Yao, Jiachen

7 publications

TMLR 2025 A Theoretical Study of Neural Network Expressive Power via Manifold Topology Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen

ICLR 2025 Backdooring Vision-Language Models with Out-of-Distribution Data Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

ICLR 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions Lingjie Yi, Jiachen Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen

NeurIPS 2025 Guided Diffusion Sampling on Function Spaces with Applications to PDEs Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

ICML 2023 MultiAdam: Parameter-Wise Scale-Invariant Optimizer for Multiscale Training of Physics-Informed Neural Networks Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu