Yudong Chen

According to our database, Yudong Chen authored at least 22 papers between 2016 and 2024.

Collaborative distances:

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

2024

Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning.

Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung

IEEE Trans. Cybern., January, 2024

2023

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.

Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu

CoRR, 2023

Understanding the Effects of Projectors in Knowledge Distillation.

Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Brano Kusy, Zi Huang

CoRR, 2023

Plug n' Play: Channel Shuffle Module for Enhancing Tiny Vision Transformers.

Xuwei Xu, Sen Wang, Yudong Chen, Jiajun Liu

CoRR, 2023

No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling.

Xuwei Xu, Changlin Li, Yudong Chen, Xiaojun Chang, Jiajun Liu, Sen Wang

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Generalized Embedding Regression: A Framework for Supervised Feature Extraction.

Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen

IEEE Trans. Neural Networks Learn. Syst., 2022

Relaxed Locality Preserving Supervised Discrete Hashing.

Xiangxi Xu, Zhihui Lai, Yudong Chen

IEEE Trans. Big Data, 2022

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning.

Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung

CoRR, 2022

Improved Feature Distillation via Projector Ensemble.

Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang

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

2021

Locality Preserving Robust Regression for Jointly Sparse Subspace Learning.

Ning Liu, Zhihui Lai, Xuechen Li, Yudong Chen, Dongmei Mo, Heng Kong, Linlin Shen

IEEE Trans. Circuits Syst. Video Technol., 2021

Low-rank adaptive graph embedding for unsupervised feature extraction.

Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu

Pattern Recognit., 2021

Local Graph Convolutional Networks for Cross-Modal Hashing.

Yudong Chen, Sen Wang, Jianglin Lu, Zhi Chen, Zheng Zhang, Zi Huang

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

2020

Study on 2D Feature-Based Hash Learning.

Yujuan Ding, Wai Keung Wong, Zhihui Lai, Yudong Chen

IEEE Trans. Multim., 2020

2019

Global-and-local-structure-based neural network for fault detection.

Haitao Zhao, Zhihui Lai, Yudong Chen

Neural Networks, 2019

Deep Supervised Hashing With Anchor Graph.

Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong

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

2018

Low-Rank Linear Embedding for Image Recognition.

Yudong Chen, Zhihui Lai, Wai Keung Wong, Linlin Shen, Qinghua Hu

IEEE Trans. Multim., 2018

Jointly Sparse Hashing for Image Retrieval.

Zhihui Lai, Yudong Chen, Jian Wu, Wai Keung Wong, Fumin Shen

IEEE Trans. Image Process., 2018

Nuclear norm based two-dimensional sparse principal component analysis.

Yudong Chen, Zhihui Lai, Jiajun Wen, Can Gao

Int. J. Wavelets Multiresolution Inf. Process., 2018

Robust jointly sparse embedding for dimensionality reduction.

Zhihui Lai, Yudong Chen, Dongmei Mo, Jiajun Wen, Heng Kong

Neurocomputing, 2018

Robust Discriminative Principal Component Analysis.

Xiangxi Xu, Zhihui Lai, Yudong Chen, Heng Kong

Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2017

Joint Sparse Locality Preserving Projections.

Haibiao Liu, Zhihui Lai, Yudong Chen

Proceedings of the Smart Computing and Communication, 2017

2016

Sparse Nuclear Norm Two Dimensional Principal Component Analysis.

Yudong Chen, Zhihui Lai, Ye Zhang

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016