Sparse representation using contextual information for hyperspectral image classification. - Haoliang Yuan; Yang Lu 009; Lina Yang; Huiwu Luo; Yuan Yan Tang (CYBCONF, 2013)

Spectral-spatial linear discriminant analysis for hyperspectral image classification. - Haoliang Yuan; Yang Lu 009; Lina Yang; Huiwu Luo; Yuan Yan Tang (CYBCONF, 2013)

Graph-based Sparse Representation for Hyperspectral Image Classification. - Yuan Yan Tang; Haoliang Yuan; Yang Lu 009; Patrick Shen-Pei Wang (MLDM Posters, 2013)

A novel method for protein structure retrieval using tableau representation and sparse coding. - Yang Lu 009; Lina Yang; Haoliang Yuan; Yulong Wang 002; Huiwu Luo; Yuan Yan Tang (SMC, 2014)

Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields. - Yulong Wang 002; Yuan Yan Tang; Lina Yang; Haoliang Yuan; Huiwu Luo; Yang Lu 009 (SMC, 2014)

Protein sequence analysis based on fractal-wavelet scheme. - Lina Yang; Yuan Yan Tang; Yang Lu 009; Huiwu Luo; Yulong Wang 002; Haoliang Yuan (SMC, 2014)

Feature extraction based on kernel sparse representation for hyperspectral image classification. - Haoliang Yuan; Huiwu Luo; Lina Yang; Yang Lu 009; Yulong Wang 002; Yuan Yan Tang (SMC, 2014)

Generalization performance of Gaussian kernels SVMC based on Markov sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (Neural Networks, 2014)

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis. - Haoliang Yuan; Yuan Yan Tang; Yang Lu 009; Lina Yang; Huiwu Luo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Hyperspectral Image Classification Based on Regularized Sparse Representation. - Haoliang Yuan; Yuan Yan Tang; Yang Lu 009; Lina Yang; Huiwu Luo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. - Bin Zou 002; Yuan Yan Tang; Zongben Xu; Luoqing Li; Jie Xu 006; Yang Lu 009 (IEEE Trans. Cybern., 2014)

Learning performance of DAGSVM algorithm based on Markov sampling. - Jie Xu 006; Yang Lu 009; Bin Zou 002 (ICMLC, 2015)

A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis. - Lina Yang; Yuan Yan Tang; Yang Lu 009; Huiwu Luo (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

The Generalization Ability of SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009; Baochang Zhang 001 (IEEE Trans. Cybern., 2015)

Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform. - Yuan Yan Tang; Yang Lu 009; Haoliang Yuan (IEEE Trans. Geosci. Remote. Sens., 2015)

The Generalization Ability of Online SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Hybrid Sampling with Bagging for Class Imbalance Learning. - Yang Lu 009; Yiu-ming Cheung; Yuan Yan Tang (PAKDD (1), 2016)

Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift. - Yang Lu 009; Yiu-ming Cheung; Yuan Yan Tang (IJCAI, 2017)

k-Times Markov Sampling for SVMC. - Bin Zou 002; Chen Xu 007; Yang Lu 009; Yuan Yan Tang; Jie Xu 006; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2018)

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. - Yang Lu 009; Yiu-ming Cheung; Yuan Yan Tang (CoRR, 2019)

Hyperspectral image classification using wavelet transform-based smooth ordering. - Lina Yang; Hailong Sun 001; Cheng Zhong; Zuqiang Meng; Huiwu Luo; Xichun Li; Yuan Yan Tang; Yang Lu 009 (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Global and local feature alignment for video object detection. - Haihui Ye; Qiang Qi; Ying Wang; Yang Lu 009; Hanzi Wang (MMAsia, 2020)

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift. - Yang Lu 009; Yiu-Ming Cheung; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem. - Yang Lu 009; Yiu-Ming Cheung; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification. - Yukang Zhang; Yan Yan 001; Yang Lu 009; Hanzi Wang (ACM Multimedia, 2021)

Small-Vote Sample Selection for Label-Noise Learning. - Youze Xu; Yan Yan 001; Jing-Hao Xue; Yang Lu 009; Hanzi Wang (ECML/PKDD (3), 2021)

Recurrent Context Aggregation Network for Single Image Dehazing. - Chen Wang; Runqing Chen; Yang Lu 009; Yan Yan 001; Hanzi Wang (IEEE Signal Process. Lett., 2021)

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering. - Yang Lu 009; Yiu-Ming Cheung; Yuan Yan Tang (IEEE Trans. Cybern., 2021)

Embedding Adaptation Network with Transformer for Few-Shot Action Recognition. - Rongrong Jin; Xiao Wang 001; Guangge Wang; Yang Lu 009; Hai-Miao Hu; Hanzi Wang (ACML, 2022)

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

Multi-Focus Guided Semantic Aggregation for Video Object Detection. - Haihui Ye; Guangge Wang; Yang Lu 009; Yan Yan 001; Hanzi Wang (ICASSP, 2022)

Bounding Box Distribution Learning and Center Point Calibration for Robust Visual Tracking. - Chihui Zhuang; Yanjie Liang; Yan Yan 001; Yang Lu 009; Hanzi Wang (ICASSP, 2022)

Egnet: A Novel Edge Guided Network for Instance Segmentation. - Kaiwen Du; Xiao Wang 001; Yan Yan 009; Yang Lu 009; Hanzi Wang (ICIP, 2022)

Guided Sampling Based Feature Aggregation for Video Object Detection. - Jun Liang; Haosheng Chen 001; Yan Yan 001; Yang Lu 009; Hanzi Wang (ICIP, 2022)

SCINet: Semantic Cue Infusion Network for Lane Detection. - Hao Yang; Shuyuan Lin; Lin Cheng; Yang Lu 009; Hanzi Wang (ICIP, 2022)

Dual Selection Network for Video Object Detection. - Tianxiang Hou; Qiang Qi; Yang Lu 009; Kaiwen Du; Hanzi Wang (ICME, 2022)

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. - Xinyi Shang; Yang Lu 009; Yiu-Ming Cheung; Hanzi Wang (ICME, 2022)

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. - Xinyi Shang; Yang Lu 009; Gang Huang 004; Hanzi Wang (IJCAI, 2022)

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection. - Yiliang Zhang; Yang Lu 009; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2022)

TRL: Transformer based refinement learning for hybrid-supervised semantic segmentation. - Lin Cheng; Pengfei Fang; Yan Yan 001; Yang Lu 009; Hanzi Wang (Pattern Recognit. Lett., 2022)

Triplet Relationship Guided Sampling Consensus for Robust Model Estimation. - Hanlin Guo; Yang Lu 009; Guobao Xiao; Shuyuan Lin; Hanzi Wang (IEEE Signal Process. Lett., 2022)

Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers. - Hanlin Guo; Yang Lu 009; Haosheng Chen 001; Hailing Luo; Guobao Xiao; Haifang Zhang; Hanzi Wang (IEEE Trans. Ind. Electron., 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)

Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking. - Yu-Lei Li; Yang Lu 009; Jie Li 001; Hanzi Wang (ICASSP, 2023)

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation. - Yang Lu 009; Pinxin Qian; Gang Huang 004; Hanzi Wang (ICASSP, 2023)

DQFORMER: Dynamic Query Transformer for Lane Detection. - Hao Yang; Shuyuan Lin; Runqing Jiang; Yang Lu 009; Hanzi Wang (ICASSP, 2023)

Label-Noise Learning with Intrinsically Long-Tailed Data. - Yang Lu 009; Yiliang Zhang; Bo Han 003; Yiu-Ming Cheung; Hanzi Wang (ICCV, 2023)

Semantic Learning Network for Controllable Video Captioning. - Kaixuan Chen 006; Qianji Di; Yang Lu 009; Hanzi Wang (ICIP, 2023)

Long-Tailed Federated Learning Via Aggregated Meta Mapping. - Pinxin Qian; Yang Lu 009; Hanzi Wang (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)

An Effective Visible-Infrared Person Re-identification Network Based on Second-Order Attention and Mixed Intermediate Modality. - Haiyun Tao; Yukang Zhang; Yang Lu 009; Hanzi Wang (PRCV (9), 2023)

Cascaded-Scoring Tracklet Matching for Multi-object Tracking. - Yixian Xie; Hanzi Wang; Yang Lu 009 (PRCV (10), 2023)

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning. - Mingjie Zhao 003; Yiqun Zhang 006; Yuzhu Ji; Yang Lu 009 (PRCV (3), 2023)

Federated Semi-Supervised Learning with Annotation Heterogeneity. - Xinyi Shang; Gang Huang 004; Yang Lu 009; Jian Lou 001; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 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)

FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning. - Lingzhi Gao; Zexi Li 001; Yang Lu 009; Chao Wu 001 (CoRR, 2023)

CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data. - Jiangming Shi; Shanshan Zheng; Xiangbo Yin; Yang Lu 009; Yuan Xie 006; Yanyun Qu (CoRR, 2023)

DGRNet: A Dual-Level Graph Relation Network for Video Object Detection. - Qiang Qi; Tianxiang Hou; Yang Lu 009; Yan Yan 001; Hanzi Wang (IEEE Trans. Image Process., 2023)

TCNet: A Novel Triple-Cooperative Network for Video Object Detection. - Qiang Qi; Tianxiang Hou; Yan Yan 001; Yang Lu 009; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples. - Yan Yan 001; Youze Xu; Jing-Hao Xue; Yang Lu 009; Hanzi Wang; Wentao Zhu 002 (IEEE Trans. Cybern., 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)

Federated Learning with Extremely Noisy Clients via Negative Distillation. - Yang Lu 009; Lin Chen; Yonggang Zhang 003; Yiliang Zhang; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (AAAI, 2024)

CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data. - Jiangming Shi; Shanshan Zheng; Xiangbo Yin; Yang Lu 009; Yuan Xie 006; Yanyun Qu (AAAI, 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)

Semantic-Guided Network with Contrastive Learning for Video Caption. - Kaixuan Chen 006; Qianji Di; Yang Lu 009; Hanzi Wang (ICASSP, 2024)

Visual-Linguistic Representation Learning with Deep Cross-Modality Fusion for Referring Multi-Object Tracking. - Wenyan He; Yajun Jian; Yang Lu 009; Hanzi Wang (ICASSP, 2024)

Spatio-Temporal Correlation Learning for Multiple Object Tracking. - Yajun Jian; Chihui Zhuang; Wenyan He; Kaiwen Du; Yang Lu 009; Hanzi Wang (ICASSP, 2024)

Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection. - Zhenyu Qiu; Qiang Qi; Yang Lu 009; Yan Yan 001; Hanzi Wang (ICASSP, 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)

Diverse Consensuses Paired with Motion Estimation-Based Multi-Model Fitting. - Wenyu Yin; Shuyuan Lin; Yang Lu 009; Hanzi Wang (ACM Multimedia, 2024)

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification. - Xiangbo Yin; Jiangming Shi; Yachao Zhang 001; Yang Lu 009; Zhizhong Zhang 001; Yuan Xie 006; Yanyun Qu (ACM Multimedia, 2024)

Semi-supervised Visible-Infrared Person Re-identification via Modality Unification and Confidence Guidance. - Xiying Zheng; Yukang Zhang; Yang Lu 009; Hanzi Wang (ACM Multimedia, 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)

Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation. - Jiahao Li 003; Yang Lu 009; Yuan Xie 006; Yanyun Qu (NeurIPS, 2024)

Wavelet-domain feature decoupling for weakly supervised multi-object tracking. - Yu-Lei Li; Yan Yan 001; Yang Lu 009; Hanzi Wang (Sci. China Inf. Sci., 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; 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)

Personalized Federated Learning on long-tailed data via knowledge distillation and generated features. - Fengling Lv; Pinxin Qian; Yang Lu 009; Hanzi Wang (Pattern Recognit. Lett., 2024)

Label-noise learning via uncertainty-aware neighborhood sample selection. - Yiliang Zhang; Yang Lu 009; Hanzi Wang (Pattern Recognit. Lett., 2024)

PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition. - Xinwen Fan; Yukang Zhang; Yang Lu 009; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Federated learning on non-IID and globally long-tailed data via meta re-weighting networks. - Yang Lu 009; Pinxin Qian; Shanshan Yan; Gang Huang 004; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Few-Shot Action Recognition via Multi-View Representation Learning. - Xiao Wang; Yang Lu 009; Wanchuan Yu; Yanwei Pang; Hanzi Wang (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)

MaskViM: Domain Generalized Semantic Segmentation with State Space Models. - Jiahao Li 003; Yang Lu 009; Yuan Xie 006; Yanyun Qu (AAAI, 2025)

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)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. - Yijie Liu; Xinyi Shang; Yiqun Zhang 006; Yang Lu 009; Chen Gong; Jing-Hao Xue; Hanzi Wang (CVPR, 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)

Learning unified distance metric for heterogeneous attribute data clustering. - Yiqun Zhang 006; Mingjie Zhao 003; Yizhou Chen; Yang Lu 009; Yiu-ming Cheung (Expert Syst. Appl., 2025)

GradToken: Decoupling tokens with class-aware gradient for visual explanation of Transformer network. - Lin Cheng; Yanjie Liang; Yang Lu 009; Yiu-ming Cheung (Neural Networks, 2025)

Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection Under Noisy Annotations. - Ruikang Chen; Yan Yan 001; Jing-Hao Xue; Yang Lu 009; Hanzi Wang (IEEE Trans. Inf. Forensics Secur., 2025)

A Unified Multi-Domain Face Normalization Framework for Cross-Domain Prototype Learning and Heterogeneous Face Recognition. - Meng Pang; Wenjun Zhang; Yang Lu 009; Yiu-ming Cheung; Nanrun Zhou (IEEE Trans. Inf. Forensics Secur., 2025)

Frequency Domain Nuances Mining for Visible-Infrared Person Re-Identification. - Yukang Zhang; Hanzi Wang; Yang Lu 009; Yan Yan 001; Xuelong Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

IMC-Det: Intra-Inter Modality Contrastive Learning for Video Object Detection. - Qiang Qi; Zhenyu Qiu; Yan Yan 001; Yang Lu 009; Hanzi Wang (Int. J. Comput. Vis., 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)

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data. - Shanshan Yan; Zexi Li 001; Chao Wu 001; Meng Pang; Yang Lu 009; Yan Yan; Hanzi Wang (CoRR, 2025)

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model. - Shihao Hou; Xinyi Shang; Shreyank N. Gowda; Yang Lu 009; Chao Wu 001; Yan Yan; Hanzi Wang (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; Hanzi Wang (CoRR, 2025)

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-identification. - Yukang Zhang; Yan Yan 001; Yang Lu 009; Hanzi Wang (Int. J. Comput. Vis., 2025)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training. - Shriram M. S; Xinyue Hao; Shihao Hou; Yang Lu 009; Laura Sevilla-Lara; Anurag Arnab; Shreyank N. Gowda (CoRR, 2025)

Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition. - Hu Ding; Yan Yan 001; Yang Lu 009; Jing-Hao Xue; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 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)