About Me

I am currently a Ph.D candidate at Department of Electrical and Computer Engineering, The Ohio State University. I am under the supervision of Professor Ness Shroff. Check out my CV and Google Scholar if you are interested.
A brief review of my research in machine learning can be found here. [slides]

Publications

  • Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks
    Swapna Buccapatnam, Fang Liu, Atilla Eryilmaz, Ness Shroff
    Journal of Machine Learning Research, accepted for publication.
    [pdf]

  • [invited] An Information-Theoretic Analysis of Posterior Sampling for Stochastic Graphical Bandits
    Fang Liu, Ness Shroff
    The Fifty-Seventh Annual Allerton Conference on Communication, Control, and Computing (Allerton 2019)

  • Verification: Constructive and Destructive Full Duplex Relays
    Lu Chen, Fang Liu, Kannan Srinivasan
    The Twenty-Fifth Annual International Conference on Mobile Computing and Networking (MobiCom 2019)

  • Data Poisoning Attacks on Stochastic Bandits
    Fang Liu, Ness Shroff
    The Thirty-Sixth International Conference on Machine Learning (ICML 2019)
    [pdf] [code] [Talk] [Poster]

  • Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
    Fang Liu, Zizhan Zheng, Ness Shroff
    The Thirty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI 2018)
    [pdf] [poster]

  • UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
    Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness Shroff
    The Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018)
    [pdf][slides]

    The Third Information Modeling, Analysis, and Control of Complex Systems Workshop (IMACCS 2018)
    [poster]

  • Information Directed Sampling for Stochastic Bandits with Graph Feedback
    Fang Liu, Swapna Buccapatnam, Ness Shroff
    The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)
    [pdf][spotlight][poster]

  • A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem
    Fang Liu, Joohyun Lee, Ness Shroff
    The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)
    [pdf][spotlight][poster]

  • iMUTE: Energy-optimal Update Policy for Perishable Mobile Contents
    Joohyun Lee, Fang Liu, Kyunghan Lee, Ness Shroff
    The 25th IEEE International Conference on Network Protocols (ICNP 2017)
    [pdf]

  • Non-additive Security Game
    Sinong Wang, Fang Liu, Ness Shroff
    The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017)
    [pdf]

  • Data dissemination with network coding in two-way vehicle-to-vehicle networks
    Fang Liu, Zhiyong Chen, Bin Xia
    IEEE Transactions on Vehicular Technology (TVT 2016)
    [pdf] [bibtex]

Education

  • Ph.D in Electrical and Computer Engineering
    Department of Electrical and Computer Engineering, The Ohio State University
    Aug. 2014 - Present

  • B.S. in Information Engineering
    School of Eletronic Information and Electrical Engineering, Shanghai Jiao Tong University
    Sept. 2010 - Jun. 2014

Experience

  • Graduate Student Research Assistant, The Ohio State University
    Advised by Prof. Ness Shroff
    Aug. 2014 - Present

  • Software Engineer Intern, Facebook NYC
    Advised by Dr. Tiantian Xu, Yifei Sun, Peng Wu, Steve Wu
    May 2019 - Aug. 2019

  • Student Intern Technical II, AT&T Labs Research
    Advised by Russell Fischer, Jim Strydio, Prafulla Verma
    May 2018 - July 2018

  • Reviewer
    IEEE TVT, Elsevier COMNET, IEEE/ACM ToN, INFOCOM'18, NIPS'18(Highest-scoring reviewer), ICML'19, CDC'19, NeurIPS'19, AAAI'20(so-called PC member), ICML'20

Honors

  • UAI-18 Scholarship, 2018
  • AAAI-18 Scholarship, 2018
  • Litton Fellowship, 2014
  • First Prize of SCSK Corporation Scholarship, 2013
  • Academic Excellence Scholarship of SJTU, 2012 & 2013
  • Dongshi Dongfang Scholarship, 2012
  • National Scholarship, 2011

Contact