Yadong Mu

Wangxuan Institute of Computer Technology
No. 128, Zhong-Guan-Cun North Street
Peking University, Beijing 100080, China
E-mail: myd AT pku.edu.cn OR muyadong AT gmail DOT com


I am a tenure-track assistant professor and independent PI leading the Machine Intelligence Lab at Wangxuan Institute of Computer Technology, Peking Univeristy. Before joining Peking University since June 2016, I have ever worked at National University of Singapore, the DVMM lab of Columbia University, Huawei Noah's Ark Lab in Hong Kong, and Multimedia Department of AT&T Labs, New Jersey, U.S.A. I obtained both the B.S. and Ph.D. degrees from Peking University.

My research interest is in computer vision and machine learning. Below are some of my recent research topics:
  • Spatio-Temporal Video Classification and Localization
  • Vision + NLP
  • Crowd Analysis (counting, re-id) in Camera Networks
  • Visual Reasoning
  • Novel Neural Network Architecture
We are always actively recruiting postdocs, interns and prospective graduate students! Before sending your resume to myd@pku.edu.cn, please read this note.


  • 5 papers are accepted by CVPR 2020. (2/2020).
  • Prof. Yadong Mu will serve as an Associate Editor of Neurocomputing (2/2020).
  • Prof. Yadong Mu will serve as an Area Chair of ACM Multimedia 2020 and CVPR 2021. (1/2020).
  • We won the second place in the "Temporal Localization" task in ActivityNet Challenge 2019. (7/2019).
  • In the spring semester of 2018, I will teach a new course "Computer Vision and Deep Learning" for undergraduate students in EECS, Peking University. (11/2017)
  • One paper collaborated with UESTC and Tencent AI Lab won the Best Paper Honourable Mentions at SIGIR 2017. [Link] (08/2017)
  • Call for Paper -- ACM Multimedia Workshop on Visual Analysis for Smart and Connected Communities. [Link] (06/2017)
  • I will teach a course advanced topics in computer vision" (course ID: 04802034), and co-teach the other course "deep learning" (course ID: 08408005) in the spring semester. The former will majorly discuss recent advances in computer vision and the latter will cover both deep learning theory and applications. (02/2017)
  • We won the first place out of 100+ teams in the "traffic sign detection in autonomous driving" competition (preliminary round) organized by China Computer Federation (CCF) and UISEE (a self-driving car startup). (11/2016)
  • Our team participated 2016 TRECVID MED (multimedia event detection) competition organized by National Institute of Standards and Technology (NIST). Our multi-modal MED system achieved top performance in three sub-tasks in the PS-100Ex setting. (10/2016)
  • Our team won the second place in RACV 2016 Iqiyi Video Annotation Challenge.
  • Prof. Yadong Mu will join the Institute of Computer Science and Technology, Peking University as a tenure track faculty and principal investigator. (05/2016)

Recent Publications [all]

  • Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu, Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection, AAAI 2020.
  • Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie, Qi Tian, Fast Non-Local Neural Networks with Spectral Residual Learning, ACM Multimedia 2019.
  • Chenchen Liu, Xinyu Weng, Yadong Mu, Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization, CVPR 2019.


Thanks the generous support of all the sponsors.