SELECTED PUBLICATIONS (H-index: 91)

This is a selected list and may be outdated. For the most current list, please visit my Google Scholar profile.

Books

Transfer Learning Algorithms Applications and Practices

Fuzhen Zhuang, Yongchun Zhu, Hengshu Zhu, Hui Xiong
China Machine Press, 2023
ISBN: 9787111726500


Encyclopedia of GIS, 2nd edition

Shashi Shekhar, Hui Xiong, and Xun Zhou (Editor-in-Chiefs)
Springer, 2017
ISBN-13: 978-3319178844, ISBN-10: 3319178849


Big Data in Complex and Social Networks (Chapman & Hall/CRC Big Data Series)

My T. Thai, Weili Wu and Hui Xiong
November, 2016
ISBN-10: 1498726844, ISBN-13: 978-1498726849


Encyclopedia of GIS, 1st edition

Shashi Shekhar and Hui Xiong (Editor-in-Chiefs)
Springer, January, 2008
ISBN-10: 0387359753, ISBN-13: 978-0387359755
Selected by CHOICE Reviews as CHOICE Outstanding Academic Title of the Year 2008, Springer


Clustering and Information Retrieval

Weili Wu, Hui Xiong, Shashi Shekhar (Eds.)
Kluwer Academic Publishers, 2003
ISBN: 1-4020-7682-7


Journal Papers

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models

Haoran Xin, Ying Sun, Chao Wang, Hui Xiong
ACM Transactions on Information Systems (ACM TOIS), 2025


Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach

Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
ACM Transactions on Management Information Systems (ACM TMIS), 2025


Examination Process Modeling for Intelligent Patent Management: A Multi-aspect Neural Sequential Approach

Han Wu, Le Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
ACM Transactions on Management Information Systems (ACM TMIS), 2025


Jobformer: Skill-aware job recommendation with semantic-enhanced transformer

Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2025


A survey of text watermarking in the era of large language models

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip Yu
ACM Computing Surveys (ACM CSUR), 2025


On the Generalization and Causal Explanation in Self-Supervised Learning

Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
International Journal of Computer Vision (IJCV), 2025


TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation

Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong
ACM Transactions on Information Systems (ACM TMIS), 2024


Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective

Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024


Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation

Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024


Manifold Constraint Regularization for Remote Sensing Image Generation

Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong
IEEE Transactions on Geoscience and Remote Sensing, 2024


Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment

Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024


University Evaluation through Graduate Employment Prediction: An Influence based Graph Autoencoder Approach

Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024


Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment

Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024


Public Bike Scheduling Strategy Based on Demand Prediction for Unbalanced Life-Value Distribution

Heli Sun, Zunye Tang, Mengting Cao, Yu Wang, Zhou Yang, Haokun Xue, Ruirui Xue, Liang He, Hui Xiong
IEEE Transactions on Intelligent Transportation Systems, 2024


Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation

Hanzhe Li, Jingjing Gu, Xinjiang Lu, Dazhong Shen, Yuting Liu, YaNan Deng, Guoliang Shi, Hui Xiong
ACM Transactions on Information Systems (ACM TOIS), 2024


Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling

Yi Xu, Liangzhe Han, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024


Token-event-role structure-based multi-channel document-level event extraction

Qizhi Wan, Changxuan Wan, Keli Xiao, Hui Xiong, Dexi Liu, Xiping Liu, Rong Hu
ACM Transactions on Information Systems (ACM TOIS), 2024


How recommendation letters affect career Mobility: Evidence from a social networking sites LinkedIn

Rui Chang, Xin Wei, Xi Zhang, Hui Xiong, Hengshu Zhu
Computers in Human Behavior, 2024


Large-scale Online Job Search Behaviors Reveal Labor Market Shifts Amid COVID-19

Ying Sun, Hengshu Zhu, Lu Wang, Le Zhang, Hui Xiong
Nature Cities (2024): 1-14, 2024


Diffcharge: Generating ev charging scenarios via a denoising diffusion model

Siyang Li, Hui Xiong, Yize Chen
IEEE Transactions on Smart Grid (IEEE TSG), 2024


Rdgt: enhancing group cognitive diagnosis with relation-guided dual-side graph transformer

Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024


BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks

Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Proceedings of the VLDB Endowment (IEEE VLDB), 2024


LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading

Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing

Xiao Han, Yuncong Yang, Junjie Wu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


Setrank: A setwise bayesian approach for collaborative ranking in recommender system

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems (ACM TOIS), 2023


Joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning

Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong
IEEE Transactions on Services Computing (IEEE TSC), 2023


Adaptive clustering based personalized federated learning framework for next poi recommendation with location noise

Ziming Ye, Xiao Zhang, Xu Chen, Hui Xiong, Dongxiao Yu
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


GIANT: Protein-Ligand Binding Affinity Prediction via Geometry-aware Interactive Graph Neural Network

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


Expanding the Prediction Capacity in Long Sequence Time-Series Forecasting

Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong
Artificial Intelligence Journal, 2023


Reinforced imitative graph learning for mobile user profiling

Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, and Charles E. Hughes
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
ACM Transactions on Information Systems (ACM TOIS), 2023


Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals

Weiyu Guo, Ning Jiang, Dario Farina, Jiangyong Su, Zheng Wang, Chuang Liu, and Hui Xiong
IEEE Transactions on Human-Machine Systems, 2023


A Dual-Channel Semi-Supervised Learning Framework on Graphs via Knowledge Transfer and Meta-Learning

Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Zian-Sheng Hua, and Hui Xiong
ACM Transactions on the Web, 2023


Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training

Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, and Hui Xiong
The VLDB Journal (IEEE VLDB), 32, no.2, 2023


Meta attention-generation network for cross-granularity few-shot learning

Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui, Xiong, and Ji-Rong, Wen.
International Journal of Computer Vision, 2023


Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective

Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Xiaojuan Ma, and Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD), 1-24, 2023


Hierarchical interdisciplinary topic detection model for research proposal classification.

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, and Yuanchun Zhou
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


Kill Two Birds with One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction

Jindong, Han, Hao Liu, Hengshu Zhu, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


Automatic Skill-oriented Question Generation and Recommendation for Intelligent Job Interviews

Chuang Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, and Hui Xiong
ACM Transactions on Information Systems (TOIS), 2023


An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems

Honeke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, and Hui Xiong
INFORMS Journal on Computing (IJOC), 2023


Exploring the tidal effect of urban business district with large-scale human mobility data

Niu, Hongting, Y Sun, H Zhu, C Geng, J Yang, H Xiong
Frontiers of Computer Science, 2023


Topic-sensitive expert finding based solely on heterogeneous academic networks

Gao, Xiaonan; Wu, Sen; Xia, Dawen; Xiong, Hui
Expert Systems with Applications, 2023


GS $^{2} $-RS: A Generative Approach for Alleviating Cold start and Filter bubbles in Recommender Systems

Xu, Yuanbo; Wang, En; Yang, Yongjian; Xiong, Hui
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023


Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning

Shen, Dazhong; Zhu, Hengshu; Xiao, Keli; Zhang, Xi; Xiong, Hui
ACM Transactions on Management Information Systems (TMIS), 2023


Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction

Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Unified Route Representation Learning for Multi-Modal Transportation Recommendation with Spatiotemporal Pre-Training

Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, and Hui Xiong
VLDB Journal, 2022


RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation

Weijia Zhang, Hao Liu, Tong Xu, Fan Wang, Haoran Xin, Hua Wu, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Towards Automatic Job Description Generation with Capability-Aware Neural Networks

Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Heterogeneous Graph Representation Learning with Relation Awareness

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Graph-Grounded Goal Planning for Conversational Recommendation

Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


MANE: Organizational Network Embedding with Multiplex Attentive Neural Networks

Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet-process-based Latent Factor Model

Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, and Hui Xiong
INFORMS Journal on Computing (IJOC), 2022


A cost-effective sequential route recommender system for taxi drivers

Liu, Junming, M Teng, W Chen, H Xiong
INFORMS Journal on Computing (IJOC), 2022


Hyperbolic Temporal Network Embedding

Menglin, Yang, Min, Zhou, Hui, Xiong, and Irwin, King
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Semantic and Structural View Fusion Modeling for Social Recommendation

Kun Yuan, Guannan, Liu, Junjie, Wu, and Hui, Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Healthy cities initiative in China: Progress, challenges, and the way forward

Yuqi, Bai, Yutong, Zhang, Qlena Zotova, Helen, Pineo, Jose, Siri, Lu, Liang, Xiangyu, Luo, Mei-Po Kwan, John Ji. Xiaopeng Jiang, Cordia Chu, Na Cong, Vivian Lin, William Summerskill, Yong Luo, Hongjun Yu, Tinghai Wu, Changhong Yang, Jing Li, Yixiong Xiao, Jingbo Zhou, Dejing Dou, Hui Xiong, Lee Ligang Zhang, Lan Wang, Shu Tao, Bojie Fu, Yong Zhang, Bing Xu, Jun Yang
The Lancet Regional Health-Western Pacific, 2022


Complex Attributed Network Embedding for medical complication prediction

Zhe, Zhang, Hui, Xiong, Tong, Xu, Chuan, Qin, Le, Zhang, and, Enhong, Chen
Knowledge and Information Systems, 2022


Modeling multiple views via implicitly preserving global consistency and local complementarity

Jiangmeng, Li, Wenwen, Qiang, Changwen, Zhang, Bing,Su, Ji-Rong Wen, and Hui, Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network

NengJun, Zhu, Jian, Cao, XinJiang, Lu, ChuanRen, Liu, YanYan, Li, XiangFeng, Luo, and Hui, Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022


From human-AI confrontation to human-AI symbiosis in society 5.0: Transformation challenges and mechanisms

Xi Zhang, Xin Wei, Carol X.J. Ou, Emiel Caron, Hengshu, Zhu, and Hui, Xiong
IT Professional, 2022


What is Market Talking about Market-oriented Prospect Analysis for Entrepreneur Fundraising

HongKe, Zhao, Yihang, Cheng, Xi Zhang, Hengshu, Zhu, Qi, Liu, Hui, Xiong, and Wei, Zhang
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Adaptive model scheduling for resource-efficient data labeling

Yuan, Mu; Zhang, Lan; Li, Xiang-Yang; Yang, Lin-Zhuo; Xiong, Hui
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022


Online poi recommendation: Learning dynamic geo-human interactions in streams

Wang, Dongjie; Liu, Kunpeng; Xiong, Hui; Fu, Yanjie
IEEE Transactions on Big Data, 2022


Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond

Hao, Liu, QingYu, Guo, Hengshu, Zhu, FuZhen, Zhuang, ShenWen, Yang, DeJing, Dou, and Hui, Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022


Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting

Zijun Yao, Deguang, Kong, Miao, Lu, Xiao, Bai, Jian, Yang, and Hui, Xiong
IEEE Transactions on Big Data, 2022


Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning

Yang, Yang; Wei, Hongchen; Zhu, Hengshu; Yu, Dianhai; Xiong, Hui; Yang, Jian
IEEE Transactions on Cybernetics, 2022


Multi-faceted knowledge-driven pre-training for product representation learning

Zhang, Denghui; Liu, Yanchi; Yuan, Zixuan; Fu, Yanjie; Chen, Haifeng; Xiong, Hui
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022


Market-oriented Job Skill Valuation with Cooperative Composition Neural Network

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, Hui Xiong
Nature Communications, 2021


Topic modeling revisited: A document graph-based neural network perspective

Shen, Dazhong, C, Qin, C, Wang, Z, Dong
Advances in Neural Information Processing Systems 34 (2021): 14681-14693


Deep multi-task learning with relational attention for business success prediction

Zhao, Jiejie; Du, Bowen; Sun, Leilei; Lv, Weifeng; Liu, Yanchi; Xiong, Hui
Pattern Recognition, 2021


Knowledge graph embedding with shared latent semantic units

Zhang, Zhao; Zhuang, Fuzhen; Qu, Meng; Niu, Zheng-Yu; Xiong, Hui; He, Qing
Neural Networks, 2021


A predictive indicator using lender composition for loan evaluation in P2P lending

Guo, Yanhong; Jiang, Shuai; Zhou, Wenjun; Luo, Chunyu; Xiong, Hui
Financial Innovation, 2021


Correction to: An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications

Zhang, Xi; Wang, Xianhai; Zhao, Hongke; de Pablos; Patricia Ordóñez; Sun, Yongqiang; Xiong, Hui
Scientometrics, 2021


Exploiting Networks Fusion for Organizational Turnover Prediction

Mingfei Teng, Hengshu Zhu*, Chuanren Liu, Hui Xiong*
ACM Transactions on Management Information Systems (ACM TMIS), 2021


Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach

Chao, Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui, Xiong
ACM Transactions on Information Systems (ACM TOIS), 2021


Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Corporate Relative Valuation using Heterogeneous Multi-Modal Graph Neural Network

Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiao-Ru Gao, Hui, Xiong, Jian Yang
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Joint Representation Learning with Relation-enhanced Topic Models for Intelligent Job Interview Assessment

Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems (ACM TOIS), 2021


Exploring the risky travel area and behavior of car-hailing service

HongTing Niu, HengShu Zhu, Ying Shu, XinJiang Lu, Jing Sun, ZhiYuan Zhao, Hui Xiong and Bo Lang
ACM Transactions on Intelligent Systems and Technology (TIST), 2021


Fedhar: Semi-supervised online learning for personalized federated human activity recognition.

HongZheng Yu, Zekai Chen, Xu Chen, Hui Xiong and Xiuzhen Cheng
IEEE Transactions on Mobile Computing 2021


Towards robust knowledge graph embedding via multi-task reinforcement learning

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He and Yongjun Xu
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


S2OSC: A holistic semi-supervised approach for open set classification

Yang Yang; Wei Hongchen; Sun Zhen-Qiang; Li Guang-Yu; Zhou Yuanchun; Xiong Hui; Yang Jian
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021


Learning adaptive embedding considering incremental class

Yang Yang; Sun Zhen-Qiang; Zhu Hengshu; Fu Yanjie; Zhou Yuanchun; Xiong Hui; Yang Jian
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Interactive reinforcement learning for feature selection with decision tree in the loop

Fan Wei; Liu Kunpeng; Liu Hao; Ge Yong; Xiong Hui; Fu Yanjie
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Competitive relationship prediction for points of interest: A neural graphlet based approach

Zhou Jingbo; Huang Tao; Li Shuangli; Hu Renjun; Liu Yanchi; Fu Yanjie; Xiong Hui
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Diagnostic sparse connectivity networks with regularization template

Qu Yue; Liu Chuanren; Zhang Kai; Xiao Keli; Jin Bo; Xiong Hui
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Exploiting network fusion for organizational turnover prediction

Teng Mingfei; Zhu Hengshu; Liu Chuanren; Xiong Hui
ACM Transactions on Management Information Systems (TMIS), 2021


Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results

Zhang Qi; Zhu Hengshu; Liu Qi; Chen Enhong; Xiong Hui
ACM Transactions on Information Systems (TOIS), 2021


A comprehensive survey on graph anomaly detection with deep learning

Ma Xiaoxiao; Wu Jia; Xue Shan; Yang Jian; Zhou Chuan; Sheng Quan; Xiong Hui; Akoglu, Leman
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Platform-Oriented Event Time Allocation

Sun Heli; Wang Ning; Jia Jingyu; Huang Jianbin; Xiong Hui; He Liang; Liu Xinwang; Zhang Shan; Qiao Shaojie; Zhao Jizhong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Robust local preserving and global aligning network for adversarial domain adaptation

Qiang Wenwen; Li Jiangmeng; Zheng Changwen; Su Bing; Xiong Hui
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Automated feature selection: A reinforcement learning perspective

Liu Kunpeng; Fu Yanjie; Wu Le; Li Xiaolin; Aggarwal Charu; Xiong Hui
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Learning a hierarchical intent model for next-item recommendation

Zhu Nengjun; Cao Jian; Lu Xinjiang; Xiong Hui
ACM Transactions on Information Systems (TOIS), 2021


Iterative prediction-and-optimization for E-logistics distribution network design

Liu Junming; Chen Weiwei; Yang Jingyuan; Xiong Hui; Chen Can
INFORMS Journal on Computing, 2021


Automatic treatment regimen design

Sun Leilei; Liu Chuanren; Chen Guoqing; Guo Chonghui; Xiong Hui; Xie Yanming
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


Cost-effective incremental deep model: Matching model capacity with the least sampling

Yang Yang; Zhou Da-Wei; Zhan De-Chuan; Xiong Hui; Jiang Yuan; Yang Jian
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021


A Survey on Knowledge Graph-Based Recommendation Systems

Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020


Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach

Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020


Attribute Graph Neural Networks for Strict Cold Start Recommendation

Tieyun Qian, Yile Liang, Qing Li, and Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020


Automatic Treatment Regimen Design

Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (2020)


NCF: A Neural Context Fusion Approach to Raw Mobility Annotation

Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong
IEEE Trans. on Mobile Computing (IEEE TMC), 2020


Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries

Hengshu Zhu, Ying Sun, Wenjia Zhao, Fuzhen Zhuang, Baoshan Wang, Hui Xiong
In Nature Scientific Reports, 2020


An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong
In ACM Transactions on Information Systems (ACM TOIS), 2020


Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo
ACM Transactions on Knowledge Discovery from Data (ACM TKDD) 14(1): 10:1-10:27 (2020)


Detecting Pickpocket Suspects from Large-Scale Public Transit Records

Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong
IEEE Transactions Knowledge and Data Engineering (IEEE TKDE), 31(3): 465-478 (2019)


An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications

Xi Zhang, Xianhai Wang, Hongke Zhao, Patricia Ordóñez de Pablos, Yongqiang Sun, Hui Xiong
Scientometrics 119(3): 1311-1344 (2019)


Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data

Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 31(3): 535-548 (2019)


Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation

Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) 31(6): 1122-1135 (2019)


Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling

Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 31(10): 1926-1939 (2019)


Transit Pattern Detection Using Tensor Factorization

Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, Hui Xiong
INFORMS Journal on Computing (JOC), 31(2): 193-206 (2019)


Which startup to invest in: a personalized portfolio strategy

Hao Zhong, Chuanren Liu, Junwei Zhong, Hui Xiong
Annals OR, 263(1-2): 339-360 (2018)


A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis

Yanjie Fu, Junming Liu, Xiaolin Li, Hui Xiong
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 9(4): 40:1-40:24 (2018)


SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations

Bowen Du, Yifeng Cui, Yanjie Fu, Runxing Zhong, Hui Xiong
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 9(6): 70:1-70:26 (2018)


Personalized Air Travel Prediction: A Multi-factor Perspective

Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
ACM Transactions on Intelligent Systems and Technology (ACM TIST) 9(3): 30:1-30:26 (2018)


Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning

Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li
ACM Transactions on Management Information Systems (ACM TMIS), 9(3): 12:1-12:17 (2018)


Price Shock Detection With an Influence-Based Model of Social Attention

Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong
ACM Transactions on Management Information Systems (ACM TMIS), 9(1): 2:1-2:21 (2018)


Paradoxical Correlation Pattern Mining

Wenjun Zhou, Hui Xiong, Lian Duan, Keli Xiao, Robert Mee
IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(8): 1561-1574 (2018)


A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation

Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(5): 810-823 (2018)


A Proactive Workflow Model for Healthcare Operation and Management

Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(3):586-598, 2017


Modeling Buying Motives for Personalized Product Bundle Recommendation

Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen
ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 11(3), 28:1-28:26, 2017


An Influence Propagation View of PageRank

Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang
ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 11(3): 30:1-30:30, 2017


A Unified Framework for Metric Transfer Learning

Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(6): 1158-1171 (2017)


Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps

Yanjie Fu, Hui Xiong, Xinjiang Lu, Jin Yang, Can Chen
IEEE Transactions on Mobile Computing (TMC), 15(11):2851-2864, 2016


Structural Analysis of User Choices for Mobile App Recommendation

Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
ACM Transactions on Knowledge Discovery from Data (TKDD) 11(2): 17:1-17:23, 2016


Modeling of Geographical Dependencies for Real Estate Ranking

Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD), 11(1):11:1-11:27, 2016


Instance-Based Credit Risk Assessment for Investment Decisions in P2P Lending

Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, Hui Xiong
European Journal of Operational Research (EJOR) 249(2): 417-426, 2016


Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization

Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 211-223, 2016


Discovery of Ranking Fraud for Mobile Apps

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 74-87, 2015


K-Means-Based Consensus Clustering: A Unified View

Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 155-169, 2015


A General Geographical Probabilistic Factor Model for Point of Interest Recommendation

Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, and Zijun Yao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5): 1167-1179, 2015


Discovering Urban Functional ZonesUsing Latent Activity Trajectories

Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong
IEEE Transaction Knowledge Data Engineering (TKDE), 27(3): 712-725, 2015


An Adaptive Framework Coping with Dynamic Target Speed for Device-Free Passive Localization

Xiuyuan Zheng, Jie Yang, Yingying Chen, Hui Xiong
IEEE Transactions on Mobile Computing (TMC), 14(6): 1138-1150, 2015


Cost-aware Collaborative Filtering for Travel Tour Recommendations

Yong Ge, Hui Xiong, Alexander Tuzhilin and Qi Liu
ACM Transactions on Information Systems (TOIS), 32(1): 4:1-4:31, 2014


Popularity Modeling for Mobile Apps: A Sequential Approach

Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen
IEEE Transactions on Cybernetics (TC), 45(7): 1303-1314, 2015


Ranking Metric Anomaly in Invariant Networks

Yong Ge, Guofei Jiang, Min Ding, and Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 8 Issue 2, No. 8, 2014


Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach

Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian
ACM Transactions on Knowledge Discovery from Data (TKDD), 9(2): 10:1-10:29, 2014


A Cocktail Approach for Travel Package Recommendation

Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(2):278-293, 2014


Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification

Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong
IEEE Transactions on Cybernetics (TC), 44(7): 1191-1203, 2014


Object-Oriented Travel Package Recommendation

Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu
ACM Transactions on Intelligent Systems and Technology (ACM TIST) 5(3): 43:1-43:26, 2014


Mobile App Classification with Enriched Contextual Information

Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian
IEEE Transactions on Mobile Computing (TMC), 13(7): 1550-1563, 2014


Mining Mobile User Preferences for Personalized Context-Aware Recommendation

Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian
ACM Transaction on Intelligent Systems and Technology (TIST), 5(4): 58:1-58:27, 2014


Topic formation and development: a core-group evolving process

Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu
World Wide Web: Internet and Web Information Systems, 17(6): 1343-1373 (2014)


SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering

Jie Cao, Zhiang Wu, Junjie Wu, Hui Xiong
IEEE Transactions on Cybernetics (TC), 43(2), 570-584, 2013


Understanding and Enhancement of Internal Clustering Validation Measures

Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, Sen Wu
IEEE Transactions on Cybernetics (TC), Vol. 43, No. 3, pp. 982-994, 2013


The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining

Byron Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25, No. 3, pp.690-703, 2013


Mining Blackhole and Volcano Patterns in Directed Graphs: A General Approach

Zhongmou Li, Hui Xiong, Yanchi Liu
Data Mining and Knowledge Discovery Journal, pp.577-602, 2012


Detecting and Tracking Topics and Events from Web Search Logs

Hongyan Liu, Jun He, Yingqin Gu, Hui Xiong, Xiaoyong Du
ACM Transactions on Information Systems (TOIS), 30(4), 2012


A Generalization of Distance Functions for Fuzzy c-Means Clustering

Junjie Wu, Hui Xiong, Chen Liu, and Jian Chen
IEEE Transactions on Fuzzy Systems (TFS), 20(3): 557 - 571, 2012


Distance Metrics for High Dimensional Nearest Neighborhood Recovery: Compression and Normalization

Stephen France, Douglas Carroll, Hui Xiong
Information Sciences, 184(1): 92 - 110, 2012


Adapting the Right Measures for Pattern Discovery: A Unified View

Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, Jianming Zhu
IEEE Transactions on Systems, Man, and Cybernetics, Part B (TSMCB), 42(4): 1203-1214, 2012


On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach

Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao. Steven J. M. Jones
IEEE Trans. Knowl. Data Eng. (TKDE), 24(2): 309-325, 2012


Mining Distinction and Commonality across Multiple Domains using Generative Model for Text Classification

Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(11): 2025 - 2039, 2012


Enhancing Collaborative Filtering by User Interests Expansion via Personalized Ranking

Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen
IEEE Transactions on Systems, Man, and Cybernetics --- Part B (TSMCB), 42(1): 218-233, 2012


Semantics Based Automated Service Discovery

Aabhas Paliwal, Basit Shafiq, Jaideep Vaidya, Hui Xiong, and Nabil Adam
IEEE Transactions on Services Computing (TSC), 5(2), pp. 260-275, 2012


Checkpoint Evolution for Volatile Correlation Computing

Wenjun Zhou, Hui Xiong
Machine Learning, 83(1): 103-131, 2011


Multi-focal Learning for Customer Problem Analysis

Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li and Ramendra Sahoo
ACM Transaction on Intelligent Systems and Technology (TIST), 2(3): 24:1-24:22, 2011


On Multi-type Reverse Nearest Neighbor Search

Xiaobin Ma, Chengyang Zhang, Shashi Shekhar, Yan Huang, and Hui Xiong
Data & Knowledge Engineering (DKE), 70(11): 955-983, 2011


Scaling up Top-K Cosine Similarity Search

Shiwei Zhu, Junjie Wu, Hui Xiong, and Guoping Xia
Data and Knowledge Engineering (DKE), 70(1): 60-83, 2011


COG: Local Decomposition for Rare Class Analysis

Junjie Wu, Hui Xiong, Jian Chen
Data Mining and Knowledge Discovery Journal (DMKD), 20(2): 191 - 220, 2010


Cross-domain Learning From Multiple Sources: A Consensus Regularization Perspective

Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi
IEEE Transactions on Knowledge and Data Engineering (TKDE), 22(12): 1664-1678, 2010


Achieving Guaranteed Anonymity in GPS Traces via Uncertainty-Aware Path Cloaking

Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady
IEEE Transactions on Mobile Computing (TMC), 9(8): 1089-1107, 2010. (selected as the Spotlight Paper for the August 2010 issue)


High-dimensional kNN joins with incremental updates

Cui Yu, Rui Zhang, Yaochun Huang, Hui Xiong
the GeoInformatica. An Int'l Journal on Advances of Computer Science for Geographic Information System, 14(1): 55 - 82, 2010


K-means Clustering Versus Validation Measures: A Data Distribution Perspective

Hui Xiong, Junjie Wu, and Jian Chen
IEEE Transactions on Systems, Man, and Cybernetics --- Part B (TSMCB), 39(2): 318-331, 2009


Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization

Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, Zhongzhi Shi
IEEE Transactions on Knowledge and Data Engineering (TKDE). 21(9): 1249-1262, 2009


Mining Globally Distributed Frequent Subgraphs in a Single Labeled Graph

Xing Jiang, Hui Xiong, Chen Wang, Ah-Hwee Tan
Data & Knowledge Engineering (DKE), 68(10), pp. 1034 - 1058, 2009


Characterizing Pattern Preserving Clustering

Hui Xiong, Michael Steinbach, Arifin Ruslim, Vipin Kumar
the Knowledge and Information Systems (KAIS) 19(3): 311-336, 2009


Object Discovery in High-Resolution Remote Sensing Imagery: A Semantic Perspective

Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam
the Knowledge and Information Systems (KAIS) 19(2): 211-233, 2009


TOP-K $\phi$ Correlation Computation

Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma
INFORMS Journal on Computing (JOC), 20(4): 539-552, 2008


Privacy Leakage in Multi-relational Databases: A Semi-supervised Learning Perspective

Hui Xiong, Michael Steinbach, Vipin Kumar
VLDB Journal Special Issue on Privacy Preserving Data Management, 15(4): 388-402, 2006


TAPER: A Two-Step Approach for All-strong-pairs Correlation Query in Large Databases

Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(4): 493-508, 2006


Hyperclique Pattern Discovery

Hui Xiong, Pang-Ning Tan, and Vipin Kumar
Data Mining and Knowledge Discovery Journal, 13(2): 219-242, 2006


Enhancing Data Analysis with Noise Removal

Hui Xiong, Gaurav Pandey, Michael Steinbach, Vipin Kumar
IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(3): 304-319, 2006


Mining Co-location Patterns in Spatial Data Sets with Rare Events

Yan Huang, J. Pei, and Hui Xiong
GeoInformatica - An International Journal on Advances of Computer Science for Geographic Information Systems, 10(3), 2006


IDR/QR. An Incremental Dimension Reduction Algorithm via QR Decomposition

Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, and Vipin Kumar
IEEE Transactions on Knowledge and Data Engineering (TKDE), Special Issue - Intelligent Data Preparation, 17(9): 1208-1222, 2005


Discovering Co-location Patterns from Spatial Datasets: A General Approach

Yan Huang, Shashi Shekhar, and Hui Xiong (Corresponding Author)
IEEE Transactions on Knowledge and Data Engineering (TKDE), 16(12): 1472 - 1485, December 2004


Conference Papers

Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025


Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks

Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


A survey on large language models for recommendation

Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
World Wide Web (WWW), 2024


CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control

Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations

Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization

Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


Urban foundation models: A survey

Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


Urban foundation models: A survey

Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


Optimized Cost Per Click in Online Advertising: A Theoretical Analysis

Kaichen Zhang, Zixuan Yuan, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


COMET: NFT Price Prediction with Wallet Profiling

Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024


Pre-dygae: Pre-training enhanced dynamic graph autoencoder for occupational skill demand forecasting

Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong
Proceedings of the 33th International Joint Conference on Artificial Intelligence (IJCAI), 2024


Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking

Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
Advances in Neural Information Processing Systems (NeurIPS-2024), 2024


Graph Signal Diffusion Model for Collaborative Filtering

Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024


Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification

Le Dai, Yu Yin, Enhong Chen, Hui Xiong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024


MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment

Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong
(SIGIR), 2024


AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations

Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
(SIGIR), 2024


Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning

Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong
In Proceedings of the ACM on Web Conference 2024 (WWW), 2024


Collaboration-Aware Hybrid Learning for Knowledge Development Prediction

Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong
In Proceedings of the ACM on Web Conference 2024 (WWW), 2024


Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024


Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024


UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction

Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong
Advances in Neural Information Processing Systems (NeurIPS), 2024


Interactive interior design recommendation via coarse-to-fine multimodal reinforcement learning

He Zhang, Ying Sun, Weiyu Guo, Yafei Liu, Haonan Lu, Xiaodong Lin, Hui Xiong
In Proceedings of the 31st ACM International Conference on Multimedia, (ACM MM), 2023


Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification

Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng
In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023


Multi-Temporal Relationship Inference in Urban Areas

Shuangli Li, J Zhou, J Liu, T Xu, E Chen, Hui Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


Community-based Dynamic Graphy Learning for Popularity Prediction

Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD), 2023


Spatial Heterophily Aware Graph Neural Networks

Chongxi Xiao, Jingbo Zhou, J Huang, Tong Xu, Hui Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections

Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, and Hui, Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction

Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang, Hui Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation

Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification

Wenzhi Li, Changdong Wang, Hui Xiong, Jianhuang Lai
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


HomoGCL: Rethinking Homophily in Graph Contrastive Learning

Wenzhi Li, Changdong Wang, Hui Xiong, Jianhuang Lai
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023


Semi-supervised Domain Adaptation in Graph Transfer Learning

Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, and Hui Xiong
Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023


Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis

Qi Zhang, Hengshu Zhu, P Wang, Enhong Chen, Hui Xiong
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies: 1-21., 2023


Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction

Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong
International Conference on Knowledge Science, Engineering and Management (KSEM), 2023


DDR: Dialogue based Doctor Recommendation for Online Medical Service

Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, and Hui Xiong
The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Data Science Track)


CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences

Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, and Hui Xiong
The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Data Science Track)


Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, and Hui Xiong
The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Data Science Track)


Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction

Liangzhe Han, Xianjian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, and Hui Xiong
The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Research Track)


Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting

Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, and Hui Xiong
The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Research Track)


Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing

Weijia Zhang, Hao Liu , Jindong Han, Yong Ge, and Hui Xiong
The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Research Track)


CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users

Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, and Hui Xiong
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2022)


CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction

Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, and Hui Xiong
In Proceedings of the 29th World Wide Web Conference (WWW 2022)


GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, and Hui Xiong
In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)


Learning to Walk with Dual Agents for Knowledge Graph Reasoning

Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, and Hui Xiong
In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)


Knowledge Enhanced Person-Job Fit for Talent Recruitment

Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong
In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE 2022)


Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation

Jingci, Ming, Le, Zhang, Wei, Fan, Weijia, Zhang, Yu, Mei, Weicen, Ling, and Hui, Xiong
2022 IEEE International Conference on Data Mining (ICDM 2022)


Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation

Le, Dai,Yu, Yin, Chuan, Qin, Enhong, Chen, and Hui, Xiong
2022 IEEE International Conference on Data Mining (ICDM 2022)


Interventional contrastive learning with meta semantic regularizer

Wenwen, Qiang, Jiangmeng, Li, Chuangwen Zheng, Bing, Su, and Hui, Xiong
International Conference on Machine Learning (ICML 2022)


Metaug: Contrastive learning via meta feature augmentation

Jiangmeng Li, Wenwen Xiang, Changwen Zheng, Bing, Su, and, Hui, Xiong
International Conference on Machine Learning (ICML 2022)


Customized Conversational Recommender Systems

Li, Shuokai; Zhu, Yongchun; Xie, Ruobing; Tang, Zhenwei; Zhang, Zhao; Zhuang, Fuzhen; He, Qing; Xiong, Hui
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2022


MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning

Li, Jiangmeng; Qiang, Wenwen; Zhang, Yanan; Mo, Wenyi; Zheng, Changwen; Su, Bing; Xiong, Hui
Advances in Neural Information Processing Systems (NeurIPS-2021), 2022


Attentive Heterogeneous Graph Embedding for Job Mobility Prediction

Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, and Hui Xiong
The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021


Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective

Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, and Hui Xiong
In Proceedings of the 28th World Wide Web Conference (WWW), 2021


Representation Learning on Knowledge Graphs for Node Importance Estimation

Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, and Weifeng Lv
The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021


Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups

Shengming Zhang, Hao Zhong, Zixuan Yuan, and Hui Xiong
The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021


Is AI Better Than Human in Identifying HighPotential Talents? A Quasi-Field Experiment

Yihang Cheng, Xi Zhang, Xinlin Tang, Hengshu Zhu
In Proceedings of Twenty-Seventh Americas Conference on Information Systems (AMCIS), 2021


Discerning decision-making process of deep neural networks with hierarchical voting transformation

Sun, Ying, H, Zhu, C, Qin, F, Zhuang, Q, He, H, Xiong
Advances in Neural Information Processing Systems (NeurIPS) 34 (2021): 17221-17234


Butterfly-Core Community Search over Labeled Graphs

Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong
In proceedings of the 47th International Conference on Very Large Data Bases (VLDB), 2021


Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling

Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, and Hui Xiong
In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021


Effectiveness of AI in Strategic Decision Making: An Empirical Study on Identifying High-Potential Talents

Yihang Cheng, Xinlin Tang, Xi Zhang, Hui Xiong
International Conference on Information Systems (ICIS), 2021


A Trend-aware Investment Target Recommendation System with Heterogeneous Graph

Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong
2021 International Joint Conference on Neural Networks (IJCNN), 2021


Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Zuohui Fu, Fuzhen Zhuang, Hui Xiong, and Haifeng Chen
The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021


Embedding Fairness into the AI-based Talent Recruitment Systems: The Perspective of Environment Cycle and Knowledge Cycle

Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu
In Proceedings of Twenty-Fifth Pacific Asia Conference on Information Systems (PACIS), 2021


Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021


Topic Modeling Revisited: A Document Graph-based Neural Network Perspective

Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021


An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment

Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong
Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021


Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness

Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021


Talent Demand Forecasting with Attentive Neural Sequential Model

Qi Zhang,Hengshu Zhu,Ying Sun,Hao Liu,Fuzhen Zhuang, and Hui Xiong
The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2021


Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, and Hui Xiong
In Proceedings of the 28th World Wide Web Conference (WWW), 2021


Knowledge Powered Cooperative Semantic Fusion for Patent Classification

Zhe Zhang, Tong Xu, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen
CAAI International Conference on Artificial Intelligence, 2021


An interactive neural network approach to keyphrase extraction in talent recruitment.

Kaichun, Yao, Chuan, Qin, Hengshu, Zhu, Chao, Ma, JingShuai, Zhang, Yi, Du, and, Hui, Xiong
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021


Why we go where we go: Profiling user decisions on choosing POIs

Hu, Renjun; Lu, Xinjiang; Liu, Chuanren; Li, Yanyan; Liu, Hao; Gu, Jingjing; Ma, Shuai; Xiong, Hui
IJCAI'20: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2021


Coupled layer-wise graph convolution for transportation demand prediction

Ye, Junchen; Sun, Leilei; Du, Bowen; Fu, Yanjie; Xiong, Hui
Proceedings of the AAAI conference on artificial intelligence (AAAI), 2021


Joint air quality and weather prediction based on multi-adversarial spatiotemporal networks

Han, Jindong; Liu, Hao; Zhu, Hengshu; Xiong, Hui; Dou, Dejing
Proceedings of the AAAI conference on artificial intelligence (AAAI), 2021


Out-of-town recommendation with travel intention modeling

Xin, Haoran; Lu, Xinjiang; Xu, Tong; Liu, Hao; Gu, Jingjing; Dou, Dejing; Xiong, Hui
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021


Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning

Zhang, Weijia; Liu, Hao; Wang, Fan; Xu, Tong; Xin, Haoran; Dou, Dejing; Xiong, Hui
Proceedings of the Web Conference (WWW), 2021


Incremental spatio-temporal graph learning for online query-poi matching

Yuan, Zixuan; Liu, Hao; Liu, Junming; Liu, Yanchi; Yang, Yang; Hu, Renjun; Xiong, Hui
Proceedings of the Web Conference (WWW), 2021


Community-aware multi-task transportation demand prediction

Liu, Hao; Wu, Qiyu; Zhuang, Fuzhen; Lu, Xinjiang; Dou, Dejing; Xiong, Hui
Proceedings of the AAAI Conference on Artificial Intelligence (IJCAI), 2021


Detecting highlighted video clips through emotion-enhanced audio-visual cues

Hu, Linkang; He, Weidong; Zhang, Le; Xu, Tong; Xiong, Hui; Chen, Enhong
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021


Description generation for points of interest

Zhou, Meng; Zhou, Jingbo; Fu, Yanjie; Ren, Zhaochun; Wang, Xiaoli; Xiong, Hui
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021


MugRep: A multi-task hierarchical graph representation learning framework for real estate appraisal

Zhang, Weijia; Liu, Hao; Zha, Lijun; Zhu, Hengshu; Liu, Ji; Dou, Dejing; Xiong, Hui
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021


Structure-aware interactive graph neural networks for the prediction of protein-ligand binding affinity

Li, S., Zhou, J., Xu, T., Huang, L., Wang, F., Xiong, H.
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021


Medical entity relation verification with large-scale machine reading comprehension

Xia, Yuan; Wang, Chunyu; Shi, Zhenhui; Zhou, Jingbo; Lu, Chao; Huang, Haifeng; Xiong, Hui
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021


Dynamic and multi-faceted spatio-temporal deep learning for traffic speed forecasting

Han, Liangzhe; Du, Bowen; Sun, Leilei; Fu, Yanjie; Lv, Yisheng; Xiong, Hui
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining (KDD), 2021


TMC 2021: 2021 International Workshop on Talent and Management Computing

Xiong, Hui; Zhu, Hengshu; Xu, Tong; Zhang, Xi
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021


Transportation recommendation with fairness consideration

Zhou, Ding; Liu, Hao; Xu, Tong; Zhang, Le; Zha, Rui; Xiong, Hui
Database Systems for Advanced Applications, 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part III 26, 2021


Modeling context-aware features for cognitive diagnosis in student learning

Zhou, Yuqiang; Liu, Qi; Wu, Jinze; Wang, Fei; Huang, Zhenya; Tong, Wei; Xiong, Hui; Chen, Enhong; Ma, Jianhui
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021


Fair graph auto-encoder for unbiased graph representations with wasserstein distance

Fan, Wei; Liu, Kunpeng; Xie, Rui; Liu, Hao; Xiong, Hui; Fu, Yanjie
2021 IEEE International Conference on Data Mining (ICDM), 2021


A Comprehensive Survey on Transfer Learning

Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, and Qing He
In Proceedings of the IEEE (PIEEE 2020)


Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data

Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, and Hui Xiong
In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE-2020)


Stochastic Origin-Destination Matrix Forecasting using Dual-Stage Graph Convolutional, Recurrent Neural Networks

Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, and Hui Xiong
In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE-2020), 1417-1428, 2020


Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network

Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, and Hui Xiong
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)


Predicting Temporal Sets with Deep Neural Networks

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong and Weifeng Lv
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)


Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma and Hui Xiong
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)


Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning

Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzheng Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, and Hui Xiong
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)


Competitive Analysis for Points of Interest

Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu and Hui Xiong
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)


Geodemographic Influence Maximization

Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li and Hui Xiong
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, USA, 2020. (Applied Data Science Track)


Spatial Object Recommendation with Hints: When Spatial Granularity Matters

Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpeppe, Haochao Ying, Hao Liu, and Hui Xiong
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020


Dual Sequential Network for Temporal Sets Prediction

Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, and Weifeng Lv
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020


Spatio-Temporal Dual Graph Attention Networkfor Query-POI Matching

Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, and Hui Xiong
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), China, 2020


Why We Go Where We Go: Profiling User Decision on Choosing POIs

Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, and Hui Xiong
the 29th International Joint Conference on Artificial Intelligence (IJCAI-2020), Yokohama, Japan, 2020


Personalized Employee Tranining Course Recommendation with Career Development Awareness

Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
In Proceedings of The Web Conference 2020 (WWW-2020), Taipei, 2020


Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation

Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong
In Proceedings of 13th ACM International Conference on Web Search and Data Mining (WSDM-2020): 807-815


Large-Scale Talent Flow Embedding for Company Competitive Analysis

Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen
In Proceedings of The Web Conference 2020 (WWW-2020), Taipei, 2020


Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), New York City, USA, 2020


SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), New York City, USA, 2020


Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, Qing He
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), New York City, USA, 2020


Joint Representation Learning for Multi-Modal Transportation Recommendation

Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong
In Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI-2019): 1036-1043


Exploiting the Contagious Effect for Employee Turnover Prediction

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong
In Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI-2019): 1166-1173


Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang
In Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI-2019): 3638-3646


Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification

Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
In Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI-2019): 5458-5465


A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction

Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong
The 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 14-24


Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 74-82


Adversarial Substructured Representation Learning for Mobile User Profiling

Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 130-138


Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network

Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 305-313


Multiple Relational Attention Network for Multi-task Learning

Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 1123-1131


The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 1625-1633


A Collaborative Learning Framework to Tag Refinement for Points of Interest

Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Airong Jiang, Ying Li, Hui Xiong
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 1752-1761


DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview

Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 2165-2173


Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System

Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong
The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019): 2314-2324


Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach

Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu
In Proceedings of 27th ACM International Conference on Multimedia (ACM Multimedia-2019): 1401-1409


Trend-Aware Tensor Factorization for Job Skill Demand Analysis

Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-2019): 3891-3897


Comprehensive Semi-Supervised Multi-Modal Learning

Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-2019): 4092-4098


Aftershock Detection with Multi-scale Description Based Neural Network

Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu
In Proceedings of the 2019 IEEE International Conference on Data Mining (ICDM-2019): 886-895


Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach

Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong
In Proceedings of the 2019 IEEE International Conference on Data Mining (ICDM-2019): 718-727


An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction

Farid Razzak, Fei Yi, Yang Yang, Hui Xiong
In Proceedings of the 2019 IEEE International Conference on Data Mining (ICDM-2019): 1282-1287


Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2018), San Francisco, CA, USA, 2018


A Joint Learning Approach to Intelligent Job Interview Assessment

Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), Stocholm, Sweden, 2018


Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective

Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, and Hui Xiong
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018). Stockholm, Sweden, July 13-19, 2018


Representing Urban Functions through Zone Embedding with Human Mobility Patterns

Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, and Hui Xiong
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018). Stockholm, Sweden, July 13-19, 2018


Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning

Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, and Sanglu Lu
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018). Stockholm, Sweden, July 13-19, 2018


Sequential Recommender System based on Hierarchical Attention Networks

Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, and Jian Wu
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018). Stockholm, Sweden, July 13-19, 2018


Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach

Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, and Hui Xiong
In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018), New Orleans, LA, USA, 2018


Dynamic Word Embeddings for Evolving Semantic Discovery

Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, and Hui Xiong
In Proceedings of 11th ACM International Conference on Web Search and Data Mining (WSDM-2018), 2018


Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach

Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong
In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM-2018): 337-346


Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction

Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong
In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM-2018): 597-606


Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation

Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong
In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM-2018): 1356-1361


An Integrated Model for Crime Prediction Using Temporal and Spatial Factors

Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong
In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM-2018): 1386-1391


Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation

Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong
In Proceedings of 25th ACM International Conference on Multimedia (ACM Multimedia-2017): 916-924


Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling

Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing and Jieping Ye
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017


A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Mobile Users

Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, and Hui Xiong
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Canada, 2017


Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion.

Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu and Hui Xiong
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Canada, 2017


Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams

Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun and Hui Xiong
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Canada, 2017


Point of Interest Demand Modeling with Human Mobility Patterns

Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Canada, 2017


A Data-driven Process Recommender Framework

Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, Randall S. Burd, Ivan Marsic
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Canada, 2017


REMIX: Automated Exploration for Interactive Outlier Detection.

Yanjie Fu, Charu Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, and Hui Xiong
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Canada, 2017


Prospecting the Career Development of Talents: A Survival Analysis Perspective

Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong and Hongke Zhao
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017


Collaborative Company Profiling: Insights from an Employee's Perspective

Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu and Hui Xiong
In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017), 1417-1423, 2017


Learning to Recommend Accurate and Diverse Items

Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong
(WWW-2017): 183-192


Characterizing the life cycle of point of interests using human mobility patterns

Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong and Chu Guan
In Proceedings of the 2016 ACM Int'l Joint Conf. on Pervasive and Ubiquitous Computing (UbiComp-2016), pp. 1052-1063, 2016


Ensemble of Anchor Adapters for Transfer Learning

Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He
(CIKM-2016), pp. 2335-2340, 2016


Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization

Junming Liu, Leilei Sun, Weiwei Chen, Hui Xiong
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 1005-1014, 2016


Unified Point-of-Interest Recommendation with Temporal Interval Assessment

Yanchi Liu, Chuanren Liu, Bin Liu,Meng Qu, Hui Xiong
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 1015-1024, 2016


Topic Modeling of Short Texts: A Pseudo-Document View

Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 2105-2114, 2016


Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records

Bowen Du, Chuanren Liu, Wenjun Zhou, Hui Xiong
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 87-96, 2016


Recruitment Market Trend Analysis with Sequential Latent Variable Models

Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 383-392, 2016


Data-driven Automatic Treatment Regimen Development and Recommendation

Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 1865-1874, 2016


Talent Circle Detection in Job Transition Networks

Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu
The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 655-664, 2016


Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective

Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong
In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 1285-1294, 2016


Days on Market: Measuring Liquidity in Real Estate Markets

Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu
In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2016), pp. 393-402, 2016


Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model

Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen, Yingling Liu
In Proceedings of the 2016 SIAM International Conference on Data Mining (SDM-2016), pp. 135-143, 2016


The Impact of Community Safety on House Ranking

Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong
In Proceedings of the 2016 SIAM International Conf. on Data Mining (SDM-2016), pp.459-467, 2016


TO BE OR NOT TO BE FRIENDS: Exploiting Prominent Social Ties for Startup Investment

Hao Zhong, Chuanren Liu, Xinjiang Lu and Hui Xiong
In Proceedings of the 16th IEEE Conference on Data Mining (ICDM-2016), pp. 699-708, 2016


POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, and Hui Xiong
In Proceedings of the 16th IEEE Conference on Data Mining (ICDM-2016), pp. 549-558,2016


Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback

Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie, Hui Xiong
In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-2016), pp. 1732-1738, 2016


Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework

Chuanren Liu, Fei Wang, Jianying Hu and Hui Xiong
The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015), pp.705-714, 2015


Real Estate Ranking via Mixed Land-use Latent Models

Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, and Chen Zhu
The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). pp. 299-308, 2015


The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector

Constantine Vitt, Hui Xiong
The 15th IEEE International Conference on Data Mining (ICDM-2015), pp. 399-408, 2015


Learning Career Mobility and Human Activity Patterns for Job Change Analysis

Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu
The 15th IEEE International Conference on Data Mining (ICDM-2015), pp.1057-1062, 2015


Representation Learning via Semi-supervised Autoencoder for Multi-task Learning

Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He
The 15th IEEE International Conference on Data Mining (ICDM-2015), pp.1141-1146, 2015


Discovery of College Students in Financial Hardship

Chu Guan, Xinjiang Lu, Xiaolin Li, Enhong Chen, Wenjun Zhou, Hui Xiong
The 15th IEEE International Conference on Data Mining (ICDM-2015), pp. 141-150, 2015


Mining Indecisiveness in Customer Behaviors

Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie
The 15th IEEE International Conference on Data Mining (ICDM-2015), pp.281-290, 2015


Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference

Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, and Hui Xiong
In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (WSDM-2015), pp. 315-324, 2015


Understanding and modelling information dissemination patterns in vehicle-to-vehicle networks

Jiaxin Ding, Jie Gao, Hui Xiong
(ACM SIGSPATIAL/GIS-2015), 41:1-41:10, 2015


Exploring the Impact of Dynamic Mutual Influence on Social Event Participation

Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu
In Proceedings of 2014 SIAM International Conference on Data Mining (SDM-2015), pp.262-270, 2015


Convex Matrix Completion: A Trace-Ball Optimization Perspective

Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, and Qi Liu
In Proceedings of 2014 SIAM International Conference on Data Mining (SDM-2015), pp.334-342, 2015


Multi-source Information Fusion for Personalized Restaurant Recommendation

Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong
(SIGIR-2015), pp.983-986, 2015


Remix in 3D Printing: What your Sources say About You

Spiros E. Papadimitriou, Evangelos E. Papalexakis, Bin Liu, Hui Xiong
WWW (Companion Volume) 2015, pp.367-368, 2015


Mobile App Recommendation with Security and Privacy Awareness

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014), pp.951-960, 2014


Exploiting Geographic Dependencies for Real Estate Appraisal: A Mutual Perspective of Ranking and Clustering

Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou
The 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD-2014), pp.1047-1056, 2014


A Cost-Effective Recommender System for Taxi Drivers

Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014), pp.45-54, 2014


Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization

Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014), pp.1336-1345, 2014


Proactive Workflow Modeling by Stochastic Processes with Application to Healthcare Operation and Management

Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014), pp.1593-1602, 2014


Technology Prospecting for High Tech Companies through Patent Mining

Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang
In Proceedings of the 14th IEEE Conference on Data Mining (ICDM-2014), pp.220-229, 2014


Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns

Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen
In Proceedings of the 14th IEEE Conference on Data Mining (ICDM-2014), pp. 905-910, 2014


Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective

Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong
In Proceedings of the 14th IEEE Conference on Data Mining (ICDM-2014), pp.350-359, 2014


Predicting the Popularity of Online Serials with Autoregressive Models

Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan
In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM-2014), pp.1339-1348, 2014


Multi-task Multi-view Learning for Heterogeneous Tasks

Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He
In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM-2014), pp.441-450, 2014


User Preference Learning With Multiple Information Fusion For Restaurant Recommendation

Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong
In Proceedings of 2014 SIAM International Conference on Data Mining (SDM-2014), pp.470-478, 2014


Learning Geographical Preferences for Point-of-Interest Recommendation

Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong
In Proceedings of 2013 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2013), pp.1043-1051, 2013


A Theoretic Framework of K-means-based Consensus Clustering

Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao
In Proceedings of 23rd International Joint Conference on Artificial Intelligence (JICAI-2013), Oral Presentation, 2013


PageRank with Priori: An Influence Propagation Perspective

Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang
In Proceedings of 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013), Oral Presentation, 2013


Ranking Fraud Detection for Mobile Apps: A Holistic View

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM-2013), pp. 619-628, 2013


Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness

Bin Liu, Hui Xiong
In Proceedings of 2013 SIAM International Conference on Data Mining (SDM-2013), pp. 396-404, 2013


Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers

Ruilin Liu, Hui (Wendy) Wang, Philippos Mordohai, Hui Xiong
In Proceedings of 2013 SIAM International Conference on Data Mining (SDM-2013), pp. 632-640, 2013


Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems

Bin Liu, Haifeng Chen, Abhishek B. Sharma, Guofei Jiang, Hui Xiong
IEEE BigData Conference, pp.631-638, 2013


A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces

Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins
the 12th IEEE International Conference on Data Mining (ICDM-2012), pp. 449-458, 2012


Mining Personal Context-Aware Preferences for Mobile Users

Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian
the 12th IEEE Conference on Data Mining (ICDM-2012), Brussels, Belgium, 2012, pp. 1212-1217, 2012


Which Distance Metric is Right: An Evolutionary K-Means View

Chuanren Liu, Tianming Hu, Yong Ge, and Hui Xiong
the 2012 SIAM International Conference on Data Mining (SDM-2012), pp. 907-918, 2012


Exploiting Enriched Contextual Information for Mobile App Classification

Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian
The 21th ACM Conference on Information and Knowledge Management (CIKM-2012), pp. 1617-1621, 2012


Influential seed items recommendation

Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng
(RecSys-2012), 245-248, 2012


A Taxi Driving Fraud Detection System

Yong Ge, Hui Xiong, Chuanren Liu, and Zhi-Hua Zhou
the 11th IEEE International Conference on Data Mining (ICDM-2011), pp. 181 - 190, 2011


Personalized Travel Package Recommendation

Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong
the 11th IEEE International Conference on Data Mining (ICDM-2011), pp. 407 - 416, 2011. (ICDM-2011 Best Research Paper Award)


Cost-aware Travel Tour Recommendation

Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen
The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011), pp. 983-991, 2011


Collaborative filtering with collective training

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
(RecSys-2011), pp.281-284, 2011


Enhancing Investment Decision in P2P Lending: An Investor Composition Perspective

Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng
the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). pp. 292 - 300, 2011


An Energy-Efficient Mobile Recommender System

Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani
the 16th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2010), pp. 899 - 908, 2010


Detecting Blackholes and Volcanoes in Directed Networks

Zhongmou Li, Hui Xiong, Yanchi Liu, Aoying Zhou
The 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 294 - 303, 2010


An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, and Hui Xiong
the 10th IEEE International Conference on Data Mining (ICDM-2010), pp. 38 - 47, 2010


Understanding of Internal Clustering Validation Measures

Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu
the 10th IEEE International Conference on Data Mining (ICDM-2010), pp. 911 - 916, 2010


TOP-EYE: Top-k Evolving Trajectory Outlier Detection

Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Ozdemir, Jannite Yu, K.C. Lee
the 19th ACM Conference on Information and Knowledge Management (CIKM-2010), pp. 1733 - 1736, 2010


Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization

Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi
SIAM International Conf. on Data Mining (SDM-2010), pp. 13 - 24, 2010


Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments

Jie Yang, Yong Ge, Hui Xiong, Yingying Chen, and Hongbo Liu
the 29th IEEE Conference on Computer Communications (INFOCOM-2010), pp. 767 - 775, 2010


Adapting the Right Measures for K-means Clustering

Junjie Wu, Hui Xiong, Jian Chen
the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009), pp.877-886, 2009


Multi-focal Learning and Its Application to Customer Service Support

Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra Sahoo, Xiaofeng Gao, Weili Wu
the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009), pp. 349 - 358, 2009


Multi-Type Nearest Neighbor Queries On Spatial-Temproal Road Networks With Time Window Constraints

Xiaobin Ma, Shashi Shekhar, Hui Xiong
ACM GIS-2009 International Symposium on Advances in Geographic Information Systems (ACM GIS-2009), pp. 484 - 487, 2009


Efficient Discovery of Confounders in Large Data Sets

Wenjun Zhou, Hui Xiong
the 2009 IEEE International Conference on Data Mining (ICDM 2009), pp. 647-656, 2009


Enhancing Recommender Systems Under Volatile User Interest Drifts

Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong
the 18th ACM Conference on information and Knowledge Management (CIKM-2009), pp. 1257-1266, 2009


Volatile Correlation Computation: A Checkpoint View

Wenjun Zhou, Hui Xiong
the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2008), pp. 848 - 856, 2008. (Best Student Paper Award Runner-Up)


SAIL: Summation-based Incremental Learning for Information-Theoretic Clustering

Junjie Wu, Hui Xiong, Jian Chen
the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2008), pp. 740 - 748, 2008


Transfer Learning From Multiple Source Domains via Consensus Regularization

Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He
ACM 17th Conference on information and Knowledge Management (ACM-CIKM 2008), pp. 103-112, 2008


Preserving Privacy in GPS Traces via Uncertainty-Aware Path Cloaking

Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady
The 14th ACM Conference on Computer and Communications Security (CCS-2007), pp. 161 - 171, 2007


A Generalization of Proximity Functions for K-means

Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
the 2007 IEEE International Conference on Data Mining (ICDM-2007), pp. 361 - 370, 2007


Failure Prediction in IBM BlueGene/L Event Logs

Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra Sahoo
the 2007 IEEE International Conference on Data Mining (ICDM-2007), pp. 583 - 588, 2007


Local Decomposition for Rare Class Analysis

Junjie Wu, Hui Xiong, Wu Peng, Jian Chen
the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2007), pp. 814 - 823, 2007


Distributed Classification in Peer-to-Peer Networks

Ping Luo, Hui Xiong, Kevin Lddotu, Zhongzhi Shi
the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2007), pp. 968 - 976, 2007


Enhancing Semi-Supervised Clustering: A Feature Projection Perspective

Wei Tang, Hui Xiong, Shi Zhong, Jie Wu
submitted to the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2007), pp. 707 - 716, 2007


the Minimum Consistent Subset Cover Problem and its Applications in Data Mining

Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, and Hui Xiong
the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD-2007), pp. 310 - 319, 2007


Co-Preserving Patterns in Bipartite Partitioning for Topic Identification

Tianming Hu, Hui Xiong, Sam Y. Sung
in Proceedings of the Seventh SIAM Int'l Conf. on Data Mining (SDM-2007), pp. 509 - 514, 2007


TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases

Hui Xiong, Mark Brodie, Sheng Ma
in Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM-2006), pp. 1162-1166, 2006


K-means Clustering versus Validation Measures: A Data Distribution Perspective

Hui Xiong, Junjie Wu, Jian Chen
in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006), pp. 779-784, 2006


Exploiting Page-Level Upper Bound for Multi-Type Nearest Neighbor Queries

Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zhang
in Proceedings of the Int'l Symposium on Advances in Geographic Information Systems (ACM GIS 2006), pp. 179 - 186, 2006


Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery

Aabhas Paliwal, Nabil Adam, Hui Xiong, Christof Bornhovd
in Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2006 ), pp. 649-652, 2006


Adapting Association Patterns for Text Categorization: Weakness and enhancements

Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen
in Proceedings of the ACM Conference on information and Knowledge Management (CIKM-2006), pp. 782 - 783, 2006


Scan Detection: A Data Mining Approach

Gyorgy Simon, Hui Xiong, Eric Eilertson, and Vipin Kumar
in Proceedings of the SIAM Int'l Conf. on Data Mining (SDM-2006), pp. 118 - 129, 2006


Privacy Leakage in Multi-relational Databases via Pattern based Semi-supervised Learning

Hui Xiong, Michael Steinbach, and Vipin Kumar
in Proceedings of the ACM International Conf. on information and Knowledge Management (CIKM-2005), pp. 355-356, 2005


Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery

Hui Xiong, Xiaofeng He, Chris Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook
in Proceedings of the Pacific Symposium on Biocomputing (PSB-2005), 2005


Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs

Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar
in Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), pp. 334 - 343, Seattle, USA, 2004


IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition

Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
in Proceedings of the ACM SIGKDD International Conf. on Knowledge Discovery and Data Mining (KDD-2004), pp. 364 - 373, 2004


Generalizing the Notion of Support

Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
in Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), pp. 689 - 694, Seattle, USA, 2004


HICAP: Hierarchical Clustering with Pattern Preservation

Hui Xiong, Michael Steinbach, Pang-Ning Tan, and Vipin Kumar
in Proceedings of the 2004 SIAM International Conference on Data Mining (SDM-2004), pp. 279 - 290, Florida, USA, 2004


A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects

Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, Xiaobin Ma, Jin-Soung Yoo
in Proceedings of the 2004 SIAM International Conference on Data Mining (SDM-2004), pp. 78 - 89, Florida, USA, 2004


Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution

Hui Xiong, Pang-Ning Tan, and Vipin Kumar
In Proceedings of the Third IEEE International Conference on Data Mining (ICDM-2003), pp. 387-394, Florida, USA, 2003