Xiaohuan Lu

According to our database, Xiaohuan Lu authored at least 38 papers between 2016 and 2026.

Collaborative distances:

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

2026

CSMVL: Cluster Structure Aware Multi-View Representation Learning for Domain Identification in Spatial Transcriptomics.

Xi Yang, Chengyao Sun, Xiaohuan Lu, Yun Long, Yu-Yao Wu, Sen Xu, Jie Wen

IEEE Trans. Knowl. Data Eng., May, 2026

Partial Multiview Incomplete Multilabel Learning via Uncertainty-Driven Reliable Dynamic Fusion.

Jie Wen, Jiang Long, Xiaohuan Lu, Chengliang Liu, Xiaozhao Fang, Yong Xu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

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

Cross-modal mapping: Mitigating the modality gap for few-shot classification.

Xi Yang, Wulin Xie, Pai Peng, Jie Wen, Xiaohuan Lu

Pattern Recognit., 2026

Probabilistic uncertainty-aware representation network for partial multi-view incomplete multi-label classification.

Shiqi Xu, Shenrun Ding, Bo Shao, Xiaohuan Lu

Neurocomputing, 2026

Incomplete multi-view partial multi-label learning via hierarchical semantic synergy.

Shenrun Ding, Tao Lv, Lian Zhao, Yinghao Ye, Xiaohuan Lu

Expert Syst. Appl., 2026

2025

Partial Multi-View Incomplete Multi-Label Learning Network With Quality-Aware Representation Fusion.

Xiaohuan Lu, Jiang Long, Haitao Zhang, Wulin Xie, Lian Zhao, Yinghao Ye, Jie Wen

IEEE Trans. Circuits Syst. Video Technol., 2025

Task-augmented cross-view imputation network for partial multi-view incomplete multi-label classification.

Lian Zhao, Jie Wen, Xiaohuan Lu, Wai Keung Wong, Jiang Long, Wulin Xie

Neural Networks, 2025

Adaptive decoupling-fusion in Siamese network for image classification.

Xi Yang, Pai Peng, Danyang Li, Yinghao Ye, Xiaohuan Lu

Neural Networks, 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

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

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

Adaptive Spatiotemporal Feature Fusion for Visual Object Tracking.

Tao Lv, Pai Peng, Jiang Long, Yinghao Ye, Xiaohuan Lu

IEEE Internet Things J., 2025

Double missing multi-view multi-label classification via an attention-guided multi-space consistency alignment framework.

Bingyan Nie, Wulin Xie, Lian Zhao, Jiang Long, Xiaohuan Lu, Yinghao Ye

Neurocomputing, 2025

Siamese network with squeeze-attention for incomplete multi-view multi-label classification.

Mengqing Wang, Jiarui Chen, Lian Zhao, Yinghao Ye, Xiaohuan Lu

Complex Intell. Syst., 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning.

Jiang Long, Qi Zhang, Xiaohuan Lu, Jie Wen, Lian Zhao, Wulin Xie

Neural Networks, 2024

Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework.

Bingyan Nie, Wulin Xie, Jiang Long, Xiaohuan Lu

CoRR, 2024

Incomplete multi-view partial multi-label classification via deep semantic structure preservation.

Chaoran Li, Xiyin Wu, Pai Peng, Zhuhong Zhang, Xiaohuan Lu

Complex Intell. Syst., 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, Shuping Zhao, Jie Wen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Dual-Level Contrastive Learning Framework.

Bingyan Nie, Wulin Xie, Jiang Long, Xiaohuan Lu

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Deep Double Incomplete Multi-view Multi-label Classification via Graph-Constraint Learning.

Chaoran Li, Shuting Li, Huinian Li, Yinghao Ye, Xiaohuan Lu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2022

Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction.

Xiaohuan Lu, Jiang Long, Jie Wen, Lunke Fei, Bob Zhang, Yong Xu

Pattern Recognit., 2022

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, Zheng Wang

Bioinform., 2022

2020

Visual object tracking via collaborative correlation filters.

Xiaohuan Lu, Jing Li, Zhenyu He, Wei Liu, Lei You

Signal Image Video Process., 2020

2019

Multiple object tracking by reliable tracklets.

Yingyi Liang, Xiaohuan Lu, Zhenyu He, Yuan Zheng

Signal Image Video Process., 2019

Particle filter re-detection for visual tracking via correlation filters.

Di Yuan, Xiaohuan Lu, Donghao Li, Yingyi Liang, Xinming Zhang

Multim. Tools Appl., 2019

Distracter-aware tracking via correlation filter.

Xiaohuan Lu, Jing Li, Zhenyu He, Wei Wang, Hongzhi Wang

Neurocomputing, 2019

Low-Rank Projection Learning via Graph Embedding.

Yingyi Liang, Lei You, Xiaohuan Lu, Zhenyu He, Hongpeng Wang

Neurocomputing, 2019

2018

Joint of locality- and globality-preserving projections.

Xiaohuan Lu, Zhenyu He, Shuangyan Yi, Wen-Sheng Chen

Signal Image Video Process., 2018

Discriminative collaborative representation-based tracking.

Xiaohuan Lu, Yingyi Liang, Zhenyu He

J. Electronic Imaging, 2018

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

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

2017

Deep convolutional neural networks for thermal infrared object tracking.

Qiao Liu, Xiaohuan Lu, Zhenyu He, Chunkai Zhang, Wen-Sheng Chen

Knowl. Based Syst., 2017

Multiple feature fused for visual tracking via correlation filters.

Di Yuan, Xiaohuan Lu, Donghao Li, Zhenyu He, Nan Luo

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Sparse selective kernelized correlation filter model for visual object tracking.

Xiaohuan Lu, Di Yuan, Zhenyu He, Donghao Li

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Distracter-aware correlation filter tracking.

Xiaohuan Lu, Zhenyu He

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016

A New Template Update Scheme for Visual Tracking.

Xiaohuan Lu, Shuangyan Yi, Zhenyu He, Hongpeng Wang, Wensheng Chen

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

A Robust Appearance Model for Object Tracking.

Yi Li, Xiaohuan Lu, Zhenyu He, Hongpeng Wang, Wensheng Chen

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016