A Robust Appearance Model for Object Tracking. - Yi Li 042; Xiaohuan Lu; Zhenyu He 001; Hongpeng Wang; Wensheng Chen (CCBD, 2016)

A New Template Update Scheme for Visual Tracking. - Xiaohuan Lu; Shuangyan Yi; Zhenyu He 001; Hongpeng Wang; Wensheng Chen (CCBD, 2016)

Distracter-aware correlation filter tracking. - Xiaohuan Lu; Zhenyu He 001 (SPAC, 2017)

Sparse selective kernelized correlation filter model for visual object tracking. - Xiaohuan Lu; Di Yuan 002; Zhenyu He 001; Donghao Li (SPAC, 2017)

Multiple feature fused for visual tracking via correlation filters. - Di Yuan 002; Xiaohuan Lu; Donghao Li; Zhenyu He 001; Nan Luo (SPAC, 2017)

Deep convolutional neural networks for thermal infrared object tracking. - Qiao Liu 001; Xiaohuan Lu; Zhenyu He 001; Chunkai Zhang; Wen-Sheng Chen (Knowl. Based Syst., 2017)

Real-time Investigation of Transmission Latency of Standard 4K and Virtual-Reality Videos over a Commercial PON Testbed. - Jun Shan Wey; Junwen Zhang; Xiaohuan Lu; Zhuang Ma; Biduo Chen (OFC, 2018)

Discriminative collaborative representation-based tracking. - Xiaohuan Lu; Yingyi Liang; Zhenyu He 001 (J. Electronic Imaging, 2018)

Joint of locality- and globality-preserving projections. - Xiaohuan Lu; Zhenyu He 001; Shuangyan Yi; Wen-Sheng Chen (Signal Image Video Process., 2018)

Low-Rank Projection Learning via Graph Embedding. - Yingyi Liang; Lei You; Xiaohuan Lu; Zhenyu He 001; Hongpeng Wang (Neurocomputing, 2019)

Distracter-aware tracking via correlation filter. - Xiaohuan Lu; Jing Li 071; Zhenyu He 001; Wei Wang 011; Hongzhi Wang 001 (Neurocomputing, 2019)

Particle filter re-detection for visual tracking via correlation filters. - Di Yuan 002; Xiaohuan Lu; Donghao Li; Yingyi Liang; Xinming Zhang (Multim. Tools Appl., 2019)

Multiple object tracking by reliable tracklets. - Yingyi Liang; Xiaohuan Lu; Zhenyu He 001; Yuan Zheng 002 (Signal Image Video Process., 2019)

Visual object tracking via collaborative correlation filters. - Xiaohuan Lu; Jing Li 071; Zhenyu He 001; Wei Liu 065; Lei You (Signal Image Video Process., 2020)

PltDB: a blood platelets-based gene expression database for disease investigation. - Danyi Zou; Ye Yuan; Luming Xu; Shijun Lei; Xingbo Li; Xiaohuan Lu; Xingyue Wang; Xiaoqiong Li; Lin Wang 070; Zheng Wang 052 (Bioinform., 2022)

Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction. - Xiaohuan Lu; Jiang Long; Jie Wen 001; Lunke Fei; Bob Zhang 001; Yong Xu 001 (Pattern Recognit., 2022)

Deep Double Incomplete Multi-view Multi-label Classification via Graph-Constraint Learning. - Chaoran Li; Shuting Li; Huinian Li; Yinghao Ye; Xiaohuan Lu (ICIC (5), 2024)

Dual-Level Contrastive Learning Framework. - Bingyan Nie; Wulin Xie; Jiang Long; Xiaohuan Lu (ICONIP (7), 2024)

Uncertainty-Aware Pseudo-Labeling and Dual Graph Driven Network for Incomplete Multi-View Multi-Label Classification. - Wulin Xie; Xiaohuan Lu; Yadong Liu; Jiang Long; Bob Zhang 001; Shuping Zhao; Jie Wen 001 (ACM Multimedia, 2024)

Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework. - Bingyan Nie; Wulin Xie; Jiang Long; Xiaohuan Lu (CoRR, 2024)

Cross-Modal Mapping: Eliminating the Modality Gap for Few-Shot Image Classification. - Xi Yang; Pai Peng; Wulin Xie; Xiaohuan Lu; Jie Wen (CoRR, 2024)

Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning. - Jiang Long; Qi Zhang 059; Xiaohuan Lu; Jie Wen 001; Lian Zhao; Wulin Xie (Neural Networks, 2024)

Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification. - Wulin Xie; Lian Zhao; Jiang Long; Xiaohuan Lu; Bingyan Nie (WACV, 2025)

View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification. - Shenrun Ding; Jiarui Chen; Tongwei Gao; Yinghao Ye; Xiaohuan Lu (J. King Saud Univ. Comput. Inf. Sci., 2025)

Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification. - Yishan Jiang; Lian Zhao; Zhixian Jiang; Yinghao Ye; Xiaohuan Lu (J. King Saud Univ. Comput. Inf. Sci., 2025)

Confidence-Enhanced Dual-Space Semantic Alignment for partial multi-view incomplete multi-label classification. - Jiarui Chen; Wulin Xie; Mengqing Wang; Yinghao Ye; Xiaohuan Lu (Knowl. Based Syst., 2025)

Adaptive decoupling-fusion in Siamese network for image classification. - Xi Yang; Pai Peng; Danyang Li; Yinghao Ye; Xiaohuan Lu (Neural Networks, 2025)

Task-augmented cross-view imputation network for partial multi-view incomplete multi-label classification. - Lian Zhao; Jie Wen 001; Xiaohuan Lu; Wai Keung Wong; Jiang Long; Wulin Xie (Neural Networks, 2025)

Global-affinity constraint with distillation-enhanced network for dual incomplete multi-view multi-label classification. - Zhixian Jiang; Chaoran Li; Yishan Jiang; Yinghao Ye; Xiaohuan Lu (Signal Process., 2026)