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
Neural architecture design, human pose estimation, semantic segmentation, object detection, image classifi-
cation, large scale indexing, large scale image search, salient object detection.
Machine learning and pattern recognition
Large scale machine learning, graph-based learning, probabilistic graphical modeling, kernel methods, spec-
tral clustering.
Work Experience
Senior Principal Research Manager (formerly Principal Research Manager) 2019.09 - present
Microsoft Research Asia
Ph.D Supervisor 2017.09 - present
University of Science and Technology, China
Principal Researcher (formerly Senior Researcher) 2017.09 - 2019.08
Microsoft Research Asia
Principal Researcher (formerly Lead Researcher) 2015.09 - 2017.08
Microsoft Research Asia
Senior Researcher (formerly Lead Researcher) 2013.09 - 2015.08
Microsoft Research Asia
Senior Researcher (formerly Researcher) 2012.03 - 2013.08
Microsoft Research Asia
Researcher (formerly 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/track chair
CVPR 2021, AAAI 2021, IJCAI 2021, ECCV 2020, CVPR 2020, IJCAI 2020, ICCV 2019, IJCAI 2019,
ACMMM 2018, ICCV 2017, CVPR 2017, ECCV 2016, ACMMM 2015, ICPR 2018, ICIP 2017, ICME
2015, ICME 2012
Senior programme committee member
AAAI 2019, IJCAI 2018, AAAI 2018
Conference organizers
ACMMM 2021, open source software chair
ACMMM Asia 2020, general chair
ICME 2019, workshop co-chair
ACM ICMR 2014, special session co-chair
Associate editors/editorial board members
IEEE Transactions on Pattern Analysis and Machine Intelligence (Sept., 2018 - )
IEEE Transactions on Circuits and Systems for Video Technology (Jan., 2018 - )
IEEE Transactions on Multimedia (May, 2016 - May 2020)
Neurocomputing (April, 2015 - May, 2017)
Multimedia Tools and Applications (October, 2011 - )
Workshop organizers
The 2nd workshop and challenge on Target Re-Identification and Multi-Target Multi-Camera Tracking
(CVPR 2019)
The 2nd International Workshop on Deep Learning for Pattern Recognition (DLPR2018), (ICPR 2018)
The 1st workshop on 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 - 2019), CVPR (2009 - 2016, 2018), ICCV (2007/09/11/13/15), ECCV
(2010/12/14), ACMMM (2009/12/13/14/17), NIPS (2014 - 2018) 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)
ii
Journal reviewers
TPAMI, IJCV, JMLR, TIP, TKDE, TCSVT, TMM, PR, TOIS, TOSN, TOMM, TIST, CVIU, MVA, IVC
Honors and Awards
Outstanding service award ICME 2019
ACM Distinguished Member 2018
COCO keypoints detection challenge Second place (ECCV 2018) 2018
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
Publications (Google Scholar citations: 22448, h-index: 68)
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 (12), IJCV (8), TOG (3), TIP (8), TMM (6), TOMM (2), TKDE (1)
iii
[1] Yuhui Yuan, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen and Jingdong Wang. OC-
Net: Object Context for Semantic Segmentationn. International Journal of Computer Vision,
2021.
[2] Yan Huang, Jingdong Wang, and Liang Wang. Few-Shot Image and Sentence Matching via
Aligned Cross-Modal Memory. IEEE Trans. Pattern Anal. Mach. Intell., 2021.
[3] Dengpan Fu, Bo Xin, Jingdong Wang, Dongdong Chen, Jianmin Bao, Gang Hua and
Houqiang Li Improving Person Re-Identification With Iterative Impression Aggregations.
IEEE Trans. Image Processing., Accepted, 2020.
[4] Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao,
Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao. Deep High-
Resolution Representation Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach.
Intell., 2020.
[5] Yifan Liu, Changyong Shu, Jingdong Wang, and Chunhua Shen. Structured Knowledge
Distillation for Dense Prediction. IEEE Trans. Pattern Anal. Mach. Intell., 2020.
[6] Zilong Huang, Chunyu Wang, Xinggang Wang, Wenyu Liu, and Jingdong Wang Semantic
Image Segmentation by Scale-Adaptive Networks. IEEE Trans. Image Processing., Accepted,
2019.
[7] Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, and Jingdong Wang. Object De-
tection in Videos by High Quality Object Linking. IEEE Trans. Pattern Anal. Mach. Intell.,
2020.
[8] Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki and Qi Tian. Auto-
matic Ensemble Diffusion for 3D Shape and Image Retrieval. IEEE Trans. Image Processing.,
28(1):88-101, 2019.
[9] Jingdong Wang and Ting Zhang. Composite quantization. IEEE Trans. Pattern Anal. Mach.
Intell., 2019.
[10] 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.
[11] 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.
[12] 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.
[13] Qiurui Wang, Chun Yuan, Jingdong Wang and Wenjun Zeng. Learning Attentional Recur-
rent Neural Network for Visual Tracking. IEEE Trans. Multimedia, 2018.
[14] 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.
[15] Dap eng Chen, Zejian Yuan, Jingdong Wang, Gang Hua, and Nanning Zheng. Examplar-
Guided Similarity Learning on Polynomial Feature Map for Person Re-Identification. Inter-
national Journal of Computer Vision, 123(3):392-414, 2017.
[16] 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.
[17] 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.
[18] Dap eng 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.
iv
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] Lingxi Xie, Jingdong Wang, Bo Zhang, and Qi Tian. Fine-grained image search. IEEE
Trans. Multimedia, 17(5):636–647, 2015.
[28] 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.
[29] 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.
[30] Qinghua Huang, Bisheng Chen, Jingdong Wang, and Tao Mei. Personalized video recom-
mendation through graph propagation. TOMCCAP, 10(4):32:1–32:17, 2014.
[31] 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.
[32] 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.
[33] 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.
[34] 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.
[35] Xinmei Tian, Linjun Yang, Jingdong Wang, Xiuqing Wu, and Xian-Sheng Hua. Bayesian
visual reranking. IEEE Trans. Multimedia, 13(4):639–652, 2011.
v
[36] 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.
[37] Tie Liu, Jingdong Wang, Jian Sun, Nanning Zheng, Xiaoou Tang, and Heung-Yeung Shum.
Picture collage. IEEE Trans. Multimedia, 11(7):1225–1239, 2009.
[38] 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.
[39] Ping Tan, Gang Zeng, Jingdong Wang, Sing Bing Kang, and Long Quan. Image-based tree
modeling. ACM Trans. Graph., 26(3):87, 2007.
[40] 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] Guotian Xie, Kuiyuan Yang, Ting Zhang, Jingdong Wang, and Jianhuang Lai. Balanced De-
coupled Spatial Convolution for CNNs. IEEE Trans. Neural Netw. Learning Syst., Accepted,
2019.
[2] Shengkang Yu, Xi Li, Xueyi Zhao, Zhongfei Mark Zhang, Fei Wu, Jingdong Wang, Yue Ting
Zhuang, and Xuelong Li. A bilinear ranking SVM for knowledge based relation prediction and
classification. IEEE Trans. Big Data, Accepted, 2018.
[3] Ruoyu Liu, Shikui Wei, Yao Zhao, Zhenfeng Zhu, and Jingdong Wang. Multi-View Cross-
Media Hashing with Semantic Consistency. IEEE MultiMedia, Accepted, 2018.
[4] 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.
[5] Lingxi Xie, Jingdong Wang, Bo Zhang, and Qi Tian. Incorporating visual adjectives for
image classification. Neurocomputing, 182:48–55, 2016.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
vi
[14] 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.
[15] 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.
[16] Jingdong Wang and Xian-Sheng Hua. Interactive image search by color map. ACM TIST,
3(1):12:1–12:23, 2011.
[17] 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.
[18] Fei Wang, Jingdong Wang, Changshui Zhang, and James T. Kwok. Face recognition using
spectral features. Pattern Recognition, 40(10):2786–2797, 2007.
[19] 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 (32), ICCV (16), ECCV (9), ACMMM (13), ICML (4), SIGIR (3), KDD
(1), IJCAI (3), AAAI (1), NIPS (1)
[1] Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, and Jingdong
Wang. Lite-HRNet: A Lightweight High-Resolution Network. In IEEE/CVF Conference on
Computer Vision and Pattern Recognition, CVPR 2021.
[2] Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, and Jingdong Wang. Bottom-Up Hu-
man Pose Estimation Via Disentangled Keypoint Regression. In IEEE/CVF Conference on
Computer Vision and Pattern Recognition, CVPR 2021.
[3] Xiaokang Chen, Yuhui Yuan, Gang Zeng, and Jingdong Wang. Semi-Supervised Semantic
Segmentation with Cross Pseudo Supervision. In IEEE/CVF Conference on Computer Vision
and Pattern Recognition, CVPR 2021.
[4] Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, and Jingdong Wang Infor-
mative Dropout for Robust Representation Learning: A Shape-bias Perspective. In Proceedings
of the 37th International Conference on Machine Learning, ICML 2020.
[5] Yuhui Yuan, Xilin Chen, and Jingdong Wang. Object-Contextual Representations for Seman-
tic Segmentation. In European Conference Computer Vision, ECCV 2020.
[6] Yuhui Yuan, Jingyi Xie, Xilin Chen, and Jingdong Wang. SegFix: Model-Agnostic Boundary
Refinement for Segmentation. In European Conference Computer Vision, ECCV 2020.
[7] Yifan liu, Chunhua Shen, Changqian Yu, and Jingdong Wang Efficient Semantic Video
Segmentation with Per-frame Inference. In European Conference Computer Vision, ECCV
2020.
[8] Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, and Stephen Lin. Point-Set Anchors
for Object Detection, Instance Segmentation and Pose Estimation. In European Conference
Computer Vision, ECCV 2020.
[9] Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, and Lei Zhang.
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation.
In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020.
[10] Baifeng Shi, Qi Dai, Yadong Mu, and Jingdong Wang. Weakly-Supervised Action Localiza-
tion by Generative Attention Modeling. In IEEE/CVF Conference on Computer Vision and
Pattern Recognition, CVPR 2020.
[11] Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu,
and Mingkui Tan. Closed-Loop Matters: Dual Regression Networks for Single Image Super-
Resolution. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR
2020.
vii
[12] Jianing Li, Jingdong Wang, Qi Tian, Wen Gao, and Shiliang Zhang Global-Local Temporal
Representations For Video Person Re-Identification. In IEEE/CVF International Conference
on Computer Vision, ICCV 2019.
[13] Haib o Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, and Wenjun Zeng Cross View
Fusion for 3D Human Pose Estimation. In IEEE/CVF International Conference on Computer
Vision, ICCV 2019.
[14] Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang. Deep High-Resolution Representation
Learning for Human Pose Estimation. In IEEE/CVF Conference on Computer Vision and
Pattern Recognition, CVPR 2019.
[15] Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang. Structured
Knowledge Distillation for Semantic Segmentation. In IEEE/CVF Conference on Computer
Vision and Pattern Recognition, CVPR 2019.
[16] Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu.
S4Net: Single Stage Salient-Instance Segmentation. In IEEE/CVF Conference on Computer
Vision and Pattern Recognition, CVPR 2019.
[17] Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, and Junzhou
Huang Weakly Supervised Dense Event Captioning in Videos. In Proceedings of Advances in
Neural Information Processing Systems, NIPS 2018.
[18] 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.
[19] 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.
[20] Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, and Kyoung Mu Lee. Part-Aligned Bilin-
ear Representations for Person Re-identification. In European Conference Computer Vision,
ECCV 2018.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
viii
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
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constraints. In Proceedings of the 19th International Conference on Multimedia 2011, Scotts-
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Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, pages 873–882, 2011.
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Refereed conferences
[1] Ke Sun, Mingjie Li, Dong Liu, and Jingdong Wang. IGCV3: Interleaved Low-Rank Group
Convolutions for Efficient Deep Neural Network. In British Machine Vision Conference,
BMVC 2018, 2018.
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Transferability of the Convolutional Neural Network. In Workshop on Big Data Analytics for
Social Computing (BDASC18), Melbourne, Australia, June 3-6, 2018.
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for Representation Regularization. In ICLR, 2018.
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ReLU to Train Better CNNs. In ICPR, 2018.
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neighbor search in the hamming space. In MultiMedia Modeling - 22nd International Confer-
ence, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I, pages 325–336,
2016.
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verification. In 17th IEEE International Workshop on Multimedia Signal Processing, MMSP
2015, Xiamen, China, October 19-21, 2015, pages 1–6, 2015.
[7] Shengnan Cai, Jingdong Wang, and Long Quan. How fashion talks: Clothing-region-based
gender recognition. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and
Applications - 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November
2-5, 2014. Proceedings, pages 515–523, 2014.
[8] Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, and Wenpeng Ding. Two dimensional
analysis sparse model. In IEEE International Conference on Image Processing, ICIP 2013,
Melbourne, Australia, September 15-18, 2013, pages 310–314, 2013.
[9] Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, and Baocai Yin. Two dimensional synthesis
sparse model. In Proceedings of the 2013 IEEE International Conference on Multimedia and
Expo, ICME 2013, San Jose, CA, USA, July 15-19, 2013, pages 1–6, 2013.
[10] Yingwei Pan, Ting Yao, Kuiyuan Yang, Houqiang Li, Chong-Wah Ngo, Jingdong Wang, and
Tao Mei. Image search by graph-based label propagation with image representation from
DNN. In ACM Multimedia Conference, MM ’13, Barcelona, Spain, October 21-25, 2013,
pages 397–400, 2013.
[11] Peng Wang, Dongqing Zhang, Gang Zeng, and Jingdong Wang. Contextual dominant color
name extraction for web image search. In 2012 IEEE International Conference on Multimedia
and Expo Workshops, Melbourne, Australia, July 9-13, 2012, pages 319–324, 2012.
[12] Weiwen Tu, Rong Pan, and Jingdong Wang. Similar image search with a tiny bag-of-
delegates representation. In Proceedings of the 20th ACM Multimedia Conference, MM ’12,
Nara, Japan, October 29 - November 02, 2012, pages 885–888, 2012.
[13] Bisheng Chen, Jingdong Wang, Qinghua Huang, and Tao Mei. Personalized video recom-
mendation through tripartite graph propagation. In Proceedings of the 20th ACM Multimedia
Conference, MM ’12, Nara, Japan, October 29 - November 02, 2012, pages 1133–1136, 2012.
[14] Shiyang Lu, Tao Mei, Jingdong Wang, Jian Zhang, Zhiyong Wang, David Dagan Feng, Jian-
Tao Sun, and Shipeng Li. Browse-to-search. In Proceedings of the 20th ACM Multimedia
Conference, MM ’12, Nara, Japan, October 29 - November 02, 2012, pages 1323–1324, 2012.
[15] Jing Wang, Jingdong Wang, Xian-Sheng Hua, and Shipeng Li. Scalable similar image search
by joint indices. In Proceedings of the 20th ACM Multimedia Conference, MM ’12, Nara,
Japan, October 29 - November 02, 2012, pages 1325–1326, 2012.
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Li. Color filter for image search. In Proceedings of the 20th ACM Multimedia Conference, MM
’12, Nara, Japan, October 29 - November 02, 2012, pages 1327–1328, 2012.
[17] Huaizu Jiang, Jingdong Wang, Zejian Yuan, Tie Liu, and Nanning Zheng. Automatic salient
object segmentation based on context and shape prior. In British Machine Vision Conference,
BMVC 2011, Dundee, UK, August 29 - September 2, 2011. Proceedings, pages 1–12, 2011.
[18] Jingdong Wang and Xian-Sheng Hua. Web-scale image search by color sketch. In Proceedings
of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28
- December 1, 2011, pages 751–752, 2011.
[19] Hao Xu, Jingdong Wang, Xian-Sheng Hua, and Shipeng Li. Hybrid image summarization. In
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA,
November 28 - December 1, 2011, pages 1217–1220, 2011.
[20] Xiangang Cheng, Jingdong Wang, Liang-Tien Chia, and Xian-Sheng Hua. Learning to
combine multi-resolution spatially-weighted co-occurrence matrices for image representation.
In Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, ICME
2010, 19-23 July 2010, Singapore, pages 631–636, 2010.
[21] Yan Wang, Tao Mei, Jingdong Wang, and Xian-Sheng Hua. Dynamic video collage. In
Advances in Multimedia Modeling, 16th International Multimedia Modeling Conference, MMM
2010, Chongqing, China, January 6-8, 2010. Proceedings, pages 793–795, 2010.
[22] Hao Xu, Jingdong Wang, Xian-Sheng Hua, and Shipeng Li. Interactive image search by
2d semantic map. In Proceedings of the 19th International Conference on World Wide Web,
WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010, pages 1321–1324, 2010.
[23] Hao Xu, Jingdong Wang, Xian-Sheng Hua, and Shipeng Li. Summarizing tagged image
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
City, NY, USA, pages 922–925, 2009.
[24] Hao Xu, Jingdong Wang, Xian-Sheng Hua, and Shipeng Li. Tag refinement by regularized
LDA. In Proceedings of the 17th International Conference on Multimedia 2009, Vancouver,
British Columbia, Canada, October 19-24, 2009, pages 573–576, 2009.
[25] Yang Hu, Jingdong Wang, Nenghai Yu, and Xian-Sheng Hua. Maximum margin clustering
with pairwise constraints. In Proceedings of the 8th IEEE International Conference on Data
Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pages 253–262, 2008.
[26] Yangqing Jia, Jingdong Wang, Changshui Zhang, and Xian-Sheng Hua. Augmented tree
partitioning for interactive image segmentation. In Proceedings of the International Conference
on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, pages
2292–2295, 2008.
[27] Jingdong Wang, Xinmei Tian, Linjun Yang, Zheng-Jun Zha, and Xian-Sheng Hua. Opti-
mized video scene segmentation. In Proceedings of the 2008 IEEE International Conference
on Multimedia and Expo, ICME 2008, June 23-26 2008, Hannover, Germany, pages 301–304,
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[28] Zheng-Jun Zha, Tao Mei, Jingdong Wang, Zengfu Wang, and Xian-Sheng Hua. Graph-based
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[29] Xinmei Tian, Linjun Yang, Jingdong Wang, Xiuqing Wu, and Xian-Sheng Hua. Transduc-
tive video annotation via local learnable kernel classifier. In Proceedings of the 2008 IEEE
International Conference on Multimedia and Expo, ICME 2008, June 23-26 2008, Hannover,
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learning for video concept detection. In Proceedings of the 1st ACM SIGMM International
Conference on Multimedia Information Retrieval, MIR 2008, Vancouver, British Columbia,
Canada, October 30-31, 2008, pages 298–304, 2008.
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exemplars using fast sparse affinity propagation. In Proceedings of the 16th International
Conference on Multimedia 2008, Vancouver, British Columbia, Canada, October 26-31, 2008,
pages 639–642, 2008.
[32] Dan Zhang, Jingdong Wang, Fei Wang, and Changshui Zhang. Semi-supervised classification
with universum. In Proceedings of the SIAM International Conference on Data Mining, SDM
2008, April 24-26, 2008, Atlanta, Georgia, USA, pages 323–333, 2008.
[33] Tao Mei, Zheng-Jun Zha, Yuan Liu, Meng Wang, Guo-Jun Qi, Xinmei Tian, Jingdong Wang,
Linjun Yang, and Xian-Sheng Hua. MSRA att TRECVID 2008: High-level feature extraction
and automatic search. In TRECVID 2008 workshop participants notebook papers, Gaithers-
burg, MD, USA, November 2008, 2008.
[34] Xing Yi, Changshui Zhang, and Jingdong Wang. Multi-view EM algorithm and its application
to color image segmentation. In Proceedings of the 2004 IEEE International Conference on
Multimedia and Expo, ICME 2004, 27-30 June 2004, Taipei, Taiwan, pages 351–354, 2004.
[35] Jingdong Wang, Jianguo Lee, and Changshui Zhang. Kernel trick embedded gaussian mixture
model. In Algorithmic Learning Theory, 14th International Conference, ALT 2003, Sapporo,
Japan, October 17-19, 2003, Proceedings, pages 159–174, 2003.
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the feature space. In Machine Learning: ECML 2003, 14th European Conference on Machine
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image binarization. In Proceedings of the 2003 IEEE International Conference on Multimedia
and Expo, ICME 2003, 6-9 July 2003, Baltimore, MD, USA, pages 533–536, 2003.
Tutorial and Seminars
High-resolution networks Keynote BigMM 2020
High-resolution networks Keynote CVWC at ICCV 2019
Neural architecture construction and search tutorial ICME 2019
High-resolution networks Keynote CEFRL at CVPR 2019
Interleaved group convolutions for efficient deep neural networks Keynote ACM ICIMCS 2018
Person re-identification: datasets and representations Keynote PCM 2018
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 summariza-
tion 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
xv
Contextual dominant color name extraction US patent 8873845 1 2014/10/24
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 scal-
able visual indexing
US patent 8370363 1 2013/2/5
Reranking using confident image samples US patent 9384241 1 2016/7/5
Salient object segmentation US patent 9042648 1 2015/5/26
Document-related representative informa-
tion
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 2013/3/5
Image searching by approximate K-NN
graph
US patent 8705870 1 2014/4/22
Product Transfer
HRNet Shipped to Form Recognizer,
2021
SPTAG (spatial partition tree and graph, improved
NGS)
Shipped to Bing platform, 2018
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.
Visual attribute enhanced image relevance ranker 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
Zhuoyi Huang Tongji University (20)
Xiaokang Chen Peking University (20)
Changqian Yu HUST (20)
Shaobo Min USTC (20)
Baifeng Shi Peking University
Chaoqun Wang USTC (19)
Hung-Jen Chen National Chiao Tung University (19)
Jingyi Xie USTC (19)
Zigang Geng USTC (19)
xvi
Boqi Chen Boston University (19)
Tianheng Cheng Huazhong University of Science & Technology
(18)
Chaorui Deng South China University of Technology
Manli Shu USTC (18)
Borui Jiang Peking University (18)
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)
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)
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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)
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, Berke-
ley
Dan Zhang Tsinghua University (07, 10) Purdue University
Mingjie Qian Tsinghua University (09) UIUC
Beijing, June 10, 2021
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