Fengxiang He

According to our database, Fengxiang He authored at least 62 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference.

Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Zhengyuan Xu, Xiang-Yang Li

IEEE Trans. Mob. Comput., May, 2024

Shortcut Learning of Large Language Models in Natural Language Understanding.

Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu

Commun. ACM, January, 2024

Inverse learning of black-box aggregator for robust Nash equilibrium.

Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson

CoRR, 2024

2023

Heterogeneous multi-task Gaussian Cox processes.

Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu

Mach. Learn., December, 2023

Semantic-Aware Feature Aggregation for Few-Shot Image Classification.

Fusheng Hao, Fuxiang Wu, Fengxiang He, Qieshi Zhang, Chengqun Song, Jun Cheng

Neural Process. Lett., October, 2023

Spectral complexity-scaled generalisation bound of complex-valued neural networks.

Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao

Artif. Intell., September, 2023

Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction.

Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Self-Ensembling GAN for Cross-Domain Semantic Segmentation.

Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang

IEEE Trans. Multim., 2023

Language-Based Image Manipulation Built on Language-Guided Ranking.

Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng

IEEE Trans. Multim., 2023

Mixer-Based Semantic Spread for Few-Shot Learning.

Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang

IEEE Trans. Multim., 2023

XAI for In-hospital Mortality Prediction via Multimodal ICU Data.

Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He

CoRR, 2023

Boosting Fair Classifier Generalization through Adaptive Priority Reweighing.

Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He

CoRR, 2023

Human-imperceptible, Machine-recognizable Images.

Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao

CoRR, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.

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

CoRR, 2023

Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms.

Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao

CoRR, 2023

E(2)-Equivariant Vision Transformer.

Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Improving Heterogeneous Model Reuse by Density Estimation.

Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent.

Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

Tilted Sparse Additive Models.

Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification.

Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Generalize Provably in Learning to Optimize.

Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Reject Decoding via Language-Vision Models for Text-to-Image Synthesis.

Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Global-Local Interplay in Semantic Alignment for Few-Shot Learning.

Fusheng Hao, Fengxiang He, Jun Cheng, Dacheng Tao

IEEE Trans. Circuits Syst. Video Technol., 2022

InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference.

Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Xiangyang Li

CoRR, 2022

Super-model ecosystem: A domain-adaptation perspective.

Fengxiang He, Dacheng Tao

CoRR, 2022

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.

Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu

CoRR, 2022

Understanding deep learning via decision boundary.

Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao

CoRR, 2022

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning.

Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

CoRR, 2022

Exploring High-Order Structure for Robust Graph Structure Learning.

Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He

CoRR, 2022

Achieving Personalized Federated Learning with Sparse Local Models.

Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benefits of Permutation-Equivariance in Auction Mechanisms.

Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When to Update Your Model: Constrained Model-based Reinforcement Learning.

Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

InFi: end-to-end learnable input filter for resource-efficient mobile-centric inference.

Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Xiangyang Li

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Self-paced Supervision for Multi-source Domain Adaptation.

Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Topology-aware Generalization of Decentralized SGD.

Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2022

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training.

Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2022

Huber Additive Models for Non-stationary Time Series Analysis.

Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Knowledge Removal in Sampling-based Bayesian Inference.

Shaopeng Fu, Fengxiang He, Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning.

Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer.

Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Siamese Network with Interactive Transformer for Video Object Segmentation.

Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization.

Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.

Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama

Neural Comput., 2021

Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer.

Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao

CoRR, 2021

Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks.

Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao

CoRR, 2021

Bayesian Inference Forgetting.

Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao

CoRR, 2021

Neural networks behave as hash encoders: An empirical study.

Fengxiang He, Shiye Lei, Jianmin Ji, Dacheng Tao

CoRR, 2021

Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms.

Fengxiang He, Bohan Wang, Dacheng Tao

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers.

Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Why ResNet Works? Residuals Generalize.

Fengxiang He, Tongliang Liu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

Robustness, Privacy, and Generalization of Adversarial Training.

Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao

CoRR, 2020

Recent advances in deep learning theory.

Fengxiang He, Dacheng Tao

CoRR, 2020

Understanding Generalization in Recurrent Neural Networks.

Zhuozhuo Tu, Fengxiang He, Dacheng Tao

Proceedings of the 8th International Conference on Learning Representations, 2020

Piecewise linear activations substantially shape the loss surfaces of neural networks.

Fengxiang He, Bohan Wang, Dacheng Tao

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence.

Fengxiang He, Tongliang Liu, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Progressive Reconstruction of Visual Structure for Image Inpainting.

Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning.

Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang, Jianzhong Cao, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast Spatio-Temporal Residual Network for Video Super-Resolution.

Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Instance-Dependent PU Learning by Bayesian Optimal Relabeling.

Fengxiang He, Tongliang Liu, Geoffrey I. Webb, Dacheng Tao

CoRR, 2018