Zheng Wen - Resume

  • My PDF CV and references are available upon request.


  • Master of Science (M.S.) in Electrical Engineering, Washington State University. My M.S. advisors were Prof. Ali Saberi and Prof. Sandip Roy.

    • GPA 4.0/4.0

    • Thesis: On the External Stability of Linear Systems with Actuator Saturation Constraints, and the Decentralized Control of Communicating-Agent Networks with Security Constraints

    • Research focuses on nonlinear control and decentralized control

Industry Experiences

  • Senior Research Scientist, Adobe Research, San Jose, CA. From Feb. 2016

  • Research Scientist, Yahoo Labs, Sunnyvale, CA. 2014-2016

Teaching Experiences

  • Instructor, MS&E 351, Dynamic Programming and Stochastic Control, Fall Quarter 2013, Stanford University.

    • Overall Teaching Evaluation: 4.41/5 (area mean is 4.22)


  • Outstanding Student Scholarship, Harbin Institute of Technology, 2002.


  • Member of IEEE and INFORMS

Professional Activities:

  • Reviewer for journals and conferences in the fields of operations research, machine learning, control theory and smart grid, including:

    • Operations Research

    • Journal of Machine Learning Research

    • IEEE Transactions on Automatic Control

    • IEEE Transactions on Smart Grid

    • IEEE Transactions on Power Systems

    • IEEE Transactions on Cloud Computing

    • IEEE Transactions on Parallel and Distributed Systems

    • IEEE Transactions on Neural Networks and Learning Systems

    • IEEE/ACM Transactions on Networking

    • Neural Information Processing Systems (NIPS)

    • International Conference on Machine Learning (ICML)

    • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD)

    • IEEE Conference on Decision and Control (CDC)

    • American Control Conference (ACC)

  • Program Committee Member (PC) for
    • International Joint Conference on Artificial Intelligence (IJCAI), 2016

    • AAAI Conference on Artificial Intelligence (AAAI), 2017

    • International Conference on Artificial Intelligence and Statistics (AISTATS), 2017


  • Languages: Chinese (native), English (fluent)

  • Programming: C/C++, Java, Python, Hadoop/Pig, MATLAB, Linux shell, PHP