He, Fengxiang

32 publications

ICLR 2025 DICE: Data Influence Cascade in Decentralized Learning Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He

IJCAI 2025 Human-Imperceptible, Machine-Recognizable Images Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng

TMLR 2025 Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations Xuelian Jiang, Tongtian Zhu, Yingxiang Xu, Can Wang, Yeyu Zhang, Fengxiang He

CVPR 2025 Task-Aware Clustering for Prompting Vision-Language Models Fusheng Hao, Fengxiang He, Fuxiang Wu, Tichao Wang, Chengqun Song, Jun Cheng

UAI 2024 Adaptive Time-Stepping Schedules for Diffusion Models Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao

ICLR 2024 Convergence of Bayesian Bilevel Optimization Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao

UAI 2023 $e(2)$-Equivariant Vision Transformer Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He

ICCV 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng

ICML 2023 Decentralized SGD and Average-Direction SAM Are Asymptotically Equivalent Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

MLJ 2023 Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu

IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

AISTATS 2023 Learning to Generalize Provably in Learning to Optimize Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

AAAI 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng

ICML 2023 Tilted Sparse Additive Models Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

NeurIPS 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

NeurIPS 2022 Benefits of Permutation-Equivariance in Auction Mechanisms Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

CVPR 2022 Bridged Transformer for Vision and Point Cloud 3D Object Detection Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao

ICML 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao

ICLR 2022 Huber Additive Models for Non-Stationary Time Series Analysis Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao

ICLR 2022 Knowledge Removal in Sampling-Based Bayesian Inference Shaopeng Fu, Fengxiang He, Dacheng Tao

ICLR 2022 Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

IJCAI 2022 Self-Paced Supervision for Multi-Source Domain Adaptation Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He

AAAI 2022 Siamese Network with Interactive Transformer for Video Object Segmentation Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang

CVPR 2022 Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng

ICML 2022 Topology-Aware Generalization of Decentralized SGD Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao

AAAI 2022 VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao

AAAI 2022 Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du

NeurIPS 2022 When to Update Your Model: Constrained Model-Based Reinforcement Learning Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang

UAI 2021 Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms Fengxiang He, Bohan Wang, Dacheng Tao

ICLR 2020 Piecewise Linear Activations Substantially Shape the Loss Surfaces of Neural Networks Fengxiang He, Bohan Wang, Dacheng Tao

ICLR 2020 Understanding Generalization in Recurrent Neural Networks Zhuozhuo Tu, Fengxiang He, Dacheng Tao

NeurIPS 2019 Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence Fengxiang He, Tongliang Liu, Dacheng Tao