Li, Ye

16 publications

IJCAI 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations Xianliang Xu, Ye Li, Zhongyi Huang

AAAI 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang

CVPR 2025 Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li, Yanchao Zhao, Chengcheng Zhu, Jiale Zhang

ICCV 2025 OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding Tianrun Xu, Guanyu Chen, Ye Li, Yuxin Xi, Zeyu Mu, Ruichen Wang, Tianren Zhang, Haichuan Gao, Feng Chen

ICML 2025 Refined Generalization Analysis of the Deep Ritz Method and Physics-Informed Neural Networks Xianliang Xu, Ye Li, Zhongyi Huang

ICLR 2025 Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang

ICLR 2025 UniDrive: Towards Universal Driving Perception Across Camera Configurations Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer

IJCAI 2024 Causality-Enhanced Discreted Physics-Informed Neural Networks for Predicting Evolutionary Equations Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang

AAAI 2024 Component Fourier Neural Operator for Singularly Perturbed Differential Equations Ye Li, Ting Du, Yiwen Pang, Zhongyi Huang

NeurIPS 2024 Is Your LiDAR Placement Optimized for 3D Scene Understanding? Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang

CVPR 2023 DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer Ping Chen, Xingpeng Zhang, Ye Li, Ju Tao, Bin Xiao, Bing Wang, Zongjie Jiang

AAAI 2023 Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks Ye Li, Songcan Chen, Sheng-Jun Huang

NeurIPSW 2022 Contextual Transformer for Offline Meta Reinforcement Learning Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang

NeurIPS 2022 Redundancy-Free Message Passing for Graph Neural Networks Rongqin Chen, Shenghui Zhang, Leong Hou U, Ye Li

ICLR 2021 Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk

AAAI 2018 Community Detection in Attributed Graphs: An Embedding Approach Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang