Pan, Weishen

6 publications

ICLR 2024 CLAP: Collaborative Adaptation for Patchwork Learning Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang

UAI 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang

NeurIPS 2024 Unified Insights: Harnessing Multi-Modal Data for Phenotype Imputation via View Decoupling Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, Fei Wang

ICML 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

NeurIPSW 2023 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

NeurIPS 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang