Invited talks

  1. Adaptive Data Acquisition for Personalized Recommender Systems with Optimality Guarantees on Short-Form Video Platforms at INFORMS Platform and Machine Learning, Oct 2021.
  2. Learning quadratic games on networks at University of Washington Data Science Seminar, May 2021.
  3. Learning quadratic games on networks at INFORMS Digital Technology session, Nov 2020.
  4. Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements at the IDeaS Center at Carnegie Mellon University, June 2020.
  5. Collective behaviors on networks at C2Smart Center at New York University, May 2020. Link.
  6. Learning strategic interaction from individual action: A game-theoretic approach at the Northwestern Institute on Complex Systems at Northwestern University, Oct 2019.
  7. Networked-based learning for understanding collective human behavior* at Summer Institute in Computational Social Science at Oxford, July 2019.
  8. Learning strategic interaction from individual action: A game-theoretic approach at the Machine Learning in Finance Workshop by Columbia University, May 2019.
  9. Observational causal inference with network information at the Graph Exploitation Symposium by MIT Lincoln Lab, April 2019.
  10. Learning strategic interaction from individual action: A game-theoretic approach * at Alan Turing Institute, Jan 2019.
  11. Social Bayesian Decision Making* at the 52nd Conference on Information Sciences and Systems (CISS), March 2018.
  12. Living labs: big data for social good at Hong Kong Polytechnic University.
  13. The ripple effect: you are more influential than you think at Beijing Normal University, June 2017.
  14. Interviewed by China Central Television (CCTV) for the documentary ``A Century With Cars II'' on Future urban mobility, August 2016.
  15. Mobility and tourism analysis with call detail records at the Andorra Telecom Big Data Online Seminar, 2017.
  16. * joint work presented by co-authors.

Presentations in chronological order

  1. Present Observational causal inference using network information with unobserved confounding at the Graph Representation Learning workshop of NeurIPS, December 2019.
  2. Present Calibration of herogeneous treatment effect at 2019 Conference on Digital Experimentation (CODE), November 2019.
  3. Presented Learning strategic interaction from individual action: A game-theoretic approach at the International Conference in Computational Social Science (IC2S2). July 2019.
  4. Presented Measuring social influence within and across multi-dimensional homophilous communities at the International Conference in Computational Social Science (IC2S2). July 2019.
  5. Poster on Observational causal inference using network information and Estimating social influence with homophilous latent positions at the Atlantic Causal Inference Conference. May 2019.
  6. Presented Geometric information fusion for mobile app usage prediction at Conference on Information Systems and Technology (CIST 2018), Pheonix. November 2018
  7. Presented A Bayesian learning model for decision-making in social networks at International School and Conference on Network Science (NetSci, 2018). June 2018.
  8. Presented A large-scale experiment and model of social influence in phone communication networks at the Fourth Annual Conference on Network Science and Economics. April 2018
  9. Presented A Bayesian learning model for decision-making in social networks at Women in Data Science (WIDS) - Cambridge. March 2018.
  10. Presented Inferring mobile app preference via multi-view geometric information fusion at 3rd Graph Signal Processing Worshop (GSP' 2018). June 2018.
  11. Invited talk on The ripple effect: you are more influential than you think at Beijing Normal University. June 2017.
  12. Presented The ripple effect: you are more influential than you think at International School and Conference on Network Science (NetSci, 2017). June 2017.
  13. Presented Synergistic data-driven travel demand management based on phone records. at The 6th International Workshop on Urban Computing (in conjunction with KDD' 17). August 2017.
  14. Presented Managing travel demand: Location recommendation for system efficiency based on mobile phone data at mobility section of Data For Good Exchange Conference, New York. September 2016.
  15. Presented Analysis of tourism dynamics and special events through mobile phone metadata at the lightning section of Data For Good Exchange Conference, New York. September 2016.
  16. Presented Mobility and tourism analysis with call detail records at Andorra Telecom Big Data Online Seminar. February 2016.
  17. Evaluation on transfer efficiency at integrated transport terminals through multilevel grey evaluation at The Eighth International Conference on Traffic & Transportation Studies. August 2012.