Dr. Tieniu Tan received his BSc degree in electronic engineering from Xi'an Jiaotong University, China, in 1984, and his MSc and PhD degrees in electronic engineering from Imperial College London, U.K., in 1986 and 1989, respectively. In October 1989, he joined the Computational Vision Group at the Department of Computer Science, The University of Reading, Reading, U.K., where he worked as a Research Fellow, Senior Research Fellow and Lecturer. In January 1998, he returned to China to join the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of the Chinese Academy of Sciences (CAS), Beijing, China, where he is currently a Professor and the director of Center for Research on Intelligent Perception and Computing (CRIPAC), and was former director (1998-2013) of the NLPR and Director General of the Institute (2000-2007). He is currently also Deputy Director of Liaison Office of the Central People’s Government in the Hong Kong S.A.R. He has published 15 edited books or monographs and more than 600 research papers in refereed international journals and conferences in the areas of image processing, computer vision and pattern recognition. His current research interests include biometrics, image and video understanding, and information content security.
Dr. Tan is a Fellow of CAS, TWAS (The World Academy of Sciences for the advancement of science in developing countries), IEEE and IAPR (the International Association of Pattern Recognition), Corresponding Member of Brazil Academy of Sciences, and an International Fellow of the UK Royal Academy of Engineering. He has served as chair or program committee member for many major national and international conferences. He is or has served as Associate Editor or member of editorial boards of many leading international journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Pattern Recognition Letters, Image and Vision Computing, etc. He is Editor-in-Chief of the Machine Intelligence Research. He was founding chair of the IAPR Technical Committee on Biometrics, the IAPR-IEEE International Conference on Biometrics, the IEEE International Workshop on Visual Surveillance and Asian Conference on Pattern Recognition (ACPR). He served as the President of the IEEE Biometrics Council, the President of China Society of Image and Graphics, and the Deputy President of Chinese Association for Artificial Intelligence. He has given invited talks and keynotes at many universities and international conferences, and has received many national and international awards and recognitions.

Computer vision, biometrics, cyber data analysis and security

King-Sun Fu Prize, 2022
The first prize of the natual science award of China Society of Image Graphics Society, 2021
The second prize of the techological invention award of China Society of Image Graphics Society, 2021
The second prize of the science and technology progress award of China Society of Image Graphics Society, 2021
ICPR 2020 Best Scientific Paper Award, 2020
CSIG Fellow, 2019-
The second prize of Beijing Science and Technology Award, 2018
ICPR Best paper, 2018
Honorary Doctorate of York University, 2017
CAAI Fellow, 2017
“Best Biometric Student Paper Award” in the 9th IAPR International Conference on Biometrics, 2016
Corresponding Member of Brazil Academy of Sciences, 2016
Fellow of TWAS (The World Academy of Sciences for the advancement of science in developing countries), 2014
International Fellow of the Royal Academy of Engineering, 2014
CAS academician, 2013
Outstanding Supervisor Award of GUCAS, 2011
The Second Prize of National Science and Technology Progress Award, 2011
Honourable Mention for Classification Method in PASCAL Visual Object Classes Challenge (VOC 2011)
Joint Winner for Detection Method in PASCAL Visual Object Classes Challenge (VOC 2011)
The First Place of Noisy Iris Challenge Evaluation, Part II (NICE.II), 2010
Winner for Detection Method in PASCAL Visual Object Classes Challenge (VOC 2010)
Honourable Mention for Classification Method in PASCAL Visual Object Classes Challenge (VOC 2010)
The 12th China Patent Award (Outstanding Patent–Visual Surveillance), 2010
Beijing Patent Award (the second class prize), 2010
The 11th China Patent Award (Outstanding Patent–Iris Recognition), 2009
The First Place of Noisy Iris Challenge Evaluation, Part I (NICE.I), 2009
The third Prize of Beijing Science & Technology, 2008
IAPR Fellow, 2006-
The Second Prize of National Science and Technology Progress Award, 2005
IEEE Fellow, 2004-
The first prize of Beijing Science and Technology Award, 2004
The third prize of Beijing Science and Technology Award, 2004
The Second Prize of National Natural Science Award, 2004
National Outstanding Youth Award, 1999
BMVC96 Poster Prize of British Machine Vision Association and Society for Pattern Recognition (BMVA), 1996

Honorary Chairman, China Society of Image and Graphics, 2020-
Editor-in-Chief, Machine Intelligence Research, 2004-
Member of Advisory Board, IET Image Processing, 2017-
IAPR Fellow, 2006-
IEEE Fellow, 2004-
CAAI Fellow, 2017-
CSIG Fellow, 2019-

Selected journal articles
1. T. N. Tan, K. D. Baker and G. D. Sullivan, “Model-Independent Object Orientation Determination,” IEEE Trans. on Robotics and Automation, vol. 13, no. 4, pp. 602-606, 1997.
2. T. N. Tan, G. D. Sullivan and K. D. Baker, “Model-Based Localisation and Recognition of Road Vehicles,” International Journal of Computer Vision, vol. 27, no. 1, pp. 5-25, 1998.
3. T. N. Tan, “Rotation Invariant Texture Features and Their Use in Automatic Script Identification,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 20, no. 7, pp. 751-756, 1998.
4. T. N. Tan and K. D. Baker, “Efficient Image Gradient-Based Vehicle Localization,” IEEE Trans. on Image Processing, vol. 9, no. 8, pp. 1343-1356, 2000.
5. S. J. Maybank and T. N. Tan, “Introduction to Special Section on Visual Surveillance,” International Journal of Computer Vision, vol. 37, no. 2, pp. 173-173, 2000.
6. Y. Zhu, T. N. Tan and Y. Wang, “Font Recognition Based on Global Texture Analysis,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 23, no. 10, pp. 1192-1200, 2001.
7. R. Z. Liu and T. N. Tan, “An SVD-Based Watermarking Scheme for Protecting Rightful Ownership,” IEEE Trans. on Multimedia, vol. 4, no. 1, pp. 121-128, 2002.
8. Liang Wang, Tieniu Tan, Huazhong Ning and Weiming Hu, “Automatic Gait Recognition Based on Statistical Shape Analysis,” IEEE Trans. on Image Processing, vol. 12, no. 9, pp. 1120-1131, 2003.
9. Liang Wang, Tieniu Tan, Huazhong Ning and Weiming Hu, “Silhouette Analysis-Based Gait Recognition for Human Identification,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 25, no. 12, pp. 1505-1518, 2003.
10. L. Ma, T. Tan, Y. Wang and D. Zhang, “Personal Identification Based on Iris Texture Analysis,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 25, no. 12, pp.1519-1533, 2003.
11. Weiming Hu, Dan Xie and Tieniu Tan, “A Hierarchical Self-Organizing Approach for Learning the Patterns of Motion Trajectories,” IEEE Trans. on Neural Networks, vol. 15, no. 1, pp. 135-144, 2004.
12. Liang Wang, Huangzhong Ning, Tieniu Tan and Weiming Hu, “Fusion of Static and Dynamic Body Biometrics for Gait Recognition,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 149-158, 2004.
13. Li Ma, Tieniu Tan, Yunhong Wang and Dexin Zhang, “Efficient Iris Recognition by Characterizing Key Local Variations,” IEEE Trans. on Image Processing, vol. 13, no. 6, pp. 739- 750, 2004.
14. Zhenan Sun, Yunhong Wang, Tieniu Tan and Jiali Cui, “Improving Iris Recognition Accuracy via Cascaded Classifiers,” IEEE Trans. on Systems, Man and Cybernetics-Part C, vol. 35, no. 3, pp. 435-441, 2005.
15. Jianguang Lou, Tieniu Tan, Weiming Hu, Hao Yang and Steven Maybank, “3-D Model-based Vehicle Tracking,” IEEE Trans. on Image Processing, vol. 14, no. 10, pp. 1561-1569, 2005.
16. Weiming Hu, Min Hu, Tieniu Tan and Jianguang Lou, “Principal Axis-Based Correspondence Between Multiple Cameras for People Tracking,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 4, pp. 1-9, 2006.
17. Salil Prabhakar, Josef Kittler, Davide Maltoni, Lawrence O'Gorman and Tieniu Tan, “Introduction to the Special Issue on Biometrics: Progress and Directions,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 29, no. 4, pp. 513-516 , 2007.
18. Zhenan Sun and Tieniu Tan, “Ordinal Measures for Iris Recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 12, pp. 2211-2226, 2009.
19. Zhaofeng He, Tieniu Tan, Zhenan Sun and Xianchao Qiu, “Toward Accurate and Fast Iris Segmentation for Iris Biometrics,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 9, pp. 1670-1684, 2009.
20. Shiqi Yu, Tieniu Tan, Kaiqi Huang, Kui Jia and Xinyu Wu, “A Study on Gait-Based Gender Classification,” IEEE Trans. on Image Processing, vol. 18, no.  8, pp. 1905-1910, 2009.
21. Kaiqi Huang, Shiquan Wang, Tieniu Tan and Stephen J. Maybank, “Human Behavior Analysis Based on a New Motion Descriptor,” IEEE Trans. on Circuits and Systems for Video Technology, vol.19, no.12, pp. 1830-1840, 2009.
22. Kaiqi Huang, Dacheng Tao, Yuan Yuan, Xuelong Li and Tieniu Tan, “View-Independent Behavior Analysis,” IEEE Trans. on Systems, Man and Cybernetics, Part B, vol. 39, no. 4, pp. 1028-1035, 2009.
23. Zhang Zhang, Tieniu Tan and Kaiqi Huang, “An Extended Grammar System for Learning and Recognizing Complex Visual Events,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 33, no. 2, pp. 240-255, 2011.
24. Kaiqi Huang, Dacheng Tao, Yuanyan Tang, Xuelong Li and Tieniu Tan, “Biologically Inspired Features for Scene Classification in Video Surveillance,” IEEE Trans. on Systems, Man and Cybernetics, Part B, vol. 41,no. 1, pp. 307-313, 2011
25. Wenbo Dong, Tieniu Tan and Zhenan Sun, “Iris Matching Based on Personalized Weight Map,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 33, no. 9, pp. 1744-1757, 2011.
26. Yongzhen Huang, Kaiqi Huang, Dacheng Tao, Tieniu Tan and Xuelong Li, “Enhanced Biologically Inspired Model for Object Recognition,” IEEE Trans. on Systems, Man and Cybernetics, Part B, vol. 41, no. 6, pp. 1668-1680, 2011.
27. Zhaoxiang Zhang, Tieniu Tan, Kaiqi Huang and Yunhong Wang, “Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles,” IEEE Trans. on Image Processing, vol. 21, no. 1, pp. 1-13, 2012.
28. Yinan Yu, Kaiqi Huang, Wei Chen and Tieniu Tan, “A Novel Algorithm for View and Illumination Invariant Image Matching,” IEEE Trans. on Image Processing, vol. 21, no. 1, pp. 229-240, 2012.
29. Kaiqi Huang, Yeying Zhang and Tieniu Tan, “A Discriminative Model of Motion and Cross Ratio for View-Invariant Action Recognition,” IEEE Trans. on Image Processing, vol. 21, no. 4, pp. 2187-2197, 2012.
30. Min Li, Tieniu Tan, Wei Chen and Kaiqi Huang, “Efficient Object Tracking by Incremental Self-Tuning Particle Filtering on the Affine Group,” IEEE Trans. on Image Processing, vol. 21, no. 3, pp. 1298-1313, 2012.
31. Zhou Liu, Kaiqi Huang and Tieniu Tan, “Cast Shadow Removal in a Hierarchical Manner Using MRF,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 22, no. 1, pp. 56-66, 2012.
32. Zhou Liu, Kaiqi Huang and Tieniu Tan,“Foreground Object Detection Using Top-Down Information Based on EM Framework,” IEEE Trans. on Image Processing, vol.21, no.9, pp.4204-4217, 2012.
33. Zhaoxiang Zhang, Tieniu Tan, Kaiqi Huang and Yunhong Wang, “Practical Camera Calibration from Moving Objects for Traffic Scene Surveillance,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 23, no. 3, pp. 518-533, 2013.
34. Ran He, Tieniu Tan and Liang Wang, “Robust Recovery of Corrupted Low-Rank Matrix by Implicit Regularizers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 4, pp. 770-783, 2014.
35. Ran He, Wei-Shi Zheng, Tieniu Tan and Zhenan Sun, “Half-Quadratic Based Iterative Minimization for Robust Sparse Representation,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 2, pp. 261-275, 2014.
36. Zhenan Sun, Hui Zhang, Tieniu Tan and Jianyu Wang, “Iris Image Classification Based on Hierarchical Visual Codebook,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 6, pp. 1120-1133, 2014.
37. Yongzhen Huang, Zifeng Wu, Liang Wang and Tieniu Tan, “Feature Coding in Image Classification: A Comprehensive Study,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 3, pp. 493-506, 2014.
38. Zhenhua Chai, Zhenan Sun, Heydi Méndez-Vázquez, Ran He and Tieniu Tan, “Gabor Ordinal Measures for Face Recognition,” IEEE Trans. on Information Forensics and Security, vol. 9, no. 1, pp. 14-26, 2014. 
39. Wei Wang, Jing Dong and Tienu Tan, “ Exploring DCT Coefficient Quantization Effects for Local Tampering Detection,” IEEE Trans. on Information Forensics and Security, vol. 9, no. 10, pp. 1653-1666, 2014.
40. Zhenan Sun, Libin Wang and Tieniu Tan, “Ordinal Feature Selection for Iris and Palmprint Recognition,” IEEE Trans. on Image Processing, vol. 23, no. 9, pp. 3922-3934, 2014. 
41. Michele Nappi, Vincenzo Piuri, Tieniu Tan and David Zhang, “Introduction to the Special Section on Biometric Systems and Applications,” IEEE Trans. on Systems, Man and Cybernetics, Systems, vol. 44, No. 11, pp. 1457-1460, 2014.
42. Weiqiang Ren, Kaiqi Huang, Dacheng Tao and Tieniu Tan, “Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 2, pp. 405-416, 2016.
43. Jie Gui, Tongliang Liu, Dacheng Tao, Zhenan Sun and Tieniu Tan, “Representative Vector Machines: A Unified Framework for Classical Classifiers,” IEEE Trans. on Cybernetics, vol. 46, no. 8, pp. 1877-1888, 2016. 
44. Yunlian Sun, Kamal Nasrollahi, Zhenan Sun and Tieniu Tan, “Complementary Cohort Strategy for Multimodal Face Pair Matching,” IEEE Trans. on Information Forensics and Security, vol. 11, no. 5, pp. 937-950, 2016.
45. Kaiye Wang, Ran He, Liang Wang, Wei Wang and Tieniu Tan, “Joint Feature Selection and Subspace Learning for Cross-modal Retrieval,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 10, pp. 2010-2023, 2016.
46. Fang Zhao, Yongzhen Huang, Liang Wang, Tao Xiang and Tieniu Tan, “Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding,” International Journal of Computer Vision, vol. 119, no. 3, pp. 329-345, 2016.
47. Shu Wu, Qiang Liu, Liang Wang and Tieniu Tan, “Contextual Operation for Recommender Systems,” IEEE Trans. on Knowledge and Data Engineering, vol. 28, no. 8, pp. 2000-2012, 2016.
48. Jie Gui, Zhenan Sun, Shuiwang Ji, Dacheng Tao and Tieniu Tan, “Feature Selection Based on Structured Sparsity: A Comprehensive Study,” IEEE Trans. on Neural Networks and Learning Systems, vol. 28, no. 7, pp. 1490-1507, 2017.
49. Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang and Tieniu Tan, “A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 2, pp. 209-226, 2017.
50. Kaiqi Huang, Tieniu Tan, Stephen J. Maybank, Rama Chellappa and Jake Aggarval, “Guest Editorial Introduction to the Special Issue on Large-Scale Video Analytics for Enhanced Security: Algorithms and Systems,” IEEE Trans. on Systems, Man, and Cybernetics: Systems, vol. 47, no. 4, pp. 589-592, 2017.
51. Pengcheng Liu, Peipei Yang, Chong Wang, Kaiqi Huang and Tieniu Tan, “A Semi-Supervised Method for Surveillance-Based Visual Location Recognition,” IEEE Trans. on Cybernetics, vol. 47, no. 11, pp. 3719-3732, 2017.
52. Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “Conditional High-Order Boltzmann Machines for Supervised Relation Learning,” IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4297-4310, 2017.
53. Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Optimized 3D Lighting Environment Estimation for Image Forgery Detection,” IEEE Trans. on Information Forensics and Security, vol. 12, no. 2, pp. 479-494, 2017.
54. Nianfeng Liu, Jing Liu, Zhenan Sun and Tieniu Tan, “A Code-Level Approach to Heterogeneous Iris Recognition,” Trans. on Information Forensics and Security, vol. 12, no. 10, pp. 2373-2386, 2017.
55. Bo Peng, Wei Wang, Jing Dong and Tieniu Tan, “Image Forensics Based on Planar Contact Constraints of 3D Objects,” IEEE Trans. on Information Forensics and Security, vol. 13, no. 2, pp. 377-392, 2018.
56. Shu Zhang, Ran He, Zhenan Sun and Tieniu Tan, “DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification,” IEEE Trans. on Information Forensics and Security, vol. 13, no. 3, pp. 637-647, 2018.
57. Yunlian Sun, Man Zhang, Zhenan Sun and Tieniu Tan, “Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp. 332-351, 2018.
58. Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Fast Supervised Discrete Hashing,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp. 490-496, 2018.
59. Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Supervised Discrete Hashing with Relaxation,” IEEE Trans. on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 608-617, 2018.
60. Yunlong Wang, Fei Liu, Kunbo Zhang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution,” IEEE Trans. on Image Processing, vol. 27, no. 9, pp. 4274-4286, 2018.
61. Qi Zhang, Haiqing Li, Zhenan Sun and Tieniu Tan, “Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices,” IEEE Trans. on Information Forensics and Security, vol. 13, no. 11, pp. 2897-2912, 2018.
62. Xiang Wu, Ran He, Zhenan Sun and Tieniu Tan, “A Light CNN for Deep Face Representation with Noisy Labels,” IEEE Trans. on Information Forensics and Security, vol. 13, no. 11, pp. 2884-2896, 2018.
63. Huaibo Huang, Ran He, Zhenan Sun and Tieniu Tan, “Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination,” International Journal of Computer Vision, vol. 127, no. 6-7, pp. 763-784, 2019.
64. Jian Liang, Ran He, Zhenan Sun and Tieniu Tan, “Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 41, no. 5, pp. 1027-1042, 2019.
65. Ran He, Xiang Wu, Zhenan Sun and Tieniu Tan, “Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 41, no. 7, pp. 1761-1773, 2019.
66. Chunshui Cao, Yongzhen Huang, Yi Yang, Liang Wang, Zilei Wang and Tieniu Tan, “Feedback Convolutional Neural Network for Visual Localization and Segmentation,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 41, no. 7, pp. 1627-1640, 2019.
67. Da Li, Zhang Zhang, Kai Yu, Kaiqi Huang and Tieniu Tan, “ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance,” IEEE Trans. on Parallel and Distributed Systems, vol. 30, no.12, pp. 2743-2758, 2019.
68. Yunlong Wang, Fei Liu, Kunbo Zhang, Zilei Wang, Zhenan Sun, Tieniu Tan, “High-fidelity View Synthesis for Light Field Imaging with Extended Pseudo 4DCNN,” IEEE Trans. on Computational Imaging, vol. 6, pp. 830-842, 2020.
69. Zhen Jia, Zhang Zhang, Liang Wang, Caifeng Shan, Tieniu Tan, “Deep Unbiased Embedding Transfer for Zero-Shot Learning,” IEEE Trans. on Image Processing, vol. 29, pp. 1958-1971, 2020.
70. Fei Liu, Shubo Zhou, Yunlong Wang, Guangqi Hou, Zhenan Sun, Tieniu Tan, “Binocular Light-Field: Imaging Theory and Occlusion-Robust Depth Perception Application,” IEEE Trans. on Image Processing, vol. 29, pp. 1628-1640, 2020.
71. Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan, “Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 42, no. 5, pp. 1025-1037, 2020.
72. Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan, “Disentangled Representation Learning of Makeup Portraits in the Wild,” International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2166-2184, 2020.
73. Qi Li, Zhenan Sun, Ran He, Tieniu Tan, “A General Framework for Deep Supervised Discrete Hashing,” International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2204-2222, 2020.
74. Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan, “A(3)GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 2776-2790, 2021.
75. Xuecai Hu, Zhang Zhang, Caifeng Shan, Zilei Wang, Liang Wang, Tieniu Tan, “Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters,” IEEE Trans. on Neural Networks and Learning Systems, vol. 16, no. 9, pp. 4151-4165, 2021.
76. Huaibo Huang, Aijing Yu, Zhenhua Chai, Ran He, Tieniu Tan, “Selective Wavelet Attention Learning for Single Image Deraining,” International Journal of Computer Vision, vol. 129, no. 4, pp. 1282-1300, 2021.

Selected conference articles
1. T. N. Tan and A. G. Constantinides, “Multi-Slice Image Texture Edge Detection by Local Vector Mapping,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 1136-1139, April 1988, New York, USA.
2. T. N. Tan and A. G. Constantinides, “Texture Feature Extraction Based on Primitive Analysis,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, pp. 1683-1686, May 1989, Glasgow, Scotland.
3. T. N. Tan and A.G. Constantinides, “Texture analysis based on a human visual model,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2137–2140, April 1990, Albuquerque, NM, USA.
4. T. N. Tan, G. D. Sullivan and K. D. Baker, “Structure from Constrained Motion Using Point Correspondences,” Proc. British Machine Vision Conference, pp. 301-309, 1991, Glasgow, UK.
5. T. N. Tan, G. D. Sullivan and K. D. Baker, “Structure from Motion Using the Ground Plane Constraint,” Proc. European Conference on Computer Vision, pp. 277-281, 1992, Italy.
6. T. N. Tan, “Texture Segmentation Approaches: A Brief Review,” Proc. CIE & IEEE International Conference on Neural Networks and Signal Processing, November 1993, Guangzhou, China.
7. T. N. Tan, G. D. Sullivan and K. D. Baker, “Pose Determination and Recognition of Vehicles in Traffic Scenes,” Proc. European Conference on Computer Vision, pp. 501-506, May 1994, Sweden.
8. T. N. Tan, “Multiple Camera Data Fusion for Accurate Pose and Scale Recovery,” Proc. SPIE, vol. 2484, pp. 330-341, 1995, California, USA.
9. T. N. Tan, “Monocular Reconstruction of 3-D Bilateral Symmetrical Objects,” Proc. British Machine Vision Conference, pp. 233-242, 1996, Scotland.
10. T. N. Tan, G. D. Sullivan and K. D. Baker, “Efficient Image Gradient Based Object Localization and Recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 397-402, June 1996, SF, USA.
11. P. Remagnino, T. N. Tan and K. D. Baker, “Agent Oriented Annotation in Model Based Visual Surveillance,” Proc. IEEE International Conference on Computer Vision, pp. 857- 862, Jan 1998, Bombay, India.
12. Zhenan Sun, Tieniu Tan, Yunhong Wang and Stan Z. Li, “Ordinal Palmprint Representation for Personal Identification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 279-284, June 2005, USA.
13. Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tieniu Tan and Harry Shum, “Automatic 3D Face Modeling from Video,” Proc. IEEE International Conference on Computer Vision, vol. 2, October 2005, China.
14. Chenghua Xu, Tieniu Tan, Stan Li, Yunhong Wang and Cheng Zhong, “Learning effective intrinsic features to boost 3D-based face recognition,” Proc. European Conference on Computer Vision, pp. 416-427, May 2006, Austria.
15. Xinwen Hou, Chenglin Liu and Tieniu Tan, “Learning boosted asymmetric classifiers for object detection,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 330-335, June 2006, USA.
16. Ying Wang, Kaiqi Huang and Tieniu Tan, “Human Activity Recognition Based on R Transform,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8, June 2007, USA.
17. Zhang Zhang, Kaiqi Huang, Tieniu Tan and Liangsheng Wang, “Trajectory Series Analysis based Event Rule Induction for Visual Surveillance,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, June 2007, USA
18. Rufeng Chu, ShengCai Liao, Yufei Han, Zhenan Sun, Stan Z. Li and Tieniu Tan, “Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2007, USA.
19. Liang Liu, Yunhong Wang and Tieniu Tan, “Online Appearance Model Learning for Video-Based Face Recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2007, USA.
20. Daoliang Tan, Kaiqi Huang, Shiqi Yu and Tieniu Tan, “Recognizing Night Walkers Based on One Pseudoshape Representation of Gait,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2007, USA.
21. Zhou Liu, Kaiqi Huang, Tieniu Tan and Liangsheng Wang, “Cast Shadow Removal Combining Local and Global Features,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2007, USA.
22. Cheng Zhong, Zhenan Sun and Tieniu Tan, “Robust 3D Face Recognition Using Learned Visual Codebook,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2007, USA.
23. Zhaofeng He, Tieniu Tan, Zhenan Sun, Xianchao Qiu, Cheng Zhong and Wenbo Dong, “Boosting Ordinal Features for Accurate and Fast Iris Recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2008, USA.
24. Zhaoxiang Zhang, Min Li, Kaiqi Huang and Tieniu Tan, “Practical Camera Auto-Calibration Based on Object Appearance and Motion for Traffic Scene Visual Surveillance,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2008, USA.
25. Zhang Zhang, Kaiqi Huang and Tieniu Tan, “Multi-Thread Parsing for Recognizing Complex Events in Videos,” Proc. European Conference on Computer Vision, pp. 738-751, October 2008, France.
26. Cheng Zhong, Zhenan Sun and Tieniu Tan, “Robust 3D Face Recognition in Uncontrolled Environments,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2008, USA.
27. Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan and Xuelong Li, “Enhanced Biologically Inspired Model,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8, June 2008, USA.
28. Min Li, Wei Chen, Kaiqi Huang and Tieniu Tan, “Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1315-1322, June 2010, USA.
29. Ran He, Zhenan Sun, Tieniu Tan and Wei-Shi Zheng, “Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2889-2896, June 2011, USA.
30. Yongzhen Huang, Kaiqi Huang, Yinan Yu and Tieniu Tan, “Salient Coding for Image Classification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1753-1760, June 2011, USA.
31. Yongzhen Huang, Kaiqi Huang, Chong Wang and Tieniu Tan, “Exploring Relations of Visual Codes for Image Classification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1649-1656, June 2011, USA.
32. Junge Zhang, Kaiqi Huang, Yinan Yu and Tieniu Tan, “Boosted Local Structured HOG-LBP for Object Localization,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1394-1400, June 2011, USA.
33. Yingya Zhang, Zhenan Sun, Ran He and Tieniu Tan, “Robust Subspace Clustering via Half-Quadratic Minimization,” Proc. IEEE International Conference on Computer Vision, pp. 3096-3103, December 2013, Sydney, Australia.
34. Kaiye Wang, Ran He, Wei Wang, Liang Wang and Tieniu Tan, “Learning Coupled Feature Spaces for Cross-modal Matching,” Proc. IEEE International Conference on Computer Vision, pp. 2088-2095, December 2013, Sydney, Australia.
35. Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deformable Object Matching via Deformation Decomposition based 2D Label MRF,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2321 - 2328, June 2014, Columbus, America.
36. Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan, “Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1556-1564, June 2015, Boston USA. 
37. Man Zhang, Ran He, Dong Cao, Zhenan Sun and Tieniu Tan, “Simultaneous Feature and Sample Reduction for Image-set Classification,” Proc. AAAI Conference on Artificial Intelligence, pp. 1401-1407, February 2016, Phoenix, USA.
38. Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts,” Proc. AAAI Conference on Artificial Intelligence, pp. 194-200, February 2016, Phoenix, USA.
39. Shu Wu, Qiang Liu, Ping Bai, Liang Wang and Tieniu Tan, “SAPE: A System for Situation-Aware Public Security Evaluation,” Proc. AAAI Conference on Artificial Intelligence, pp. 4401-4402, February 2016, Phoenix, USA.
40. Shu Wu, Qiang Liu, Yong Liu, Liang Wang and Tieniu Tan, “Information Credibility Evaluation on Social Media,” Proc. AAAI Conference on Artificial Intelligence, pp. 4403-4404, February 2016, Phoenix, USA.
41. Jian Liang, Ran He, Zhenan Sun and Tieniu Tan, “Group-Invariant Cross-Modal Subspace Learning,” Proc. International Joint Conference on Artificial Intelligence, pp. 1739-1745, July 2016, New York, USA.
42. Ran He, Xiang Wu, Zhenan Sun and Tieniu Tan, “Learning Invariant Deep Representation for NIR-VIS Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, pp. 2000-2006, February 2017, San Francisco, California, USA.
43. Qi Li, Zhenan Sun, Ran He and Tieniu Tan, “Deep Supervised Discrete Hashing,” Proc. Conference on Neural Information Processing Systems (NIPS) December 2017, Long Beach, USA.
44. Feng Yu, Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “A Convolutional Approach for Misinformation Identification,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), pp. 3901-3907, August 2017, Melbourne, Australia.
45. Zhen Zhou, Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-based Person Re-identification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 6776-6785, July 2017, Honolulu, Hawaii, USA.
46. Huaibo Huang, Ran He, Zhenan Sun and Tieniu Tan, “Wavelet-SRNet: A Wavelet-based CNN for Multi-scale Face Super Resolution,” Proc. IEEE International Conference on Computer Vision, pp.1813-1821, October 2017, Venice, Italy.
47. Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang and Tieniu Tan, “DF2Net: A Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification,” Proc. AAAI Conference on Artificial Intelligence, pp. 7041-7048, February 2018, Louisiana, USA.
48. Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deep Semantic Structural Constraints for Zero-Shot Learning,” Proc. AAAI Conference on Artificial Intelligence, pp. 7049-7056, February 2018, Louisiana, USA.
49. Xiang Wu, Lingxiao Song, Ran He and Tieniu Tan, “Coupled Deep Learning for Heterogeneous Face Recognition,” Proc. AAAI Conference on Artificial Intelligence, pp. 1679-1686, February 2018, Louisiana, USA.
50. Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan, “Anti-Makeup: Learning a Bi-Level Adversarial Network for Makeup-Invariant Face Verification,” Proc. AAAI Conference on Artificial Intelligence, pp. 7057-7064, February 2018, Louisiana, USA.
51. Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu and Tieniu Tan, “Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection,” Proc. AAAI Conference on Artificial Intelligence, pp. 6690-6697, February 2018, Louisiana, USA.
52. Junbo Wang, Wei Wang, Yan Huang, Liang Wang and Tieniu Tan, “: Multimodal Memory Modelling for Video Captioning,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7512-7520, June 2018, Salt Lake City, USA.
53. Chenyang Si, Wei Wang, Liang Wang and Tieniu Tan, “Multistage Adversarial Losses for Pose-Based Human Image Synthesis,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 118-126, June 2018, Salt Lake City, USA.
54. Jiedong Hao, Jing Dong, Wei Wang and Tieniu Tan, “DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval,” Proc. International Conference on Pattern Recognition, pp. 3335-3340, August 2018, Beijing, China.
55. He Guan, Zhaoxiang Zhang and Tieniu Tan, “Inception Donut Convolution for Top-down Semantic Segmentation,” Proc. International Conference on Pattern Recognition, pp.2492-2497, August 2018, Beijing, China.
56. Yunlong Wang, Fei Liu, Zilei Wang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN,” Proc. European Conference on Computer Vision, pp. 340-355, September 2018, Munich, Germany.
57. Chenyang Si, Ya Jing, Wei Wang, Liang Wang and Tieniu Tan, “Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning,” Proc. European Conference on Computer Vision, pp. 106-121, September 2018, Munich, Germany.
58. Junbo Wang, Wei Wang, Yan Huang, Liang Wang and Tieniu Tan, “Hierarchical Memory Modelling for Video Captioning,” Proc. ACM International Conference on Multimedia, pp. 63-71, October 2018, Seoul, Republic of Korea.
59. Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun and Tieniu Tan, “Geometry Guided Adversarial Facial Expression Synthesis,” Proc. ACM International Conference on Multimedia, pp. 627-635, October 2018, Seoul, Republic of Korea.
60. Wenkai Dong, Zhaoxiang Zhang and Tieniu Tan, “Attention-aware Sampling via Deep Reinforcement Learning for Action Recognition,” Proc. AAAI Conference on Artificial Intelligence, pp. 8247-8254, January 2019, Hawaii, USA.
61. Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie and Tieniu Tan, “Session-based Recommendation with Graph Neural Network,” Proc. AAAI Conference on Artificial Intelligence, pp. 346-353, January 2019, Hawaii, USA.
62. Chenyang Si, Wentao Chen, Wei Wang, Liang Wang and Tieniu Tan, “An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1227-1236, June 2019, Long Beach, CA, USA.
63. Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan and Jian Sun, “Meta-SR: A Magnification-Arbitrary Network for Super-Resolution,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1575-1584, June 2019, Long Beach, CA, USA.
64. Jian Liang, Ran He, Zhenan Sun and Tieniu Tan, “Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2975-2984, June 2019, Long Beach, CA, USA.
65. Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang and Tieniu Tan, “Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), pp. 4532-4539, August 2019, Macao, China.
66. Junbo Wang, Wei Wang, Zhiyong Wang, Liang Wang, Dagan Feng and Tieniu Tan, “Stacked Memory Network for Video Summarization,” Proc. ACM International Conference on Multimedia, October 2019, Nice, France.
67. Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan, “Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection,” Proc. Conference on Neural Information Processing Systems (NIPS), December 2019, Vancouver, Canada.
68. Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan, “POD: Practical Object Detection with Scale-Sensitive Network,” Proc. IEEE International Conference on Computer Vision, pp. 9607-9616, October 2019, Seoul, Korea.
69. Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng, “Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition,” Proc. European Conference on Computer Vision, pp. 35-51, August 2020, Glasgow, UK.
70. Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, “Employing Multi-estimations for Weakly-Supervised Semantic Segmentation,” Proc. European Conference on Computer Vision, pp. 332-348, August 2020, Glasgow, UK.
71. Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan, “Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification,” Proc. European Conference on Computer Vision, pp. 193-209, August 2020, Glasgow, UK.
72. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Instance guided proposal network for person search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2582-2591, June 2020, USA.
73. Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan, “Large-scale object detection in the wild from imbalanced multi-labels,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9706-9715, June 2020, USA.
74. Ya Jing, Wei Wang, Liang Wang, Tieniu Tan, “Cross-modal cross-domain moment alignment network for person search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 10675-10683, June 2020, USA.
75. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Bi-Directional Interaction Network for Person Search,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2836-2845, June 2020, USA.
76. Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Learning integral objects with intra-class discriminator for weakly-supervised semantic segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 4282-4291, June 2020, USA.
77. Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan, “Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search,” Proc. AAAI Conference on Artificial Intelligence, pp. 11189-11196, February 2020, New York, USA.
78. Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan, “Dynamic Graph Representation for Occlusion Handling in Biometrics,” Proc. AAAI Conference on Artificial Intelligence, pp. 11940-11947, February 2020, New York, USA.
79. Junsong Fan, Zhaoxiang Zhang, Tieniu Tan, Chunfeng Song, Jun Xiao, “CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation,” Proc. AAAI Conference on Artificial Intelligence, pp. 10762-10769, February 2020, New York, USA.
80. Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, and Tieniu Tan, “Unfolding the Alternating Optimization for Blind Super Resolution,” Proc. Conference on Neural Information Processing Systems, December 2020, Vancouver, Canada.
81. Zhengxiong Luo, Zhicheng Wang, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, and Erjin Zhou, “Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13264-13273, June 2021, Nashville, United States.
82. Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan, “Locate then Segment: A Strong Pipeline for Referring Image Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9858-9867, June 2021, Nashville, United States.
83. Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang, “GAIA: A Transfer Learning System of Object Detection that Fits Your Needs,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 274-283, June 2021, Nashville, United States.
84. Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan, “Learning Instance-level Spatial-Temporal Patterns for Person Re-identification,” Proc. IEEE International Conference on Computer Vision, pp. 14930-14939, October 2021.
85. Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, and Tieniu Tan, “Neighbor-view Enhanced Model for Vision and Language Navigation,” Proc. ACM International Conference on Multimedia, pp. 5101-5109, October 2021, Chengdu, China.
86. Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan, “SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer,” Proc. ACM International Conference on Multimedia, pp. 3601–3609, October 2021, Chengdu, China.
87. Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan, “Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images,” Proc. International Joint Conference on Artificial Intelligence, pp. 2271-2277, August 2021.

Selected books
1. Yi Li, Huaibo Huang, Ran He and Tieniu Tan, Heterogeneous Facial Analysis and Synthesis, Springer, 2020.
2. Shu Wu, Qiang Liu, Liang Wang and Tieniu Tan, Context-aware Collaborative Prediction: Modeling contextual information for general prediction tasks, Springer Briefs in Computer Science, Springer, 2017.
3. Yongzhen Huang and Tieniu Tan, Feature coding for Image Representation and Recognition, Springer, invited book, 2014
4. Tieniu Tan, Kaiqi Huang, Proceedings of Third Chinese Conference on Intelligent Visual Surveillance, Institute of Electrical and Electronics Engineers (IEEE), 2011.
5. Zhenan Sun, Jianhuang Lai, Xilin Chen, Tieniu Tan, Biometric Recognition, Proceeedings of 6th Chinese Conference on Biometric Recognition, LNCS-7098, Springer, 2011.
6. Jianhua Tao, Tieniu Tan (Eds.), Affective Information Processing, Springer-Verlag, 2008, Germany.
7. Jianhua Tao, Tieniu Tan, Rosalind W. Picard, Affective Computing and Intelligent Interaction, LNCS-3784, Springer-Verlag, 2005, Germany.
8. Mark. S. Nixon, Tieniu Tan and R. Chellappa, Human Identification Based on Gait, Kluwer, 2005, USA.
9. 谭铁牛，智能视觉监控研究进展，科学出版社，2003，北京。
10. T. N. Tan, Y. C. Shi and W.Gao (Editors), Advances in Multimodal Interfaces, LNCS-1948, Springer-Verlag, 2000, Germany.