Yang Liu
Postdoctoral fellow
SEAS, CRCS, Harvard University
YangL(at)seas.harvard.edu
Office: MD-110


About me

    Hello. I'm currently a postdoctoral fellow at Harvard University. I am very fortunate to be hosted by Professor Yiling Chen, and collaborating with Professor David Parkes.

    I'm super happy to announce that I'm joining the Computer Science department at UC Santa Cruz as an Assistant Professor in January 2019.

    My research is broadly focused on the interactions between society and artificial intelligence (AI), and in particular algorithmic decision-making. Examples of topics that I am actively researching on:

    • Quanitying the Value-of-Information when there is a lack of ground truth verification
    • Learning with (noisy) data collected from human participants
    • Learning aided incentive design for collecting high quality data from human
    • Re-thinking wisdom of crowd, when majority of people are wrong
    • ML with strategic and adversarial inputs
    • Algorithmic fairness in ML

Openings

    I'm looking for Ph.D. students and Postdocs to join me at UCSC this incoming January. If you happen to be interested in any of the topics above, and are interested in coming to Santa Cruz to work with me, feel free to drop me a message.

Upcoming workshop GaMeDATA18

  • [2018.06] GaMeDATA is scheduled to be on July 14. Please consider attending! We have Dave Pennock from MSR NYC and Drazen Prelec from MIT as confirmed invited speakers. Our program will also include a panel discussion. Full schedule coming soon!
  • [2018.02] We (together with Yiling Chen, Boi Faltings, David Parkes and Goran Radanovic) are organizing the first workshop on "Game-Theoretic Mechanisms for Data and Information" (GaMeDATA18) at the Federated AI Meeting of AAMAS, ICML, and IJCAI (FAIM) at Stockholm this incoming summer.

News

  • [2018.05] I'm happy to say that our paper “From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild” is finally accepted to USENIX Security'18, after a long journey! We proved (empirically) that the cyber security world is well connected (the idea was first documented in my dissertation back to 2015, but Chaowei took it to another level) and this knowledge is useful! Stay tuned.
  • [2018.01] Our work (with Ji Liu and Tamer Başar) "Gossip Gradient Descent" is accepted to AAMAS'18 (extended abstract). We propose a O(1)-communication gossip algorithm that solves a distributed gradient descnet problem with strong theoretical guarantee.

Selected / Recent Publications

<Click for the Full List>

Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation.
Yang Liu and Yiling Chen, arXiv, 2018.

Machine Learning aided Peer Prediction.[Video] [Slides]
Yang Liu and Yiling Chen, ACM EC 2017, Cambridge, United States.

A Bandit Framework for Strategic Regression.[Video] [Poster]
Yang Liu and Yiling Chen, NIPS 2016, Barcelona, Spain.

An Online Learning Approach to Improving the Quality of Crowd-Sourcing.[Slides]
Yang Liu and Mingyan Liu, ACM SIGMETRICS 2015, Portland, United States.

Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents. [Slides]
Yang Liu, Armin Sarabi, Jing Zhang, Parinaz Ardabili, Manish Karir, Michael Bailey and Mingyan Liu
USENIX Security 2015, Washington, D.C., United States.