SAR Image Change Detection Using PCANet Guided by Saliency Detection. - Mengke Li 001; Ming Li 004; Peng Zhang 003; Yan Wu 003; Wanying Song; Lin An (IEEE Geosci. Remote. Sens. Lett., 2019)

Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery. - Meng Pang; Yiu-ming Cheung; Qiquan Shi; Mengke Li 001 (ICME, 2020)

Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion. - Yiu-Ming Cheung; Mengke Li 001; Rong Zou (ICMR, 2021)

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person. - Meng Pang; Yiu-Ming Cheung; Qiquan Shi; Mengke Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. - Mengke Li 001; Yiu-Ming Cheung; Yang Lu 009 (CVPR, 2022)

Feature-Balanced Loss for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-Ming Cheung; Juyong Jiang (ICME, 2022)

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. - Yan Jin; Mengke Li 001; Yang Lu 009; Yiu-ming Cheung; Hanzi Wang (CVPR, 2023)

Few-Shot Lip-Password Based Speaker Verification. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan (ICIP, 2023)

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. - Xiaolin Huang; Mengke Li 001; Yang Lu 009; Hanzi Wang (PRCV (9), 2023)

Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition. - Mengke Li 001; Zhikai Hu; Yang Lu 009; Weichao Lan; Yiu-ming Cheung; Hui Huang 004 (CoRR, 2023)

Key Point Sensitive Loss for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-Ming Cheung; Zhikai Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Identity-Preserved Complete Face Recovering Network for Partial Face Image. - Mengke Li 001; Yiu-ming Cheung (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. - Mengke Li 001; Zhikai Hu; Yang Lu 009; Weichao Lan; Yiu-ming Cheung; Hui Huang 004 (AAAI, 2024)

Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. - Mengke Li 001; Da Li; Guoqing Yang; Yiu-ming Cheung; Hui Huang 004 (ECAI, 2024)

Learning Order Forest for Qualitative-Attribute Data Clustering. - Mingjie Zhao 003; Sen Feng; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009; Yiu-Ming Cheung (ECAI, 2024)

Key Points Centered Sparse Hashing for Cross-Modal Retrieval. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan; Donglin Zhang 001 (ICASSP, 2024)

Long-Tailed Recognition Based on Self-attention Mechanism. - Zekai Feng; Hong Jia; Mengke Li 001 (ICIC (LNAI 2), 2024)

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. - Chenxing Hong; Yan Jin; Zhiqi Kang; Yizhou Chen; Mengke Li 001; Yang Lu 009; Hanzi Wang (IJCAI, 2024)

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. - Pengkai Wang; Yunfan Zhang; Yiqun Zhang 006; Yang Lu 009; Mengke Li 001; Yiu-ming Cheung (IJCNN, 2024)

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. - Mengke Li 001; Ye Liu; Yang Lu 009; Yiqun Zhang 006; Yiu-Ming Cheung; Hui Huang 004 (NeurIPS, 2024)

Improve Knowledge Distillation via Label Revision and Data Selection. - Weichao Lan; Yiu-ming Cheung; Qing Xu 015; Buhua Liu; Zhikai Hu; Mengke Li 001; Zhenghua Chen (CoRR, 2024)

Transitive Vision-Language Prompt Learning for Domain Generalization. - Liyuan Wang; Yan Jin; Zhen Chen 018; Jinlin Wu; Mengke Li 001; Yang Lu 009; Hanzi Wang (CoRR, 2024)

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning. - Fengling Lv; Xinyi Shang; Yang Zhou 019; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009 (CoRR, 2024)

Attributed Graph Clustering via Generalized Quaternion Representation Learning. - Junyang Chen; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009; Yiu-ming Cheung (CoRR, 2024)

Compact Neural Network via Stacking Hybrid Units. - Weichao Lan; Yiu-Ming Cheung; Juyong Jiang; Zhikai Hu; Mengke Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan; Donglin Zhang 001; Qiang Liu 018 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-ming Cheung; Yang Lu 009; Zhikai Hu; Weichao Lan; Hui Huang 004 (IEEE Trans. Artif. Intell., 2024)

Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Asynchronous Federated Clustering with Unknown Number of Clusters. - Yunfan Zhang; Yiqun Zhang 006; Yang Lu 009; Mengke Li 001; Xi Chen; Yiu-ming Cheung (AAAI, 2025)

Weighted Density for The Win: Accurate Subspace Density Clustering. - Maixuan Peng; Yuyang Wu; Yang Lu 009; Mengke Li 001; Yiqun Zhang 006; Yiu-Ming Cheung (ICASSP, 2025)

Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning. - Chikai Shang; Mengke Li 001; Yiqun Zhang 006; Zhen Chen 018; Jinlin Wu; Fangqing Gu; Yang Lu 009; Yiu-ming Cheung (CoRR, 2025)

Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning. - Chen Shu; Mengke Li 001; Yiqun Zhang 006; Yang Lu 009; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2025)

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data. - Hezhao Liu; Yang Lu 009; Mengke Li 001; Yiqun Zhang 006; Shreyank N. Gowda; Chen Gong 002; Hanzi Wang (CoRR, 2025)

Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion. - Mengke Li 001; Zhikai Hu; Yang Lu 009; Weichao Lan; Yiu-ming Cheung; Hui Huang 004 (CoRR, 2025)

Discrete Elective Hashing with Incomplete Labels for Efficient Cross-Modal Retrieval. - Donglin Zhang 001; Chang-Xing Li; Mengke Li 001; Zhikai Hu (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis. - Mengke Li 001; Lihao Chen; Peng Zhang; Yiu-ming Cheung; Hui Huang 004 (CoRR, 2025)

MOOD: Leveraging Out-of-Distribution Data to Enhance Imbalanced Semi-Supervised Learning. - Yang Lu 009; Xiaolin Huang; Yizhou Chen; Mengke Li 001; Yan Yan 001; Chen Gong 002; Hanzi Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)