| 2025 | IJCAI | Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. | Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo |
| 2025 | MICCAI | Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction. | Xiaoting Zeng, Li Li, Yu Liang, Weilin Chen, Baiying Lei |
| 2025 | WWW | Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. | Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang |
| 2024 | AAAI | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. | Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng |
| 2024 | ICML | Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. | Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao |
| 2024 | ICML | Reducing Balancing Error for Causal Inference via Optimal Transport. | Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao |
| 2023 | CIKM | Generalization Bound for Estimating Causal Effects from Observational Network Data. | Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao |
| 2022 | CBMS | A Drug Repositioning Approach Using Drug and Disease Features. | Jialan Tang, Baiying Lei, Weilin Chen |
| 2022 | ICPR | A Novel Low-light Image Enhancement Algorithm Based On Information Assistance. | Jiacen Guo, Xin Jin, Weilin Chen, Chao Wang |