Sparse Nuclear Norm Two Dimensional Principal Component Analysis. - Yudong Chen 002; Zhihui Lai 001; Ye Zhang (CCBR, 2016)

Joint Sparse Locality Preserving Projections. - Haibiao Liu; Zhihui Lai 001; Yudong Chen 002 (SmartCom, 2017)

Robust Discriminative Principal Component Analysis. - Xiangxi Xu; Zhihui Lai 001; Yudong Chen 002; Heng Kong (CCBR, 2018)

Robust jointly sparse embedding for dimensionality reduction. - Zhihui Lai 001; Yudong Chen 002; Dongmei Mo; Jiajun Wen 001; Heng Kong (Neurocomputing, 2018)

Nuclear norm based two-dimensional sparse principal component analysis. - Yudong Chen 002; Zhihui Lai 001; Jiajun Wen 001; Can Gao (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Jointly Sparse Hashing for Image Retrieval. - Zhihui Lai 001; Yudong Chen 002; Jian Wu; Wai Keung Wong; Fumin Shen (IEEE Trans. Image Process., 2018)

Low-Rank Linear Embedding for Image Recognition. - Yudong Chen 002; Zhihui Lai 001; Wai Keung Wong; Linlin Shen; Qinghua Hu (IEEE Trans. Multim., 2018)

Deep Supervised Hashing With Anchor Graph. - Yudong Chen 002; Zhihui Lai 001; Yujuan Ding; Kaiyi Lin; Wai Keung Wong (ICCV, 2019)

Global-and-local-structure-based neural network for fault detection. - Haitao Zhao 002; Zhihui Lai 001; Yudong Chen 002 (Neural Networks, 2019)

Study on 2D Feature-Based Hash Learning. - Yujuan Ding; Wai Keung Wong; Zhihui Lai 001; Yudong Chen 002 (IEEE Trans. Multim., 2020)

Local Graph Convolutional Networks for Cross-Modal Hashing. - Yudong Chen 002; Sen Wang 001; Jianglin Lu; Zhi Chen 010; Zheng Zhang 006; Zi Huang (ACM Multimedia, 2021)

Low-rank adaptive graph embedding for unsupervised feature extraction. - Jianglin Lu; Hailing Wang; Jie Zhou 009; Yudong Chen 002; Zhihui Lai 001; Qinghua Hu (Pattern Recognit., 2021)

Locality Preserving Robust Regression for Jointly Sparse Subspace Learning. - Ning Liu; Zhihui Lai 001; Xuechen Li 001; Yudong Chen 002; Dongmei Mo; Heng Kong; Linlin Shen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Improved Feature Distillation via Projector Ensemble. - Yudong Chen 002; Sen Wang 001; Jiajun Liu; Xuwei Xu; Frank de Hoog; Zi Huang (NeurIPS, 2022)

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. - Jianglin Lu; Jie Zhou 009; Yudong Chen 002; Witold Pedrycz; Zhihui Lai 001; Kwok-Wai Hung (CoRR, 2022)

Relaxed Locality Preserving Supervised Discrete Hashing. - Xiangxi Xu; Zhihui Lai 001; Yudong Chen 002 (IEEE Trans. Big Data, 2022)

Generalized Embedding Regression: A Framework for Supervised Feature Extraction. - Jianglin Lu; Zhihui Lai 001; Hailing Wang; Yudong Chen 002; Jie Zhou 009; Linlin Shen (IEEE Trans. Neural Networks Learn. Syst., 2022)

No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling. - Xuwei Xu; Changlin Li; Yudong Chen 002; Xiaojun Chang; Jiajun Liu; Sen Wang 001 (AI (1), 2023)

Plug n' Play Channel Shuffle Module for Enhancing Tiny Vision Transformers. - Xuwei Xu; Sen Wang 001; Yudong Chen 002; Jiajun Liu (DICTA, 2023)

Understanding the Effects of Projectors in Knowledge Distillation. - Yudong Chen 002; Sen Wang 001; Jiajun Liu; Xuwei Xu; Frank de Hoog; Brano Kusy; Zi Huang (CoRR, 2023)

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. - Xuwei Xu; Sen Wang 001; Yudong Chen 002; Yanping Zheng; Zhewei Wei; Jiajun Liu (WACV, 2024)

Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. - Jianglin Lu; Jie Zhou 009; Yudong Chen 002; Witold Pedrycz; Kwok-Wai Hung (IEEE Trans. Cybern., 2024)

Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets. - Yudong Chen 002; Xuwei Xu; Frank de Hoog; Jiajun Liu; Sen Wang 001 (ICLR, 2025)