| 2024 | ICLR | CLAP: Collaborative Adaptation for Patchwork Learning. | Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang |
| 2024 | UAI | Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. | Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang |
| 2023 | ICML | InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. | Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov |
| 2023 | KDD | Mining Electronic Health Records for Real-World Evidence. | Chengxi Zang, Weishen Pan, Fei Wang |
| 2022 | KDD | Collaboration Equilibrium in Federated Learning. | Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang |
| 2021 | KDD | Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. | Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang |
| 2021 | KDD | Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. | Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang |
| 2016 | ICFHR | SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents. | Zhuoyao Zhong, Weishen Pan, Lianwen Jin, Harold Mouchre, Christian Viard-Gaudin |
| 2015 | ICIG | A Style Transformation Method for Printed Chinese Characters. | Huiyun Mao, Weishen Pan |