| 2024 | Employing bimodal representations to predict DNA bendability within a self-supervised pre-trained framework | Yang, Minghao; Zhang, Shichen; Zheng, Zhihang; Zhang, Pengfei; Liang, Yan; Tang, Shaojun | Nucleic Acids Research | |
| 2024 | Chronic poison-Unraveling microplastic effects on gut microbita across various animals using machine learning | Yin, Lingzi; Yang, Minghao; Teng, Anqi; Ni, Can; Wang, Pandeng; Tang, Shaojun | ACS Nano | Accepted |
| 2024 | An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment | Liang, Yan; Cai, Weishan; Yang, Minghao; Jiang, Yuncheng | Neural Networks | |
| 2024 | HiCMamba: Enhancing Hi-C Resolution and Identifying 3D Genome Structures with State Space Modeling | Yang, Minghao; Huang, Zhi-An; Zheng, Zhihang; Liu, Yuqiao; Zhang, Shichen; Zhang, Pengfei; Xiong, Hui; Tang, Shaojun | iScience | Under Review |
| 2023 | MIX-TPI: a flexible prediction framework for TCR–pMHC interactions based on multimodal representations | Yang, Minghao; Huang, Zhi-An; Zhou, Wei; Ji, Junkai; Zhang, Jun; He, Shan; Zhu, Zexuan | Bioinformatics | |
| 2022 | Prediction of biomarker–disease associations based on graph attention network and text representation | Yang, Minghao; Huang, Zhi-An; Gu, Wenhao; Han, Kun; Pan, Wenying; Yang, Xiao; Zhu, Zexuan | Briefings in Bioinformatics | |
