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Journal Articles
- 2024
[j13]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67(1): 110-120 (2024)- [j12]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): 3523-3538 (2024) - [j11]Jiandong Liu, Lan Zhang, Fengxiang He, Chi Zhang, Shanyang Jiang, Xiang-Yang Li:
Communication-Efficient Regret-Optimal Distributed Online Convex Optimization. IEEE Trans. Parallel Distributed Syst. 35(11): 2270-2283 (2024) - 2023
- [j10]Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao:
Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. 322: 103951 (2023) - [j9]Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu:
Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. 112(12): 5105-5134 (2023) - [j8]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): 6595-6609 (2023) - [j7]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): 5481-5496 (2023) - [j6]Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang:
Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Trans. Multim. 25: 191-202 (2023) - [j5]Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng:
Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Trans. Multim. 25: 6219-6231 (2023) - [j4]Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang:
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Trans. Multim. 25: 7837-7850 (2023) - 2022
- [j3]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): 4351-4363 (2022) - 2021
- [j2]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): 2163-2192 (2021) - 2020
- [j1]Fengxiang He, Tongliang Liu, Dacheng Tao:
Why ResNet Works? Residuals Generalize. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5349-5362 (2020)
Conference and Workshop Papers
- 2024
- [c32]Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao:
Convergence of Bayesian Bilevel Optimization. ICLR 2024 - [c31]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: 1407-1409 - 2023
- [c30]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: 2785-2794 - [c29]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825 - [c28]Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng:
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV 2023: 18859-18869 - [c27]Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao:
Tilted Sparse Additive Models. ICML 2023: 35579-35604 - [c26]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML 2023: 43005-43036 - [c25]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: 4244-4252 - [c24]Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He:
E(2)-Equivariant Vision Transformer. UAI 2023: 2356-2366 - 2022
- [c23]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: 321-329 - [c22]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: 888-896 - [c21]Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang:
Siamese Network with Interactive Transformer for Video Object Segmentation. AAAI 2022: 1228-1236 - [c20]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: 12104-12113 - [c19]Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng:
Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. CVPR 2022: 18092-18101 - [c18]Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao:
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR 2022 - [c17]Shaopeng Fu, Fengxiang He, Dacheng Tao:
Knowledge Removal in Sampling-based Bayesian Inference. ICLR 2022 - [c16]Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao:
Huber Additive Models for Non-stationary Time Series Analysis. ICLR 2022 - [c15]Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao:
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML 2022: 4587-4604 - [c14]Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao:
Topology-aware Generalization of Decentralized SGD. ICML 2022: 27479-27503 - [c13]Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He:
Self-paced Supervision for Multi-source Domain Adaptation. IJCAI 2022: 3551-3557 - [c12]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: 228-241 - [c11]Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang:
When to Update Your Model: Constrained Model-based Reinforcement Learning. NeurIPS 2022 - [c10]Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao:
Benefits of Permutation-Equivariance in Auction Mechanisms. NeurIPS 2022 - [c9]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 - 2021
- [c8]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: 1730-1738 - [c7]Fengxiang He, Bohan Wang, Dacheng Tao:
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. UAI 2021: 802-812 - 2020
- [c6]Fengxiang He, Bohan Wang, Dacheng Tao:
Piecewise linear activations substantially shape the loss surfaces of neural networks. ICLR 2020 - [c5]Zhuozhuo Tu, Fengxiang He, Dacheng Tao:
Understanding Generalization in Recurrent Neural Networks. ICLR 2020 - 2019
- [c4]Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CVPR 2019: 10522-10531 - [c3]Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao:
Progressive Reconstruction of Visual Structure for Image Inpainting. ICCV 2019: 5961-5970 - [c2]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: 8459-8468 - [c1]Fengxiang He, Tongliang Liu, Dacheng Tao:
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence. NeurIPS 2019: 1141-1150
Informal and Other Publications
- 2024
- [i43]Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson:
Inverse learning of black-box aggregator for robust Nash equilibrium. CoRR abs/2403.10980 (2024) - 2023
- [i42]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 abs/2301.08015 (2023) - [i41]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. CoRR abs/2302.11085 (2023) - [i40]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 abs/2303.00501 (2023) - [i39]Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. CoRR abs/2305.13871 (2023) - [i38]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. CoRR abs/2306.02913 (2023) - [i37]Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao:
Human-imperceptible, Machine-recognizable Images. CoRR abs/2306.03679 (2023) - [i36]Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He:
E(2)-Equivariant Vision Transformer. CoRR abs/2306.06722 (2023) - [i35]Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu:
Heterogeneous Multi-Task Gaussian Cox Processes. CoRR abs/2308.15364 (2023) - [i34]Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He:
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR abs/2309.08375 (2023) - [i33]Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He:
XAI for In-hospital Mortality Prediction via Multimodal ICU Data. CoRR abs/2312.17624 (2023) - 2022
- [i32]Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao:
Achieving Personalized Federated Learning with Sparse Local Models. CoRR abs/2201.11380 (2022) - [i31]Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He:
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR abs/2203.11492 (2022) - [i30]Shaopeng Fu, Fengxiang He, Dacheng Tao:
Knowledge Removal in Sampling-based Bayesian Inference. CoRR abs/2203.12964 (2022) - [i29]Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao:
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR abs/2203.14533 (2022) - [i28]Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. CoRR abs/2204.11531 (2022) - [i27]Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao:
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. CoRR abs/2206.00187 (2022) - [i26]Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao:
Understanding deep learning via decision boundary. CoRR abs/2206.01515 (2022) - [i25]Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao:
Topology-aware Generalization of Decentralized SGD. CoRR abs/2206.12680 (2022) - [i24]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR abs/2208.11857 (2022) - [i23]Fengxiang He, Dacheng Tao:
Super-model ecosystem: A domain-adaptation perspective. CoRR abs/2208.14092 (2022) - [i22]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 abs/2209.13873 (2022) - [i21]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 abs/2210.01391 (2022) - [i20]Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao:
Benefits of Permutation-Equivariance in Auction Mechanisms. CoRR abs/2210.05579 (2022) - [i19]Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang:
When to Update Your Model: Constrained Model-based Reinforcement Learning. CoRR abs/2210.08349 (2022) - [i18]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 abs/2211.00824 (2022) - 2021
- [i17]Fengxiang He, Shiye Lei, Jianmin Ji, Dacheng Tao:
Neural networks behave as hash encoders: An empirical study. CoRR abs/2101.05490 (2021) - [i16]Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao:
Bayesian Inference Forgetting. CoRR abs/2101.06417 (2021) - [i15]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 abs/2107.12636 (2021) - [i14]Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao:
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. CoRR abs/2112.02252 (2021) - [i13]Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao:
Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks. CoRR abs/2112.03467 (2021) - [i12]Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao:
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR abs/2112.06281 (2021) - [i11]Yonghao Xu, Fengxiang He, Bo Du, Liangpei Zhang, Dacheng Tao:
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. CoRR abs/2112.07999 (2021) - [i10]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 abs/2112.12916 (2021) - [i9]Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang:
Siamese Network with Interactive Transformer for Video Object Segmentation. CoRR abs/2112.13983 (2021) - 2020
- [i8]Fengxiang He, Bohan Wang, Dacheng Tao:
Piecewise linear activations substantially shape the loss surfaces of neural networks. CoRR abs/2003.12236 (2020) - [i7]Fengxiang He, Bohan Wang, Dacheng Tao:
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. CoRR abs/2007.09371 (2020) - [i6]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 abs/2011.06220 (2020) - [i5]Fengxiang He, Dacheng Tao:
Recent advances in deep learning theory. CoRR abs/2012.10931 (2020) - [i4]Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao:
Robustness, Privacy, and Generalization of Adversarial Training. CoRR abs/2012.13573 (2020) - 2019
- [i3]Fengxiang He, Tongliang Liu, Dacheng Tao:
Why ResNet Works? Residuals Generalize. CoRR abs/1904.01367 (2019) - [i2]Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CoRR abs/1904.02870 (2019) - 2018
- [i1]Fengxiang He, Tongliang Liu, Geoffrey I. Webb, Dacheng Tao:
Instance-Dependent PU Learning by Bayesian Optimal Relabeling. CoRR abs/1808.02180 (2018)
Coauthor Index
[j13] [j10] [j7] [j4] [j3] [j2] [j1] [c32] [c29] [c28] [c27] [c26] [c25] [c20] [c18] [c17] [c16] [c15] [c14] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i32] [i30] [i29] [i27] [i26] [i25] [i24] [i23] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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