Yonghong Tian, IEEE Fellow

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YHTian-SketchDr. Yonghong Tian is currently a Boya Distinguished Professor with the Department of Computer Science and Technology, Peking University, China, and is also the deputy director of Artificial Intelligence Research Center, PengCheng Laboratory, Shenzhen, China. His research interests include neuromorphic vision, brain-inspired computation and multimedia big data. He has co-authored over 200 technical articles in refereed journals such as IEEE TPAMI/TNNLS/TIP/TMM/TCSVT/TKDE/ TPDS/TCYB, ACM CSUR/TOIS/TOMM and conferences such as NeurIPS/CVPR/ICCV/AAAI/ACMMM/WWW. Meanwhile, he has owned more than 85 US and China Invention Patents, and won the Award for National Excellent Patent of China in 2016. He was the recipient of the Chinese National Science Foundation for Distinguished Young Scholars in 2018, two National Science and Technology Awards and three ministerial-level awards in China, and obtained the 2015 EURASIP Best Paper Award for Journal on Image and Video Processing, and the best paper award of IEEE BigMM 2018. He is also the main technical contributor of IEEE Standard 1857.6-2018 and 1857a-2014, and the Co-Editor of ISO/IEC DIS 39794-16.

His main contributions are summarized as follows: 1) He has made a milestone contribution to analysis-friendly video coding technology. By creatively embedding a low-complexity and high-efficiency background modeling module into the video coding loop, he established a novel scene-based video coding framework that can achieve approximately twice the coding efficiency on surveillance videos while remarkably reducing the encoding complexity. It then became the IEEE Std. 1857 surveillance video profile in 2014. 2) He has made a seminal contribution to developing innovative video analytic algorithms and systems for visual big data applications. He pioneered the visual saliency computation approach uniquely from a machine learning perspective and creatively designed a fine-grained object recognition scheme at the very early stage, both inspired by the neurobiological mechanisms of human vision system. This work promoted the learning-based visual saliency computing and fine-grained object recognition to become the mainstream research topics in this field. 3) He pioneered a high-efficient compression framework of visual spike streams for biologically-inspired event cameras, and more importantly, his team invented a retina-like visual sensing chip with the extra-high sampling frequency of 40,000 Hz, even with the same common photosensitive devices as traditional cameras. Currently, he is also the Chief Architector of the Pengcheng CloudBrain, the Rank-1 AI Supercomputer in the IO500 list announced by Supercomputing 2020 and 2021.

He was/is an Associate Editor of IEEE TCSVT (2018.1-), IEEE TMM (2014.8-2018.8), IEEE Multimedia Mag. (2018.1-), and IEEE Access (2017.1-2019.12), and received the Best Associate Editor Award of IEEE TCSVT in 2020. He co-initiated IEEE Int’l Conf. on Multimedia Big Data (BigMM), served as the General Co-chair of IEEE MIPR 2020 and ICME2021, and the Technical Program Co-chair of IEEE ICME 2015, IEEE ISM 2015, IEEE BigMM 2015 and IEEE MIPR 2018/2019. He is the steering member of IEEE ICME (2018-2020) and IEEE BigMM (2015-), and is a TPC Member of more than ten conferences such as NeurIPS, CVPR, ICCV, ACM KDD, AAAI, ACM MM and ECCV. He Led the guest editor team of the IEEE TMM SI in 2019, 2015, and the IEEE Multimedia SI in 2016. Currently, he is the Vice Chair of IEEE Standard Committee for Data Compression, and the Chair of IEEE 2941 and China Standard Working Group for AI Model Representation and Compression. He is a Fellow of IEEE, a senior member of CIE and CCF, a member of ACM, and serves as the Vice Chair of IEEE CASS Beijing Chapter.

EDUCATION

  • Institute of Computing Technology, Chinese Academy of Sciences, China
Ph. D, Computer Application Technology
Supervisor: Prof. Wen Gao
Honor: 2003 Ph.D. research award, Thesis summary published in AI Communication
Dissertation: Context-based Statistical Relational Learning 2000.9-2005.7
  • University of Electronic Science and Technology, China
Master of Engineering, Computer Software and Theory 1997.9-2000.6

PROFESSIONAL EXPERIENCE

  • 2007.8-Present: Boya Distinguished Professor (2019.1~), Professor (2013.8~), Associate Professor (2007.8~2013.7), Institute of Digital Media, School of EE & CS, Peking University, PI and Team Leader of Multimedia Learning Group
  • 2018.1-persent: Deputy Director, Senior Research Scientist, Artificial Intelligence Research Center, Pengcheng Laboratory (Shenzhen)
  • 2019.8-present: Adjunct Professor, Chinese University of Hong Kong, Shenzhen, China
  • 2018.1-present: Adjunct Professor, Huazhong University of Science and Technology, China
  • 2009.11-2010.7: Department of Computer Science/Engineering, University of Minnesota, Visiting Scientist
  • 2007.8-2013.7: Associate Professor
  • 2013.8- : Professor, Ph.D Supervisor
  • Projects Involved (as PI): Multi-camera Cooperative Moving Object Detection, Tracking and Anomalous Behavior Analysis in Surveillance Video (Grant from NSFC, 2011-2014); Learning-based Video Attention & Interestingness Computational Methodology for Interactive Video Technology (Grant from NSFC, 2010-2012); Theory and Methodologies of the Correlation Analysis on Salient Moving Objects in the Multi-view Surveillance Video (Grant from M.O.E of China, 2010-2012); Robust Statistical Relational Models and Relational Kernel Methods for Complex Link Data and Relational Data (Grant from NSFC, 2007-2009); Video Retrieval Technology and Content Management System for IPTV (Grant from China 863 Hi-Tech Program, 2007-2008); Cross-media Retrieval Technology and Product Development (Grant from China 863 Hi-Tech Program, 2007-2010); Content Analysis and Enrichment Technology for IPTV Interactive Video Services (Grant from Huawei Company, 2008-2009).
  • Teaching: C/C++ Programming Practice (Lecturer, Spring, for Undergraduates), Fundamentals of Digital Media Technology (One of Lecturers, 2008-2013 Spring, for Under-graduates), Video Coding and Understanding (One of Lecturers, Spring, For Graduates).
  • Supervised Students: 8 Ph.D. candidates, 14 Master candidates.
  • 2005.7-2007.8: Digital Media Center, Institute of Computing Technology, Chinese Academy of Sciences Lecturer, PI and Team Leader of Digital Library Group
  • Projects Involved (as co-PI): Knowledge Mining and Organization for China-US Million Book Digital Library (Grant from M.O.E of China and NSF, 2004-2006); Intelligent Web Mining and Retrieval for Subject-Specific Topics (Grant from CAS, 2004-2005); Education Resource Management Technology and System (Grant from Chinese Tenth “Five-year” Plan, 2003-2005).
  • Supervised Students: 5 Ph.D. candidate, 8 Master candidates.
AWARDS

 International

  • Best Paper Award, EURASIP Journal of Image and Video Processing, 2015.
  • Best Paper Award, the 4th IEEE Conference on Multimedia Big Data (BigMM), 2018.
  • Recipient, Tan Chin Tuan Exchange Fellowship in Engineering, Nanyang Technological University (NTU), Singapore, 2018.
  • Best Associate Editor Award, IEEE Transactions on Circuits and Systems for Video Technology, 2020.
  • Top Performer, TRECVID Surveillance Event Detection (SED) evaluation, 2009-2012.
  • Best Performer, TRECVID Content-based Copy Detection (CBCD) evaluation, 2010-2011.
  • Best Performer, IEEE Performance Evaluation of Tracking and Surveillance (PETS), 2012.
  • First-Class Award, the 2nd International Brain-like Computing Competition, 2018.

National

  • The Highest Prize for National Technology Innovation Award, 2017, (the only winner in the video coding field in the highest-level award of China), for his contributions to developing scene-based video coding technologies and standard.
  • The Highest Prize for National Sci.&Tech. Progress Award, 2010, for his contributions to developing visual data analysis technologies and applying them in the large-scale digital library.
  • The First-Class Award for Technology Innovation Award of Chinese Electronics Society, 2015, for his contributions to developing scene-based video coding technologies and applications.
  • The First-Class Award for Sci.&Tech. Progress, Ministry of Education, 2009, for his contributions to designing and implementing the large-scale digital library.
  • The Second-Class Award for Natural Science Award of Chinese Electronics Society, 2018, for his contributions to developing fine-grained object recognition algorithms and systems.
  • The Award for National Excellent Patent, 2016, for his patent on transformation-sensitive video copy detection technology.
  • Recipient, the Excellent Computer Teachers Award in Chinese Colleges and Universities, 2018.
  • Best Demo, the China CCF Multimedia Conference (ChinaMM), Dalian, Oct.
  • Winner, the 2nd National Multi-Agent Gaming Challenge, 2020.
PROFESSIONAL ACTIVITIES
  •  International

A. Services

A1. Vice Chair, IEEE CASS Beijing Chapter, 2020.8-present.

A2. Co-Chair, Multimedia Big Data SIG, IEEE CS-TCMC, 2015-present.

B. Editorial

B1. Associate Editor, IEEE TCSVT, 2018.1-Present.

B2. Associate Editor, IEEE TMM, 2014.8-2018.7.

B3. Associate Editor, IEEE Multimedia, 2018.1-Present.

B4. Associate Editor, IEEE Access, 2017.1-2019.12.

B5. Lead Guest Editor, IEEE TMM SI on Multimedia Computing with Interpretable Machine Learning (2019) and SI on Multimedia Big Data (2015).

B6. Lead Guest Editor, IEEE Multimedia SI on Ubiquitous Multimedia, 2016.

B7. Co-Editor-in-Chief, IJMDEM, 2017-2018.

B8. Associate Editor, IET Smart Cities, 2019-Present.

B9. Guest Editor, Journal of Multimedia, 2012;

C. Conference Organization 

C1. General Co-Chair, IEEE ICME 2021; IEEE MIPR 2020.

C2. TPC Co-Chair, IEEE ICME 2015, IEEE BigMM 2015, IEEE MIPR 2018~2019, IEEE ISM 2015.

C3. Steering Committee Member, ICME 2018-2020, BigMM 2015-Present.

C4. Workshop Co-Chairs, ISM 2016.

C5. Financial Co-Chairs, ISCAS 2013, MMSP 2011.

C6. Demo Co-chair, ACMMM 2020.

C7. TPC Member, including NeurIPS, 2019~2021; ACM MM, 2008/2009/2018/2020; AAAI, 2019~2021; ECCV, 2018,2020; ICME 2014~2021, etc.

D. Standard 

D1. Vice Chair, IEEE Standard Committee for Data Compression, 2020.9~Present.

D2. Chair, IEEE 2941 Standard Working Group for AI Model Representation, Compression, Distribution and Management~Present.

D3. Main contributor, IEEE Standard 1857.6-2018 and 1857a-2014.

D4. Co-Editor, ISO/IEC DIS 39794-16: extensible biometric data interchange formats.

 E. Keynote Speech 

E1. “CRAF: Towards Coding-Representation-Analysis Framework for Multimedia Big Data”, at the 26th IEEE International Telecommunication Networks and Applications Conference (ITNAC), Dunedin, New Zealand, Dec. 2016.

E2. “Simulating Large-scale Detailed Neural Network of the Retina for Brain-Inspired AI”, at the 3rd East-Asia Neuroscience Workshop, Tokyo, Japan, Dec. 2017.

E3. “Joint Representation and Processing of Signals and Features for Visual Big Data”, at the IEEE Future Multimedia Technology Forum, Xiamen, China, Aug. 2018.

E4. “Retina-Inspired Visual Information Representation and Processing”, at the 15th International Forum of Digital TV & Multimedia Communication, Shanghai, China, Sep. 2018.

E5. “When AI meets high-speed networking — Making AI Computing and Services Anywhere Anytime”, at the 29th IEEE International Telecommunication Networks and Applications Conference (ITNAC), Auckland, New Zealand, Dec. 2019.

E6. “How to Make Large-Scale Vision Computing More Efficient and More Reassuring?”, at the International Conference on Security and Privacy in Digital Economy, Quzhou, China, Oct. 2020.

E7. “Neuromorphic vision drives new AI: A novel paradigm for future multimedia computing”, as the Tutorial at the ACM International Conference on Multimedia, Seattle, USA, Oct. 2020.

  • National

A. Services 

A1. Member of the expert committee, the sub-programme on Intelligent Sensors of National Key R&D Programme in the 14th Five Year Plan, MoST, 2020.12-Present.

A2. Member of the council committee, the National “New-Generation Artificial Intelligence” Plan of China, CAE, 2015.3-2020.12.

A3. Vice chair of the expert committee, Natioon Artificial Intelligence Competition, Shenzhen, China, 2019.5-Present.

A4. Secretary general of the expert committee, China Graduate Contest on Smart City Technology and Creative Design, MoE, China, 2014.2-2018.10.

A5. Board Member, China Society of Image and Graphics (CSIG), 2020.11-Present.

A6. Deputy Chair, Transportation Video Technology Committee of China Society of Image and Graphics (CSIG), 2020.9-Present.

A7. Member of the Standing Committee, Multimedia Technology Committee of Chinese Computer Federation (CCF), 2019.1-Present.

A8. Deputy Director General, Division of Electronic Information and Equipment Manufacturing, Beijing Municipal Science and Technology Commission, 2014.8-2016.3.

A9. Information System Specialist, Beijing Organizing Committee for the Games of the XXIX Olympiad, 2006.2-2008.10.

A10. Board member, China New-Generation Artificial Intelligence Open-Source Community (OpenI), 2018.7-Present.

A11. Member of the technical steering committee, Mindspore Community, 2019.7-Present.

B. Editorial

B1. Young Associate Editor, Frontiers of Computer Sciences, 2015.1-2017.12.

C. Conference Organization 

C1. Publication Co-chair, China CCF Multimedia Conference (ChinaMM), 2020.

D. Standard 

D1. Chair, Chinese National Standard Working Group for AI Model Representation and Compression, 2018-Present.

E. Keynote Speech 

E1. “Retina-Inspired Visual Information Representation and Processing”, at the China CCF Multimedia Conference (ChinaMM), Dalian, Oct. 2018.

E2. “Object and Action Recognition: Form Big-data Driven Deep Learning to Few-shot Open Set Recognition”, The first China Conference on Pattern Recognition and Computer Vision, Guangzhou, Dec. 2018.

E3. “Deep Vision Recognition: Seven-year Itch and Re-tinking”, at the Annual meeting of Shanghai Computer Federation, Shanghai, Dec. 2019.

E4. “From Incremental to Disruptive: The Innovative Road of Computer Vision”, at the Greater-Bay-Area and Cross-Strait Youth Artificial Intlligence Conference, Shenzhen, Nov. 2020.

E5. “Pengcheng CloudBrain: For Innovative Applications with the Effective Collaboration between Brain and Eyes”, at the Taihu Symposium, Wuxi, Dec. 2020.

PUBLICATIONS

  • Journal papers

  1. Mingbao Lin, Rongrong Ji*, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao, Fast Class-wise Updating for Online Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Nov 1.1109/TPAMI.2020.3042193
  2. Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian*, Adversarial Reciprocal Points Learning for Open Set Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 10.1109/TPAMI.2021.3106743.
  3. Yijie Zhao, Kendrick N. Kay, Yonghong Tian, Yixuan Ku*, Sensory recruitment revisited: Ipsilateral V1 involved in visual working memory, Cerebral Cortex
  4. Yifan Zhao, Jia Li*, Yu Zhang, Yafei Song and Yonghong Tian, Ordinal Multi-task Part Segmentation with Recurrent Prior Generation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Nov 18. doi: 10.1109/TPAMI.2019.2953854.
  5. Jianing Li, Yihua Fu, Siwei Dong , Zhaofei Yu , Tiejun Huang, and Yonghong Tian*, Asynchronous Spatiotemporal Spike Metric for Event Cameras, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2021.3061122
  6. Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Filter Sketch for Network Pruning, IEEE Transactions on Neural Networks and Learning Systems.
    10.1109/TNNLS.2021.3084206
  7. Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang*, Yonghong Tian, Feng Wu*, Tracking by Joint Local and Global Search: A Target-aware Attention based Approach, IEEE Transactions on Neural Networks and Learning Systems. 10.1109/TNNLS.2021.3083933
  8. Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tiejun Huang, and Yonghong Tian*, Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection, IEEE Transactions on Multimedia,1109/TMM.2021.3078141
  9. Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu, Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 31(12), 4895–4908, 2021. DOI: 10.1109/TCSVT.2021.3056684
  10. Wen Gao, Siwei Ma, Lingyu Duan, Yonghong Tian*, Peiying Xing, Yaowei Wang, Shanshe Wang, Huizhu Jia, Tiejun Huang, Digital Retina: A Way to Make the City Brain More Efficient by Visual Coding, IEEE Transactions on Circuits and Systems for Video Technology, 31(11), 4147-4161, 2021.1109/TCSVT.2021.3104305
  11. Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu*, Neural System Identification with Spike-triggered Non-negative Matrix Factorization, IEEE Transactions on Cybernetics, 2020 Nov 1. DOI: 10.1109/TCYB.2020.3042513
  12. Qi Yan*, Yajing Zheng*, Shanshan Jia, Yichen Zhang, Zhaofei Yu*, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu*, Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Network, IEEE Transactions on Cybernetics, 1109/TCYB.2020.2972983
  13. Lin Zhu, Siwei Dong, Tiejun Huang, and Yonghong Tian*, Hybrid Coding of Spatiotemporal Spike Data for a Bio-inspired Camera, IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2020.3032014
  14. Yi Chang, Luxin Yan*, Bingling Chen, Sheng Zhong, Yonghong Tian, Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2020.3024623.
  15. 陈光耀，彭佩玺，田永鸿*,紧致化神经网络的鲁棒性分析，中国科学：技术科学
  16. 李家宁，田永鸿*,神经形态视觉传感器的研究进展及应用综述，计算机学报， 44(6), 1259-1288。
  17. 赵耀,田永鸿,党建武,付树军,王恒友,万军,安高云,杜卓然,廖理心,韦世奎*, 面向智慧城市的交通视频结构化分析前沿进展, 26(6), 2021, 1227-1253.
  18. Youyang Qu, Shui Yu, Wanlei Zhou, and Yonghong Tian*, GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems, IEEE Transactions on Network Science and Engineering, 7(4), Oct.-Dec. 2020, 2576-2586.
  19. Lin Zhu, Xiurong Jiang, Jianing Li, Yuanhong Hao, and Yonghong Tian*, Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes, ACM Transactions on Multimedia Computing Communications and Applications, 16, 4, Article 123 (December 2020), 23 pages.
  20. Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang and Yonghong Tian*, Adaptation-Oriented Feature Projection for One-shot Action Recognition, IEEE Transactions on Multimedia, 22(12), Dec. 2020, 3166-3179.
  21. Weiqing Min, Wen-Huang Cheng, Yonghong Tian, Abdulmotaleb El Saddik, Zi Huang, Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications, IEEE Multimedia, 27(3), Sep 2020, 8-11.
  22. Kui Fu, Jia Li*, Yu Zhang, Hongze Shen, and Yonghong Tian, Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction, IEEE Transactions on Image Processing, 29(6), 7117-7127, Jun 2020. 10.1109/TIP.2020.2998977
  23. Yonghong Tian*, Cees G. M. Snoek, Jingdong Wang, Zhu Liu, Rainer Lienhart, Susanne Boll, Guest Editorial: Multimedia Computing with Interpretable Machine Learning, IEEE Transactions on Multimedia, 22(7), Jul 2020, pp. 1661-1666.
  24. Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian*, P-ODN: Prototype-based Open Deep Network for Open Set Recognition, Scientific Reports, 2020, 10, article number: 7146.
  25. Zhaofei Yu, Jian K. Liu*, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang, Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes, Engineering, Volume 6, Issue 4, April 2020, 449-461.
  26. Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu*, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu*, Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks, Neural Networks, Volume 125, May 2020, Pages 19-30.
  27. Yajing Zheng, Shanshan Jia, Zhaofei Yu*, Tiejun Huang, Jian K. Liu, Yonghong Tian*, Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation, Neural Networks, Volume 126, June 2020, Pages 42-51.
  28. Lin Ding, Yonghong Tian*, Hongfei Fan, Changhuai Chen, and Tiejun Huang, Joint Coding of Local and Global Deep Features in Videos for Visual Search, IEEE Transactions on Image Processing, 29(1), 3734-3749, Jan 15, 2020. (WOS:000510750900064)
  29. Jia Li, Jinming Su, Changqun Xia and Yonghong Tian, Distortion-adaptive Salient Object Detection in 360° Omnidirectional Images, Journal of Selected Topics in Signal Processing, 14(1), 38-48, Jan 2020. DOI: 1109/JSTSP.2019.2957982
  30. Li Ma, Yonghong Tian*, Peiyin Xing, Tiejun Huang, Residual-Based Post-processing for HEVC, IEEE Multimedia, 26(4), 67-79, Oct-Dec. 2019. (WOS:000510707800007)
  31. Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu*, Jian K Liu, Yonghong Tian*, Tiejun Huang, Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor, IEEE Access, Volume: 7,157341 – 157352, Sep.2019. (WOS:000510442000002)
  32. Siwei Dong, Zhichao Bi, Yonghong Tian* and Tiejun Huang, Spike Coding for Dynamic Vision Sensor in Intelligent Driving, IEEE Internet of Things Journal, 6(1), Feb 2019, 60-71. (WOS:000459709500007) (EI20184105916767)
  33. Yonghong Tian*, Lan Wei, Shijian Lu, Tiejun Huang, Free- view gait recognition. PLoS ONE 14(4): e0214389, Apr 2019. (WOS:000464696100008)
  34. Jia Li*, PengCheng Yuan, Daxin Gu, Yonghong Tian*, Hierarchical Deep Co-segmentation of Primary Objects in Aerial Videos, IEEE Multimedia, 26(3), JUL-SEP 2019, 9-18. (WOS:000484210400002)
  35. Yuanyuan Yang*, Yonghong Tian, Tiejun Huang, Multiscale video sequence matching for near-duplicate detection and retrieval, Multimedia Tools and Applications, January 2019, 78(1), pp 311–336. 10.1007/s11042-018-5862-3 (WOS:000457317500017) (EI20181905147578)
  36. Peixi Peng, Yonghong Tian*, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang, Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(7), 2018, Jul 2018, 1625-1638. (EI 20172903946960) (WOS:000434294800007)
  37. Hongyuan Zhu*, Romain Vail*, Shijian Lu, Xi Peng*, Huazhong Fu, Yonghong Tian, Xianbing Cao, YoTube: Searching Action Proposal via Recurrent and Static Regression Networks, IEEE Transactions on Image Processing, 27(6), 2609 – 2622, Jun. 2018. (WOS:000427637600001) (EI20180804814643)
  38. Yonghong Tian*, Jiaying Yan, Siwei Dong, Tiejun Huang, PA-Search: Predicting Units Adaptive Motion Search for Surveillance Video Coding, Computer Vision and Image Understanding, Volume 170, May 2018, Pages 14-27. https://doi.org/10.1016/j.cviu.2018.02.009 (WOS:000437553800002)(EI20181204922544)
  39. Lin Ding, Yonghong Tian*, Hongfei Fan, Yaowei Wang, and Tiejun Huang, Rate-Performance-Loss Optimization for Inter-frame Deep Feature Coding from Videos, IEEE Transactions on Image Processing, 26(12), Dec. 2017, 5743-5757. (WOS:000412433000010) (EI 20173604130199)
  40. Yemin Shi, Yonghong Tian*, Yaowei Wang, Tiejun Huang, Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN, IEEE Transactions on Multimedia, 19(7), Jul 2017, 1510-1520. (WOS:000404061800009)(EI 20172603861930)
  41. Shu Fang, Jia Li*, Yonghong Tian*, Tiejun Huang, Xiaowu Chen, Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis, IEEE Transactions on Neural Networks and Learning Systems, 28(5), May 2017: 1095-1108. (WOS:000401981800007) (EI20160902031381)
  42. Yong-hong TIAN*, Xi-lin CHEN, Hong-kai XIONG, Hong-liang LI, Li-rong DAI, Jing CHEN, Jun-liang XING, Jing CHEN, Xi-hong WU, Wei-min HU, Yu HU, Tie-jun HUANG*, Wen GAO, Towards human-like and transhuman perception in AI 2.0: a review, Frontiers of Information Technology & Electronic Engineering, Jan 2017, 18(1):58-67. (WOS:000394541200005) (EI 20170603329528)
  43. Jia Li*, Yonghong Tian*, Xiaowu Chen, Tiejun Huang, Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation, Int’l Journal of Computer Vision, 120(1), Oct 2016, 44-60. DOI: 10.1007/s11263-016-0892-7 (WOS: 000382092100004) (EI20161002049129)
  44. Yonghong Tian*, Min Chen, Leonel Sousa, Ubiquitous Multimedia: Emerging Research on Multimedia Computing, IEEE Multimedia, 23(2), Mar-Apr 2016, pp. 12-15. (WOS:000378160500002)(EI20162202431561)
  45. Wei Chen, Yonghong Tian*, Yaowei Wang and Tiejun Huang, Fixed-point Gaussian Mixture Model for Analysis-Friendly Surveillance Video Coding, Computer Vision and Image Understanding, vol. 142, Jan 2016, pp. 65-79. (WOS:000365838200006) (EI20154601555705)
  46. 高文，田永鸿*，王坚，数字视网膜:智慧城市系统演进的关键环节, 中国科学: 信息科学, 48(8), Mar 2018, 1076–1082. doi: 10.1360/N112018-00025(CSCD:6336638)
  47. Jiaying Yan, Siwei Dong, Yonghong Tian, and Tiejun Huang, Introduction to AVS2 Scene Video Coding Techniques, ZTE Communications, 14(1), 2016, pp. 50-53.
  48. Min Chen, Leonel Sousa, Yonghong Tian, Multimedia Computing: Challenges and Opportunities, International Journal of Semantic Computing, Vol. 10, No. 1 (2016) 1–4.
  49. Jia Li, Lingyu Duan, Xiaowu Chen, Tiejun Huang, and Yonghong Tian, Finding the Secret of Image Saliency in the Frequency Domain, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12), Dec 2015, pp. 2428-2440. (WOS:000364831700006) (EI20161202123622)
  50. Jia Li, Shu Fang*, Yonghong Tian*, Tiejun Huang, and Xiaowu Chen, Image Saliency Estimation via Random Walk Guided by Informativeness and Latent Signal Correlations, Signal Processing: Image Communication, (2015), pp. 3-14. (WOS:000366074000002) (EI20152300916143)
  51. Yonghong Tian, Mengren Qian, Tiejun Huang*, TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection, ACM Transactions on Information Systems, 33(2), Article 7, Jan 2015, 34 pages. (WOS:000351440200003) (EI20150900576190)
  52. Peixi Peng, Yonghong Tian*, Yaowei Wang, Jia Li, Tiejun Huang, Robust Multiple Cameras Pedestrian Detection with Multi-view Bayesian Network, Pattern Recognition, 48(5), May 2015, Pages 1760–1772.
  53. Yonghong Tian, Jia Li, Shui Yu, Tiejun Huang, Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes, Int’l Journal of Computer Vision, 111(2), Jan 2015, 153-170. 10.1007/s11263-014-0737-1
  54. Wen Gao, Yonghong Tian*, Tiejun Huang, Siwei Ma, Xianguo Zhang, IEEE 1857 Standard Empowering Smart Video Surveillance Systems, IEEE Intelligent Systems, 29(5), Sep.-Oct. 2014, 30-39. DOI: 1109/MIS.2013.101.
  55. Xianguo Zhang, Yonghong Tian*, Tiejun Huang, Siwei Dong, Wen Gao, Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos with Background Modeling, IEEE Transactions on Image Processing, 23(10), Oct. 2014. 4511-4526. DOI: 1109/TIP.2014.2352036
  56. Shui Yu, Yonghong Tian*, Song Guo, Dapeng Oliver Wu, Can We Beat DDoS Attacks in Clouds? IEEE Transactions on Parallel and Distributed Systems, 25(9), Sep. 2013, 2245-2254. DOI: 10.1109/TPDS.2013.181.
  57. Xianguo Zhang, Tiejun Huang*, Yonghong Tian*, Wen Gao, Background-Modeling Based Adaptive Prediction for Surveillance Video Coding, IEEE Transactions on Image Processing, 23(2), Feb 2014, 769-784. DOI: 1109/TIP.2013.2294549.
  58. Jia Li, Yonghong Tian*, Tiejun Huang. Visual Saliency with Statistical Priors, Int’l Journal of Computer Vision, Volume 107, Issue 3, May 2014, pp. 239-253. DOI: 10.1007/s11263-013-0678-0.
  59. Tiejun Huang, Siwei Dong, Yonghong Tian*, Representing Visual Objects in HEVC Coding Loop, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Volume 4, Issue 1, March 2014, 5-16. DOI: 10.1109/JETCAS.2014.2298274.
  60. Yonghong Tian, Shui Yu, Chin-Yung Lin, Wen Gao, Wanlei Zhou, Special Issue on Social Multimedia Computing: Challenges, Techniques, and Applications: Guest Editorial, Journal of Multimedia, 9(1), 2014, 1-3.
  61. Luntian Mou, Tiejun Huang, Yonghong Tian, Menglin Jiang, Wen Gao, Content-Based Copy Detection through Multimodal Feature Representation and Temporal Pyramid Matching, ACM Trans. Multimedia Comput. Commun. Appl., 10(1), Article 5 (December 2013), 20
  62. Yonghong Tian, Yaowei Wang, Zhipeng Hu, Tiejun Huang, Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes, IEEE Transactions on Circuits and Systems for Video Technology. 23(11), 2013, 1849-1864.
  63. Yonghong Tian, Tiejun Huang, Menglin Jiang, and Wen Gao, Video Copy Detection and Localization with a Scalable Cascading Framework, IEEE Multimedia, 20(3), Sep. 2013, 72-86.
  64. Xianguo Zhang, Tiejun Huang*, Yonghong Tian*, Mingchao Geng, Siwei Ma, Wen Gao, Fast and Efficient Transcoding Based on Low-complexity Background Modeling and Adaptive Block Classification, IEEE Transactions on Multimedia, 15(8), Dec 2013, 1769-1785.
  65. Jia Li, Yonghong Tian*, Lingyu Duan and Tiejun Huang, Estimating Visual Saliency through Single Image Optimization, IEEE Signal Processing Letters, 20(9), Sep 2013, 845-848.
  66. Tiejun Huang, Yonghong Tian*, Wen Gao, IEEE 1857: Boosting Video Applications in CPSS, IEEE Intelligent Systems, 28(5), 24-27, Sept.-Oct. 2013.
  67. Teng Xu, Tiejun Huang,Yonghong Tian, Survey on Pedestrian Detection Technology for On-board Vision Systems, Journal of Image and Graphics, 18(4), 2013, 359-367. [In Chinese]
  68. Jingjing Yang, Yonghong Tian*, Lingyu Duan, Tiejun Huang, Wen Gao. Group-Sensitive Multiple Kernel Learning for Object Recognition, IEEE Transactions on Image Processing, 21(5), May 2012, 2838-2852.
  69. Zhongfei Zhang, Zhengyou Zhang, Ramesh Jain, Yueting Zhuang, Noshir CONTRACTOR, Alexander G. HAUPTMANN, Alejandro (Alex) JAIMES, Wanqing LI, Alexander C. LOUI, Tao MEI, Nicu SEBE, Yonghong Tian, Vincent S. TSENG, Qing WANG, Changsheng XU, Huimin YU, Shiwen YU, Societally connected multimedia across cultures, Journal of Zhejiang University SCIENCE C, 13(12), 2012, 875-880.(WOS:000312185500001)
  70. Yonghong Tian, Tiejun Huang, Wen Gao, Multimodal Video Copy Detection using Multi-Detectors Fusion, IEEE COMSOC MMTC E-Letter, 7(5), September 2012, 3-6.
  71. CHEN Ming-Li, ZHANG Chang-Xin, YANG Shao-Juan, MAO Li-Hua, TIAN Yong-Hong, HUANG Tie-Jun, WU Xi-Hong, GAO Wen, LI Liang, Stereopsis-Based Binocular Unmasking, Advances in Psychological Science, 20(9), 2012, 1355-1363. [In Chinese]
  72. Jia Li, Yonghong Tian*, Tiejun Huang, Wen Gao. Multi-Task Rank Learning for Visual Saliency in Video. IEEE Transactions on Circuits and Systems for Video Technology, 21(5), May 2011, 623-636.
  73. Tiejun Huang, Yonghong Tian*, Jia Li, Haonan Yu. Salient region detection and segmentation for general object recognition and image understanding, Science in China Information Series, 54(12), Dec. 2011, 2461-2470.
  74. Yonghong Tian, Jaideep Srivastava, Tiejun Huang, and Noshir Contractor. Social Multimedia Computing. Computer, 43(8), Aug. 2010, 27-36. (WOS:000280949000008)(Cover Feature)
  75. Wen Gao, Yonghong Tian*, Tiejun Huang, Qiang. Vlogging: A Survey of Video Blogging Technology on the Web. ACM Computing Surveys, 42(4), Jun. 2010, article 15, 57 pages.
  76. Jia Li, Yonghong Tian*, Tiejun Huang and Wen Gao. Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video. Int’l Journal of Computer Vision, 90(2), Aug. 2010, 150-165.
  77. Tiejun Huang, Yonghong Tian*, Wen Gao, Jian Lu. Mediaprinting: Identifying Multimedia Content for Digital Rights Management. Computer, 43(12), Dec. 2010, 28-35.
  78. Yuanning Li, Yonghong Tian*, Lingyu Duan, Jingjing Yang, Tiejun Huang, Wen Gao. Sequence Multi-Labeling: A Unified Video Annotation Scheme with Spatial and Temporal Context. IEEE Transactions on Multimedia, 12(8), Dec. 2010, 814-828.
  79. Jia Li, Yonghong Tian*, Tiejun Huang, Wen Gao. Cost-Sensitive Rank Learning from Positive and Unlabeled Data for Visual Saliency Estimation. IEEE Signal Processing Letters, 17(6), Jun. 2010, 591-594.
  80. Jingjing Yang, Yuanning Li, Yonghong Tian*, Lingyu Duan, Wen Gao. Per-Sample Multiple Kernel Approach for Visual Concept Learning. EURASIP Journal on Image and Video Processing, Vol 2010, Article ID 461450, 13 pages.
  81. Jia Li, Haonan Yu, Yonghong Tian*, Tiejun Huang. Salient Object Extraction for User-Targeted Video Content Association. Journal of Zhejiang University SCIENCE C, 11(11), Nov. 2010, 850-859.
  82. Yali Cao Tiejun Huang, Yonghong Tian. A ranking SVM based results fusion model for cross-media meta-search engine. Journal of Zhejiang University SCIENCE C, 11(11), Nov. 2010, 903-910.
  83. Yaowei Wang, Limin Su, Yonghong Tian. KernelRank: Exploiting Semantic Linkage Kernels for Relevant Pages Finding. Chinese Journal of Electronics, 18(3), 2009, 405-410.
  84. Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling and Wen Gao, Learning contextual dependency network models for link-based classification. IEEE Transactions on Knowledge and Data Engineering, 18(11), Nov 2006, 1482-1496.
  85. Yonghong Tian, Tiejun Huang, Wen Gao. Latent Linkage Semantic Kernels for Collective Classification of Link Data. Journal of Intelligent Information Systems, 26(3), May 2006, 269-301.
  86. Yonghong Tian. Context-Based Statistical Relational Learning. AI Communications, 19(3), Sep. 2006, 291-293.
  87. Yonghong Tian, Tiejun Huang, Wen Gao. Exploiting multi-context analysis in semantic image classification. Journal of Zhejiang University SCIENCE, 6A (11), Nov. 2005, 1268-1283.
  88. Tiejun Huang, Yonghong Tian, Chunli Wang, Xiaoddong Shi, Wen Gao. Towards a multilingual, multimedia and multimodal digital library platform. Journal of Zhejiang University SCIENCE, 6A (11), 2005, 1180-1184.
  89. Yonghong Tian, Tiejun Huang, Wen Gao. Two-phase Web site classification based on Hidden Markov Tree models. Int’l Journal: Web Intelligence and Agent System, 4(2), 2004, 249-264.
  90. Yonghong Tian, Tiejun Huang, Wen Gao. A Web Site Representation and Mining Algorithm Using the Multiscale Tree Model. Journal of Software,15(9), Sep 2004.(EI2004488687452) [In Chinese]
  91. Yonghong Tian, Tiejun Huang, Wen Gao. The Influence Model of Online Social Interactions and its Learning Algorithms. Chinese Journal of Computers, 28(7), Jul 2003.
  92. Yue Wu, Yonghong Tian, WanLei Zhou. The Development of a Mobile Decision Support System. Journal of Interconnection Network, Special Issue on Network-based Parallel Computing, 2(3), Sep. 2001, 379-390.

  • Book chapters

  1. Shui Yu, Simon James, Yonghong Tian and Wanchun Dou, Reliable Aggregation on Network Traffic for Web Based Knowledge Discovery, Book Chapter in Reliable Knowledge Discovery, Springer, 149-159, 2012.
  2. Wen Gao, Yonghong Tian, Lingyu Duan, Jia Li, and Yuanning Li, Video Scene Analysis: A Machine Learning Perspective, Book Chapter in Video Segmentation and Its Applications, , Springer, 87-116, 2011.
  3. Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao. Semantic Image Classification and Annotation. Book Chapter in Semantic Mining Technologies for Multimedia Databases (Edited by Tao, Xu, and Li), IGI Global, 2009, 384-412.
  4. Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao. Content-Based Video Semantic Analysis. Book Chapter in Semantic Mining Technologies for Multimedia Databases (Edited by Tao, Xu, and Li), IGI Global, 2009, 234-258.

  • Conference papers:

  1. Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian*, Retinomorphic Object Detection in Asynchronous Visual Streams, AAAI2022
  2. Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier and Yonghong Tian*, Deep Residual Learning in Spiking Neural Networks, Advances in Neural Information Processing Systems, 2021
  3. Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu, Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  4. Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang, High-speed Image Reconstruction through Short-term Plasticity for Spiking Cameras, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  5. Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu and Yonghong Tian,, PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks, IEEE Winter Conference on Applications of Computer Vision (WACV 2021), 2021.
  6. Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang and Yonghong Tian*, Reducing Image Compression Artifacts for Deep Neural Networks, 2021 Data Compression Conf.
  7. Ivan Bajic, Weisi Lin, Yonghong Tian, Collaborative Intelligence: Challenges and Opportunities, Int’l Conf. Acoustics, Speech, & Signal Processing (ICASSP), 2021.
  8. Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian*, Allocating DNN Layers Computation Between Front-End Devices and the Cloud Server for Video Big Data Processing, Proc. Int’l Conf. Acoustics, Speech, & Signal Processing (ICASSP), 2021.
  9. Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian, Channel Pruning via Automatic Structure Search,  Intl Joint Conf. Artificial Intelligence., 2020, 673-679.
  10. Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian*, Towards Accurate Low Bit-width Quantization with Multiple Phase Adaptations, 31th AAAI Conf., 2020, 6591-6598.
  11. Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian*, Retina-like Visual Image Reconstruction via Spiking Neural Model, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1-9. ORAL
  12. Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian*, v AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  13. Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao, HRank: Filter Pruning using High-Rank Feature Map, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). ORAL
  14. Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian, Rethinking Performance Estimation in Neural Architecture Search, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  15. Zhongyi Huang, Yao Ding, GuoliSong, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen, BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting, 23th International Conference Medical Image Computing and Computer Assisted Interventions, 2020, 289-298.
  16. Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian*, Learning Open Set Network with Discriminative Reciprocal Points, 14th European Conf. Computer Vision, 2020, 507-522. Spotlight
  17. Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian*, Multiple Expert Brainstorming for Domain Adaptive Person Re-identification, 14th European Conf. Computer Vision, 2020, 594–611.
  18. Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian*, Masked Face Recognition with Latent Part Detection, 28th ACM Int’l Conf. Multimedia, Oct 2020, 2281–2289.
  19. Zeyuan Wang, Yifan Zhao, Jia Li*,  Yonghong Tian, Cooperative Bi-path Metric for Few-shot Learning, 28th ACM Int’l Conf. Multimedia, Oct 2020, 1524–1532.
  20. Peixi Peng, Yonghong Tian*, Yangru Huang, Xiangqian Wang, Huilong An, Discriminative Spatial Feature Learning for Person Re-Identification, 28th ACM Int’l Conf. Multimedia, Oct 2020, 1524–1532. ORAL
  21. Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian*, Yaowei Wang, José M. F. Moura, Compositional Few-Shot Recognition with Primitive Discovery and Enhancing, 28th ACM Int’l Conf. Multimedia, Oct 2020, 274–283. ORAL
  22. Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian*, Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking, Proc. 28th ACM Int’l Conf. Multimedia, Oct 2020, 2246–2254.
  23. Xin Wang, Wenwu Zhu, Yonghong Tian, Wen Gao, Multimedia Intelligence: When Multimedia Meets Artificial Intelligence, 28th ACM Int’l Conf. Multimedia, Oct 2020, 4775–4776.
  24. Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian, Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition, IEEE Winter Conference on Applications of Computer Vision (WACV 2020), 2020, 575-583.
  25. Peiyin Xing, Peixi Peng*, Yongsheng Liang, Tiejun Huang, Yonghong Tian*, Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition, 2019 Data Compression Conf., 572-572.
  26. Quan Zhang, Yemin Shi, Lechun Zhang, Yaowei Wang, Yonghong Tian*, Learning Compact Networks via Similarity-Aware Channel Pruning, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 145-148.
  27. Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang, Anonymous Model Pruning for Compressing Deep Neural Networks, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 157-160.
  28. Lihui Su, YaoWei Wang, Yonghong Tian, R-SiamNet: ROI-Align Pooling Baesd Siamese Network for Object Tracking, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 19-24.
  29. Peiyin Xing, Yaowei Wang, Peixi Peng*, Yonghong Tian*, Tiejun Huang, End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 233-236
  30. Zhaoyi Yan, Peiyin Xing, Yaowei Wang, Yonghong Tian, Prune it Yourself: Automated Pruning by Multiple Level Sensitivity, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020
  31. Bing He, Jia Li*, Yifan Zhao and Yonghong Tian, Part-regularized Near-Duplicate Vehicle Re-identification, IEEE Conf. Computer Vision and Pattern Recognition, 2019, 3997-4005. ORAL
  32. Limeng Qiao, Yemin Shi, Jia Li*, Yaowei Wang, Tiejun Huang and Yonghong Tian*, Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 3603-3612.
  33. Yifan Zhao, Jia Li*, Yu Zhang*, Yonghong Tian, Multi-class Part Parsing with Joint Boundary-Semantic Awareness, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 9177-9186. (Oral)
  34. Jinming Su, Jia Li*, Yu Zhang, Changqun Xia and Yonghong Tian*, Selectivity or Invariance: Boundary-aware Salient Object Detection, Proc. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, 3799-3808.
  35. Yafei Song, Yonghong Tian, Gang Wang and Mingyang Li, 2D LiDAR Map Prediction via Estimating Motion Flow with GRU, 2019 IEEE Int‘l Conf. Robotics and Automation (ICRA), 2019, 6617-6623.
  36. Zongxian Li, Sheng Li, Lantian Xue, Yonghong Tian*, Semi-Siamese Network for Content-based Video Relevance Prediction, IEEE Int’l Symp. Circuits and Systems (ISCAS), Sapporo, Japan, 2019,1-5.
  37. Jianing Li, Siwei Dong, Zhaofei Yu, Yonghong Tian*, Tiejun Huang, Event-based Vision Enhanced: A Joint Detection Framework in Autonomous Driving, 2019 IEEE Int’l Conf. Multimedia & Expo, Shanghai, China, 1396-1401.
  38. Zhu Lin, Siwei Dong, Tiejun Huang, Yonghong Tian*, A Retina-inspired Sampling Method for Visual Texture Reconstruction, 2019 IEEE Int’l Conf. Multimedia & Expo, Shanghai, China, 1432-1437.
  39. Yiqian Chang, Yemin Shi, Yaowei Wang, Yonghong Tian, Bi-directional Re-ranking for Person Re-identification, 2019 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 48-53 (EI20192006932324)
  40. Yafei Song, Di Zhu, Jia Li, Yonghong Tian and Mingyang Li, Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019).
  41. Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian*, Tiejun Huang, Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor, 2019 Data Compression Conf., 572-572.
  42. Siwei Dong, Zhu Lin, Daoyuan Xu, Yonghong Tian*, Tiejun Huang, An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals, 2019 Data Compression Conf., 568-568.
  43. Daoyuan Xu, Peiying Xing, Yaowei Wang, Yonghong Tian*, Efficient and Fast Coefficient Sign Inference for Video Coding, 2019 Data Compression Conf., 609-609.
  44. Sheng Li , Tingting Jiang, Tiejun Huang, Yonghong Tian, 3D Human Skeleton Data Compression for Action Recognition, 2019 IEEE Int’l Conf. Visual Communications and Image Processing, 2019
  45. Shupeng Su, Chao Zhang*, Kai Han, Yonghong Tian, Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN, Advances in Neural Information Processing Systems, 2018, 798-807. (EI20191806851736)
  46. Lu Pang, Yaowei Wang*, Yi-Zhe Song, Tiejun Huang, Yonghong Tian*, Cross-Domain Adversarial Feature Learning for Sketch Re-identification, ACM International Conf. Multimedia, 2018, Seoul, Republic of Korea, 609-617. (EI20185006246321)
  47. Zhichao Bi, Siwei Dong, Yonghong Tian* and Tiejun Huang*, Spike Coding for Dynamic Vision Sensors, Proc. 2018 Data Compression Conf., 117-126, April 2018, Snowbird, UT, USA. (EI 20183205660920)
  48. Yu Shu, Yemin Shi, Yaowei Wang*, Yixiong Zou, Qingsheng Yuan, Yonghong Tian*,ODN: Opening the Deep Networks for Open-Set Action Recognition, 2018 IEEE Int’l Conf. Multimedia & Expo, San Diego, USA (EI20190706508199)
  49. Zongxian Li, Yemin Shi, Yonghong Tian*, Wei Zeng, Yaowei Wang*, SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization, 2018 IEEE Int’l Conf. Multimedia & Expo, San Diego, USA (EI20190706508192)
  50. Yixiong Zou, Yemin Shi, Yaowei Wang*, Yu Shu, Qingsheng Yuan, Yonghong Tian*, Hierarchical Temporal Memory Enhanced One-shot Distance Learning for Action Recognition, 2018 IEEE Int’l Conf. Multimedia & Expo, San Diego, USA (EI 20190706509283)
  51. Yemin Shi, Yonghong Tian*, Yaowei Wang*, Tiejun Huang, Temporal Attentive Network for Action Recognition, 2018 IEEE Int’l Conf. Multimedia & Expo, San Diego, USA (EI 20190706509288)
  52. Li Ma, Yonghong Tian*, Tiejun Huang, Residual-Based Video Restoration for HEVC Intra Coding, 2018 IEEE Int’l Conf. Multimedia Big Data, Xian, China (EI20184806144093) (Best Paper Award)
  53. Haoran Chen, Yemin Shi, Yaowei Wang*, Tao Xiang, Mengyue Geng, Yonghong Tian, Deep Transfer Learning for Person Re-identification, 2018 IEEE Int’l Conf. Multimedia Big Data, Xian, China (EI 20184806144088)
  54. Chong Zhang, Zongxian Li, Qiong Liu, Yonghong Tian*, Wei Zeng, Yaowei Wang, Wenbai Chen, Toward Efficient Simultaneous Detection and Segmentation, Proc. 2018 IEEE Int’l Conf. Multimedia Big Data, Xian, China (EI 20184806144124)
  55. Ke Yan, Yonghong Tian*, Yaowei Wang, Wei Zeng, Tiejun Huang，Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles, International Conf. Computer Vision, 2017, 562 – 570. (EI20180704804222)
  56. Yemin Shi, Yonghong Tian*, Yaowei Wang, Wei Zeng, Tiejun Huang, Learning long-term dependencies for action recognition with a biologically-inspired deep network, Proc. International Conf. Computer Vision, 2017, 716 – 725. (EI20180704804238)
  57. Siwei Dong, Tiejun Huang* and Yonghong Tian*, Spike Camera and Its Coding Methods, 2017 Data Compression Conf., 4-7 April 2017, Snowbird, UT, USA, 437 – 437. (EI 20172303726225)
  58. Yumei Zhang, Yaowei Wang, Siwei Dong, Yonghong Tian, Peiyin Xing, Improved Advanced Motion Vector Prediction for Surveillance Video Coding, P IEEE Int’l Conf. Acoustics, Speech and Signal Processing, ICASSP, New Orleans, USA, Mar.2017
  59. Romain Vial, Hongyuan Zhu, Yonghong Tian, Shijian Lu, Search Video Action Proposal with Recurrent and Static YOLO, IEEE Int’l Conf. Image Processing, Sep. 2017. (EI 20181605019555)
  60. Dawei Liang, Ke Yan, Wei Zeng, Yaowei Wang, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian*, Deep Hashing with Mixed Supervised Losses for Image Search, 2017 IEEE Conf. Multimedia & Expo Workshop, Jul 2017, 507-512. (EI 20174304289059)
  61. Jiaying Yan, Yonghong Tian*, Yaowei Wang, Siwei Dong, Tiejun Huang, A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC, 2017 IEEE Conf. Multimedia & Expo Workshop, Jul 2017, 157 – 162. (EI 20174304288969)
  62. Dawei Liang, Ke Yan, Yaowei Wang, Wei Zeng, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian*, Deep Hashing with Multi-Task Learning for Large-Scale Instance-Level Vehicle Search. 2017 IEEE Conf. Multimedia & Expo Workshop, Jul 2017, 192-197. (EI 20174304289060)
  63. Shu Fang, Yang Yue, Liuyuan He, Kai Du*, Yonghong Tian*, Tiejun Huang*, Image Saliency Analysis based on Retina Simulation, IEEE Int’l Conf. Multimedia Big Data (BigMM 2017), Apr 20176, Taipei, Taiwan, China, 142-145. (EI 20173404069845)
  64. Mengyue Geng, Yaowei Wang, Tao Xiang, Yonghong Tian, Deep Transfer Learning for Person Re-identification, https://arxiv.org/abs/1611.05244, Jul 2017.
  65. Qiantong Xu, Ke Yan, Yonghong Tian, Learning a Repression Network for Precise Vehicle Search, https://arxiv.org/abs/1708.02386, Aug 2017.
  66. Peixi Peng, Tao Xiang, Yaowei Wang*, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian*, Unsupervised Cross-Dataset Transfer Learning for Person Re-identification, IEEE Conf. Computer Vision and Pattern Recognition, 2016, 1306 – 1315. (EI20163702804973)
  67. Hongye Liu, Yonghong Tian*, Yaowei Wang*, Lu Pang, Tiejun Huang, Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles, IEEE Conf. Computer Vision and Pattern Recognition, 2016, 2167-2175 (EI20163702805137)
  68. Ke Yan, Yaowei Wang*, Dawei Liang, Tiejun Huang, Yonghong Tian*, CNN vs. SIFT for Image Retrieval: Alternative or Complementary? ACM International Conf. Multimedia, Amsterdam, The Netherlands, 15 – 19 October 2016, 407-411. (EI20164603010675)
  69. Peixi Peng, Yonghong Tian*, Tao Xiang, Yaowei Wang*, Tiejun Huang, Joint learning of Semantic and Latent Attributes, 14th European Conf. Computer Vision, Amsterdam, The Netherlands, B. Leibe et al. (Eds.), Part IV, LNCS 9908, pp. 336–353, 2016. (CPCI-S WOS:000389385100021)
  70. Lin Ding, Yonghong Tian*, Hongfei Fan, Yaowei Wang, Tiejun Huang, High-efficiency Coding for Shaking Surveillance Videos Based on Global Motion Compensation, IEEE Int’l Conf. Multimedia Big Data (BigMM 2016), Apr 2016, Taipei, Taiwan, China, 259-265. (EI20163802813920)
  71. Mengyue Geng, Yaowei Wang*, Yonghong Tian*, Tiejun Huang, CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning, IEEE Int’l Conf. Multimedia Big Data (BigMM 2016), Apr 2016, Taipei, Taiwan, China, 186-193. (EI20163802813905)
  72. Lan Wei, Yonghong Tian*, Yaowei Wang, Tiejun Huang, Swiss-System based Cascade Ranking for Gait-based Person Re-identification, Proc. AAAI 2015, Jan 26, 2015.
  73. Zhengying Chen, Tingting Jiang, Yonghong Tian*, Quality Assessment for Comparing Image Enhancement Algorithms, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 3003-3010, 2014.
  74. Lan Wei, Yonghong Tian*, Yaowei Wang, Tiejun Huang, Multi-view Gait Recognition with Incomplete Training Data, Proc. 2014 IEEE Int’l Conf. Multimedia and Expo, Chengdu, China, 2014.
  75. Long Zhao, Yonghong Tian*, Tiejun Huang, Background-Foreground Division based Search for Motion Estimation in Surveillance Video Coding, Proc. 2014 IEEE Int’l Conf. Multimedia and Expo, Chengdu, China, 2014.
  76. Mengren Qian, Luntian Mou, Jia Li, and Yonghong Tian*. Video Picture-in-Picture Detection using Spatio-Temporal Slicing. Proc. ICME’2014 Workshop on Emerg. Multimedia Sys. and Appl., Chengdu, China, 2014.
  77. Peiyin Xing, Yonghong Tian*, Tiejun Huang, Wen Gao, Surveillance Video Coding with Quadtree Partition Based ROI Extraction, Proc. 30th Picture Coding Symposium, Dec 8-11, 2013, San Jose, California, 1-4.
  78. Peiyin Xing, Yonghong Tian*, Xianguo Zhang, Yaowei Wang, Tiejun Huang, A Coding Unit Classification Based AVC-to-HEVC Transcoding with Background Modeling for Surveillance Videos, Proc. 2013 IEEE Int’l Conf. Visual Communication and Image Processing, Kuching, Malaysia, Nov 2013.
  79. Jiaqiu Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wavelet Based Smoke Detection Method with RGB Constrast-Image and Shape Constraint, Proc. 2013 IEEE Int’l Conf. Visual Communication and Image Processing, Kuching, Malaysia, Nov 2013.
  80. Haocheng Wen, Yonghong Tian*, Tiejun Huang, Wen Gao, Single Underwater Image Enhancement with an Improved Optical Model, Proc. IEEE Int’l Symposium on Circuits and Systems (ISCAS), 2013, 753-756.
  81. Chaoran Gu, Luantian Mou, Yonghong Tian*, Tiejun Huang, MPLBoost-based Mixture Model for Effective Human Detection with Deformable Part Model, Proc. 2013 IEEE Int’l Conf. Multimedia and Expo, San Jose, CA, USA, 2013, 1-6.
  82. Xiaoyu Fang, Yonghong Tian*, Yaowei Wang, Chi Su, Teng Xu, Ziwei Xia, Peixi Peng, Wen Gao, Pair-wise Event Detection using Cubic Features and Sequence Discriminant Learning, Proc. 2013 IEEE Int’l Conf. Multimedia and Expo, San Jose, CA, USA, 2013, 1-6.
  83. Long Zhao, Xianguo Zhang, Yonghong Tian, Ronggang Wang, Tiejun Huang, A Background Proportion Adaptive Lagrange Multiple Selection Method for Surveillance Video on High Efficient Video Coding (HEVC), Proc. 2013 IEEE Int’l Conf. Multimedia and Expo, San Jose, CA, USA, 2013, 1-6.
  84. Xiaoyu Fang, Ziwei Xia, Chi Su, Teng Xu, Yonghong Tian*, Yaowei Wang, Tiejun Huang, A System based on Sequence Learning for Event Detection in Surveillance Video, Proc. 2013 IEEE Int’l Conf. Image Processing, Melbourne, Australia, 2013, 3587-3591.
  85. Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao, Overview of the IEEE 1857 Surveillance Groups, Proc. 2013 IEEE Int’l Conf. Image Processing, Melbourne, Australia, 2013, 1505-1509.
  86. Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao, Hierarchical-and-Adaptive Bit-allocation with Selective Background Prediction for High Efficiency Video Coding (HEVC), Proc. 2013 Data Compression Conference, 535.
  87. Lingxi Lu, Yonghong Tian, Tiejun Huang, Xihong Wu, Wen Gao, Liang Li, Imagery of a Face Enhances Event-Related Potentials to Ambiguous Visual Stimuli, Proc. Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, May 2013
  88. Peixi Peng, Yonghong Tian*, Yaowei Wang, Tiejun Huang, Multi-camera Pedestrian Detection with a Multi-view Bayesian Network Model, Proc. 2012 British Machine Vision Conf., paper 69, pp. 1-12, Guildford, UK, 2012.
  89. Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang*, Yonghong Tian*, Wei Zeng, Tiejun Huang, Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments, Proc. 2012 IEEE Ninth Int’l Conf. Advanced Video and Signal-Based Surveillance, pp. 494-499, Beijing, China, Sep 2012.（EI20124515644337）
  90. Wei Chen, Xianguo Zhang, Yonghong Tian, Tiejun Huang, An Efficient Surveillance Coding Method Based on a Timely and Bit-saving Background Updating Model, Proc. 2012 IEEE Int’l Conf. Visual Communication and Image Processing, San Jose, Nov 2012.
  91. Xianguo Zhang, Yonghong Tian, Tiejun Huang, Wen Gao, Low-complexity and High-efficiency Background Modeling for Surveillance Video Coding, Proc. 2012 IEEE Int’l Conf. Visual Communication and Image Processing, San Jose, Nov 2012, 1-6.
  92. Ziwei Xia, Xiaoyu Fang, Yaowei Wang, Wei Zeng, Hongming Zhang, Yonghong Tian*, PKU-NEC @ TRECVid 2012 SED: Uneven-Sequence Based Event Detection in Surveillance Video, Online Proc. TRECvid Workshop, Nov. 2012.
  93. Lan Wei, Yonghong Tian*, Yaowei Wang, Touradj Ebrahimi, Tiejun Huang, Automatic Webcam-based Human Heart Rate Measurements Using Laplacian Eigenmap, Proc. 11th Asian Conf. Computer Vision, Daejeon, Korean, Nov, 2012, 281-292.
  94. Shumin Han, Xianguo Zhang, Yonghong Tian, Tiejun Huang, An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured By Moving Camera, Proc. 2012 IEEE Ninth Int’l Conf. Advanced Video and Signal-Based Surveillance, Beijing, China, Sep 18 2012, 160-165.（EI20124515644282）
  95. Mingchao Geng, Xianguo Zhang, Yonghong Tian*, Luhong Liang, Tiejun Huang, A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video, Proc. 2012 IEEE Int’l Conf. Multimedia and Expo, pp. 61-67, Melbourne, Australia, Jul 2012.（EI20124515636441）
  96. Xianguo Zhang, Yonghong Tian*, Luhong Liang, Tiejun Huang, Wen Gao, Macro-Block-Level Selective Background Difference Coding for Surveillance  Video, Proc. 2012 IEEE Int’l Conf. Multimedia and Expo, pp. 1067-1072, Melbourne, Australia, Jul 2012.（EI20124515636611）
  97. Menglin Jiang, Yonghong Tian*, Tiejun Huang, Video Copy Detection Using a Soft Cascade of Multimodal Features, Proc. 2012 IEEE Int’l Conf. Multimedia and Expo, Melbourne, Australia, 374-379, 2012.（EI20124515636492）
  98. Luntian Mou, Xilin Chen, Yonghong Tian, Tiejun Huang. Robust and Disrimnative Image Authentication Based on Standard Model Feature, Proc. 2012 IEEE Int’l Symposium on Circuit & System, Seoul, Korea, 1131-1134, 2012.
  99. Yonghong Tian, Menglin Jiang, Luntian Mou, Xiaoyu Fang, Tiejun Huang. A Multimodal Video Copy Detection Approach with Sequential Pyramid Matching, Proc. IEEE Int’l Conf. Image Processing (ICIP 2011), Brussels, Belgium, Sep. 2011, 3690-3693. （EI20120514730536）
  100. Yonghong Tian, Tiejun Huang, Wen Gao. iULib: where UDL and Wikipedia could meet? Proc. SPIE, Imaging and Printing in a Web 2.0 World II. Vol. 7879, 2011,78790G-78790G-9.（EI20111313873048）
  101. Zhipeng Hu, Yaowei Wang, Yonghong Tian, Tiejun Huang. Selective Eigenbackgrounds Method For Background Subtraction In Crowded Scenes, Proc. IEEE Int’l Conf. Image Processing (ICIP 2011), Brussels, Belgium, Sep. 2011, 3338-3341. （EI20120514730426）
  102. Amogh Mahapatra, Xin Wan, Yonghong Tian, and Jaideep Srivastava. Augmenting Image Processing with Social Tag Mining for Landmark Recognition. Proc. 17th Int’l Multimedia Modeling Conf., MMM 2011, Jan 5-6, 2011, Taiwan, China, 273-283.（EI20110413622029）
  103. Luntian Mou, Tiejun Huang, Yonghong Tian, Shiguo Lian, Xilin Chen. Robust and Discriminative Image Authentication Based on Sparse Coding. Proc. 7th IEEE Int’l Workshop Digital Rights Management Impact on Consumer Communications in conjunction with 2011 IEEE Consumer Communications and Networking Conf., Las Vegas, NV, USA, 2011, 323-326.（EI20112314031524）
  104. Menglin Jiang, Shu Fang, Yonghong Tian*, Tiejun Huang, Wen Gao. PKU-IDM @ TRECVID 2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching. Online Proc. 2011 TRECVID Workshop, Gaithersburg, MD, USA, Dec 5-8, 2011.
  105. Xiaoyu Fang, Hongming Zhang, Chi Su, Teng Xu, Feng Wang, Shaopeng Tang, Ziwei Xia, Peixi Peng, Guoyi Liu, Yaowei Wang, Wei Zeng, Yonghong Tian*. PKU-NEC @ TRECVID 2011 SED: Sequence-Based Event Detection in Surveillance Video. Online Proc. 2011 TRECVID Workshop, Gaithersburg, MD, USA, Dec 5-8, 2011.
  106. Yuanning Li, Yonghong Tian, Wen Gao. Video Retargeting with Multi-scale Trajectory Optimization. Proc. 11th ACM SIGMM Int’l Conf. Multimedia Information Retrieval, Philadelphia, Pennsylvania, USA, 2010, 45-54.（EI20102012941174）
  107. Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang. Automatic interesting object extraction from images using complementary saliency maps. Proc. ACM Multimedia 2010, 891-894. （EI20110213569787）
  108. Guochen Jia, Yonghong Tian, Yaowei Wang, Tiejun Huang, Min Wang. Dynamic multi-cue tracking with detection responses association. Proc. ACM Multimedia 2010, 1171-1174. （EI20110213569857）
  109. Min Wang, Jia Li, Tiejun Huang, Yonghong Tian, Lingyu Duan, Guochen Jia. Saliency detection based on 2D log-gabor wavelets and center bias. Proc. ACM Multimedia 2010, 979-982. （EI20110213569809）
  110. Kaihua Jiang, Zhipeng Hu, Zhongwei Chen, Guochen Jia, Ten Xu, Qiong Hu, Guangcheng Zhang, Yaowei Wang, Lei Qin, Yonghong Tian*, Xihong Wu, Wen Gao. PKU@TRECVID2010: Pair-Wise Event Detection in Surveillance Video. Online Proc. TRECVID 2010 Workshop, Gaithesburg, MD, 2010.
  111. Yuanning Li, Luntian Mou, Chi Su, Xiaoyu Fang, Mengren Qian, Menglin Jiang, Yaowei Wang, Yonghong Tian*, Tiejun Huang, Wen Gao. PKU@TRECVID2010: Copy Detection with Visual-Audio Feature Fusion and Sequential Pyramid Matching. Online Proc. TRECVID 2010 Workshop, Gaithesburg, MD, 2010.
  112. Jingjing Yang, Yuanning Li, Yonghong Tian, Ningyu Duan, Wen Gao. Group-Sensitive Multiple Kernel Learning for Object Categorization. Proc. 12th IEEE Int’l Conf. Computer Vision, Kyoto, Japan, 2009, 436 – 443. （EI20102312998138）
  113. Yaowei Wang, Yonghong Tian, Lingyu Duan, Zhipeng Hu, and Guochen Jia. ESUR: A system for Events detection in SURveillance video. Proc. 17th IEEE Int’l Conf. Image Processing, Hongkong, China, 2009, 2317-2320.（EI20110213575315）
  114. Jingjing Yang, Yuanning Li, Yonghong Tian, Ningyu Duan, Wen Gao. Multiple Kernel Active Learning for Image Classification. Proc. IEEE Int’l Conf. Multimedia and Expo, Hilton Cancun, Cancun, Mexico, 2009, 550-553.（EI20094712492019）
  115. Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao. A Dataset and Evaluation Methodology for Visual Saliency in Video. Proc. IEEE Int’l Conf. Multimedia and Expo, Hilton Cancun, Cancun, Mexico, 2009, 442-445.（EI20094712491994）
  116. Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao. A New Multiple Kernel Approach for Visual Concept Learning, Proc. 15th Int’l Multimedia Modeling Conf., MMM 2009, LNCS 5371, Sophia-Antipolis, France, 2009, 250-262.（EI20090611898947）
  117. Rong Yang, Yonghong Tian, Tiejun Huang. DCT-Based Videoprinting on Saliency-Consistent Regions for Detecting Video Copies with Text Insertion. Proc. 10th Pacific Rim Conf. Multimedia, LNCS 5876, 2009, 797-806.（EI20100712707498）
  118. Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao. Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion. Evaluating Systems for Multilingual and Multimodal Information Access – Revised Selected Papers of 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, LNCS 5706, 2009, 763-770.（EI20094912525154）
  119. Zhipeng Hu, Guangnan Ye, Guochen Jia, Xibin Chen, Qiong Hu, Kaihua Jiang, Yaowei Wang, Lei Qing, Yonghong Tian, Xihong Wu, Wen Gao. PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in Surveillance Video, Online Proc. TRECVID 2009 Workshop, Gaithesburg, MD, 2009.
  120. Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao. Multi-polarity text segmentation using graph theory. Proc. 16th IEEE Int’l Conf. Image Processing, San Diego, CA, 2008, 3008-3011. （EI20093812310183）
  121. Jia Li, Yonghong Tian, Wen Gao. Exploring inter-frame correlation analysis and wavelet-domain modeling for real-time caption detection in streaming video. Proc. SPIE 6822, Visual Communication and Image Processing, (VCIP2008), San Jose, CA, USA. 2008, 68220F-1-12. （EI20082111275238）
  122. Ting Liu, Weiqiang Wang, Yonghong Tian, Tiejun Huang. Exploring the relationships of regions for visual content understanding. Proc. SPIE 6822, Visual Communication and Image Processing, (VCIP2008), San Jose, CA, USA. 2008, 6822G-1-8. （EI20082111270743）
  123. Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao. PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval. Online Proc. ImageCLEF 2008, 2008.
  124. Ting Liu, Yonghong Tian, and Wen Gao. A Two-Phase Spectral Bigraph Co-Clustering Approach for the Who Rated What Task in KDD Cup 2007. Proc. ACM KDDCup.07, San Jose, CA, Aug. 2007, 63-68.
  125. Chong Huang, Yonghong Tian, Zhi Zhou, Tiejun Huang. Towards Multi-granularity Multi-facet E-book Retrieval. Proc. 16th Int’l World Wide Web Conf. (WWW2007), Banff, Alberta, Canada, May 2007, 1331-1332.（EI20074310881599）
  126. Yonghong Tian, Tiejun Huang, Wen Gao. Robust Collective Classification with Contextual Dependency Network Models. Proc. 2nd Int’l Conf. Advanced Data Mining and Applications (ADMA), Aug. 2006, Xi’an, China, LNAI, Springer, 2006, 173-180. （WOS:000240088200019）（EI20064110162143）
  127. Kai Song, Yonghong Tian, Tiejun Huang, and Wen Gao. Diversifying the Image Retrieval Results. Proc. ACM Multimedia 2006, Santa Barbara, CA, Oct. 2006, 707-710. （EI20073110714796）
  128. Chong Huang, Yonghong Tian, Tiejun Huang, Charles X. Ling, and Zhi Zhou. Extracting Keyphrase using Semantic Network Analysis. Proc.2006 IEEE Int’l Conf. Data Mining, Dec. 2006, 275-284.（EI20074010847940）
  129. Chong Huang, Yonghong Tian, Tiejun Huang, and Wen Gao. Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. Proc. 2nd Int’l Conf. Advanced Data Mining and Applications, LNAI, Springer, Xi’an, China, Aug. 2006, 636-643.（WOS:000240088200070）（EI20064110162193）
  130. Kai Song, Yonghong Tian, and Tiejun Huang. Improving the Image Retrieval Results via Topic Coverage Map. Proc. 2006 Pacific-Rim Conf. Multimedia, LNCS, Hangzhou, P.R. China: Springer, Nov. 2006, 194-201.（EI20065010297224）
  131. Pingbo Kang, Yonghong Tian, Tiejun Huang, The Design and Implementation of Digital Library Resource Management System Based on Topic Map, Proc. 1st Int’l Conf. Universal Digital Library (ICUDL2005), Hangzhou, China, 2005, 9-14.
  132. Yonghong Tian, Wen Gao, Tie-Jun Huang. Context-Based Classification for Link Data. Proc. Int’l Conf. Web-Based Learning, Beijing, China, LNCS 3143, Springer, Aug. 2004, 233-240. （WOS:000223068900030）
  133. Yonghong Tian, Tiejun Huang, Wen Gao, Jun Cheng, PingBo Kang, Two-Phase Web Site Classification Based on Hidden Markov Tree Models. Proc. IEEE/WIC Int’l Conf. Web Intelligence (WIC 2003), Halifax, Canada, Oct. 2003, 227- 234.
  134. Yonghong Tian, Tiejun Huang, Wen Gao, A Web Site Mining Algorithm Using the Multiscale Tree Representation Model. Proc. WEBKDD’03 Workshop in conjunction with ACM KDD 2003 Conf., Washington DC, U.S.A, Aug, 2003, 83-92.
  135. Yonghong Tian, Zheng Mei, Tiejun Huang, Wen Gao, Incremental Learning for Interaction Dynamics with the Influence Model. Proc. LINKKDD’03 Workshop in conjunction with ACM KDD 2003 Conf., Washington DC, U.S.A, Aug, 2003.
  136. Yonghong Tian, Tiejun Huang, Wen Gao, Quantitatively Evaluating the Influence of Online Social Interactions in the Digital Library. Proc. IEEE/ACM Joint Conf. Digital Library, Portland, USA, Jul. 2002, 409. （EI2003097372159）
  137. Yonghong Tian, Tiejun Huang, Wen Gao, Algorithms of Integrated student modeling in online virtual educational community. Proc. 2011 Int’l Conf. Infor-Tech & Info-Net, 2001, 214-219.

  • Other articles

  1. Tiejun Huang, Xianguo Zhang, Yonghong Tian, Siwei Ma, Wen Gao, IEEE 1857 Standard for High Efficiency Surveillance Video Compression and Recognition, Security & Surveillance Electronics,2013.7,22-29. [In Chinese]
  2. Yonghong Tian, Tiejun Huang, Wen Gao, Social Multimedia Computing, Communication of China Computer Federation, 8(4),2012,8-13. [In Chinese]
  3. Pingbo Kang, Yonghong Tian, Tiejun Huang, Design and Implementation of Intelligent Internet Robot, Computer Engineering, 2004, 30(4), 88-92. [In Chinese]
  4. Yue Wu, Mingtian Zhou, Yonghong Tian. Object-Topic Model and Its Application in Mobile Decision Systems, Computer Science, 29(5), 2002. [In Chinese]
SOME PATENTS
  • A Fast Detection Approach and System of Static Text from Online Video Stream. Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao, 2007.
  • An Educational Resource Mata-Data Management Method and its Implementation.  Tiejun Huang, Yonghong Tian, Pingbo Kang, etc, 2008.
  • An Approach to automatically estimate the visual saliency of images and videos. Yonghong Tian, Jia Li, Tiejun Huang, Wen Gao, 2009.
  • Video Advertising Approach and System Based on Visual Saliency, Yonghong Tian, Jia Li, Lingyu Duan, Tiejun Huang, Wen Gao, 2009
  • Video AD Flag Insertion and Transform Approach and System with Visual Attention Modeling. Yonghong Tian, Jia Li, Wen Gao, 2008.
  • A Content-Based Video Attention Window Extraction Approach and System. Yuanning Li, Yonghong Tian, Wen Gao, 2008.
  • A Videoprint Extraction and Matching Approach and System using Inter-frame Variant Features. Tiejun Huang, Zheng Huang, Yonghong Tian, 2008.
  • Video AD Correlation Analysis Methods and Systems Based on Visual Saliency, Yonghong Tian, Jia Li, Lingyu Duan, Tiejun Huang, Wen Gao, 2009.
  • A Scalable and Adaptive Multi-kernel Categorization Approach, Yonghong Tian, Jingjing Yang, Yuanning Li, Lingyu Duan, Wen Gao, 2009.
  • A Two-dimensional Cross-media Meta-seach Approach and System, Yonghong Tian, Zhi Zhou, Tiejun Huang, Wen Gao, 2009.
  • An Automatic Interesting Object Extraction Method and System from Images using Complementary Saliency Maps. Yonghong Tian, Haonan Yu, Jia Li, Tiejun Huang. 2010
  • A Salient Object Extraction Method from Images, a Learning Method and System for Complementary Saliency Maps. Yonghong Tian, Haonan Yu, Jia Li, Tiejun Huang. 2010
  • A Select Eigenbackground Subtraction Method for Crowded Scenes. Tiejun Huang, Zhipeng Hu, Yonghong Tian. 2010.
  • Archived PCT: A Video Interesting Object Extraction and Association Method and System. Yonghong Tian, Haonan Yu, Jia Li, Yuncao Gao, Jun Zhang, Jun Yan. 2010.
  • Archived PCT: A Personalized Advertisement Recommendation Method and System using User Interest Learning. Jia Li, Yuncao Gao, Haonan Yu, Jun Zhang, Yonghong Tian, Jun Yan. 2010.