电子工程系

Department of Electronic Engineering 

 

Shengjin WANG, Ph.D. Professor

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Tel: (+8610) 62773710 (ext.303)

E-mail: wgsgj@tsinghua.edu.cn

 

Education background

DEPARTMENT OF the Precision and Intelligence Laboratory, Tokyo Institute of Technology, 1997

Doctor of ENGINEERING

DEPARTMENT OF ELECTRONIC ENGINEERING, Beijing Broadcasting Institute, Beijing, China, 1988

Master of ENGINEERING

DEPARTMENT OF ELECTRONIC ENGINEERING, TSINGHUA UNIVERSITY, BEIJING, CHINA, 1985

Bachelor of ENGINEERING

 

Experience

Professor (9/2003 – present)

DEPARTMENT OF ELECTRONIC ENGINEERING, TSINGHUA UNIVERSITY, BEIJING, CHINA

Assistant Manager( 04/2001-08/2003)

Internet System Research Laboratories, NEC Corporation, Japan,

Research Staff, (04/1997-03/2001)

Internet System Research Laboratories, NEC Corporation, Japan

Research Assistant, (09/1992 – 09/1993)

Precision and Intelligence Laboratory, Tokyo Institute of Technology, Tokyo, Japan

Research Assistant, (02/1988 - 04/1992)

Dept. of Communication Engineering, Beijing Broadcasting Institute , Beijing, China

 

Concurrent Academic

Undergraduate

Digital Image Processing

Graduate

Virtual Reality and Multimedia Interface

 

Areas of Research Interests/ Research Projects

Computer Vision and Pattern Recognition

Video Surveillance

Automatic Target Recognition

Object Detection and Tracking

EEG signal recognition and Brain Computer Interface

 

Academic Achievement

Publications:

[55] Yue Zheng, Yali Li, Shengjin Wang, Intention Oriented Image Captions with Guiding Objects, CVPR2019, accepted
[54] Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Shengjin Wang*, Jian Sun, Learning Visibility-aware Part-level Features with Self-supervision for Partial Person Re-identification, CVPR2019, accepted
[53] Zhongdao Wang, Shengjin Wang, Linkage Based Face Clustering via Graph Convolution Network, CVPR2019, accepted
[52] Yuxuan Zhu, Yali Li, Shengjin Wang, Unsupervised Deep Hashing with Adaptive Feature Learning for Image Retrieval, IEEE Signal Processing Letters, IEEE Signal Processing Letters On page(s): 1--5 Print ISSN: 1070-9908 Online ISSN: 1558-2361 Digital Object Identifier: 10.1109/LSP.2019.2892233
[51] Xiudong Wang, Yali Li, Shaodi You, Hongdong Li, and Shengjin Wang, Unidirectional Representation Based Efficient Dictionary Learning, IEEE Transactions on Circuits and Systems for Video Technology, page(s): 1-16 Print ISSN: 1051-8215 Online ISSN: 1558-2205 Digital Object Identifier: 10.1109/TCSVT.2018.2886600
[50] Jianqiang Wang, Yali Li, Shengjin Wang, A Highly Accurate Feature Fusion Network For Vehicle Detection In Surveillance Scenarios, BMVC2018, September 3, Newcastle, UK.
[49] Yifan Sun, Liang Zheng, Shengjin Wang, Beyond Part Models: Person Retrieval with Refined Part Pooling, ECCV2018, September, 2018. Munich, Germany.
[48] Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang and Ming-Hsuan Yang, Progressive Representation Adaptation for Weakly Supervised Object Localization, IEEE Trans PAMI, accepted in Jan. 2019.
[47] Qin Xu, Yifan Sun, Yali Li, Shengjin Wang, Improving Deep Representations with Feature Alignment Layer for Person Retrieval, ICPR2018, August 2018. (Best Paper Award)
[46] Lingxiao Wang, Yali Li, Shengjin Wang, Feature Learning For One-Shot Face Recognition, ICIP2018, October 7-10, 2018, Athens, Greece.
[45] Jingchun Cheng, Shengjin Wang, Ming-Hsuan Yang, Fast and Accurate Online Video Object Segmentation via Tracking Parts, CVPR2018, Jun 19, 2018 - Jun 21, 2018, Salt Lake City, USA
[44] Shu Han, Chen Dangdang, Li Yali, Wang Shengjin. A highly accurate facial region network for unconstrained face detection[C]// Image Processing(ICIP), 2017 IEEE International Conference on. IEEE, 2017:665-669.
[43] Dangdang Chen, Lanqing He, Shengming Yu, and Shengjin Wang. An Efficient and Accurate Face Verification Method Based on CNN Cascade Architeture. Proc of CAAI, 2017: 534-540.
[42] Jingchun Cheng, Shengjin Wang, Ming-Hsuan Yang, SegFlow: Joint Learning for Video Object Segmentation and Optical Flow, ICCV2017, Venice, Italy, Oct. 2017.
[41] Yifan Sun, Liang Zheng, Shengjin Wang, SVDNet for Pedestrian Retrieval, ICCV2017, Venice, Italy, Oct. 2017.
[40] Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan,Shengjin Wang, Hongsheng Li, Xiaogang Wang, Orientation Invariant Feature Embedding and Spatial Temporal Re-ranking for Vehicle Re-identification, ICCV2017, Venice, Italy, Oct. 2017.
[39] Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang, Learning to Segment Instances in Videos with Spatial Propagation Network, The 2017 DAVIS Challenge on Video Object Segmentation - CVPR 2017 Workshops.  Win 6th Place Award.
[38] Ziqiong Liu, Shengjin Wang, Qi Tian, Robust ImageGraph: Rank-Level Feature Fusion for Image Search, IEEE Transactions on Image Processing, pp. 3128-3141, Volume: 26, No.7, 2017.(SCI).
[37]  Li Yali, Liu Hongma, Wang Shengjin. Exploiting eeg channel correlations in p300 speller paradigm for brain-computer interface[J]. IEICE TRANSACTIONS on Information and Systems, 2016, 99(6): 1653-1662.(SCI源刊.影响因子0.411)
[36] Dong Li, Shengjin Wang, Unsupervised Visual Representation Learning by Graph-based Consistent Constraints, ECCV2016.
[35] Liang Zheng, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang*,Qi Tian, MARS: A Video Benchmark for Large-Scale Person Re-Identification, ECCV2016, 17 September 2016.
[34] Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang, Weakly Supervised Object Localization with Progressive Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), Las Vegas, USA, June, 2016.
[33] Hongchuan Liu, Yali Li, Hongma Liu, Shengjin Wang, Bagging Regularized Common Spatial Pattern With Hybrid Motor Imagery and Myoelectric Signal, ICASSP2016, May, 2016, shanghai, China.
[32] Liang Zheng, Shengjin Wang, Jingdong Wang, and Qi Tian, "Accurate Image Search with Multi-Scale Contextual Evidences", International Journal of Computer Vision (IJCV), 2016:1-13, 2016. 
[31] Dong Li, Yali Li, Shengjin Wang,  Discriminative Middle-Level Parts Mining for Object Detection, IEICE Transactions on Information and Systems, Vol.E98-D, No.11, pp.1950-1957, Jan. 2015 (SCI).
[30] Liang Zheng, Shengjin Wang, Liyue Shen, Lu Tian, Qi Tian, Scalable Person Re-identification: A Benchmark, ICCV2015, Santiago, Chile, Dec.2015.
[29] Xu Zhang, Felix Xinnan Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang, Fast Orthogonal Projection Based on Kronecker Product, ICCV2015, Santiago, Chile, Dec.2015.
[28] Ziqiong Liu, Shengjin Wang, Qi Tian, Fine-residual VLAD for image retrieval, Neurocomputing, Vol 173(3), 2016, pp. 1183-1191 DOI information: 10.1016/j.neucom.2015.08.076 影响因子: 2.083.
[27] Dong Li, Yali Li, Shengjin Wang, Selective Parts for Fine-Grained Recognition, In Proceedings of International Conference on Image Processing (ICIP2015), Quebec, Canada, Sept. 2015.
[26] Taiqing Wang, Shaogang Gong, Xiatian Zhu,Shengjin Wang, Re-Identification by Discriminative Selection in Video Ranking, IEEE Transactions on Pattern Recognition and Machine Intelligence (PAMI), pp.2501-2514, VOL. 38, NO. 12, DECEMBER 2016, 02/2016; DOI: 10.1109/TPAMI.2016.2522418. (Impact Factor: 5.78)
[25] Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification, IEEE Transactions on Neural Networks and Learning Systems, 2016.(SCI,Impact factor 4.291)
[24] Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, Feature representation for statistical learning based object detection: a review, Pattern Recognition, pp.3542-3559, vol.48, 2015. (SCI)
[23] Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, A survey of recent advances in visual feature detection, Neurocomputing, Pages 736–751, Volume 149, Part B, 3 February 2015. (SCI)
[22] Lu Tian, Shengjin Wang, Person Re-identification as Image Retrieval Using Bag of Ensemble Colors, IEICE Transactions on Information and Systems, Vol.E98-D,No.1,pp. 180-188, Jan. 2015 (SCI)
[21] Liang Zheng, Shengjin Wang, Lu Tian, Fei He, and Qi Tian, "Black Sheep Out: Query Adaptive Fusion for Image Search and Person Re-identification", International Conference on Computer Vision and Pattern Recognition (CVPR2015), pp. 1741-1750, in Boston, USA, June, 2015.
[20] Xu Zhang, Fei He, Lu Tian, Shengjin Wang, Cognitive Pedestrian Detector: Adapting Detector to Specific Scene by Transferring Attributes, Neurocomputing, Pages 800-810, Volume 149, Part B, 3 February 2015
[19] Jie Liu, Shengjin Wang, Salient Region Detection via Simple Local and Global Contrast Representation, Neurocomputing, Pages 435-443, Volume 147, 5 January 2015
[18] Fei He and Shengjin Wang, Beyond χ2 Difference: Learning Optimal Metric for Boundary Detection, IEEE Signal Processing Letters, Vol 22,  No. 1,  pp. 40-44, Jan. 2015
[17] Yali Li, Shengjin Wang, Qi Tian, Xiaoqing Ding, Learning Cascaded Shared-Boost Classifiers for Part-based Object Detection, IEEE Transactions on Image Processing, pp.1858-1871,Volume:23,No.4, 2014. DOI: 10.1109/ TIP.2014.2307432(SCI)
[16] Taiqing Wang, Shaogang Gong, Xiatian Zhu, Shengjin Wang, Person Re-identification by Video Ranking, European Conference on Computer Vision (ECCV2014), September 8-12, 2014, pp.688-703, Zurich, Switzerland.
[15] Zheng L, Wang S, Liu Z, Tian Q. Fast Image Retrieval: Query Pruning and Early Termination. IEEE Transactions on Multimedia, 2014, 17(5): 648-659. (SCI源刊,影响因子1.776)
[14] Liang Zheng, Shengjin Wang, Peizhen Guo, Hanyue Liang, and Qi Tian, Tensor Index for Large Scale Image Retrieval, Multimedia Systems, Oct. 2014 (SCI源刊,影响因子0.443;EI收录,检索号:20144300116846)
[13] Ziqiong Liu, Shengjin Wang, Liang Zheng, Qi Tian, Visual Reranking with improved image graph, ICASSP2014(International Conference On Acoustics Speech and Signal Processing), IEEE catalog number: CFP14ICA-USB,pp.6939-6943,4-9 May 2014 in Florence, Italy. ISBN: 978-1-4799-2892-7
[12] Liang Zheng, Shengjin Wang, and Qi Tian, Lp-norm IDF for Scalable Image Retrieval, IEEE Transactions on Image Processing, Vol 23, No. 8, pp. 3604-3617, June, 2014.
[11] Liang Zheng, Shengjin Wang, and Qi Tian, Coupled Binary Embedding for Scalable Image Retrieval, IEEE Transactions on Image Processing, Vol 23, No. 8, pp. 3368-3380, June, 2014.
[10] Yuan LIN, Shengjin WANG, Pose-free Face Swapping Based on a Deformable 3D Shape Morphable Model, IEICE Transactions on Information and Systems, pp. 305-314,Vol.E97-D,No.2, Feb. 2014 (SCI)
[9] Taiqing Wang, Shengjin Wang, Xiaoqing Ding,Detecting Human Action as Spatio-Temporal Tube of Maximum Mutual Information,IEEE Transactions on Circuits and Systems for Video Technology, pp.277-290, Vol.24, No.2, 2014, DOI:10.1109/TCSVT.2013.2276856 (SCI)
[8] Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian,Packing and Padding: Coupled Multi-index for Accurate Image Retrieval, CVPR2014, pp. 1947-1954, in Columbus, Ohio, USA, June, 2014
[7] Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian,Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval, CVPR2014, pp. 1963-1970, in Columbus, Ohio, USA, June, 2014
[6] Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian. Lp-norm IDF for large scale image search. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2013), pp. 1626-1633, June 23-28, 2013,Portland, OR, United states, EI 20134616982674
[5] Liang Zheng, Shengjin Wang. Visual phraselet: refining spatial constraints for large scale image search. IEEE Signal Processing Letters, Vol. 20, No. 4, pp. 391-394, April, 2013.
[4] Gu Junxia, Ding Xiaoqing, Wang Shengjin, Wu Youshou. Action and gait recognition from recovered 3D human joints. IEEE Transactions on Systems, Man, and Cybernetics, Part B,Vol.40, No.4, pp.1021-1033, August, 2010 (SCI源刊). SCI 656PJ
[3] Yali Li, Shengjin Wang, and Xiaoqing Ding, Person-Independent Head Pose Estimation Based On Random Forrest Regression. In Proceedings of International Conference on Image Processing (ICIP2010), pp.1521-1524, September 26-29, 2010, Hong Kong. EI 20110213575002, Inspec 11690716
[2] Yali Li, Shengjin Wang, Xiaoqing Ding, Eye/eyes tracking based on a unified deformable template and particle filtering, Pattern Recognition Letters, Volume: 31,  Issue: 11,   pp.1377-1387, AUG 2010 . SCI: 000279834800018, or SCI: IDS Number: 624QO. (SCI, 624QO)
[1] Yun Lei, Xiaoqing Ding, and Shengjin Wang. Visual Tracker Using Sequential Bayesian Learning: Discriminative, Generative and Hybrid, IEEE Trans. on Systems, Man And Cybernetics-Part B, Vol.38, No.6, pp.1578-1591, December, 2008。SCI 378GZ