• University of Oregon: Computer Vision (Spring 2020)
    • Columbia University E6894: Deep Learning for Computer Vision, Speech, and Language, guest lecturer (Fall 2018)
    • UIUC NPRE 451: Radiation Detection & Instrumentation Laboratory (Fall 2012, Spring 2013, Fall 2013)
    • Tsinghua University, part-time lecturer at Work-Study Center (2005-2009)

Academic Services

Grant Review Panel

    • National Institute of Food and Agriculture, United States Department of Agriculture (USDA-NIFA), 2018

Program Organizing Committee

    • IEEE International Conference of Humanized Computing and Communication with Artificial Intelligence (HCCAI), Irvine, California, 2020
    • Workshop on Real-World Recognition from Low-Quality Inputs, ECCV, 2020
    • The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture, CVPR 2020 (with Microsoft, Google, IBM, Intelinair, MIT, UIUC, Purdue etc.)
    • Workshop on Real-World Recognition from Low-Quality Images and Videos, ICCV, 2019
    • Workshop on Weakly Supervised Learning for Real-World Computer Vision Applications, CVPR, 2019
    • The 1st Learning from Imperfect Data (LID) Challenge, CVPR, 2019
    • Huang Symposium, UIUC, 2016

Review Editor

    • Frontiers in Big Data, ICT and Digital Humanities

Journal Reviewer

    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • IEEE Transactions on Multimedia (TMM)
    • Springer Multidimensional Systems and Signal Processing (MULT)

Senior Program Committee & Area Chair

    • International Joint Conference on Artificial Intelligence (IJCAI)
    • ACM International Conference on Multimedia (ACM MM)

Conference Technical Program Committee

    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • IEEE International Conference on Computer Vision (ICCV)
    • European Conference on Computer Vision (ECCV)
    • Neural Information Processing Systems (NeurIPS)
    • International Conference on Machine Learning (ICML)
    • International Conference on Learning Representations (ICLR)
    • The AAAI Conference on Artificial Intelligence (AAAI)
    • IEEE International Conference on Image Processing (ICIP)
    • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
    • International Conference on Information Fusion (FUSION)

Heilmeier Criteria

I learned this criteria from Prof. John Wen, and it was proposed by former DARPA director G. Heilmeier.

I suggest all my students follow this as well.

    1. What are you trying to do? Articulate your objectives using absolutely no jargon.
    2. How is it done today, and what are the limits of current practice?
    3. What is new in your approach and why do you think it will be successful?
    4. Who cares and why?
    5. If you’re successful, what difference will it make? What applications are enabled as a result?
    6. What are the risks?
    7. How much will it cost? How long will it take?
    8. What are the midterm and final check points to evaluate progress towards success?


  • Everything should be made as simple as possible, but not simpler. -- Albert Einstein
  • The thing that differentiates scientists is a purely artistic ability to discern what is a good idea, what is a beautiful idea, what is worth spending time on and most importantly what is a problem that is sufficiently interesting yet sufficiently difficult that it hasn't yet been solved and yet the time for solving it has come. -- Savas Dimopoulos
  • And if you gaze long into an abyss, the abyss also gazes into you. -- Friedrich Nietzsche
  • Let this be my last word, that I trust thy love. -- Rabindranath Tagore
  • 君子之于天下也,无适也,无莫也,义之与比。 -- 《论语》
  • There is no better land than a barren land, to show your fertility. -- HS
  • Veni, vidi, vici. -- Julius Caesar
  • 人心惟危,道心惟微,惟精惟一,允执厥中。 -- 《尚书 • 大禹谟》
  • 大学之道,在明明德,在亲民,在止于至善。知止而后有定,定而后能静,静而后能安,安而后能虑,虑而后能得。物有本末,事有终始。知所先后,则近道矣。-- 《大学》
  • 孰能浊以静之徐清,孰能安以动之徐生. --《 道德经》
  • 天行健,君子以自强不息。地势坤,君子以厚德载物。 -- 《易经》 & 清华校训(梁启超 @ 1914)