Invited talks:

    2017.10, Machine Learning aided Incentive Design: Surrogate Scoring Rules and a Dominant Truth Serum, Upenn.

    2017.07, Machine Learning aided Peer Prediction, BayesianCrowd.

    2017.05, Machine Learning aided Incentive Design, Dartmouth College

    2017.02, Learning and Harnessing the Power of Human Computation, USC ISI.

    2017.02, A Bandit Framework for Strategic Regression, UIUC CSL seminar, hosted by Professor Tamer Basar.

    2016.10, Learning and Harnessing the Power of Human Computation, SIGAI CNC.

    2016.09, Bandit in Crowdsourcing, CMO Workshop: Models and Algorithms for Crowds and Networks.

    2016.05, A Bandit Framework for Strategic Regression, Harvard EconCS seminar.

    2015.02, Improving Prediction By Exploiting Source Similarity with Its Application to Cyber Security, Oral at ITA 2015 Graduation Day Talk, San Deigo, US.

    2014.11, Anatomy of Network-Level Malicious Activities, Poster presentation at Towner Price Session, EGS 2014, Ann Arbor, US.

    2014.03, Anatomy of Network-Level Malicious Activities, Oral presentation at the Eighth Annual MSSISS symposium, Ann Arbor, US.

    2013.08, Diversity Gains in Multiuser Wireless Network, Oral presentation, Qualcomm research, San Diego, US.