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Fengxiang He
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Cited by
Year
Control batch size and learning rate to generalize well: Theoretical and empirical evidence
F He, T Liu, D Tao
Advances on Neural Information Processing Systems, 2019
1892019
Why ResNet works? Residuals generalize
F He, T Liu, D Tao
IEEE Transactions on Neural Networks and Learning Systems 31 (12), 5349-5362, 2020
1872020
Progressive Reconstruction of Visual Structure for Image Inpainting
J Li, F He, L Zhang, B Du, D Tao
Proceedings of the IEEE International Conference on Computer Vision, 5962-5971, 2019
1812019
Fast Spatio-Temporal Residual Network for Video Super-Resolution
S Li, F He, B Du, L Zhang, Y Xu, D Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1532019
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning
F Hao, F He, J Cheng, L Wang, J Cao, D Tao
Proceedings of the IEEE International Conference on Computer Vision, 8460-8469, 2019
1432019
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
R Dai, L Shen, F He, X Tian, D Tao
International Conference on Machine Learning, 2022
712022
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
W Wang, Y Cao, J Zhang, F He, ZJ Zha, Y Wen, D Tao
Proceedings of the 29th ACM International Conference on Multimedia, 1730-1738, 2021
712021
Instance-dependent pu learning by bayesian optimal relabeling
F He, T Liu, GI Webb, D Tao
arXiv preprint arXiv:1808.02180, 2018
582018
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
Y He, C Chen, J Zhang, J Liu, F He, C Wang, B Du
AAAI Conference on Artificial Intelligence, 2022
542022
Robust unlearnable examples: Protecting data against adversarial learning
S Fu, F He, Y Liu, L Shen, D Tao
International Conference on Learning Representations, 2022
532022
Artificial neural variability for deep learning: On overfitting, noise memorization, and catastrophic forgetting
Z Xie, F He, S Fu, I Sato, D Tao, M Sugiyama
Neural Computation 33 (8), 2163-2192, 2021
532021
Recent advances in deep learning theory
F He, D Tao
arXiv preprint arXiv:2012.10931, 2020
472020
Shortcut Learning of Large Language Models in Natural Language Understanding
M Du, F He, N Zou, D Tao, X Hu
Communications of the ACM 67 (1), 110-120, 2024
432024
Bridged Transformer for Vision and Point Cloud 3D Object Detection
Y Wang, TQ Ye, L Cao, W Huang, F Sun, F He, D Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022
372022
Understanding Generalization in Recurrent Neural Networks
Z Tu, F He, D Tao
International Conference on Learning Representations, 2020
332020
Piecewise linear activations substantially shape the loss surfaces of neural networks
F He, B Wang, D Tao
International Conference of Learning Representations, 2020
302020
Siamese Network with Interactive Transformer for Video Object Segmentation
M Lan, J Zhang, F He, L Zhang
AAAI Conference on Artificial Intelligence, 2022
292022
Achieving Personalized Federated Learning with Sparse Local Models
T Huang, S Liu, L Shen, F He, W Lin, D Tao
arXiv preprint arXiv:2201.11380, 2022
252022
Topology-aware Generalization of Decentralized SGD
T Zhu, F He, L Zhang, Z Niu, M Song, D Tao
International Conference on Machine Learning, 2022
242022
Global-local interplay in semantic alignment for few-shot learning
F Hao, F He, J Cheng, D Tao
IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4351-4363, 2021
242021
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