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About me

I am currently a professor of Institute of Automation, Chinese Academy of Sciences. I received the B.S. and M.S. degrees in Mathematics from Wuhan University in 1998 and 2001, respectively. After that, I got Ph.D degree in pattern recognition and intelligent systems from Institute of Automation in 2004, Chinese Academy of Sciences. From 2004 to 2006, I have been working as postdoctoral in Nokia Research Center. Then I joined National Lab of Pattern Recognition, Institute of Automation. I have authored or co-authored more than 100 academic papers.

Research

My research interest mainly lies in machine learning, pattern recognition, computing architecture and chips, data mining.

l  Machine learning and computing methods
      Deep Learning, Acceleration and Compression

Architecture for deep learning

Hashing, Approximate Nearest Neighbor Search

Semi-supervised learning

Indexing, Ranking

l  Emerging Applications
      Image/video Search & Recommendation
      Image classification and recognition
      Embedded AI Chip and Systems

Awards & Honors

l   2010: LU JIAXI Young Talent award, Chinese Academy of Sciences

l   2013: First place, ChaLearn Gesture Recognition Challenge

l   2013: The first class prize of Natural Sciences, Chinese Institute of Electronics

l   2013: Best paper candidate, IEEE International Conference on Multimedia and Expo (ICME), July 15-19, USA

l   2015: Ranked first place on Visual Recognition task and third place on Image Retrieval task on MSR-Bing Image Retrieval Challenge @ ACM MM 2015

l   2016: Successfully defended first place on MSR-Bing Image Recognition Challenge (IRC) @ ICME 2016

l   2016: Ranked the second places on track 2 (Accessories Classification) and track 3 (Smile and Gender Classification) of ChaLearn 2016.

l   2016 KDD CUP honorable mention (joint with Prof. Zhenfeng Zhu at Beijing Jiaotong University), ranked first place on phase 2 (341 teams).

l   2016 prize paper award honorable mention to our TMM 2013 paper (Peng Li, et al.)

l   2018: The second class prize of Science & Technology, China Society of Image and Graphics

l   2019: First place, MicroNet Challenge on ImageNet task and CIFAR task @ NeurIPS 2019.

l   2019: The runner-up of Light weight Face Recognition Challenge @ ICCV 2019.

Perspective Students & Interns

欢迎推免/报考硕士、博士，同时招收少量博士后、实习生和工程师：

招生方向：图像与视频分析、集成电路设计与智能分析（参考自动化所2018年招生方向）。

招生要求：专业背景不限。但希望你对科研怀有强烈的兴趣和追求卓越的精神，具备良好的数学基础、编程能力、以及自主学习能力。 

研究问题：1、面向海量图像与视频内容分析和理解，探索深度学习、机器学习、模式识别等前沿理论，解决图像分类、检测、识别、和检索等挑战性问题；

2、针对深度学习等人工智能方法中存在的密集计算问题，研究和设计高效的计算方法和芯片架构，实现边缘端的深度学习高效计算。

由于招生数量有限，希望提前跟我联系。

招生主页：http://people.ucas.ac.cn/~chengjian

另外，本人在自动化所-安徽大学联合的认知计算研究中心有少量硕士名额，有意者可与我联系（招生简介）。

Last updated date: Oct. 1, 2018, by Jian Cheng.