Fengxiang He

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 87

Top Topics

Image Synthesis

Natural Language Understanding

Additive Models

Top Venues

Publications

Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Zhengyuan Xu, Xiang-Yang Li
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. IEEE Trans. Mob. Comput. 23 (5) (2024)
Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
AI Driven Online Advertising: Market Design, Generative AI, and Ethics. WWW (Companion Volume) (2024)
Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao
Convergence of Bayesian Bilevel Optimization. ICLR (2024)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67 (1) (2024)
Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson
Inverse learning of black-box aggregator for robust Nash equilibrium. CoRR (2024)
Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
Heterogeneous Multi-Task Gaussian Cox Processes. CoRR (2023)
Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He
XAI for In-hospital Mortality Prediction via Multimodal ICU Data. CoRR (2023)
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
Learning to Generalize Provably in Learning to Optimize. AISTATS (2023)
Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He
E(2)-Equivariant Vision Transformer. UAI (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI (2023)
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. CoRR (2023)
Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Trans. Multim. 25 (2023)
Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. 112 (12) (2023)
Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He
E(2)-Equivariant Vision Transformer. CoRR (2023)
Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang
Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Trans. Multim. 25 (2023)
Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao
Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. 322 (2023)
Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Trans. Multim. 25 (2023)
Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML (2023)
Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao
Human-imperceptible, Machine-recognizable Images. CoRR (2023)
Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. CoRR (2023)
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
Tilted Sparse Additive Models. ICML (2023)
Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. CoRR (2023)
Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
Learning to Generalize Provably in Learning to Optimize. CoRR (2023)
Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. AAAI (2023)
Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR (2023)
Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Fusheng Hao, Fuxiang Wu, Fengxiang He, Qieshi Zhang, Chengqun Song, Jun Cheng
Semantic-Aware Feature Aggregation for Few-Shot Image Classification. Neural Process. Lett. 55 (5) (2023)
Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV (2023)
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR (2022)
Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Xiangyang Li
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. CoRR (2022)
Fusheng Hao, Fengxiang He, Jun Cheng, Dacheng Tao
Global-Local Interplay in Semantic Alignment for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR (2022)
Shaopeng Fu, Fengxiang He, Dacheng Tao
Knowledge Removal in Sampling-based Bayesian Inference. CoRR (2022)
Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang
When to Update Your Model: Constrained Model-based Reinforcement Learning. NeurIPS (2022)
Shaopeng Fu, Fengxiang He, Dacheng Tao
Knowledge Removal in Sampling-based Bayesian Inference. ICLR (2022)
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
Bridged Transformer for Vision and Point Cloud 3D Object Detection. CVPR (2022)
Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao
Topology-aware Generalization of Decentralized SGD. ICML (2022)
Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
Bridged Transformer for Vision and Point Cloud 3D Object Detection. CoRR (2022)
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML (2022)
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR (2022)
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
Benefits of Permutation-Equivariance in Auction Mechanisms. CoRR (2022)
Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao
Topology-aware Generalization of Decentralized SGD. CoRR (2022)
Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. AAAI (2022)
Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao
Achieving Personalized Federated Learning with Sparse Local Models. CoRR (2022)
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. CoRR (2022)
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS (2022)
Fengxiang He, Dacheng Tao
Super-model ecosystem: A domain-adaptation perspective. CoRR (2022)
Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang
When to Update Your Model: Constrained Model-based Reinforcement Learning. CoRR (2022)
Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao
Huber Additive Models for Non-stationary Time Series Analysis. ICLR (2022)
Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR (2022)
Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. AAAI (2022)
Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. CoRR (2022)
Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. CoRR (2022)
Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
Benefits of Permutation-Equivariance in Auction Mechanisms. NeurIPS (2022)
Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang
Siamese Network with Interactive Transformer for Video Object Segmentation. AAAI (2022)
Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Xiangyang Li
InFi: end-to-end learnable input filter for resource-efficient mobile-centric inference. MobiCom (2022)
Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao
Understanding deep learning via decision boundary. CoRR (2022)
Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He
Self-paced Supervision for Multi-source Domain Adaptation. IJCAI (2022)
Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. CVPR (2022)
Fengxiang He, Shiye Lei, Jianmin Ji, Dacheng Tao
Neural networks behave as hash encoders: An empirical study. CoRR (2021)
Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. 33 (8) (2021)
Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. CoRR (2021)
Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. ACM Multimedia (2021)
Fengxiang He, Bohan Wang, Dacheng Tao
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. UAI (2021)
Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao
Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks. CoRR (2021)
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR (2021)
Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang
Siamese Network with Interactive Transformer for Video Object Segmentation. CoRR (2021)
Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao
Bayesian Inference Forgetting. CoRR (2021)
Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. CoRR (2021)
Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. CoRR (2021)
Yonghao Xu, Fengxiang He, Bo Du, Liangpei Zhang, Dacheng Tao
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. CoRR (2021)
Fengxiang He, Bohan Wang, Dacheng Tao
Piecewise linear activations substantially shape the loss surfaces of neural networks. CoRR (2020)
Zhuozhuo Tu, Fengxiang He, Dacheng Tao
Understanding Generalization in Recurrent Neural Networks. ICLR (2020)
Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao
Robustness, Privacy, and Generalization of Adversarial Training. CoRR (2020)
Fengxiang He, Tongliang Liu, Dacheng Tao
Why ResNet Works? Residuals Generalize. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR (2020)
Fengxiang He, Dacheng Tao
Recent advances in deep learning theory. CoRR (2020)
Fengxiang He, Bohan Wang, Dacheng Tao
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. CoRR (2020)
Fengxiang He, Bohan Wang, Dacheng Tao
Piecewise linear activations substantially shape the loss surfaces of neural networks. ICLR (2020)
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CoRR (2019)
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CVPR (2019)
Fengxiang He, Tongliang Liu, Dacheng Tao
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence. NeurIPS (2019)
Fengxiang He, Tongliang Liu, Dacheng Tao
Why ResNet Works? Residuals Generalize. CoRR (2019)
Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang, Jianzhong Cao, Dacheng Tao
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. ICCV (2019)
Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao
Progressive Reconstruction of Visual Structure for Image Inpainting. ICCV (2019)
Fengxiang He, Tongliang Liu, Geoffrey I. Webb, Dacheng Tao
Instance-Dependent PU Learning by Bayesian Optimal Relabeling. CoRR (2018)