Yudong Chen

29 papers A* 5A 1Misc 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets.
ICLR
Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang
2025 A* conf
RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers.
ICML
Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang
2025 J jnl
RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers.
CoRR
Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang
2024 J jnl
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning.
IEEE Trans. Cybern.
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung
2024 A conf
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
WACV
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
2023 J jnl
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
CoRR
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
2023 — conf
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling.
AI (1)
Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang
2023 J jnl
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling.
CoRR
Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang
2023 Misc conf
Plug n' Play Channel Shuffle Module for Enhancing Tiny Vision Transformers.
DICTA
Xuwei Xu, Sen Wang, Yudong Chen, Jiajun Liu
2023 J jnl
Plug n' Play: Channel Shuffle Module for Enhancing Tiny Vision Transformers.
CoRR
Xuwei Xu, Sen Wang, Yudong Chen, Jiajun Liu
2023 J jnl
Understanding the Effects of Projectors in Knowledge Distillation.
CoRR
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Brano Kusy, Zi Huang
2022 J jnl
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning.
CoRR
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung
2022 J jnl
Generalized Embedding Regression: A Framework for Supervised Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen
2022 A* conf
Improved Feature Distillation via Projector Ensemble.
NeurIPS
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang
2022 J jnl
Improved Feature Distillation via Projector Ensemble.
CoRR
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang
2022 J jnl
Relaxed Locality Preserving Supervised Discrete Hashing.
IEEE Trans. Big Data
Xiangxi Xu, Zhihui Lai, Yudong Chen
2021 A* conf
Local Graph Convolutional Networks for Cross-Modal Hashing.
ACM Multimedia
Yudong Chen, Sen Wang, Jianglin Lu, Zhi Chen, Zheng Zhang, Zi Huang
2021 J jnl
Locality Preserving Robust Regression for Jointly Sparse Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol.
Ning Liu, Zhihui Lai, Xuechen Li, Yudong Chen, Dongmei Mo, Heng Kong, Linlin Shen
2021 J jnl
Low-rank adaptive graph embedding for unsupervised feature extraction.
Pattern Recognit.
Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu
2020 J jnl
Study on 2D Feature-Based Hash Learning.
IEEE Trans. Multim.
Yujuan Ding, Wai Keung Wong, Zhihui Lai, Yudong Chen
2019 A* conf
Deep Supervised Hashing With Anchor Graph.
ICCV
Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
2019 J jnl
Global-and-local-structure-based neural network for fault detection.
Neural Networks
Haitao Zhao, Zhihui Lai, Yudong Chen
2018 J jnl
Jointly Sparse Hashing for Image Retrieval.
IEEE Trans. Image Process.
Zhihui Lai, Yudong Chen, Jian Wu, Wai Keung Wong, Fumin Shen
2018 J jnl
Low-Rank Linear Embedding for Image Recognition.
IEEE Trans. Multim.
Yudong Chen, Zhihui Lai, Wai Keung Wong, Linlin Shen, Qinghua Hu
2018 J jnl
Nuclear norm based two-dimensional sparse principal component analysis.
Int. J. Wavelets Multiresolution Inf. Process.
Yudong Chen, Zhihui Lai, Jiajun Wen, Can Gao
2018 — conf
Robust Discriminative Principal Component Analysis.
CCBR
Xiangxi Xu, Zhihui Lai, Yudong Chen, Heng Kong
2018 J jnl
Robust jointly sparse embedding for dimensionality reduction.
Neurocomputing
Zhihui Lai, Yudong Chen, Dongmei Mo, Jiajun Wen, Heng Kong
2017 — conf
Joint Sparse Locality Preserving Projections.
SmartCom
Haibiao Liu, Zhihui Lai, Yudong Chen
2016 — conf
Sparse Nuclear Norm Two Dimensional Principal Component Analysis.
CCBR
Yudong Chen, Zhihui Lai, Ye Zhang