吴小俊

期刊论文

1. Weitong Sun, Yuping Su, Yumei Zhang, Xiaojun Wu (2026). EEG emotion recognition through a domain-adversarial multi-feature fusion network. Expert Systems With Applications, Vol. 298.DOI
2. Hanghang Zhou, Yumei Zhang, Xiangying Guo, Ningjing Cheng, Honghong Yang, Zexing Du, Xiaojun Wu (2026). Modal dynamics features enhancement multi-scale spatial-temporal networks for 3D human motion prediction from 2D skeletons. Expert Systems With Applications, Vol. 302.DOI
3. 赵少川，刘峥玮，徐天阳，邵志文，周勇，吴小俊（2026）. 基于几何先验引导的可见光-事件目标跟踪方法. 《电子学报》.
4. 童彪，宋晓宁，华阳，张文杰，吴小俊（2026）. 基于边缘增强的宽解码器显著性目标检测方法. 《软件学报》.
5. 谢友晨，徐天阳，汤张泳，吴小俊（2026）. 红外遥感弱小船舶目标检测算法. 《北京航空航天大学学报》.DOI
6. Chao Li, Hao Chen, Jun Jie Sun, Wei Fang, Vasile Palade, Xiao‐Jun Wu (2026). M2PP: Effective Path Planning Based on Multi-Phase Particle Swarm Optimization and Multi-Scenario Adaptative DWA. IEEE Transactions on Automation Science and Engineering.DOI
7. Donglin Zhang, Zheng Rao, Xing Xu, Xiao‐Jun Wu, Josef Kittler (2026). Probabilistic Embeddings With Evidence Learning and Refinement for Text–Video Retrieval. IEEE Transactions on Image Processing.DOI
8. Donglin Zhang, Zhiwen Wang, Xiao‐Jun Wu (2026). Visual Semantic Decomposition and Textual Concept Enhancement for Text-Video Retrieval. IEEE Transactions on Multimedia.DOI
9. Cong Wu, Tianyang Xu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2026). Toward Stronger 3D Human Action Representation Learning Via Efficient Spatiotemporal Decoupling. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
10. Shiyu Zhang, Tianyang Xu, Zhangyong Tang, Xiao‐Jun Wu, Josef Kittler (2026). Focusing on What Matters: Importance Weighted Attention for RGB-T Tracking. IEEE Transactions on Circuits and Systems for Video Technology.DOI
11. Zheng Rao, Donglin Zhang, Xiao‐Jun Wu, Josef Kittler (2026). Representation Reconstruction with Self-Paced Learning for Text-Video Retrieval. IEEE Transactions on Multimedia.DOI
12. Yuan Yao, Linlong Chen, Xianchen Wang, Xiaojun Wu (2025). Traffic flow forecasting based on augmented multi-component recurrent graph attention network. Transportation Letters-The International Journal Of Transportation Research, Vol. 170, No. 8.DOI
13. Rui Yang, Kaoru Ota, Mianxiong Dong, Xiaojun Wu (2025). Semantic layout-guided diffusion model for high-fidelity image synthesis in 'The Thousand Li of Rivers and Mountains'. Expert Systems With Applications, Vol. 263.DOI
14. 丁志坚，张文杰，徐天阳，宋晓宁，吴小俊（2025）. 基于DeepSeek的食品安全法律法规多智能体检索问答. 《中国食品学报》.DOI
15. Lianjie Zhou, Pengchuan Liu, Junhan Liu, Wenlou Yuan, Zhongyuan Wu, Dian Xu, Bo-Fan Hu, Yuting Shao, Yi-Fei Lu, Ningge Huang, Jia-Hao Li, Zhongzheng Li, Fuying Liang, Xiaojun Wu, Li-Chao Ma, Ming Wang, Zeng-Feng Di, Rui Li, Yan-Long Bi, Fan Xu, Yong-Feng Mei, Enming Song (2025). Wireless battery-free ultrathin lithium-niobate resonator as wearable and implantable electronics for continuous monitoring of mechanical vital signs. Nature Communications.DOI
16. Junhan Liu, Zhongyuan Wu, Lianjie Zhou, Yanran Shen, Xiaojun Wu, Jun Liang, Yuting Shao, Pengchuan Liu, Zhongzheng Li, Bo-Fan Hu, Ming Wang, Zengfeng Di, Tianjun Cai, Fan Xu, Su Jiang, Mengdi Han, Ling Tao, Yong-Feng Mei, Enming Song (2025). Conformal, ultrathin crystalline-silicon-based Hall sensor arrays with deep learning models for early-stage monitoring of three-dimensional tumor tissues. npj Flexible Electronics.DOI
17. Fei Wang, Fuying Liang, Qi Chen, Jing-Cheng Huang, Xi Wang, Wei Cheng, Ji-Zhai Cui, Fan Xu, Yongfeng Mei, Xiaojun Wu, Enming Song (2025). MXene-enhanced hydrogel cardiac patch with high electrical conductivity, mechanical strength, and excellent biocompatibility. Materials Today Electronics.DOI
18. Xiaojun Wu, Yuanming Ye, Mu-Bai Sun, Yong-Feng Mei, Bo-Wen Ji, Ming Wang, Enming Song (2025). Recent Progress of Soft and Bioactive Materials in Flexible Bioelectronics. Cyborg and Bionic Systems.DOI
19. Hengyang Lu, X. Liu, Xingda Shang, Wei Hua Fang, Xiao‐Jun Wu (2025). A Multi-Agent Framework for Fine-Grained Multimodal Named Entity Recognition through Check and Reasoning. ACM International Conference on Multimedia in Asia (MMAsia).DOI
20. Zeyang Zhang, Hui Li, Tianyang Xu, Xiao‐Jun Wu, Congcong Bian, Josef Kittler (2025). BusReF: Infrared-Visible Images Registration and Fusion Focus on Reconstructible Area Using One Set of Features. ACM Transactions on Multimedia Computing Communications and Applications.DOI
21. Chongle Peng, Qingbing Sang, Xiao‐Jun Wu, Zhaohong Deng, Lixiong Liu (2025). MTDNet: A crowd counting network based on a multiscale transformer and dilated convolution. Signal Processing Image Communication.DOI
22. Thanet Markchom, Jonathan Boyle, Lulu Chen, James M. Ferryman, Matteo Marturini, Stephan Veigl, Andreas Opitz, Andreas Kriechbaum-Zabini, Romaios Bratskas, Anastasios Gkamaris, Dimitris Papachristos, George Leventakis, Wenjun Fan, Hsiang-Wei Huang, Jenq–Neng Hwang, Pyong-Kun Kim, Kwang‐Ju Kim, Chung-I Huang, Kenta Saito, Shunta Kaneko, Kyoko Sudo, Nguyen Thanh Thien, Meng-Yu Kao, Jun-Wei Hsieh, Teepakorn Lilek, Tossapol Pomsuwan, Jinjie Gu, Tianyang Xu, Xuefeng Zhu, Xiao‐Jun Wu, J. Kittler, Stephanie E. Stacy, Alfredo Gabaldon, Peter Tu, Sangwon Kim, Dongyoung Kim, Kyoungoh Lee (2025). PETS2025: Multi-Authority Multi-Sensor Maritime Surveillance Challenge and Evaluation.DOI
23. Matej Kristan, Jiřı́ Matas, Pavel Tokmakov, Michael Felsberg, Luka Čehovin Zajc, Alan Lukežič, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Y. F. Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Palaniappan Kannappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, A. Yu. Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman Aleksandrovich Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Xin Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiao‐Jun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, V. V. Zunin (2025). The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. Lecture notes in computer science.DOI
24. Zhenqiu Shu, Min Xia, Kaiwen Tan, Zhengtao Yu, Xiao‐Jun Wu (2025). sigRGCN: A Robust Residual Graph Convolutional Network for scRNA-Seq Data Clustering. IEEE Transactions on Computational Biology and Bioinformatics.DOI
25. Qingbing Sang, Qian Li, Lixiong Liu, Zhaohong Deng, Xiao‐Jun Wu, Alan Conrad Bovik (2025). No-Reference Image Quality Assessment Leveraging GenAI Images. IEEE Transactions on Image Processing.DOI
26. Rui Wang, Jiayao Jin, Ziheng Chen, Cong Wu, Xiao‐Jun Wu, Nicu Sebe (2025). Structural Topology Refinement Network for Skeleton-Based Action Recognition. IEEE Transactions on Instrumentation and Measurement.DOI
27. Youwei Zhou, Tianyang Xu, Cong Wu, Xiaojun Wu, Josef Kittler (2025). Adaptive Hyper-Graph Convolution Network for Skeleton-Based Human Action Recognition with Virtual Connections. IEEE/CVF International Conference on Computer Vision (ICCV).DOI
28. 吴祖成，吴小俊，徐天阳（2024）. 基于模态内细粒度特征关系提取的图像文本检索模型. 《计算机应用》.
29. 盛利娜，纪剑，宋晓宁，吴小俊，孙秀兰（2024）. 人工智能辅助食品安全主动防控研究进展. 《中国食品学报》.
30. 宋晓宁，蒋启一，张文杰，吴小俊（2024）. 基于食品知识图谱的智能感知问答. 《中国食品学报》.
31. 赵晓峰，张东霖，吴小俊（2024）. 基于监督学习的跨模态图文检索方法. 《计算机仿真》.
32. 万鹏，胡聪，吴小俊（2024）. 多域特征混合增强对抗样本迁移性方法. 《中国图象图形学报》.
33. 罗晓清，郭林，杨雨萌，黄耐云，吴小俊（2024）. 基于时空Transformer模型的食品监督抽检分类预测研究. 《中国食品学报》.
34. Junhan Liu, Zhongzheng Li, Mu-Bai Sun, Lianjie Zhou, Xiaojun Wu, Yi-Fei Lu, Yuting Shao, Chang Liu, Ningge Huang, Bo-Fan Hu, Zhongyuan Wu, Chun-Yu You, Li-Zhu Li, Ming Wang, Ling Tao, Zengfeng Di, Xing Sheng, Yong-Feng Mei, Enming Song (2024). Flexible bioelectronic systems with large-scale temperature sensor arrays for monitoring and treatments of localized wound inflammation. Proceedings of the National Academy of Sciences of the United States of America.DOI
35. Zhenqiu Shu, Zigao Liu, Zhengtao Yu, Xiao‐Jun Wu (2024). Dual Feature Aggregation Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.DOI
36. Si-hao Liu, Cong Hu, Xiaoning Song, Jia-Sheng Chen, Xiao‐Jun Wu (2024). FewConv: Efficient Variant Convolution for Few-Shot Image Generation. Lecture notes in computer science.DOI
37. Yanglin Deng, Tianyang Xu, Chunyang Cheng, Xiao‐Jun Wu, Josef Kittler (2024). MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion. ACM International Conference on Multimedia (ACM MM).DOI
38. Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao‐Jun Wu, Nicu Sebe (2024). Riemannian Multinomial Logistics Regression for SPD Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.DOI
39. Chao Li, Jun Jie Sun, Liwei Li, Min Shan, Vasile Palade, Xiao‐Jun Wu (2024). Virtual Position Guided Strategy for Particle Swarm Optimization Algorithms on Multimodal Problems. Evolutionary Computation.DOI
40. Wei Hua Fang, Haipeng Jiang, Hengyang Lu, Jun Jie Sun, Xiao‐Jun Wu, Jerry Chun‐Wei Lin (2024). GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). Proceedings - International Conference on Data Engineering.DOI
41. Kefei Yan, Wei Hua Fang, Hengyang Lu, Xin Zhang, Jun Jie Sun, Xiao‐Jun Wu (2024). Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). Proceedings - International Conference on Data Engineering.DOI
42. Cong Wu, Xiao‐Jun Wu, Josef Kittler, Tianyang Xu, Sara Atito Ali Ahmed, Muhammad Awais, Zhenhua Feng (2024). SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
43. Rongchang Li, Tianyang Xu, Xiao‐Jun Wu, Zhongwei Shen, Josef Kittler (2024). Perceiving Actions via Temporal Video Frame Pairs. ACM Transactions on Intelligent Systems and Technology.DOI
44. Rui Wang, Xiao‐Jun Wu, Ziheng Chen, Cong Hu, Josef Kittler (2024). SPD Manifold Deep Metric Learning for Image Set Classification. IEEE Transactions on Neural Networks and Learning Systems.DOI
45. Fang Wei, Zhenhao Zhu, Hong Zhou, Zhang Tao, Sun Jun, Xiaojun Wu (2023). Efficient automatically evolving convolutional neural network for image denoising. Memetic Computing, Vol. 150, No. 20.DOI
46. 冯爱棋，吴小俊，徐天阳（2023）. 融合注意力机制和上下文信息的实时交通标志检测算法. 《计算机科学与探索》.
47. 张宇苏，吴小俊，李辉，徐天阳（2023）. 基于无监督深度学习的红外图像与可见光图像融合算法. 《南京师范大学学报(工程技术版)》.
48. 张子晗，吴小俊，徐天阳（2023）. 多尺度分解和八度卷积相结合的红外与可见光图像融合. 《中国图象图形学报》.
49. 李树涛，吴小俊，马佳义，白相志，刘羽，李辉，韩向娣（2023）. 《中国图象图形学报》图像融合专刊简介. 《中国图象图形学报》.
50. 朱建秋，华阳，宋晓宁，吴小俊，冯振华（2023）. 结合面部纹理和前/背景差异的人脸活体检测. 《中国图象图形学报》.
51. 罗晓清，王培睿，张战成，吴小俊（2023）. 基于PredRNN的蓝藻时空序列预测实验方案设计. 《实验技术与管理》.
52. 章浩明，吴小俊，徐天阳，张东霖（2023）. 跨模态检索的鉴别子空间学习方法. 《计算机仿真》.
53. Yibing Bai, Zhenqiu Shu, Jun Yu, Zhengtao Yu, Xiao‐Jun Wu (2023). Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval. IEEE Transactions on Big Data.DOI
54. Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiao‐Jun Wu, Abdulmotaleb El Saddik (2023). Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.DOI
55. Matej Kristan, Jiřı́ Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Čehovin Zajc, Alan Lukežič, Ondřej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph A. Mayer, Yushan Zhang, Lei Ke, Jie Wen Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong Un An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, H. Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer‐Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinović, Cheng Wan, Jia Xin Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiao‐Jun Wu, Anqi Xiao, Jinxia Xie (2023). The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).DOI
56. Li Li, Zhenqiu Shu, Zhengtao Yu, Xiao‐Jun Wu (2023). Robust online hashing with label semantic enhancement for cross-modal retrieval. Pattern Recognition.DOI
57. Qingbing Sang, Hongguo Zhang, Lixiong Liu, Xiao‐Jun Wu, Alan Conrad Bovik (2023). On the generation of adversarial examples for image quality assessment. The Visual Computer.DOI
58. Ziheng Chen, Tianyang Xu, Xiao‐Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler (2023). Riemannian Local Mechanism for SPD Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
59. Zhangyong Tang, Tianyang Xu, Hui Li, Xiao‐Jun Wu, Xuefeng Zhu, Josef Kittler (2023). Exploring fusion strategies for accurate RGBT visual object tracking. Information Fusion.DOI
60. Rongchang Li, Cong Wu, Linze Li, Zhongwei Shen, Tianyang Xu, Xiao‐Jun Wu, Xi Li, Jiwen Lu, Josef Kittler (2023). Action Probability Calibration for Efficient Naturalistic Driving Action Localization. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).DOI
61. Wei Hua Fang, Zhu Zhenhao, Shuwei Zhu, Jun Jie Sun, Xiao‐Jun Wu, Zhichao Lu (2023). LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. IEEE Computational Intelligence Magazine.DOI
62. Wei Hua Fang, Qiang Zhang, Jun Jie Sun, Xiao‐Jun Wu (2023). Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). Proceedings - International Conference on Data Engineering.DOI
63. Zhancheng Zhang, Yuanhao Gao, Mengyu Xiong, Xiaoqing Luo, Xiao‐Jun Wu (2023). A joint convolution auto-encoder network for infrared and visible image fusion. Multimedia Tools and Applications.DOI
64. Zhenqiu Shu, Bin Li, Cong Hu, Zhengtao Yu, Xiao‐Jun Wu (2023). Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering. Neural Processing Letters.DOI
65. Tianyang Xu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2023). Toward Robust Visual Object Tracking With Independent Target-Agnostic Detection and Effective Siamese Cross-Task Interaction. IEEE Transactions on Image Processing.DOI
66. Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Jie Sun, Xiao‐Jun Wu, Jerry Chun‐Wei Lin (2023). GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Transactions on Knowledge and Data Engineering.DOI
67. Rui Wang, Xiao‐Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler (2023). DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning. Lecture notes in computer science.DOI
68. Aiqi Feng, Haodong Liu, Tianyang Xu, Donglin Zhang, Xiao‐Jun Wu (2023). VLNet: A Multi-task Network for Joint Vehicle and Lane Detection. Lecture notes in computer science.DOI
69. Ruixuan Pang, Rongchang Li, Tianyang Xu, Xiaoning Song, Xiao‐Jun Wu (2023). Multi-modal Stream Fusion for Skeleton-Based Action Recognition. Lecture notes in computer science.DOI
70. Yunjie Zhang, Tianyang Xu, Xiaoning Song, Zhenghua Feng, Xiao‐Jun Wu (2023). Semantic-Guided Multi-feature Fusion for Accurate Video Captioning. Lecture notes in computer science.DOI
71. Qidong Chen, Jun Sun, Vasile Palade, Xiaojun Wu, Xiaoqian Shi (2022). An improved Gaussian distribution based quantum-behaved particle swarm optimization algorithm for engineering shape design problems. Engineering Optimization, Vol. 540, No. 5.DOI
72. 洪雨露，吴小俊，徐天阳（2022）. 基于差异双分支编码器的多阶段图像融合方法. 《模式识别与人工智能》.
73. 蔡雨虹，吴小俊（2022）. 用于人脸识别的类内低秩子空间学习. 《计算机科学与探索》.
74. 陆恒杨，范晨悠，吴小俊（2022）. 面向网络社交媒体的少样本新冠谣言检测. 《中文信息学报》.
75. 陈国洋，吴小俊，徐天阳（2022）. 基于深度学习的无监督红外图像与可见光图像融合算法. 《激光与光电子学进展》.
76. 姜权晏，吴小俊，徐天阳（2022）. 用于骨架行为识别的多维特征嵌合注意力机制. 《中国图象图形学报》.
77. Wei Hua Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Jie Sun, Xiao‐Jun Wu, Bo Yuan (2022). An efficient Bayesian network structure learning algorithm based on structural information. Swarm and Evolutionary Computation.DOI
78. Zhenqiu Shu, Qinghan Long, Luping Zhang, Zhengtao Yu, Xiao‐Jun Wu (2022). Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering. Journal of Chemical Information and Modeling.DOI
79. Zhenqiu Shu, Zigao Liu, Jun Wei Zhou, Songze Tang, Zhengtao Yu, Xiao‐Jun Wu (2022). Spatial–Spectral Split Attention Residual Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.DOI
80. Zhenqiu Shu, Kailing Yong, Donglin Zhang, Jun Yu, Zhengtao Yu, Xiao‐Jun Wu (2022). Robust supervised matrix factorization hashing with application to cross-modal retrieval. Neural Computing and Applications.DOI
81. Donglin Zhang, Xiao‐Jun Wu, Guoqing Chen (2022). ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval. ACM Transactions on Intelligent Systems and Technology.DOI
82. Chunyang Cheng, Tianyang Xu, Xiao‐Jun Wu (2022). MUFusion: A general unsupervised image fusion network based on memory unit. Information Fusion.DOI
83. Cong Hu, Wan Peng, Xiao-Jun Wu, Xiao‐Jun Wu (2022). Delving deep into adversarial perturbations initialization on adversarial examples generation. Journal of Electronic Imaging.DOI
84. Zhenqiu Shu, Li Li, Jun Yu, Donglin Zhang, Zhengtao Yu, Xiao‐Jun Wu (2022). Online supervised collective matrix factorization hashing for cross-modal retrieval. Applied Intelligence.DOI
85. Yunjie Zhang, Tiangyang Xu, Xiaoning Song, Zhenghua Feng, Xiao‐Jun Wu (2022). Fine-grained Video Captioning via Precise Key Point Positioning.DOI
86. Wenhua Dong, Xiao‐Jun Wu, Josef Kittler (2022). Subspace clustering via joint ℓ1,2 and ℓ2,1 norms. Information Sciences.DOI
87. He-Feng Yin, Xiao‐Jun Wu, Cong Hu, Xiaoning Song (2022). Face Recognition via Compact Second-Order Image Gradient Orientations. Mathematics.DOI
88. Zhenqiu Shu, Yibing Bai, Donglin Zhang, Jun Yu, Zhengtao Yu, Xiao‐Jun Wu (2022). Specific class center guided deep hashing for cross-modal retrieval. Information Sciences.DOI
89. Rui Wang, Xiao‐Jun Wu, Tianyang Xu, Cong Hu, Josef Kittler (2022). Deep Metric Learning on the SPD Manifold for Image Set Classification. IEEE Transactions on Circuits and Systems for Video Technology.DOI
90. Yulu Hong, Xiao‐Jun Wu, Tianyang Xu (2022). MEFuse: end-to-end infrared and visible image fusion method based on multibranch encoder. Journal of Electronic Imaging.DOI
91. Shaochuan Zhao, Tianyang Xu, Xiao‐Jun Wu, Josef Kittler (2022). Distillation, Ensemble and Selection for Building a Better and Faster Siamese Based Tracker. IEEE Transactions on Circuits and Systems for Video Technology.DOI
92. Zi‐Han Zhang, Xiao‐Jun Wu, Tianyang Xu (2022). FPNFuse: A lightweight feature pyramid network for infrared and visible image fusion. IET Image Processing.DOI
93. Dayi Yang, Xiao‐Jun Wu, He-Feng Yin (2022). Blind Image Deblurring via a Novel Sparse Channel Prior. Mathematics.DOI
94. Wenbo Hu, Xiao‐Jun Wu, Tianyang Xu (2022). One-step kernelized sparse clustering on grassmann manifolds. Multimedia Tools and Applications.DOI
95. Qingbei Guo, Xiao‐Jun Wu, Josef Kittler, Zhiquan Feng (2022). Differentiable neural architecture learning for efficient neural networks. Pattern Recognition.DOI
96. Hua Yang, Xiaoning Song, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler, Dong‐Jun Yu (2022). CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. IEEE Transactions on Computational Biology and Bioinformatics.DOI
97. Suyang Chen, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiao‐Jun Wu, Josef Kittler (2022). Face anti-spoofing with local difference network and binary facial mask supervision. Journal of Electronic Imaging.DOI
98. Jianjun Liu, Zebin Wu, Liang Xiao, Xiao‐Jun Wu (2022). Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing.DOI
99. Donglin Zhang, Xiao‐Jun Wu, Tianyang Xu, Josef Kittler (2022). WATCH: Two-stage Discrete Cross-media Hashing. IEEE Transactions on Knowledge and Data Engineering.DOI
100. Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Jie Sun, Xiao‐Jun Wu (2022). Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Transactions on Knowledge and Data Engineering.DOI
101. Dayi Yang, Xiao‐Jun Wu, He-Feng Yin (2022). Blind Image Deblurring Via Fast Local Extreme Intensity Prior. Communications in computer and information science.DOI
102. 苏江毅，宋晓宁，吴小俊，於东军（2021）. 多模态轻量级图卷积人体骨架行为识别方法. 《计算机科学与探索》.
103. 徐然然，吴小俊，尹贺峰（2021）. 鉴别性非负表示分类及其在人脸识别中的应用. 《计算机工程与应用》.
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105. Xiaoqing Luo, Yuanhao Gao, Anqi Wang, Zhancheng Zhang, Xiao‐Jun Wu (2021). IFSepR: A General Framework for Image Fusion Based on Separate Representation Learning. IEEE Transactions on Multimedia.DOI
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108. Qingbei Guo, Xiao‐Jun Wu, Josef Kittler, Zhiquan Feng (2021). Weak sub-network pruning for strong and efficient neural networks. Neural Networks.DOI
109. Dongyu Rao, Xiao‐Jun Wu, H. Li, Josef Kittler, Tongqing Xu (2021). UMFA: a photorealistic style transfer method based on U-Net and multi-layer feature aggregation. Journal of Electronic Imaging.DOI
110. Donglin Zhang, Xiao‐Jun Wu (2021). Robust and discrete matrix factorization hashing for cross-modal retrieval. Pattern Recognition.DOI
111. Qingbing Sang, Chenfei Su, Lingying Zhu, Lixiong Liu, Xiao‐Jun Wu, Alan Conrad Bovik (2021). MoNET: no-reference image quality assessment based on a multi-depth output network. Journal of Electronic Imaging.DOI
112. Rui Wang, Xiao‐Jun Wu, Zhen Liu, Josef Kittler (2021). Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification. IEEE Transactions on Cognitive and Developmental Systems.DOI
113. Yu Fu, Xiao‐Jun Wu, Josef Kittler (2021). Effective method for fusing infrared and visible images. Journal of Electronic Imaging.DOI
114. Dayi Yang, Xiao‐Jun Wu, He-Feng Yin (2021). Blind image deblurring via enhanced sparse prior. Journal of Electronic Imaging.DOI
115. Qingbing Sang, Yujie Cao, Lixiong Liu, Cong Hu, Xiao‐Jun Wu (2021). MP2020: Visual quality assessment database for macro photography images. IET Image Processing.DOI
116. Rui Wang, Xiao‐Jun Wu, Josef Kittler (2021). SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification. IEEE Transactions on Neural Networks and Learning Systems.DOI
117. Zhen Liu, Xiao‐Jun Wu, Zhenqiu Shu, He-Feng Yin, Zhe Chen (2021). Weighted Discriminative Sparse Representation for Image Classification. Neural Processing Letters.DOI
118. Xu Zhiwei, Xiao‐Jun Wu, Josef Kittler (2021). STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition. Machine Intelligence Research.DOI
119. Jun Yu, Xiao‐Jun Wu, Donglin Zhang (2021). Unsupervised Multi-modal Hashing for Cross-Modal Retrieval. Cognitive Computation.DOI
120. Hui Li, Xiao‐Jun Wu, Josef Kittler (2021). RFN-Nest: An end-to-end residual fusion network for infrared and visible images. Information Fusion.DOI
121. Yu Fu, Xiao‐Jun Wu, T.S. Durrani (2021). Image fusion based on generative adversarial network consistent with perception. Information Fusion.DOI
122. Zhongwei Shen, Xiao‐Jun Wu, Josef Kittler (2021). Advanced skeleton-based action recognition via spatial–temporal rotation descriptors. Pattern Analysis and Applications.DOI
123. Zhe Chen, Xiao‐Jun Wu, Yu-Hong Cai, Josef Kittler (2021). Sparse non-negative transition subspace learning for image classification. Signal Processing.DOI
124. Donglin Zhang, Xiao‐Jun Wu, Zhen Liu, Jun Yu, Josef Kitter (2021). Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
125. Wenhua Dong, Xiao‐Jun Wu, Hui Li, Zhenhua Feng, Josef Kittler (2021). Subspace Clustering via Joint Unsupervised Feature Selection. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
126. Donglin Zhang, Xiao‐Jun Wu, Tianyang Xu, He-Feng Yin (2021). DAH: Discrete Asymmetric Hashing for Efficient Cross-Media Retrieval. IEEE Transactions on Knowledge and Data Engineering.DOI
127. Guoyang Chen, Xiao‐Jun Wu, Hui Li, Tianyang Xu (2021). MSC-Fuse: An Unsupervised Multi-scale Convolutional Fusion Framework for Infrared and Visible Image. Lecture notes in computer science.DOI
128. 束鑫，唐慧，杨习贝，宋晓宁，吴小俊（2020）. 基于差分量化局部二值模式的人脸反欺诈算法研究. 《计算机研究与发展》.
129. 刘昊鑫，吴小俊，庾骏（2020）. 联合哈希特征和分类器学习的跨模态检索算法. 《模式识别与人工智能》.DOI
130. 王鹏，宋晓宁，吴小俊，於东军（2020）. 用于行人重识别的多类型特征网络. 《模式识别与人工智能》.DOI
131. 汤张泳，吴小俊，朱学峰（2020）. 多空间分辨率自适应特征融合的相关滤波目标跟踪算法. 《模式识别与人工智能》.DOI
132. 汪亚航，宋晓宁，吴小俊（2020）. 结合混合池化的双流人脸活体检测网络. 《中国图象图形学报》.
133. 束鑫，潘慧，邵长斌，史金龙，吴小俊（2020）. 基于局部排序差值细化模式的纹理图像分类. 《计算机辅助设计与图形学学报》.
134. Donglin Zhang, Xiao‐Jun Wu (2020). Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval. IEEE Transactions on Cybernetics.DOI
135. Chaofeng Li, Tuxin Guan, Yuhui Zheng, Bo Jin, Xiao‐Jun Wu, Alan Conrad Bovik (2020). Completely blind image quality assessment via contourlet energy statistics. IET Image Processing.DOI
136. Chaofeng Li, Tuxin Guan, Yuhui Zheng, Xiaochun Zhong, Xiao‐Jun Wu, Alan Conrad Bovik (2020). Blind image quality assessment in the contourlet domain. Signal Processing Image Communication.DOI
137. Wei Fang, Qiang Zhang, Jun Jie Sun, Xiao‐Jun Wu (2020). Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. IEEE Transactions on Knowledge and Data Engineering.DOI
138. Zhenqiu Shu, Yunmeng Zhang, Peng Li, Congzhe You, Zhen Liu, Honghui Fan, Xiao‐Jun Wu (2020). Dual local learning regularized nonnegative matrix factorization and its semi-supervised extension for clustering. Neural Computing and Applications.DOI
139. Zhancheng Zhang, Xinxing Xi, Xiaoqing Luo, Yuting Jiang, Jing Dong, Xiao‐Jun Wu (2020). Multimodal image fusion based on global-regional-local rule in NSST domain. Multimedia Tools and Applications.DOI
140. Zhenqiu Shu, Xiao‐Jun Wu, Cong Hu, Congzhe You, Honghui Fan (2020). Deep semi-nonnegative matrix factorization with elastic preserving for data representation. Multimedia Tools and Applications.DOI
141. Li Chu, Xiao‐Jun Wu (2020). Dimensionality reduction on the symmetric positive definite manifold with application to image set classification. Journal of Electronic Imaging.DOI
142. Hong Zhou, Wei Hua Fang, Jun Jie Sun, Xiao‐Jun Wu (2020). A fast GA for automatically evolving CNN architectures. Genetic and Evolutionary Computation Conference Companion (GECCO Companion).DOI
143. Donglin Zhang, Xiao‐Jun Wu, Jun Yu (2020). Learning latent hash codes with discriminative structure preserving for cross-modal retrieval. Pattern Analysis and Applications.DOI
144. Wenbo Hu, Xiao‐Jun Wu (2020). Multi-geometric Sparse Subspace Clustering. Neural Processing Letters.DOI
145. Rui Wang, Xiao‐Jun Wu (2020). GrasNet: A Simple Grassmannian Network for Image Set Classification. Neural Processing Letters.DOI
146. Qiang Qian, Xiao‐Jun Wu, Josef Kittler, Tianyang Xu (2020). Correlation tracking with implicitly extending search region. The Visual Computer.DOI
147. Jun Yu, Xiao‐Jun Wu (2020). Cross-modal subspace learning via kernel correlation maximization and discriminative structure-preserving. Multimedia Tools and Applications.DOI
148. Ziqi Li, Jun Sun, Xiao‐Jun Wu, He-Feng Yin (2020). Multiplication fusion of sparse and collaborative-competitive representation for image classification. International Journal of Machine Learning and Cybernetics.DOI
149. Zhenqiu Shu, Xiao‐Jun Wu, Congzhe You, Zhen Liu, Peng Li, Honghui Fan, Feiyue Ye (2020). Rank-constrained nonnegative matrix factorization for data representation. Information Sciences.DOI
150. Rui Wang, Xiao‐Jun Wu, Kaixuan Chen, Josef Kittler (2020). Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning. IEEE Transactions on Big Data.DOI
151. Rui Wang, Xiao‐Jun Wu, Josef Kittler (2020). Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features. IEEE Transactions on Multimedia.DOI
152. Jun Yu, Xiao‐Jun Wu, Josef Kittler (2020). Learning discriminative hashing codes for cross-modal retrieval based on multi-view features. Pattern Analysis and Applications.DOI
153. Hui Li, Xiao‐Jun Wu, Josef Kittler (2020). MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion. IEEE Transactions on Image Processing.DOI
154. Matej Kristan, Aleš Leonardis, Jiřı́ Matas, Michael Felsberg, Roman Pflugfelder, Joni‐Kristian Kämäräinen, Martin Danelljan, Luka Čehovin Zajc, Alan Lukežič, Ondřej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García‐Martín, Andreas Robinson, Anton Yuriiovych Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi‐Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Hai‐Tao Zhang, Hakan Çevıkalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Sarıbaş, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, LI Jian-hua, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shaochuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao‐Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yi-Wei Chen, Yu Ye, Yuezhou Li, Yuncon Yao (2020). The Eighth Visual Object Tracking VOT2020 Challenge Results. Lecture notes in computer science.DOI
155. Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak A. Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiao‐Jun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi (2020). VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. Lecture notes in computer science.DOI
156. Cong Hu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2020). Dual Encoder-Decoder Based Generative Adversarial Networks for Disentangled Facial Representation Learning. IEEE Access.DOI
157. Jieyi Ren, Xiao‐Jun Wu (2020). Probability Distribution-Based Dimensionality Reduction on Riemannian Manifold of SPD Matrices. IEEE Access.DOI
158. Qingbing Sang, Yunshuo Yang, Lixiong Liu, Xiaoning Song, Xiao‐Jun Wu (2020). Image Quality Assessment Based on Quaternion Singular Value Decomposition. IEEE Access.DOI
159. Dayi Yang, Xiao‐Jun Wu (2020). Dual-Channel Contrast Prior for Blind Image Deblurring. IEEE Access.DOI
160. Zonghui Weng, Zhenqiu Shu, Congzhe You, Yunmeng Zhang, Xiao‐Jun Wu (2020). Locally Consistent Constrained Concept Factorization with Lp Smoothness for Image Representation. Lecture notes in computer science.DOI
161. Ziqi Li, Jun Sun, Xiao‐Jun Wu, He-Feng Yin (2020). Score level fusion in representation-based classification method for face recognition. Journal of Algorithms & Computational Technology.DOI
162. 连逸亚，吴小俊（2019）. 超深卷积神经网络的图像超分辨率重建研究. 《计算机工程》.DOI
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164. 宋昊泽，吴小俊（2019）. 图像多尺度密集网络去模糊模型. 《激光与光电子学进展》.
165. 宋昊泽，吴小俊（2019）. 人脸老化/去龄化的高质量图像生成模型. 《中国图象图形学报》.
166. 王译萱，吴小俊（2019）. 基于深度特征与局部约束掩膜的相关滤波跟踪算法. 《数据采集与处理》.DOI
167. 吴小艺，吴小俊（2019）. 结构化加权稀疏低秩恢复算法在人脸识别中的应用. 《智能系统学报》.
168. 王译萱，吴小俊，徐天阳（2019）. 基于时序一致和空间剪裁的多特征相关滤波跟踪算法. 《激光与光电子学进展》.
169. Tianyang Xu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2019). An accelerated correlation filter tracker. Pattern Recognition.DOI
170. Zhenhua Feng, Josef Kittler, Muhammad Awais, Xiao‐Jun Wu (2019). Rectified Wing Loss for Efficient and Robust Facial Landmark Localisation with Convolutional Neural Networks. International Journal of Computer Vision.DOI
171. He-Feng Yin, Xiao‐Jun Wu, Josef Kittler, Zhenhua Feng (2019). Learning a representation with the block-diagonal structure for pattern classification. Pattern Analysis and Applications.DOI
172. Cong Hu, Xiao‐Jun Wu, Zhenqiu Shu (2019). Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data. KSII Transactions on Internet and Information Systems.DOI
173. Zhe Chen, Xiao‐Jun Wu, He-Feng Yin, Josef Kittler (2019). Noise-robust dictionary learning with slack block-Diagonal structure for face recognition. Pattern Recognition.DOI
174. He-Feng Yin, Xiao‐Jun Wu, Sugen Chen (2019). Locality Constraint Dictionary Learning With Support Vector for Pattern Classification. IEEE Access.DOI
175. Ziqi Li, Jun Jie Sun, Xiao‐Jun Wu, He-Feng Yin (2019). Sparsity augmented weighted collaborative representation for image classification. Journal of Electronic Imaging.DOI
176. Zhenhua Feng, Josef Kittler, Bill Christmas, Xiao‐Jun Wu (2019). A Unified Tensor-based Active Appearance Model. ACM Transactions on Multimedia Computing Communications and Applications.DOI
177. Tianyang Xu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2019). Learning Low-Rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology.DOI
178. Tianyang Xu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2019). Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. IEEE/CVF International Conference on Computer Vision (ICCV).DOI
179. Cong Wu, Xiao‐Jun Wu, Josef Kittler (2019). Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition.DOI
180. Lei Jiang, Xiao‐Jun Wu, Josef Kittler (2019). Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment.DOI
181. Kaixuan Chen, Xiao‐Jun Wu, Jieyi Ren, Rui Wang, Josef Kittler (2019). More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation.DOI
182. Lei Jiang, Xiao‐Jun Wu, Josef Kittler (2019). Pose-invariant three-dimensional face reconstruction. Journal of Electronic Imaging.DOI
183. Jun Yu, Xiao‐Jun Wu, Josef Kittler (2019). Discriminative Supervised Hashing for Cross-Modal Similarity Search. Image and Vision Computing.DOI
184. Zhe Chen, Xiao‐Jun Wu, Josef Kittler (2019). A sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion. Pattern Recognition Letters.DOI
185. Wenhua Dong, Xiao‐Jun Wu, Josef Kittler (2019). Sparse subspace clustering via smoothed ℓ minimization. Pattern Recognition Letters.DOI
186. Xiaoning Song, Guosheng Hu, Jian-Hao Luo, Zhenhua Feng, Dong‐Jun Yu, Xiao‐Jun Wu (2019). Fast SRC using quadratic optimisation in downsized coefficient solution subspace. Signal Processing.DOI
187. Jun Jie Sun, Jun Sun, Qidong Chen, Jianan Sun, Jianan Sun, Tao Zhang, Wei Hua Fang, Xiao‐Jun Wu (2019). Graph-structured multitask sparsity model for visual tracking. Information Sciences.DOI
188. Jun Jie Sun, Chao Li, Xiao‐Jun Wu, Vasile Palade, Wei Hua Fang (2019). An Effective Method of Weld Defect Detection and Classification Based on Machine Vision. IEEE Transactions on Industrial Informatics.DOI
189. Song Xu, Xiao‐Jun Wu, Hui Li (2019). MSDNet for Medical Image Fusion. Lecture notes in computer science.DOI
190. Song Xu, Xiao‐Jun Wu (2019). Multi-focus Image Fusion with PCA Filters of PCANet. Lecture notes in computer science.DOI
191. Zhe Chen, Xiao‐Jun Wu, Josef Kittler (2019). Non-negative Representation Based Discriminative Dictionary Learning for Face Recognition. Lecture notes in computer science.DOI
192. Qingbei Guo, Xiao‐Jun Wu, Xiuyang Zhao (2019). Compression of Deep Convolutional Neural Networks Using Effective Channel Pruning. Lecture notes in computer science.DOI
193. He-Feng Yin, Xiao‐Jun Wu (2019). Label consistent transform learning for pattern classification. Journal of Algorithms & Computational Technology.DOI
194. Lei Jiang, Xiao‐Jun Wu, Josef Kittler (2019). Robust 3D Face Alignment with Efficient Fully Convolutional Neural Networks. Lecture notes in computer science.DOI
195. Zhenqiu Shu, Xiao‐Jun Wu, Zhen Liu, Congzhe You, Honghui Fan (2019). The Optimal Graph Regularized Sparse Coding with Application to Image Representation. Lecture notes in computer science.DOI
196. Zhenqiu Shu, Xiao‐Jun Wu, Honghui Fan, Congzhe You, Zhen Liu, Jie Zhang (2019). Concept Factorization with Optimal Graph Learning for Data Representation. Lecture notes in computer science.DOI
197. 储莉，吴小俊（2018）. 基于高斯混合模型的分量对称正定矩阵模型. 《模式识别与人工智能》.
198. 冯棐，吴小俊，徐天阳（2018）. 基于子空间和直方图的多记忆自适应相关滤波目标跟踪算法. 《模式识别与人工智能》.
199. 王锐，吴小俊（2018）. 基于切空间判别学习的流形降维算法. 《软件学报》.
200. 王江辉，吴小俊（2018）. 基于协同传递机制的形状匹配算法. 《计算机应用与软件》.
201. 夏瑜，吴小俊，周立凡，李菊（2018）. 基于多层字典的自重构目标跟踪算法. 《光电子·激光》.
202. 陈凯旋，吴小俊（2018）. 面向图像集分类的切空间稀疏表示算法. 《中国图象图形学报》.
203. Xiaoning Song, Youming Chen, Zhenhua Feng, Guosheng Hu, Tao Zhang, Xiao‐Jun Wu (2018). Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary learning. Pattern Recognition.DOI
204. Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiao‐Jun Wu (2018). Supervised Image Classification with Self-Paced Regularization. IEEE ... International Conference on Data Mining workshops.DOI
205. Congzhe You, Vasile Palade, Xiao‐Jun Wu (2018). Robust structure low-rank representation in latent space. Engineering Applications of Artificial Intelligence.DOI
206. Congzhe You, Xiao‐Jun Wu, Vasile Palade (2018). Graph Regularized Low-Rank Representation for Semi-Supervised Learning. International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES).DOI
207. Congzhe You, Xiao‐Jun Wu (2018). Feature selection embedded subspace clustering with low-rank and locality constraints. IEEE International Smart Cities Conference (ISC2).DOI
208. Cong Hu, Xiao‐Jun Wu, Zhenqiu Shu (2018). Discriminative Feature Learning via Sparse Autoencoders with Label Consistency Constraints. Neural Processing Letters.DOI
209. Hui Li, Xiao‐Jun Wu, Josef Kittler (2018). Infrared and Visible Image Fusion using a Deep Learning Framework. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
210. Rui Wang, Xiao‐Jun Wu, Kaixuan Chen, Josef Kittler (2018). Multiple Manifolds Metric Learning with Application to Image Set Classification. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
211. Tianyang Xu, Xiao‐Jun Wu, Josef Kittler (2018). Non-negative Subspace Representation Learning Scheme for Correlation Filter Based Tracking. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
212. Jun Yu, Xiao‐Jun Wu, Josef Kittler (2018). Semi-supervised Hashing for Semi-Paired Cross-View Retrieval. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
213. Sugen Chen, Xiao‐Jun Wu, Juan Xu (2018). Locality preserving projection least squares twin support vector machine for pattern classification. Pattern Analysis and Applications.DOI
214. Chaofeng Li, Yifan Li, Yunhao Yuan, Xiao‐Jun Wu, Qingbing Sang (2018). Quaternion wavelet transform based full reference image quality assessment for multiply distorted images. PLoS ONE.DOI
215. Congzhe You, Vasile Palade, Xiao‐Jun Wu (2018). Robust Structured Low-Rank Representation for Image Segmentation. International Journal of Artificial Intelligence Tools.DOI
216. Zhenhua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao‐Jun Wu (2018). Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.DOI
217. Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Jie Sun, Xiao‐Jun Wu (2018). A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. IEEE Transactions on Cybernetics.DOI
218. Xiaoning Song, Zhenhua Feng, Guosheng Hu, Josef Kittler, Xiao‐Jun Wu (2018). Dictionary Integration Using 3D Morphable Face Models for Pose-Invariant Collaborative-Representation-Based Classification. IEEE Transactions on Information Forensics and Security.DOI
219. Zhenqiu Shu, Xiao‐Jun Wu, Cong Hu (2018). Structure Preserving Sparse Coding for Data Representation. Neural Processing Letters.DOI
220. Chaofeng Li, Guoce Zhu, Xiao‐Jun Wu, Yuanquan Wang (2018). False-Positive Reduction on Lung Nodules Detection in Chest Radiographs by Ensemble of Convolutional Neural Networks. IEEE Access.DOI
221. Zhe Chen, Xiao‐Jun Wu, He-Feng Yin, Josef Kittler (2018). Robust Low-Rank Recovery with a Distance-Measure Structure for Face Recognition. Lecture notes in computer science.DOI
222. Chaofeng Li, Yu Zhang, Xiao‐Jun Wu, Yuhui Zheng (2018). A Multi-Scale Learning Local Phase and Amplitude Blind Image Quality Assessment for Multiply Distorted Images. IEEE Access.DOI
223. Zhenqiu Shu, Xiao‐Jun Wu, Pu Huang, Honghui Fan, Zhen Liu, Feiyue Ye (2018). Multiple Graph Regularized Concept Factorization With Adaptive Weights. IEEE Access.DOI
224. Tao Jiang, Yu Zhang, Xiao‐Jun Wu, Yuan Rao, Mingquan Zhou (2018). Single Image Super-Resolution via Squeeze and Excitation Network.
225. Zengxi Huang, Zhenhua Feng, Fei Yan, Josef Kittler, Xiao‐Jun Wu (2018). Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset. Lecture notes in computer science.DOI
226. 赵剑，吴小俊，董文华（2017）. 局部约束加强的最小二乘回归子空间聚类. 《模式识别与人工智能》.
227. 傅文进，吴小俊（2017）. 基于l2范数的加权低秩子空间聚类. 《软件学报》.
228. 王锐，吴小俊（2017）. 基于Log-Gabor滤波特征的黎曼流形图像集分类算法. 《模式识别与人工智能》.
229. 傅文进，吴小俊，董文华，尹贺峰（2017）. 基于协同表示的子空间聚类. 《模式识别与人工智能》.
230. 王美健，吴小俊（2017）. 一种面向机动目标跟踪的交互式多模型算法. 《计算机应用与软件》.
231. 陈素根，吴小俊（2017）. 改进的投影孪生支持向量机. 《电子学报》.
232. 费宇杰，吴小俊（2017）. 一种局部聚合描述符和组显著编码相结合的编码方法. 《智能系统学报》.
233. 吴小俊，徐天阳，须文波（2017）. 基于相关滤波的视频目标跟踪算法综述. 《指挥信息系统与技术》.
234. Sugen Chen, Xiao‐Jun Wu, He-Feng Yin (2017). A novel projection twin support vector machine for binary classification. Soft Computing.DOI
235. Jieyi Ren, Xiao‐Jun Wu (2017). Vectorial approximations of infinite-dimensional covariance descriptors for image classification. Computational Visual Media.DOI
236. Wenhua Dong, Xiao‐Jun Wu (2017). Robust Low Rank Subspace Segmentation via Joint $$\ell _{21} $$ ℓ 21 -Norm Minimization. Neural Processing Letters.DOI
237. Paul Koppen, Zhenhua Feng, Josef Kittler, Muhammad Awais, William J. Christmas, Xiao‐Jun Wu, He-Feng Yin (2017). Gaussian mixture 3D morphable face model. Pattern Recognition.DOI
238. Qingbing Sang, Tingting Gu, Chaofeng Li, Xiao‐Jun Wu (2017). Stereoscopic image quality assessment via convolutional neural networks.DOI
239. Fei Feng, Xiao‐Jun Wu, Tianyang Xu (2017). Object tracking with kernel correlation filters based on mean shift.DOI
240. Xinxing Xi, Xiaoqing Luo, Zhancheng Zhang, Qingjun You, Xiao‐Jun Wu (2017). Multimodal medical volumetric image fusion based on multi-feature in 3-D shearlet transform.DOI
241. Zhenqiu Shu, Xiao‐Jun Wu, Cong Hu, Jicheng Wang (2017). Structured discriminative concept factorization for data representation.DOI
242. Tianyang Xu, Xiao‐Jun Wu, Fei Feng (2017). Fast visual object tracking via correlation filter and binary descriptors.DOI
243. Yunhao Yuan, Yun Li, Chaofeng Li, Bin Li, Jipeng Qiang, Wei Hua Fang, Xiao‐Jun Wu, Quansen Sun (2017). Symmetric deflation based multiview canonical correlation learning algorithm.DOI
244. Junfeng Cao, Xiao‐Jun Wu (2017). A novel level set method for image segmentation by combining local and global information. Journal of Modern Optics.DOI
245. Dan Yu, Xiao‐Jun Wu (2017). 2DPCANet: a deep leaning network for face recognition. Multimedia Tools and Applications.DOI
246. Zhenhua Feng, Josef Kittler, William J. Christmas, Patrik Huber, Xiao‐Jun Wu (2017). Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting. IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.DOI
247. Zhenqiu Shu, Xiao‐Jun Wu, Honghui Fan, Pu Huang, Dong Ya Wu, Cong Hu, Feiyue Ye (2017). Parameter-less Auto-weighted multiple graph regularized Nonnegative Matrix Factorization for data representation. Knowledge-Based Systems.DOI
248. Congzhe You, Xiao‐Jun Wu (2017). Co-regularized weighting multiview clustering. Journal of Algorithms & Computational Technology.DOI
249. Sugen Chen, Xiao‐Jun Wu (2017). A new fuzzy twin support vector machine for pattern classification. International Journal of Machine Learning and Cybernetics.DOI
250. Min Jiang, Ruru Lu, Jun Kong, Xiao‐Jun Wu, Hongtao Huo, Xiaofeng Wang (2017). GB(2D)2 PCA-based convolutional network for face recognition. Journal of Electronic Imaging.DOI
251. Zhenqiu Shu, Hongfei Fan, Pu Huang, Dong Ya Wu, Feiyue Ye, Xiao‐Jun Wu (2017). Multiple Laplacian graph regularised low‐rank representation with application to image representation. IET Image Processing.DOI
252. Xiaoqing Luo, Zhancheng Zhang, Cuiying Zhang, Xiao‐Jun Wu (2017). Multi-focus image fusion using HOSVD and edge intensity. Journal of Visual Communication and Image Representation.DOI
253. Wei Hua Fang, Xinhong Song, Xiaojun Wu, Jun Yuan Sun, Mengqi Hu (2017). Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks. Information Fusion.DOI
254. Rui Wang, Xiao‐Jun Wu (2017). Structure Maintaining Discriminant Maps (SMDM) for Grassmann Manifold Dimensionality Reduction with Applications to the Image Set Classification. International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES).DOI
255. 许凯，吴小俊，尹贺峰（2016）. 基于分布式低秩表示的子空间聚类算法. 《计算机研究与发展》.
256. 许亚骏，吴小俊（2016）. 基于量子行为粒子群优化的软子空间聚类算法. 《模式识别与人工智能》.
257. 夏瑜，吴小俊，李菊，周立凡（2016）. 基于改进融合策略的多特征跟踪算法. 《机器人》.
258. 夏瑜，吴小俊，李菊，周立凡（2016）. 基于多特征自适应融合的分类采样跟踪算法. 《光电子·激光》.
259. 余丹，吴小俊（2016）. 一种卷积神经网络和极限学习机相结合的人脸识别方法. 《数据采集与处理》.
260. 王美健，吴小俊（2016）. 适于非线性机动目标跟踪的新IMM平滑算法. 《光电工程》.
261. 陈素根，吴小俊（2016）. 基于特征值分解的中心支持向量机算法. 《电子与信息学报》.
262. 王美健，吴小俊（2016）. 具有模型概率修正的新颖IMMPDA算法. 《传感器与微系统》.
263. Xiaoqing Luo, Zhancheng Zhang, Baocheng Zhang, Xiao‐Jun Wu (2016). Image Fusion With Contextual Statistical Similarity and Nonsubsampled Shearlet Transform. IEEE Sensors Journal.DOI
264. Xue-Ni Zheng, Xiaoqing Luo, Zhancheng Zhang, Xiao‐Jun Wu (2016). Multi-focus image fusion using quaternion wavelet transform. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
265. Xiaoqing Luo, Zhancheng Zhang, Baocheng Zhang, Xiao‐Jun Wu (2016). Contextual Information Driven Multi-modal Medical Image Fusion. IETE Technical Review.DOI
266. Congzhe You, Vasile Palade, Xiao‐Jun Wu (2016). Combining graph embedding and sparse regression with structure low-rank representation for semi-supervised learning. Complex Adaptive Systems Modeling.DOI
267. Tianyang Xu, Xiao‐Jun Wu (2016). Fast visual object tracking via distortion-suppressed correlation filtering. IEEE International Smart Cities Conference (ISC2).DOI
268. Yajun Xu, Xiao‐Jun Wu (2016). An affine subspace clustering algorithm based on ridge regression. Pattern Analysis and Applications.DOI
269. Congzhe You, Xiao‐Jun Wu, Vasile Palade, Abdulrahman Altahhan (2016). Manifold locality constrained low-rank representation and its applications.DOI
270. Maolong Xi, Xiao‐Jun Wu, Xinyi Sheng, Jun Jie Sun, Wenbo Xu (2016). Improved quantum-behaved particle swarm optimization with local search strategy. Journal of Algorithms & Computational Technology.DOI
271. Sugen Chen, Xiao‐Jun Wu (2016). Multiple birth least squares support vector machine for multi-class classification. International Journal of Machine Learning and Cybernetics.DOI
272. Sugen Chen, Xiao‐Jun Wu, Juan Xu (2016). Locality preserving projection twin support vector machine and its application in classification. Journal of Algorithms & Computational Technology.DOI
273. Changbin Shao, Xiaoning Song, Xin Shu, Xiao‐Jun Wu (2016). Converted-face identification: using synthesized images to replace original images for recognition. Multimedia Tools and Applications.DOI
274. Xiaoning Song, Changbin Shao, Xibei Yang, Xiao‐Jun Wu (2016). Sparse representation-based classification using generalized weighted extended dictionary. Soft Computing.DOI
275. Sugen Chen, Xiao‐Jun Wu, He-Feng Yin (2016). KPCA method based on within-class auxiliary training samples and its application to pattern classification. Pattern Analysis and Applications.DOI
276. Sugen Chen, Xiao‐Jun Wu, Renfeng Zhang (2016). A Novel Twin Support Vector Machine for Binary Classification Problems. Neural Processing Letters.DOI
277. He-Feng Yin, Xiao‐Jun Wu (2016). Face Recognition Based on Structural Incoherence and Low Rank Projection. Lecture notes in computer science.DOI
278. Cong Hu, Xiao‐Jun Wu (2016). Autoencoders with Drop Strategy. Lecture notes in computer science.DOI
279. Dan Yu, Xiao‐Jun Wu (2016). VLAD Is not Necessary for CNN. Lecture notes in computer science.DOI
280. 谢佩，吴小俊（2015）. 分块多线性主成分分析及其在人脸识别中的应用研究. 《计算机科学》.
281. 曹俊峰，吴小俊，陈素根（2015）. 基于改进符号压力函数的变分水平集图像分割算法. 《计算机科学》.
282. 尹贺峰，吴小俊，陈素根（2015）. 改进的局部稀疏表示分类算法及其在人脸识别中的应用. 《计算机科学》.
283. 范燕，吴小俊，邵长斌，宋晓宁（2015）. 基于PCA的GHA算法在BP网中的融合应用. 《计算机科学》.
284. 刘元，吴小俊（2015）. 基于Log-Gabor滤波与黎曼流形学习的图像识别算法. 《模式识别与人工智能》.
285. 奚茂龙，吴小俊，方伟，孙俊（2015）. 一种具有自我更新机制的量子粒子群优化算法. 《计算机工程与应用》.
286. Wen Yi Zhao, Xiao‐Jun Wu, He-Feng Yin (2015). Collaborative Representation-Based Robust Face Recognition by Discriminative Low-Rank Representation.DOI
287. Xiaoning Song, Zhenhua Feng, Guosheng Hu, Xiao‐Jun Wu (2015). Half-Face Dictionary Integration for Representation-Based Classification. IEEE Transactions on Cybernetics.DOI
288. Xiaoning Song, Zhenhua Feng, Xibei Yang, Xiao‐Jun Wu, Jingyu Yang (2015). Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images. Neurocomputing.DOI
289. Xiaoqing Luo, Zhancheng Zhang, Xiao‐Jun Wu (2015). A novel algorithm of remote sensing image fusion based on shift-invariant Shearlet transform and regional selection. AEU - International Journal of Electronics and Communications.DOI
290. Wei Fang, Jun Jie Sun, Huanhuan Chen, Xiao‐Jun Wu (2015). A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. Information Sciences.DOI
291. Tianyang Xu, Xiao‐Jun Wu (2015). Visual object tracking via deep neural network. IEEE International Smart Cities Conference (ISC2).DOI
292. Congzhe You, Xiao‐Jun Wu (2015). Transfer Entropy Weighting Soft Subspace Clustering. Journal of Algorithms & Computational Technology.DOI
293. Chaofeng Li, Yu Zhang, Xiao‐Jun Wu, Wei Hua Fang, Li Mao (2015). Blind multiply distorted image quality assessment using relevant perceptual features. Proceedings - International Conference on Image Processing.DOI
294. Chaofeng Li, Feng Pan, Xiao‐Jun Wu, Yiwen Ju, Yunhao Yuan, Wei Hua Fang (2015). Video quality assessment using content-weighted spatial and temporal pooling method. Journal of Electronic Imaging.DOI
295. Junfeng Cao, Xiao‐Jun Wu, He-Feng Yin (2015). An improved hybrid gradient variation level set method for image segmentation and bias correction. International Journal of Computer Mathematics.DOI
296. Kaimin Liu, Xiao‐Jun Wu (2015). Fuzzy support vector machines based on collaborative representation. International Conference on Natural Computation (ICNC).DOI
297. Cuiying Zhang, Xiaoqing Luo, Zhancheng Zhang, Ruichao Gao, Xiao‐Jun Wu (2015). Multi-Focus Image Fusion Method Using Higher Order Singular Value Decomposition and Fuzzy Reasoning. Journal of Algorithms & Computational Technology.DOI
298. Zhenhua Feng, Guosheng Hu, Josef Kittler, William J. Christmas, Xiao‐Jun Wu (2015). Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting. IEEE Transactions on Image Processing.DOI
299. Xia Yu, Xiao‐Jun Wu (2015). Adaptive Ball Particle Filter and its Application to Visual Tracking. IETE Technical Review.DOI
300. Changbin Shao, Xiaoning Song, Xibei Yang, Xiao‐Jun Wu (2015). Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. Soft Computing.DOI
301. Yi Fu, Xiao‐Jun Wu, Zhiguo Chen, Jun Jie Sun, Ji Zhao, Wenbo Xu (2015). A New Approach for Flexible Molecular Docking Based on Swarm Intelligence. Mathematical Problems in Engineering.DOI
302. Jieyi Ren, Xiao‐Jun Wu (2015). Bidirectional Covariance Matrices: A Compact and Efficient Data Descriptor for Image Set Classification. Lecture notes in computer science.DOI
303. Tianyang Xu, Xiao‐Jun Wu (2015). Fast Correction Visual Tracking via Feedback Mechanism. Lecture notes in computer science.DOI
304. He-Feng Yin, Xiao‐Jun Wu, Xiaoqi Sun (2015). Client Specific Image Gradient Orientation for Unimodal and Multimodal Face Representation. Lecture notes in computer science.DOI
305. Congzhe You, Xiao‐Jun Wu (2015). Graph Regularized Structured Sparse Subspace Clustering. Lecture notes in computer science.DOI
306. Jieyi Ren, Xiao‐Jun Wu (2015). Sparse Coding for Symmetric Positive Definite Matrices with Application to Image Set Classification. Lecture notes in computer science.DOI
307. 由从哲，吴小俊（2014）. 视角熵权重的中心化多视角模糊聚类. 《计算机科学与探索》.
308. 桑庆兵，梁狄林，吴小俊，李朝锋（2014）. 基于膨胀的梯度结构相似度图像质量评价方法. 《计算机科学》.
309. 李奕，吴小俊（2014）. 香农熵加权稀疏表示图像融合方法研究. 《自动化学报》.
310. 李奕，吴小俊（2014）. 粒子群进化学习自适应双通道脉冲耦合神经网络图像融合方法研究. 《电子学报》.
311. Xin Shu, Lei Pan, Xiao‐Jun Wu (2014). Multi-scale contour flexibility shape signature for Fourier descriptor. Journal of Visual Communication and Image Representation.DOI
312. Qingbing Sang, Xiao‐Jun Wu, Chaofeng Li, Alan Conrad Bovik (2014). Blind image quality assessment using a reciprocal singular value curve. Signal Processing Image Communication.DOI
313. Qingbing Sang, Xiao‐Jun Wu, Chaofeng Li, Lu Yin (2014). Blind Image Blur Assessment Using Singular Value Similarity and Blur Comparisons. PLoS ONE.DOI
314. Xiaoqing Luo, Zhancheng Zhang, Xiao‐Jun Wu (2014). Adaptive multistrategy image fusion method. Journal of Electronic Imaging.DOI
315. Zhancheng Zhang, Xiaoqing Luo, Xiao‐Jun Wu (2014). A New Pan-Sharpening Method Using Statistical Model and Shearlet Transform. IETE Technical Review.DOI
316. Qingbing Sang, Xiao‐Jun Wu, Chaofeng Li, Lu Yin (2014). Universal blind image quality assessment using contourlet transform and singular-value decomposition. Journal of Electronic Imaging.DOI
317. Qingbing Sang, Qi Huixin, Xiao‐Jun Wu, Chaofeng Li, Alan Conrad Bovik (2014). No-reference image blur index based on singular value curve. Journal of Visual Communication and Image Representation.DOI
318. Xiaoning Song, Zi Liu, Jingyu Yang, Xiao‐Jun Wu (2014). Using idea of three-step sparse residuals measurement to perform discriminant analysis. Soft Computing.DOI
319. Zhenhua Feng, Patrik Huber, Josef Kittler, William J. Christmas, Xiao‐Jun Wu (2014). Random Cascaded-Regression Copse for Robust Facial Landmark Detection. IEEE Signal Processing Letters.DOI
320. Xiaoqing Luo, Zhancheng Zhang, Xiao‐Jun Wu (2014). Image Fusion Using Region Segmentation and Sigmoid Function. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
321. Hongying Zhang, Xiaoqing Luo, Xiao‐Jun Wu, Zhancheng Zhang (2014). Statistical Modeling of Multi-modal Medical Image Fusion Method Using C-CHMM and M-PCNN. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
322. Xian Wei Wu, Xiaoqi Sun, Xiaoqi Sun, Xiao‐Jun Wu, Xiao‐Jun Wu (2014). A Face Recognition Algorithm Based on Contextual Constraints Generalized Two-Dimensional FLD. Journal of Algorithms & Computational Technology.DOI
323. Xiaoqing Luo, Xiao‐Jun Wu, Zhancheng Zhang (2014). Regional and Entropy component analysis based remote sensing images fusion. Journal of Intelligent & Fuzzy Systems.DOI
324. Xiao‐Jun Wu (2014). Feature Extraction: Algebraic and Geometrical Perspectives. International Conference on Industrial Application Engineering (ICIAE).DOI
325. 桑庆兵，齐会新，吴小俊，李朝锋（2013）. 基于DCT系数无参考模糊图像质量评价方法. 《仪器仪表学报》.DOI
326. 桑庆兵，李朝锋，吴小俊（2013）. 基于灰度共生矩阵的无参考模糊图像质量评价方法. 《模式识别与人工智能》.
327. 夏瑜，吴小俊，王洪元（2013）. 双环Mean Shift视频跟踪算法. 《模式识别与人工智能》.
328. Zhancheng Zhang, Jun Dong, Xiaoqing Luo, Kup‐Sze Choi, Xiao‐Jun Wu (2013). Heartbeat classification using disease-specific feature selection. Computers in Biology and Medicine.DOI
329. Cuifang Gao, Xiao‐Jun Wu, Philip L. H. Yu (2013). An Algorithm of Fuzzy Collaborative Clustering based on Kernel Competitive Agglomeration. Journal of Computers.DOI
330. Chaofeng Li, Yiwen Ju, Alan Conrad Bovik, Xiao‐Jun Wu, Qingbing Sang (2013). No-training, no-reference image quality index using perceptual features. Optical Engineering.DOI
331. Xiaoqing Luo, Xiao‐Jun Wu, ZhangChen Zhang (2013). Image Fusion of the Feature Level Based on Quantum-Behaved Particle Swarm Optimization Algorithm. Journal of Algorithms & Computational Technology.DOI
332. Zhenhua Feng, Josef Kittler, William J. Christmas, Xiao‐Jun Wu (2013). Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis. Lecture notes in computer science.DOI
333. He-Feng Yin, Xiao‐Jun Wu (2013). A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition. Lecture notes in computer science.DOI
334. Xiao‐Jun Wu (2013). No-reference blur image quality assemssment based on gradient similarity. Journal of Optoelectronics·laser.
335. He-Feng Yin, Xiao‐Jun Wu (2013). A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition. Lecture notes in computer science.DOI
336. Xiao‐Jun Wu (2013). Remote sensing image fusion combining entropy principal component transform and optimization methods. Journal of Computer Applications.
337. Li Liu, Xiaojun Wu (2013). Semi-Supervised Possibilistic Fuzzy c-Means Clustering Algorithm on Maximized Central Distance. International Conference on Computer Science and Electronics Engineering (ICCSEE).DOI
338. Cai-Xian Liao, Xiaojun Wu (2013). An improved ASM matching method. International Conference on Computer Science and Electronics Engineering (ICCSEE).DOI
339. 童怀水，吴小俊（2012）. 一种基于PCNN的多聚焦图像融合改进算法. 《计算机工程》.
340. 程起才，王洪元，吴小俊，冯燕，刘锁兰（2012）. 一种用于人脸识别的有监督核化多类多流形ISOMAP算法. 《控制与决策》.
341. 梅蓉蓉，吴小俊，冯振华（2012）. 改进的动态模糊神经网络及其在人脸识别中的应用. 《计算机应用与软件》.
342. 夏瑜，吴小俊（2012）. 球粒子滤波视频跟踪算法. 《模式识别与人工智能》.
343. 夏瑜，吴小俊，冯振华（2012）. 基于特征贡献度的mean shift视频跟踪算法. 《控制与决策》.DOI
344. Chao Gao, Xiao‐Jun Wu (2012). Kernel Support Tensor Regression. Procedia Engineering.DOI
345. Tao Wu, Xiao‐Jun Wu, Xing Liu, Xiaoqing Luo (2012). New Method using Feature Level Image Fusion and Entropy Component Analysis for Multimodal Human Face Recognition. Procedia Engineering.DOI
346. Tao Zhou, Xiao‐Jun Wu, Tao Wu, Zhenhua Feng (2012). An Improved AAM Method for Extracting Human Facial Features. Journal of Applied Mathematics.DOI
347. Tao Wu, Xiao‐Jun Wu, Xiaoqing Luo (2012). A Study on Fusion of Different Resolution Images. Procedia Engineering.DOI
348. Xiaoqing Luo, Xiao‐Jun Wu (2012). Medical image fusion based on pulse coupled neural networks and multi-feature fuzzy clustering. Journal of Biomedical Science and Engineering.DOI
349. Xiaoqing Luo, Xiao‐Jun Wu, Zhancheng Zhang (2012). A Novel Framework about Multi-focus Image Fusion. Communications in computer and information science.DOI
350. Xiao‐Jun Wu (2012). Novel fusion algorithm based on entropy component analysis. Laser & Infrared.
351. Jun Sun, Wei Fang, Xiaojun Wu, Choi-Hong Lai, Wenbo Xu (2011). Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization. Expert Systems With Applications, Vol. 38, No. 6.DOI
352. 梅蓉蓉，吴小俊，冯振华（2011）. 基于状态估计的张量分解人脸识别方法. 《计算机工程与应用》.
353. 程起才，王洪元，吴小俊，刘锁兰（2011）. 一种基于ISOMAP的分类算法. 《控制与决策》.
354. 冯宗翰，吴小俊（2011）. 基于迹比准则与+L-R方法的特征选择算法. 《计算机工程》.
355. Xing Liu, Xiao‐Jun Wu (2011). ECA and 2DECA: Entropy contribution based methods for face recognition inspired by KECA. International Conference of Soft Computing and Pattern Recognition (SoCPaR).DOI
356. Hai-Xiao Cui, Xiao‐Jun Wu, Xiaoqing Luo (2011). A Suboptimal CI Algorithm and its Application to Distributed Target Tracking. International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES).DOI
357. Caozhe Li, W. Yuan, Alan Conrad Bovik, Xiao‐Jun Wu (2011). No-reference blur index using blur comparisons. Electronics Letters.DOI
358. Xiao‐Jun Wu (2011). Image registration based on block mutual information. Computer Engineering and Applications Journal.
359. Xiao‐Jun Wu (2011). Novel detection algorithm for infrared small and weak targets based on multi-feature. Computer Engineering and Applications Journal.
360. 罗晓清，吴小俊（2010）. 一种基于区域相似性的图像融合评价方法. 《电子学报》.
361. 束鑫，吴小俊，潘磊（2010）. 基于最小外接圆补偿机制的形状图像检索. 《计算机科学》.
362. 束鑫，潘磊，吴小俊（2010）. 综合加权骨架段特征的形状图像检索. 《计算机科学》.
363. 高翠芳，吴小俊，张松顺（2010）. 改进的半监督模糊聚类算法. 《控制与决策》.
364. 祁宏宇，吴小俊，王士同，杨静宇（2010）. 一种协同的FCPM模糊聚类算法. 《模式识别与人工智能》.
365. Xiaoning Song, Jingyu Yang, Xiao‐Jun Wu, Xibei Yang (2010). An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. Soft Computing.DOI
366. Xiaoqing Luo, Xiao‐Jun Wu, Xiaoqing Luo (2010). New metric of image fusion based on region similarity. Optical Engineering.DOI
367. Xiaoning Song, Xibei Yang, Jingyu Yang, Xiao‐Jun Wu, Yujie Zheng (2010). Discriminant analysis approach using fuzzy fourfold subspaces model. Neurocomputing.DOI
368. Xiao‐Jun Wu (2010). An Evaluation Method of Image Fusion Based on Region Similarity. Dianzi xuebao.
369. Xiao‐Jun Wu (2010). Improved algorithm of active learning support vector machine based on probability. Computer Engineering and Applications Journal.
370. Xiao‐Jun Wu (2010). Facial Expression Recognition Based on Improved United Model. Jisuanji gongcheng.
371. Xiao‐Jun Wu (2010). Face Gender Classification Method Based on Improved Eigenspace Separation Transform. Jisuanji gongcheng.
372. Xiao‐Jun Wu (2010). Segmentation of remote sensing image using GHSOM. Computer Engineering and Applications Journal.
373. 戴欢，吴小俊（2009）. 基于统计不相关矢量集的独立成分分析. 《计算机工程》.
374. 范燕，宋晓宁，吴小俊，杨静宇（2009）. 快速核Foley-Sammon鉴别分析及其在人脸识别上的应用. 《计算机科学》.
375. 夏瑜，吴小俊，王士同，杨静宇（2009）. 视觉跟踪中模板匹配相似度指标研究. 《计算机应用研究》.
376. 杨习贝，杨静宇，吴小俊，於东军，宋晓宁（2009）. 不完备系统中基于优势关系的最优可信规则获取. 《小型微型计算机系统》.
377. 刘丽，须文波，吴小俊（2009）. 基于全局粒子群的协作型人工免疫网络优化算法. 《模式识别与人工智能》.
378. 乔晓芳，吴小俊，王士同，杨静宇（2009）. 多尺度模糊加权角点检测新算法研究. 《控制与决策》.
379. 陈亮，吴小俊，王士同，杨静宇（2009）. 基于常增益组合滤波器的目标跟踪算法. 《计算机应用与软件》.
380. 袁宁，吴小俊，王士同，杨静宇，Josef Kittler（2009）. 基于模块化2DPCA和CSKDA的人脸验证. 《计算机工程》.
381. 范燕，郑宇杰，吴小俊，杨静宇（2009）. 对称LDA及其在人脸识别中的应用. 《计算机工程》.
382. 赵智勇，吴小俊，王士同，杨静宇（2009）. 基于CHNN的机动多目标跟踪算法及其参数特性研究. 《计算机工程与设计》.
383. 李建刚，吴小俊（2009）. 基于Box-Cox变换的分类器性能改进. 《计算机工程》.
384. 桑庆兵，吴小俊（2009）. 基于BHO的网站过滤系统研究与实现. 《计算机工程与应用》.
385. Xiao‐Jun Wu, Zhenhua Feng (2009). Shape Model's Alignment Algorithm with Global Shear Transformation. Chinese Conference on Pattern Recognition.DOI
386. Xiaoning Song, Yujie Zheng, Xiao‐Jun Wu, Xibei Yang, Jing-yu Yang (2009). A complete fuzzy discriminant analysis approach for face recognition. Applied Soft Computing.DOI
387. Xiao‐Jun Wu (2009). 2D-CCA based on pseudoinverse technique. IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA).DOI
388. Xiao‐Jun Wu, Shitong Wang, Josef Kittler, Kieron Messer, Jing-Yu Yang (2009). A theoretical result of a support vector machine formulation to LDA. IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA).DOI
389. Xiaoqing Luo, Xiao‐Jun Wu (2009). A Novel Fusion Detection Algorithm for Infrared Small Targets.DOI
390. Xiao‐Jun Wu (2009). Improvement of Classifier Performance Based on Box-Cox Transformation. Jisuanji gongcheng.
391. Xiao‐Jun Wu (2009). SAR Image Denoising Based on Contourlet Domain PCA Analysis. Jisuanji fangzhen.
392. Xiao‐Jun Wu (2009). Improved Active Support Vector Machine Algorithm and Its Application. Jisuanji gongcheng.
393. Xiao‐Jun Wu (2009). Particle Filter Algorithm for Visual Tracking Based on MCD and Partial Linear Gaussian Models.
394. 祁宏宇，吴小俊，王士同，杨静宇（2008）. 基于特征选择和协同模糊聚类的模糊建模研究. 《计算机工程与应用》.
395. 邵俊，吴小俊，王士同，杨静宇（2008）. 基于代数特征与粗糙集相结合的特征提取方法. 《计算机工程》.
396. 袁宁，吴小俊，王士同，杨静宇，Josef Kittler（2008）. 一种模块化2DPCA和CSLDA相结合的人脸验证算法. 《计算机研究与发展》.
397. 李爱军，吴小俊（2008）. 一种模糊算法及其在多假设多目标跟踪中的应用. 《计算机工程与应用》.
398. Marco Loog, Xiao‐Jun Wu, Jing Lü, J.-Y. Yang, S. T. Wang, Josef Kittler (2008). A note on an extreme case of the generalized optimal discriminant transformation. Neurocomputing.DOI
399. 段先华，吴小俊，夏德深（2007）. 带标记线的心脏MRI图像分割方法. 《计算机应用研究》.
400. 吴小俊，郑宇杰 杨静宇 吴小俊 李勇智（2007）. 基于模糊集理论的二维线性鉴别分析新方法. 《中国工程科学》, Vol. 9, No. 2.下载原文
401. Xiao‐Jun Wu, SU Dong-xue, Xiaoqing Luo, Shitong Wang, Jing-Yu Yang (2007). A new similarity function for region based image fusion incorporating Gabor filters and fuzzy c-means clustering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
402. Xiao‐Jun Wu (2007). Study on a Hybrid Algorithm of Maneuvering Multi-target Tracking. Aeronautical Computing Technique.
403. Xiao‐Jun Wu (2007). A new method for muti-focus image fusion based on contourlet transform and region. Chinese Journal of Stereology and Image Analysis.
404. 郑宇杰，杨静宇，吴小俊，於东军（2006）. 基于对称ICA的特征抽取方法及其在人脸识别中的应用. 《模式识别与人工智能》.
405. 郑宇杰，杨静宇，吴小俊，王卫东，张丽丽（2006）. 一种新的核线性鉴别分析算法及其在人脸识别上的应用. 《计算机科学》.
406. 郑宇杰，於东军，杨静宇，吴小俊，王卫东（2006）. 一种基于ICA和LDA组合的人脸识别新方法. 《计算机科学》.
407. Xiao‐Jun Wu, Jieping Lu, Jing-Yu Yang, Shitong Wang, Josef Kittler (2006). An extreme case of the generalized optimal discriminant transformation and its application to face recognition. Neurocomputing.DOI
408. Xiao‐Jun Wu, Shitong Wang, Yujie Zheng, Dong-Jun Yu, SU Dong-xue, Yang Jing-yu, Xiuqing Ni (2006). A Study on An Improved Algorithm of Self-Adaptive Clustering Network. World Congress on Intelligent Control and Automation.DOI
409. 吴小俊，杨静宇，王士同，Josef Kittler（2004）. 广义统计不相关最优鉴别矢量集的一个理论结果. 《电子学报》.
410. 高尚，韩斌，吴小俊，杨静宇（2004）. 求解旅行商问题的混合粒子群优化算法. 《控制与决策》.
411. 吴小俊，杨静宇，王士同，刘同明（2004）. 基于模糊神经网络的人脸识别方法研究. 《计算机工程与科学》.
412. 刘同明，黄永峰，吴小俊（2004）. 用数据挖掘技术分析融合系统的性能. 《小型微型计算机系统》.
413. 高尚，杨静宇，吴小俊，刘同明（2004）. 圆排列问题的蚁群模拟退火算法. 《系统工程理论与实践》, Vol. 24, No. 8.下载原文
414. 吴小俊，吴小俊 杨静宇 王士同 刘同明（2004）. 统计不相关最佳鉴别矢量集的本质研究. 《中国工程科学》, Vol. 6, No. 2.下载原文
415. 吴小俊，杨静宇，王士同，刘同明（2003）. 广义DKL变换及其在人脸识别中的应用研究. 《计算机科学》.
416. 王敏，王士同，吴小俊（2003）. 新模糊形态学联想记忆网络的初步研究. 《电子学报》.
417. 吴小俊，杨静宇，郭跃飞，王士同，刘同明（2003）. 基于扰动方法的广义最佳鉴别矢量集求解的一种迭代算法. 《小型微型计算机系统》.
418. 吴小俊，王士同，曹奇英（2002）. 一种改进的模糊-统计混合聚类算法研究. 《计算机应用与软件》.
419. 吴小俊，曹奇英，刘同明，陈保香，黄力明，刘以安（2000）. Max—Product型模糊Hopfield网络稳定性及其聚类方法研究. 《小型微型计算机系统》.
420. 吴小俊，曹奇英（2000）. 基于Bayes估计的多传感器数据融合方式研究. 《系统工程理论与实践》, Vol. 20, No. 7.下载原文
421. 於东军，王士同，吴小俊（1999）. 层次径向基神经网络的全局逼近理论. 《计算机研究与发展》.

预印本

1. Zhongqi Cui, Tianyang Xu, Xiao‐Jun Wu (2025). Depthsort: Multi-Object Tracking Optimization for Unreliable Detection with Depth Estimation. SSRN Electronic Journal.DOI
2. Hengyang Lu, Xin Guo, Wenyu Jiang, Chenyou Fan, Yuntao Du, Zhenhao Shao, Wei Fang, Xiaojun Wu (2025). Musia: Exploiting Multi-Source Information Fusion with Abnormal Activations for Out-of-Distribution Detection. SSRN Electronic Journal.DOI
3. Wen Li, Xiaoning Song, Wenjie Zhang, Hua Yang, Xiao‐Jun Wu (2024). Link Prediction via Adversarial Knowledge Distillation and Feature Aggregation. Research Square.DOI
4. Ziheng Chen, Yue Song, Rui Wang, Xiao‐Jun Wu, Nicu Sebe (2024). RMLR: Extending Multinomial Logistic Regression into General Geometries. arXiv (Cornell University).DOI
5. Ziheng Chen, Yue Song, Xiao‐Jun Wu, Nicu Sebe (2024). Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry. arXiv (Cornell University).DOI
6. Chenjia Yang, Xiaoqing Luo, Zhancheng Zhang, Zhiguo Chen, Xiao‐Jun Wu (2024). Kdfuse: A High-Level Vision Task-Driven Infrared and Visible Image Fusion Method Based on Cross-Domain Knowledge Distillation. SSRN Electronic Journal.DOI
7. Ziheng Chen, Song, Yue, Xiaojun Wu, Gaowen Liu, Nicu Sebe (2024). Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. arXiv (Cornell University).DOI
8. Cong Wu, Xiaojun Wu, Tianyang Xu, Josef Kittler (2024). An Improved Graph Pooling Network for Skeleton-Based Action Recognition. arXiv (Cornell University).DOI
9. Yaozong Mo, Chao‐Feng Li, Wenqi Ren, Wenwu Wang, Xiaojun Wu (2024). Unpaired Overwater Image Defogging Using Prior Map Guided Cycle-Consistent Generative Adversarial Network. SSRN Electronic Journal.DOI
10. Chunyang Cheng, Tianyang Xu, Xiao‐Jun Wu, Hui Li, Xi Li, Zhangyong Tang, Josef Kittler (2023). TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion. arXiv (Cornell University).DOI
11. Jun Sun, Zhang, Wancheng, Chao Zhou, Zhongjie Mao, Chao Li, Xiao‐Jun Wu (2023). Feature Space Renormalization for Semi-supervised Learning. arXiv (Cornell University).DOI
12. Xuefeng Zhu, Tianyang Xu, Jian ping Zhao, Jiawei Liu, Kai Wang, Gang Wang, Jianan Li, Qiang Wang, Lei Jin, Zheng Dong Zhu, Junliang Xing, Xiao‐Jun Wu (2023). Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System. arXiv (Cornell University).DOI
13. Xuefeng Zhu, Tianyang Xu, Xiao‐Jun Wu, Josef Kittler (2023). Feature Enhancement and Coarse-to-Fine Detection for Rgb-D Tracking. SSRN Electronic Journal.DOI
14. Han Miao, Qingbing Sang, Xiao‐Jun Wu, Zhaohong Deng (2023). A Ranking-Based Self-Supervised Learning Training Method for No-Reference Image Quality Assessment. SSRN Electronic Journal.DOI
15. Rongchang Li, Tianyang Xu, Xiao‐Jun Wu, Linze Li, Xiao Ping Yang, Zhongwei Shen, Josef Kittler (2023). M-Adapter: Multi-Level Image-to-Video Adaptation for Video Action Recognition. SSRN Electronic Journal.DOI
16. Yu Fu, Tianyang Xu, Xiao‐Jun Wu (2022). A Deep Decomposition Network for Image Processing: A Case Study of Image Fusion. SSRN Electronic Journal.DOI
17. Rong-Chang Li, Xiao‐Jun Wu, Tianyang Xu (2021). Video Is Graph: Structured Graph Module for Video Action Recognition. arXiv (Cornell University).DOI
18. Yu Fu, Tianyang Xu, Xiao‐Jun Wu, Josef Kittler (2021). PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion. arXiv (Cornell University).DOI
19. Yu Fu, Xiao‐Jun Wu (2021). A Dual-branch Network for Infrared and Visible Image Fusion. arXiv (Cornell University).DOI
20. Qingbei Guo, Xiao‐Jun Wu, Josef Kittler, Zhiquan Feng (2020). Self-grouping Convolutional Neural Networks. arXiv (Cornell University).DOI
21. Jingqiao Zhao, Zhenhua Feng, Qiuqiang Kong, Xiaoning Song, Xiao‐Jun Wu (2020). DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification. arXiv (Cornell University).DOI
22. He-Feng Yin, Xiao‐Jun Wu, Zhenhua Feng, Josef Kittler (2020). Affine Non-negative Collaborative Representation Based Pattern Classification. arXiv (Cornell University).DOI
23. Tianyang Xu, Zhenhua Feng, Xiao‐Jun Wu, Josef Kittler (2020). AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking. arXiv (Cornell University).DOI
24. Huai-Shui Tong, Xiao‐Jun Wu, Hui Li (2020). Improved dual channel pulse coupled neural network and its application to multi-focus image fusion. arXiv (Cornell University).DOI
25. Xing Liu, Xiao‐Jun Wu, Ziqi Li (2019). 2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm. arXiv (Cornell University).DOI
26. Kai Xu, Xiao‐Jun Wu, Wenbo Hu (2019). Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering. arXiv (Cornell University).DOI
27. Pei Zhang Xie, He-Feng Yin, Xiao‐Jun Wu (2019). Low-rank representations with incoherent dictionary for face recognition. arXiv (Cornell University).DOI
28. He-Feng Yin, Xiao‐Jun Wu, Josef Kittler (2019). Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning. arXiv (Cornell University).DOI
29. Zhe Chen, Xiao‐Jun Wu, Josef Kittler (2019). Transition Subspace Learning based Least Squares Regression for Image Classification. arXiv (Cornell University).DOI
30. Zhe Chen, Xiao‐Jun Wu, Josef Kittler (2019). Low-Rank Discriminative Least Squares Regression for Image Classification. arXiv (Cornell University).DOI
31. Zhe Chen, Xiao‐Jun Wu, Josef Kittler (2019). Fisher Discriminative Least Squares Regression for Image Classification. arXiv (Cornell University).DOI
32. Rui Wang, Xiao‐Jun Wu, Kaixuan Chen, Josef Kittler (2018). Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification. arXiv (Cornell University).DOI
33. Hui Li, Xiao‐Jun Wu, Durrani, Tariq (2018). Multi-focus Noisy Image Fusion using Low-Rank Representation. arXiv (Cornell University).DOI
34. Hui Li, Xiao‐Jun Wu (2018). Infrared and visible image fusion using Latent Low-Rank Representation. arXiv (Cornell University).DOI
35. Zhenhua Feng, Patrik Huber, Josef Kittler, Peter Hancock, Xiao‐Jun Wu, Qijun Zhao, Paul Koppen, Matthias Rätsch (2018). Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild. arXiv (Cornell University).DOI
36. Yu Yanga, Xiaojun Wu, Josef Kittler (2018). Landmark Weighting for 3DMM Shape Fitting. arXiv (Cornell University).DOI
37. Zhenhua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao‐Jun Wu (2017). Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild. arXiv (Cornell University).DOI

书籍章节

1. Xiaoqi Sun, Xiao‐Jun Wu, Jun Sun, Philippe Montesinos (2013). Hybrid Client Specific Discriminant Analysis and its Application to Face Verification. Smart innovation, systems and technologies.DOI