Wu, Chenwei

13 publications

ICLR 2025 Adam-Mini: Use Fewer Learning Rates to Gain More Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik P Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun

TMLR 2025 Distributionally Robust Alignment for Medical Federated Vision-Language Pre-Training Under Data Heterogeneity Zitao Shuai, Chenwei Wu, Zhengxu Tang, Liyue Shen

ICLR 2025 Dynamic Modeling of Patients, Modalities and Tasks via Multi-Modal Multi-Task Mixture of Experts Chenwei Wu, Zitao Shuai, Zhengxu Tang, Luning Wang, Liyue Shen

AAAI 2025 Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs David S. Restrepo, Chenwei Wu, Zhengxu Tang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Cong-Tinh Dao, Jack Gallifant, Robyn Gayle Dychiao, Jose Carlo Artiaga, André Hiroshi Bando, Carolina Pelegrini Barbosa Gracitelli, Vincenz Ferrer, Leo Anthony Celi, Danielle S. Bitterman, Michael G. Morley, Luis Filipe Nakayama

ICML 2025 NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu

ICMLW 2024 Adam-Mini: Use Fewer Learning Rates to Gain More Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun

NeurIPS 2023 Connecting Pre-Trained Language Model and Downstream Task via Properties of Representation Chenwei Wu, Holden Lee, Rong Ge

ICML 2023 Hiding Data Helps: On the Benefits of Masking for Sparse Coding Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge

ICML 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge

NeurIPSW 2023 The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models Chenwei Wu, Patrick Haffner, Li Erran Li, Stefano Ermon, Rong Ge

ICLR 2022 Towards Understanding the Data Dependency of Mixup-Style Training Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge

ICML 2021 Guarantees for Tuning the Step Size Using a Learning-to-Learn Approach Xiang Wang, Shuai Yuan, Chenwei Wu, Rong Ge

NeurIPS 2020 Beyond Lazy Training for Over-Parameterized Tensor Decomposition Xiang Wang, Chenwei Wu, Jason Lee, Tengyu Ma, Rong Ge