Yadong Mu

National Junior 1000-Talent Plan
Head of Machine Intelligence Lab
Institute of Computer Science and 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 leading the Machine Intelligence Lab at Institute of Computer Science and Technology, Peking Univeristy. Before joining Peking University, I have ever worked as research fellow at National University of Singapore (PI: Prof. Shuicheng Yan), research scientist at the DVMM lab of Columbia University (PI: Prof. Shih-Fu Chang), researcher at the data mining team of Huawei Noah's Ark Lab in Hong Kong (head: Dr. Wei FAN), and senior scientist at Multimedia Department of AT&T Labs, New Jersey, U.S.A. (head: Dr. Behzad Shahraray). I obtained both the B.S. and Ph.D. degrees from Peking University.

I have interest in broad research topics in computer vision, data mining and machine learning, particularly large-scale image and video computing (search, indexing,  event detection etc), telecom data mining, autonomous driving techniques, and distributed / approximate large-scale machine learning.

Research Highlight

Event Detection

Visual Search for
Gigantic Images



Data Mining

Large Scale
Machine Learning


  • One paper collaborated with UESTC and Tecent 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. See http://sist.shanghaitech.edu.cn/racv2016/competition_tag.html for details.
  • I am the recipient of National Junior 1000-Talent Plan and have joined the Institute of Computer Science and Technology, Peking University as a tenure track faculty and principal investigator. (05/2016)

Recent Publications [all]

  • Yadong Mu, Zhu Liu, Deep Hashing: A Joint Approach for Image Signature Learning, Thirty-First AAAI Conference (AAAI), 2017 [PDF]
  • Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao, Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval, International Joint Conference on Artificial Intelligence (IJCAI) 2016 [PDF]
  • Yadong Mu, Fixed-Rank Supervised Metric Learning on Riemannian Manifold, Thirtieth AAAI Conference (AAAI), 2016 [PDF] (code by request)
  • Yadong Mu, Wei Liu, Xiaobai Liu, Wei Fan, Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization , to appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016 [PDF]


Thanks the generous support of all the sponsors.