Portrait of Jingdong Wang

Jingdong Wang

Lead Researcher

About

I am a Lead Researcher at the Visual Computing Group, Microsoft Research Asia. I received the B.Eng. and M.Eng. degrees in Automation from the Department of Automation, Tsinghua University, Beijing, China, in 2001 and 2004, respectively, and the PhD degree in Computer Science from the Department of Computer Science and Engineering, the Hong Kong University of Science and Technology, Hong Kong, in 2007. My areas of interest include deep learning, large-scale indexing, human understanding, and person re-identification. I will serve/have served as an Associate Editor of IEEE TMM, and an area chair of AAAI 2018, ICCV 2017, CVPR 2017, ECCV 2016 and ACM Multimedia 2015. (CV  Google Scholar  DBLP)

My personal homepage is here.

Highlights

[7] Ting Zhang, Guo-Jun Qi, Bin Xiao, and Jingdong Wang. Interleaved Group Convolutions. ICCV 2017. [pdf]

[6] Liming Zhao, Xi Li, Yueting Zhuang, and Jingdong Wang. Deeply-Learned Part-Aligned Representations for Person Re-Identification. ICCV 2017. [pdf]

[5] Ke Sun, Cuiling Lan, Junliang Xing, Jingdong Wang, Wenjun Zeng, Dong Liu. Human Pose Estimation using Global and Local Normalization. ICCV 2017.

[4] Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian. Ensemble Diffusion for Retrieval. ICCV 2017.

[3] A Survey on Learning to Hash. Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen. TPAMI. 2017 [pdf v2] [pdf v1]

[2] On the Connection of Deep Fusion to Ensembling. Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, and Wenjun Zeng. Arxiv. [pdf] Code

[1] Deeply-Fused Nets. Jingdong Wang, Zhen Wei, Ting Zhang, and Wenjun Zeng. Arxiv. [pdf]

Publications

2016

2015

2014

2013

2012

2011