Yudong Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Locality Preserving

Principal Component Analysis

Bipartite Graph

Image Recognition

Top Venues

IEEE Trans. Multim.

Publications

Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. IEEE Trans. Cybern. 54 (1) (2024)
Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. CoRR (2023)
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Brano Kusy, Zi Huang
Understanding the Effects of Projectors in Knowledge Distillation. CoRR (2023)
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. CoRR (2023)
Xuwei Xu, Sen Wang, Yudong Chen, Jiajun Liu
Plug n' Play: Channel Shuffle Module for Enhancing Tiny Vision Transformers. CoRR (2023)
Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang
No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. AI (1) (2023)
Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen
Generalized Embedding Regression: A Framework for Supervised Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang
Improved Feature Distillation via Projector Ensemble. CoRR (2022)
Xiangxi Xu, Zhihui Lai, Yudong Chen
Relaxed Locality Preserving Supervised Discrete Hashing. IEEE Trans. Big Data 8 (4) (2022)
Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang
Improved Feature Distillation via Projector Ensemble. NeurIPS (2022)
Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. CoRR (2022)
Yudong Chen, Sen Wang, Jianglin Lu, Zhi Chen, Zheng Zhang, Zi Huang
Local Graph Convolutional Networks for Cross-Modal Hashing. ACM Multimedia (2021)
Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu
Low-rank adaptive graph embedding for unsupervised feature extraction. Pattern Recognit. 113 (2021)
Ning Liu, Zhihui Lai, Xuechen Li, Yudong Chen, Dongmei Mo, Heng Kong, Linlin Shen
Locality Preserving Robust Regression for Jointly Sparse Subspace Learning. IEEE Trans. Circuits Syst. Video Technol. 31 (6) (2021)
Yujuan Ding, Wai Keung Wong, Zhihui Lai, Yudong Chen
Study on 2D Feature-Based Hash Learning. IEEE Trans. Multim. 22 (5) (2020)
Haitao Zhao, Zhihui Lai, Yudong Chen
Global-and-local-structure-based neural network for fault detection. Neural Networks 118 (2019)
Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
Deep Supervised Hashing With Anchor Graph. ICCV (2019)
Yudong Chen, Zhihui Lai, Jiajun Wen, Can Gao
Nuclear norm based two-dimensional sparse principal component analysis. Int. J. Wavelets Multiresolution Inf. Process. 16 (2) (2018)
Yudong Chen, Zhihui Lai, Wai Keung Wong, Linlin Shen, Qinghua Hu
Low-Rank Linear Embedding for Image Recognition. IEEE Trans. Multim. 20 (12) (2018)
Xiangxi Xu, Zhihui Lai, Yudong Chen, Heng Kong
Robust Discriminative Principal Component Analysis. CCBR (2018)
Zhihui Lai, Yudong Chen, Jian Wu, Wai Keung Wong, Fumin Shen
Jointly Sparse Hashing for Image Retrieval. IEEE Trans. Image Process. 27 (12) (2018)
Zhihui Lai, Yudong Chen, Dongmei Mo, Jiajun Wen, Heng Kong
Robust jointly sparse embedding for dimensionality reduction. Neurocomputing 314 (2018)
Haibiao Liu, Zhihui Lai, Yudong Chen
Joint Sparse Locality Preserving Projections. SmartCom (2017)
Yudong Chen, Zhihui Lai, Ye Zhang
Sparse Nuclear Norm Two Dimensional Principal Component Analysis. CCBR (2016)