Jingdong Wang
Visual Computing Group Phone: (+86)13661386588 (M) (+8610)59173786 (O)
Microsoft Research Asia Fax: (86-10) 88099511
13/F, Building 2 welleast@outlook.com
No. 5 Danling Street, Haidian District https://jingdongwang2017.github.io/
Beijing 100080, P.R.China
Education
Ph.D, Computer Science 2004.09-2007.08
The Hong Kong University of Science and Technology
M.Eng, Automation 2001.09-2004.07
Tsinghua University
Excellent master degree thesis award
B.Eng, Automation 1997.09-2001.07
Tsinghua University
Rank: 1/150
Research Interests
Computer vision and multimedia search
Deep learning and CNN architecture design, person re-identification, large scale indexing, large scale image
search, salient object detection, human understanding, image segmentation, image recognition.
Machine learning and pattern recognition
Large scale machine learning, graph-based learning, probabilistic graphical modeling, kernel methods, spec-
tral clustering.
Work Experience
Ph.D Supervisor 2017.09-present
University of Science and Technology, China
Senior Researcher 2017.09-present
Microsoft Research Asia
Lead Researcher 2013.09-2017.08
Microsoft Research Asia
Researcher 2012.03-2013-08
Microsoft Research Asia
Associate Researcher 2007.09-2012.02
Microsoft Research Asia
Research and Teaching Assistants 2004.09-2007.08
The Hong Kong University of Science and Technology
Advisor: Long Quan
Research Intern 2005.07-2005.12
Microsoft Research Asia 2003.09-2004.05
Mentor: Heung-Yeung Shum
Research Assistant 2001.09-2004.07
Tsinghua University
Advisor: Changshui Zhang
Professional Activities
Area chair/track chair/senior programme committee member
AAAI 2019, ACMMM 2018, IJCAI 2018, AAAI 2018, ICPR 2018, ICCV 2017, CVPR 2017, ECCV 2016,
ACMMM 2015, ICIP 2017, ICME 2015, ICME 2012
Organizers
ICME 2019, workshop co-chair
ACM ICMR 2014, special session co-chair
Associate editors/editorial board members
IEEE Transactions on Circuits and Systems for Video Technology (Jan., 2018 - )
IEEE Transactions on Multimedia (May, 2016 - )
Neurocomputing (April, 2015 - May, 2017)
Multimedia Tools and Applications (October, 2011 - )
Workshop co-chairs
Target Re-Identification and Multi-Target Multi-Camera Tracking (CVPR 2017)
The 1st International Workshop on Deep Learning for Pattern Recognition (DLPR2016), (ICPR 2016)
Big Media Data: Understanding, Search, and Mining (ICDM 2015)
Advances in LargeScale Multimedia Data Collection, Mining and Retrieval (ICME 2012)
Special issue guest editor
Fine-grained image categorization (IEEE Trans. Pattern Anal. Mach. Intell., ongoing)
Intelligent urban computing with big data (Machine Vision and Applications, 2017)
Big Media Data: Understanding, Search, and Mining (IEEE Transactions on Big Data, 2016)
Ad Hoc Web Multimedia Analysis with Limited Supervision (Multimedia Tools and Applications, 205)
Programme committee members or conference reviewers
ICML (2018), ICLR (2018), CVPR (2009 - 2016, 2018), ICCV (2007/09/11/13/15), ECCV (2010/12/14),
ACMMM (2009/12/13/14/17), NIPS (2014 - 2017) SIGIR (2011/13), SIGGRAPH Asia (2010), SIGKDD
(2010), SIGCHI (2010), IJCAI (2011/13), ICMR (2011/12), ICME (2009/10/11), CIVR (2010), IJCNN
(2007/09), ACCV (2007), ICPR (2006)
Journal reviewers
TPAMI, IJCV, JMLR, TIP, TKDE, TCSVT, TMM, PR, TOIS, TOSN, TOMM, TIST, CVIU, MVA, IVC
Honors and Awards
IAPR Fellow 2018
Best paper runner up Workshop on Big Data Analytics for Social Computing 2018
Best paper award finalist ACMMM 2015
Outstanding reviewer CVPR 2014
Gold star Microsoft 2009
Graduate Fellowship HKUST 2004-2007
Excellent Master Degree Thesis Award Tsinghua University 2004
Excellent Master Scholarship Tsinghua University 2003
Title of Graduate with Honors (top 5%) Tsinghua University 2001
Rockwell Scholarship Tsinghua University 2000
Friend-Eastern Communications Scholarship Tsinghua University 1999
Outstanding Student Scholarship Tsinghua University 1998
ii
Publications (Google Scholar citations: 10000+, h-index: 45)
Google Scholar citations to my articles (PDF Document Clickable Link):
https://scholar.google.com/citations?user=z5SPCmgAAAAJ&hl=en
The interns and supervisees are in bold.
Book
[1] Jingdong Wang. Graph Based Image Segmentation: A Modern Approach. ISBN-10:
3639110749, ISBN-13: 978-3639110746. VDM Verlag Dr. Muller Aktiengesellschaft & Co.
KG. 2008.
Book chapters
[1] Jingdong Wang, Jing Wang, Gang Zeng, Rui Gan, Shipeng Li, and Baining Guo. Fast
Neighborhood Graph Search using Cartesian Concatenation. Multimedia Data Mining and
Analytics: Disruptive Innovation. Edited by Aaron K. Baughman, Jiang Gao, Jia-Yu Pan,
and Valery Petrushin, 397-417, Springer, 2015.
[2] Jingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, and Shipeng Li. Fast Approximate K-
Means via Cluster Closures. Multimedia Data Mining and Analytics: Disruptive Innova-
tion. Edited by Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, and Valery Petrushin, 373-395,
Springer, 2015.
[3] Jingdong Wang, Yinghai Zhao, and Xian-Sheng Hua. Image Search by Color Map. Internet
Multimedia Search and Mining. Edited by Xian-Sheng Hua, Marcel Worring, and Tat-Seng
Chua. Bentham Science Publishers, 2010.
Technical reports
[1] Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, and Wenjun Zeng. On the connection of
deep fusion to ensembling. CoRR, abs/1611.07718, 2016.
[2] Jingdong Wang, Zhen Wei, Ting Zhang, and Wenjun Zeng. Deeply-fused nets. CoRR,
abs/1605.07716, 2016.
Top referred journals: TPAMI (8), IJCV (7), TOG (3), TIP (5), TMM (5), TOMM (2), TKDE (1)
[1] Jingdong Wang and Ting Zhang. Composite quantization. IEEE Trans. Pattern Anal. Mach.
Intell., Accepted, 2018.
[2] Hong Liu, Rongrong Ji, Jingdong Wang, and Chunhua Shen. Ordinal constraint binary
coding for approximate nearest neighbor search. IEEE Trans. Pattern Anal. Mach. Intell.,
Accepted, 2018.
[3] Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen. A survey
on learning to hash. IEEE Trans. Pattern Anal. Mach. Intell., 40(4):769-790, 2018.
[4] Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, Baocai Yin, and Junbin Gao. Multi-
Dimensional Sparse Models. IEEE Trans. Pattern Anal. Mach. Intell., 40(1):163-178, 2018.
[5] Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, and Ke
Lu. Learning Correspondence Structures for Person Re-identification. IEEE Trans. Image
Processing, 26(5):2438-2453, 2017.
[6] Dapeng Chen, Zejian Yuan, Jingdong Wang, Gang Hua, and Nanning Zheng. Examplar-
Guided Similarity Learning on Polynomial Feature Map for Person Re-Identfication. Interna-
tional Journal of Computer Vision, 123(3):392-414, 2017.
[7] Jingdong Wang, Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Xiaowei Hu, and Nanning
Zheng. Salient Object Detection: A Discriminative Regional Feature Integration Approach.
International Journal of Computer Vision, 123(2):251-268, 2017.
iii
[8] Lingxi Xie, JingdongWang, Weiyao Lin, Bo Zhang, and Qi Tian. Towards Reversal-Invariant
Image Representation. International Journal of Computer Vision, 123(2):226-250, 2017.
[9] Dapeng Chen, Zejian Yuan, Gang Hua, Jingdong Wang, and Nanning Zheng. Multi-
timescale collaborative tracking. IEEE Trans. Pattern Anal. Mach. Intell., 39(1):141–155,
2017.
[10] Liang Zheng, Shengjin Wang, Jingdong Wang, and Qi Tian. Accurate image search with
multi-scale contextual evidences. International Journal of Computer Vision, 120(1):1–13,
2016.
[11] Dingwen Zhang, Junwei Han, Chao Li, Jingdong Wang, and Xuelong Li. Detection of
co-salient objects by looking deep and wide. International Journal of Computer Vision,
120(2):215–232, 2016.
[12] Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu, Yueting Zhuang, Jingdong Wang, and Xuelong
Li. Joint multilabel classification with community-aware label graph learning. IEEE Trans.
Image Processing, 25(1):484–493, 2016.
[13] Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, and Tao Mei. A diffusion
and clustering-based approach for finding coherent motions and understanding crowd scenes.
IEEE Trans. Image Processing, 25(4):1674–1687, 2016.
[14] Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling,
and Jingdong Wang. Deepsaliency: Multi-task deep neural network model for salient object
detection. IEEE Trans. Image Processing, 25(8):3919–3930, 2016.
[15] Jingkuan Song, Heng Tao Shen, Jianfeng Wang, Zi Huang, Nicu Sebe, and Jingdong Wang.
A distance-computation-free search scheme for binary code databases. IEEE Trans. Multime-
dia, 18(3):484–495, 2016.
[16] Jinhui Tang, Xiangbo Shu, Zechao Li, Guo-Jun Qi, and Jingdong Wang. Generalized
deep transfer networks for knowledge propagation in heterogeneous domains. TOMCCAP,
12(4s):68:1–68:22, 2016.
[17] Jianfeng Wang, Jingdong Wang, Jingkuan Song, Xin-Shun Xu, Heng Tao Shen, and Shipeng
Li. Optimized cartesian k-means. IEEE Trans. Knowl. Data Eng., 27(1):180–192, 2015.
[18] Lingxi Xie, Jingdong Wang, Bo Zhang, and Qi Tian. Fine-grained image search. IEEE
Trans. Multimedia, 17(5):636–647, 2015.
[19] Jingdong Wang, Naiyan Wang, You Jia, Jian Li, Gang Zeng, Hongbin Zha, and Xian-Sheng
Hua. Trinary-projection trees for approximate nearest neighbor search. IEEE Trans. Pattern
Anal. Mach. Intell., 36(2):388–403, 2014.
[20] Jingdong Wang, Huaizu Jiang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, and
Long Quan. Regularized tree partitioning and its application to unsupervised image segmen-
tation. IEEE Trans. Image Processing, 23(4):1909–1922, 2014.
[21] Qinghua Huang, Bisheng Chen, Jingdong Wang, and Tao Mei. Personalized video recom-
mendation through graph propagation. TOMCCAP, 10(4):32:1–32:17, 2014.
[22] Peng Wang, Gang Zeng, Rui Gan, Jingdong Wang, and Hongbin Zha. Structure-sensitive
superpixels via geodesic distance. International Journal of Computer Vision, 103(1):1–21,
2013.
[23] Houqiang Li, Yang Wang, Tao Mei, Jingdong Wang, and Shipeng Li. Interactive multimodal
visual search on mobile device. IEEE Trans. Multimedia, 15(3):594–607, 2013.
[24] Tianjia Shao, Weiwei Xu, Kun Zhou, Jingdong Wang, Dongping Li, and Baining Guo. An
interactive approach to semantic modeling of indoor scenes with an RGBD camera. ACM
Trans. Graph., 31(6):136:1–136:11, 2012.
iv
[25] Tie Liu, Zejian Yuan, Jian Sun, Jingdong Wang, Nanning Zheng, Xiaoou Tang, and Heung-
Yeung Shum. Learning to detect a salient object. IEEE Trans. Pattern Anal. Mach. Intell.,
33(2):353–367, 2011.
[26] Xinmei Tian, Linjun Yang, Jingdong Wang, Xiuqing Wu, and Xian-Sheng Hua. Bayesian
visual reranking. IEEE Trans. Multimedia, 13(4):639–652, 2011.
[27] Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, and Long Quan. Linear neighbor-
hood propagation and its applications. IEEE Trans. Pattern Anal. Mach. Intell., 31(9):1600–
1615, 2009.
[28] Tie Liu, Jingdong Wang, Jian Sun, Nanning Zheng, Xiaoou Tang, and Heung-Yeung Shum.
Picture collage. IEEE Trans. Multimedia, 11(7):1225–1239, 2009.
[29] Long Quan, Jingdong Wang, Ping Tan, and Lu Yuan. Image-based modeling by joint segmen-
tation. International Journal of Computer Vision, 75(1):135–150, 2007.
[30] Ping Tan, Gang Zeng, Jingdong Wang, Sing Bing Kang, and Long Quan. Image-based tree
modeling. ACM Trans. Graph., 26(3):87, 2007.
[31] Long Quan, Ping Tan, Gang Zeng, Lu Yuan, Jingdong Wang, and Sing Bing Kang. Image-
based plant modeling. ACM Trans. Graph., 25(3):599–604, 2006.
Referred journals
[1] Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Mark Zhang, Fei Wu, Jingdong Wang, Yue Ting
Zhuang, Xuelong Li. A bilinear ranking SVM for knowledge based relation prediction and
classification. IEEE Trans. Big Data, Accepted, 2018.
[2] Ruoyu Liu, Shikui Wei, Yao Zhao, Zhenfeng Zhu, and Jingdong Wang. Multi-View Cross-
Media Hashing with Semantic Consistency. IEEE MultiMedia, Accepted, 2018.
[3] Baoguang Shi, Xiang Bai, Wenyu Liu, and Jingdong Wang. Face Alignment with Deep
Regression. IEEE Trans. Neural Netw. Learning Syst., 29(1):183-194, 2018.
[4] Lingxi Xie, Jingdong Wang, Bo Zhang, and Qi Tian. Incorporating visual adjectives for
image classification. Neurocomputing, 182:48–55, 2016.
[5] Min Tan, Baoyuan Wang, Zhaohui Wu, Jingdong Wang, and Gang Pan. Weakly supervised
metric learning for traffic sign recognition in a lidar-equipped vehicle. IEEE Trans. Intelligent
Transportation Systems, 17(5):1415–1427, 2016.
[6] Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, and Shuicheng Yan. Dual low-rank
pursuit: Learning salient features for saliency detection. IEEE Trans. Neural Netw. Learning
Syst., 27(6):1190–1200, 2016.
[7] Shiyang Lu, Tao Mei, Jingdong Wang, Jian Zhang, Zhiyong Wang, and Shipeng Li. Ex-
ploratory product image search with circle-to-search interaction. IEEE Trans. Circuits Syst.
Video Techn., 25(7):1190–1202, 2015.
[8] Weiwei Xu, Zhouxu Shi, Mingliang Xu, Kun Zhou, Jingdong Wang, Bin Zhou, Jinrong Wang,
and Zhenming Yuan. Transductive 3d shape segmentation using sparse reconstruction. Com-
put. Graph. Forum, 33(5):107–115, 2014.
[9] Jingdong Wang, Jiazhen Zhou, Hao Xu, Tao Mei, Xian-Sheng Hua, and Shipeng Li. Im-
age tag refinement by regularized latent dirichlet allocation. Computer Vision and Image
Understanding, 124:61–70, 2014.
[10] Shiyang Lu, Tao Mei, Jingdong Wang, Jian Zhang, Zhiyong Wang, and Shipeng Li.
Browse-to-search: Interactive exploratory search with visual entities. ACM Trans. Inf. Syst.,
32(4):18:1–18:27, 2014.
[11] Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, and Guojun Qi. Recom-
mending flickr groups with social topic model. Inf. Retr., 15(3-4):278–295, 2012.
v
[12] Tianjia Shao, Weiwei Xu, KangKang Yin, Jingdong Wang, Kun Zhou, and Baining Guo.
Discriminative sketch-based 3d model retrieval via robust shape matching. Comput. Graph.
Forum, 30(7):2011–2020, 2011.
[13] Jingdong Wang, Liyan Jia, and Xian-Sheng Hua. Interactive browsing via diversified visual
summarization for image search results. Multimedia Syst., 17(5):379–391, 2011.
[14] Jingdong Wang, Yinghai Zhao, Xiuqing Wu, and Xian-Sheng Hua. A transductive multi-
label learning approach for video concept detection. Pattern Recognition, 44(10-11):2274–2286,
2011.
[15] Jingdong Wang and Xian-Sheng Hua. Interactive image search by color map. ACM TIST,
3(1):12:1–12:23, 2011.
[16] Zheng-Jun Zha, Tao Mei, Jingdong Wang, Zengfu Wang, and Xian-Sheng Hua. Graph-
based semi-supervised learning with multiple labels. J. Visual Communication and Image
Representation, 20(2):97–103, 2009.
[17] Fei Wang, Jingdong Wang, Changshui Zhang, and James T. Kwok. Face recognition using
spectral features. Pattern Recognition, 40(10):2786–2797, 2007.
[18] Jianguo Lee, Jingdong Wang, Changshui Zhang, and Zhaoqi Bian. Visual object recognition
using probabilistic kernel subspace similarity. Pattern Recognition, 38(7):997–1008, 2005.
Top refereed conferences: CVPR (23), ICCV (14), ECCV (5), ACMMM (13), ICML (3), SIGIR (3), KDD
(1), IJCAI (3), AAAI (1)
[1] Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, and Jingdong Wang. Deep Triplet Quan-
tizationt. In Proceedings of the 2018 ACM Conference on Multimedia Conference, MM 2018.
[2] Hao Xiao, Weiyao Lin, Bin Sheng, Ke Lu, Junchi Yan, Jingdong Wang, Errui Ding, Yihao
Zhang, Hongkai Xiong. Group Re-Identification: Leveraging and Integrating Multi-Grain
Information. In Proceedings of the 2018 ACM Conference on Multimedia Conference, MM
2018.
[3] Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, and Kyoung Mu Lee. Part-Aligned Bi-
linear Representations for Person Re-identification. In Computer Vision - ECCV 2018 - 15th
European Conference.
[4] Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhuowen Tu, Zhaoxiang Zhang, Yueting
Zhuang, and Jingdong Wang. Deep Convolutional Neural Networks with Merge-and-Run
Mappings. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial
Intelligence, IJCAI 2018.
[5] Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, and Guo-Jun
Qi. IGCV2: Interleaved Structured Sparse Convolutional Neural Networks. In IEEE/CVF
Conference on Computer Vision and Pattern Recognition, CVPR 2018.
[6] Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, and Jingdong Wang. Weakly-
Supervised Semantic Segmentation Network with Deep Seeded Region Growing. In IEEE/CVF
Conference on Computer Vision and Pattern Recognition, CVPR 2018.
[7] Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, and Xian-Sheng Hua.
Global versus Localized Generative Adversarial Nets. In IEEE/CVF Conference on Computer
Vision and Pattern Recognition, CVPR 2018.
[8] Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, and Jingdong Wang. Coupled
Convolutions for CNNs. In Proceedings of the Thirty-Second AAAI Conference on Artificial
Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 2018.
[9] Ting Zhang, Guo-Jun Qi, Bin Xiao, and Jingdong Wang. Interleaved Group Convolutions.
In IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October
22-29, 2017, pages 4383-4392, 2017.
vi
[10] Liming Zhao, Xi Li, Yueting Zhuang, and Jingdong Wang. Deeply-Learned Part-Aligned
Representations for Person Re-Identification. In IEEE International Conference on Computer
Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, pages 3239-3248, 2017.
[11] Ke Sun, Cuiling Lan, Junliang Xing, Jingdong Wang, Wenjun Zeng, Dong Liu. Human
Pose Estimation using Global and Local Normalization. In IEEE International Conference on
Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, pages 5600-5608, 2017.
[12] Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian. Ensemble
Diffusion for Retrieval. In IEEE International Conference on Computer Vision, ICCV 2017,
Venice, Italy, October 22-29, 2017, pages 774-783, 2017.
[13] Lixin Liao, Yao Zhao, Shikui Wei, and Jingdong Wang. Finding the Secret of CNN Pa-
rameter Layout under Strict Size Constraint. In Proceedings of the 2017 ACM on Multimedia
Conference, MM 2017, Mountain View, CA, USA, October 23-27, 2017, pages 997–1005, 2017.
[14] Guo-Jun Qi, Jiliang Tang, Jingdong Wang, and Jiebo Luo. Mixture Factorized Ornstein-
Uhlenbeck Processes for Time-Series Forecasting. In Proceedings of the 23rd ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada,
August 13 - 17, 2017, pages 987–995, 2017.
[15] Gangming Zhao, Jingdong Wang, and Zhaoxiang Zhang. Random Shifting for CNN: a
Solution to Reduce Information Loss in Down-Sampling Layers. In Proceedings of the Twenty-
Fourth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Aus-
tralia, August 19-25, 2017, pages 3476–3482, 2017.
[16] Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, and Qi Tian. Interactive: Inter-
layer activeness propagation. In 2016 IEEE Conference on Computer Vision and Pattern
Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, pages 270–279, 2016.
[17] Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. Supervised
quantization for similarity search. In 2016 IEEE Conference on Computer Vision and Pattern
Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, pages 2018–2026, 2016.
[18] Ting Zhang and Jingdong Wang. Collaborative quantization for cross-modal similarity
search. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016,
Las Vegas, NV, USA, June 27-30, 2016, pages 2036–2045, 2016.
[19] Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, and Qi Tian. Disturblabel: Regu-
larizing CNN on the loss layer. In 2016 IEEE Conference on Computer Vision and Pattern
Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, pages 4753–4762, 2016.
[20] Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, and Alan L. Yuille. Geometric neural phrase
pooling: Modeling the spatial co-occurrence of neurons. In Computer Vision - ECCV 2016 -
14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings,
Part I, pages 645–661, 2016.
[21] Liang Zheng, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang, and Qi Tian.
MARS: A video benchmark for large-scale person re-identification. In Computer Vision -
ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016,
Proceedings, Part VI, pages 868–884, 2016.
[22] Qi Dai, Jianguo Li, Jingdong Wang, and Yu-Gang Jiang. Binary optimized hashing. In
Proceedings of the 2016 ACM Conference on Multimedia Conference, MM 2016, Amsterdam,
The Netherlands, October 15-19, 2016, pages 1247–1256, 2016.
[23] Jian Liang, Zhihang Li, Dong Cao, Ran He, and Jingdong Wang. Self-paced cross-modal sub-
space matching. In Proceedings of the 39th International ACM SIGIR conference on Research
and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016, pages
569–578, 2016.
vii
[24] Dapeng Chen, Zejian Yuan, Gang Hua, Nanning Zheng, and Jingdong Wang. Similarity
learning on an explicit polynomial kernel feature map for person re-identification. In IEEE
Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA,
June 7-12, 2015, pages 1565–1573, 2015.
[25] Dingwen Zhang, Junwei Han, Chao Li, and Jingdong Wang. Co-saliency detection via
looking deep and wide. In IEEE Conference on Computer Vision and Pattern Recognition,
CVPR 2015, Boston, MA, USA, June 7-12, 2015, pages 2994–3002, 2015.
[26] Ting Zhang, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. Sparse composite quantization.
In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA,
USA, June 7-12, 2015, pages 4548–4556, 2015.
[27] Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, and Qi Tian. RIDE: reversal invariant
descriptor enhancement. In 2015 IEEE International Conference on Computer Vision, ICCV
2015, Santiago, Chile, December 7-13, 2015, pages 100–108, 2015.
[28] Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian. Scalable
person re-identification: A benchmark. In 2015 IEEE International Conference on Computer
Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, pages 1116–1124, 2015.
[29] Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, and Jingdong Wang. Person
re-identification with correspondence structure learning. In 2015 IEEE International Confer-
ence on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, pages 3200–
3208, 2015.
[30] Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang, and Jingdong Wang. Quantized
correlation hashing for fast cross-modal search. In Proceedings of the Twenty-Fourth Interna-
tional Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July
25-31, 2015, pages 3946–3952, 2015.
[31] Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. Weakly-shared deep transfer
networks for heterogeneous-domain knowledge propagation. In Proceedings of the 23rd Annual
ACM Conference on Multimedia Conference, MM ’15, Brisbane, Australia, October 26 - 30,
2015, pages 35–44, 2015.
[32] Lingxi Xie, Jingdong Wang, Baining Guo, Bo Zhang, and Qi Tian. Orientational pyramid
matching for recognizing indoor scenes. In 2014 IEEE Conference on Computer Vision and
Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014, pages 3734–3741,
2014.
[33] Weiyue Wang, Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Jingdong Wang, and Bin Sheng.
Finding coherent motions and semantic regions in crowd scenes: A diffusion and clustering
approach. In Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland,
September 6-12, 2014, Proceedings, Part I, pages 756–771, 2014.
[34] Ting Zhang, Chao Du, and Jingdong Wang. Composite quantization for approximate
nearest neighbor search. In Proceedings of the 31th International Conference on Machine
Learning, ICML 2014, Beijing, China, 21-26 June 2014, pages 838–846, 2014.
[35] Jianfeng Wang, Heng Tao Shen, Shuicheng Yan, Nenghai Yu, Shipeng Li, and Jingdong
Wang. Optimized distances for binary code ranking. In Proceedings of the ACM International
Conference on Multimedia, MM ’14, Orlando, FL, USA, November 03 - 07, 2014, pages 517–
526, 2014.
[36] Huaizu Jiang, Jingdong Wang, Zejian Yuan, Yang Wu, Nanning Zheng, and Shipeng Li.
Salient object detection: A discriminative regional feature integration approach. In 2013
IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June
23-28, 2013, pages 2083–2090, 2013.
[37] Peng Wang, Jingdong Wang, Gang Zeng, Weiwei Xu, Hongbin Zha, and Shipeng Li. Super-
vised kernel descriptors for visual recognition. In 2013 IEEE Conference on Computer Vision
and Pattern Recognition, Portland, OR, USA, June 23-28, 2013, pages 2858–2865, 2013.
viii
[38] Naiyan Wang, Jingdong Wang, and Dit-Yan Yeung. Online robust non-negative dictionary
learning for visual tracking. In IEEE International Conference on Computer Vision, ICCV
2013, Sydney, Australia, December 1-8, 2013, pages 657–664, 2013.
[39] Jing Wang, Jingdong Wang, Gang Zeng, Rui Gan, Shipeng Li, and Baining Guo. Fast
neighborhood graph search using cartesian concatenation. In IEEE International Conference
on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013, pages 2128–2135,
2013.
[40] Honghui Zhang, Jingdong Wang, Ping Tan, Jinglu Wang, and Long Quan. Learning crfs
for image parsing with adaptive subgradient descent. In IEEE International Conference on
Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013, pages 3080–3087, 2013.
[41] Quannan Li, Jingdong Wang, David P. Wipf, and Zhuowen Tu. Fixed-point model for
structured labeling. In Proceedings of the 30th International Conference on Machine Learning,
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and Expo Workshops, Melbourne, Australia, July 9-13, 2012, pages 319–324, 2012.
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delegates representation. In Proceedings of the 20th ACM Multimedia Conference, MM ’12,
Nara, Japan, October 29 - November 02, 2012, pages 885–888, 2012.
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Conference, MM ’12, Nara, Japan, October 29 - November 02, 2012, pages 1133–1136, 2012.
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object segmentation based on context and shape prior. In British Machine Vision Conference,
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combine multi-resolution spatially-weighted co-occurrence matrices for image representation.
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collections by cross-media representativeness voting. In Proceedings of the 2009 IEEE Inter-
national Conference on Multimedia and Expo, ICME 2009, June 28 - July 2, 2009, New York
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Tutorial and Seminars
Person re-identification: recent advances and challenges Tutorial FG 2018
CNN Architecture Design: from Deeper to Wider Keynote ACM ICIMCS 2017
Patents
Computing visual and textual summaries for tagged image collections US patent 9092673 1 2015/7/28
Intelligent image search results summarization and browsing US patent 8774526 1 2014/7/8
Bayesian video search reranking US patent 8180766 2 2012/5/15
Approximate K-means via cluster closures US patent 9710493 1 2017/7/18
Transductive multi-label learning for video concept detection US patent 8218859 1 2012/7/10
Contextual dominant color name extraction US patent 8873845 1 2012/7/10
Interactive multi-modal image search US patent 9411830 2 2016/8/9
Optimized KD-tree for scalable search US patent 8645380 1 2014/2/4
Hybrid neighborhood graph search for scalable visual indexing US patent 8370363 1 2013/2/5
Reranking using confident image samples US patent 9384241 1 2016/7/5
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Salient object segmentation US patent 9042648 1 2015/5/26
Document-related representative information US patent 8712991 1 2014/4/29
Interactively ranking image search results using color layout relevance US patent 8369656 1 2013/2/5
Concept-structured image search US patent 8706740 2 2014/4/22
Image searching by approximate K-NN graph US patent 8705870 1 2014/4/22
Product Transfer
Neighborhood graph search Shipped to Bing index, 2017
Fast human detection Shipped to XiaoIce, 2017
How-Old Fashion Shipped to XiaoIce, 2016
How-Old 2.0 Shipped to XiaoIce, 2015
Celebrity for chat Shipped to XiaoIce, 2015, 2017
Similar image search for image chat Shipped to XiaoIce, 2015
Similar video search for video chat Shipped to XiaoIce, 2015
Similarity search Shipped to Ads Selection, 2015
XiaoIce book recognition Shipped to Weibo in XiaoIce, 2014
Nearest neighbor search Shipped to Microsoft Bing image search in 2014.
Image match Shipped to Microsoft Bing image search in 2014.
Visual attribute enhanced image relevance ranker Shipped to Microsoft Bing image search in 2012.
Cognitive service. 2015
Dominant color filter Shipped to Microsoft Bing image search, 2012
Image search by color map Shipped to Microsoft Bing image search, 2010
Interns and students ever working with me
Jingchun Cheng Tsinghua University (18)
Weijian Xu UCSD (18)
Yifan Liu Beihang University (18)
Yao Qin UCSD (18)
Ke Sun USTC (17-18)
Shichen Liu Tsinghua University (17-18)
Depu Meng USTC (17-18)
Mingji Li USTC (17-18)
Junran Peng IA, CAS (17)
Chong Shang Tsinghua University (17)
Guotian Xie Sun Yat-Sen University (17)
Peng Tang Huazhong University of Science & Technology (16-
17)
Song Bai Huazhong University of Science & Technology (16-
17)
Gangming Zhao IA, CAS (17)
Kexin Zhang Peking University (17)
Yumin Suh Seoul National University, Korea (16-17)
Yajie Xing Peking University (16-17)
Shuang Li Tsinghua University (16)
Ryosuke Furuta The University of Tokyo, Japan (16)
Yanzhao Wu USTC (16)
Jun He HeFei University of Technology (16)
Liheng Zhang University of Central Florida (16)
Liming Zhao Zhejiang University (16)
Zilong Huang Huazhong University of Science & Technology (16)
xiv
Xun Huang Beihang University (16)
Xiaojuan Wang Sun Yat-Sen University (15)
Zhen Wei Shanghai Jiao Tong University (15)
Wei Tang IA, CAS (15)
Qiqi hou Xi’an Jiaotong University (15)
Ning Xu UIUC (15)
Liang Zheng Tsinghua University (14-15)
Jiaming Song Tsinghua University (14)
Tianxiao Shen Tsinghua University (14)
Jianqiu Ji Tsinghua University (14)
Fan Liu Nanjing University of Science & Technology (14)
Baoguang Shi Huazhong University of Science & Technology (14)
Dapeng Chen Xi’an Jiaotong University (14)
Falong Shen Peking University (13-14)
Lingxi Xie Tsinghua University (13)
Ting Zhang USTC (13)
Xianjie Chen University of California, Los Angeles (13)
Chongxuan Li Tsinghua University (13)
Chao Du Tsinghua University (13-14)
Jingkuan Song The University of Queensland, Australia (12-13)
Chuang Gan Beihang University (12-13)
Zhansheng Jiang Shanghai Jiao Tong University (12-13)
Yupeng Gu USTC (12-13)
Shiyu Chang UIUC (12)
Jianfeng Wang USTC (12-13)
Weiwen Tu Sun Yat-Sen University (11)
Tiansheng Yao Zhejiang University (11)
Dongqing Zhang Shanghai Jiao Tong University (11)
Peng Wang Peking University (11-13)
Xianghang Liu University of New South Wales, Australia (11)
Jiazhen Zhou Peking University (11) Columbia University
Junyang Lu Peking University (11) Columbia University
Xiang Ren Zhejiang University (11) UIUC
Nobuyuki Morioka University of New South Wales, Australia (11) Google
Naiyan Wang Zhejiang University (10-11) HKUST
Huaizu Jiang Xi’an Jiaotong University (10-11)
Shijie Xu Beihang University (10)
Jing Wang Peking University (10-13)
Bin Cheng National University of Singapore (10)
Biao Wang Tsinghua University (10)
Wenhao Lu Tsinghua University (10)
Zhe Zhao Peking University (09-10) University of Michigan
Xiangang Chen Nanyang Technological University (09)
Jue Xie Monash University, Melbourne, Australia (09)
Hao Xu USTC (08-09)
You Jia Peking University (09) CMU, Facebook
Liyan Jia Tsinghua University (09) Cornell University
Heng Zhang Peking University (08-09)
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Yang Hu USTC (08)
Darui Li USTC (08)
Yinghai Zhao USTC (08)
Xuan Huang USTC (07-08)
Jianxiong Xiao HKUST
Fei Wang Tsinghua University (05-06) IBM T. J. Watson Research Lab
Yangqing Jia Tsinghua University (07) University of California, Berkeley
Dan Zhang Tsinghua University (07, 10) Purdue University
Mingjie Qian Tsinghua University (09) UIUC
Beijing, July 21, 2018
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