PRESENT Ph.D. candidate, Department of Computer Science, Cornell University
(I am currently in the job market!)
RESEARCH
INTERESTS
Machine Learning
Natural Language Processing
Computational Social Science
Business Analytics
CURRENT
TOPICS
Bayesian Latent Variable Modeling
  • Spectral inference x Probabilistic inference
  • Matrix and Tensor Factorization
  • Community Detection in Signed Networks
Interpretable Text Mining and Natural Language Understanding
  • Topic Modeling
  • Representation Learning and Logical Reasoning
  • Socio-semantics or Psycho-linguistics
Social Bias Modeling and Behavioral/Operations Research
  • Product Reviews and Question Answers Analysis
  • Modeling the world + Modeling the bias
  • Counterfactual Operation
TALKS &
TRAVEL
[03/21/2018] Invited seminar in Microsoft Research (Redmond, US)
[03/14/2018] Invited seminar in UNIST (Ulsan, South Korea)
[02/23/2018] Remote seminar for UNIST (Ulsan, South Korea)
[02/15/2018] Invited seminar in University of Oregon (Eugene, US)
[02/05/2018] Invited seminar in University of Illinois (Chicago, US)
[01/25/2018] Invited seminar in University of Southern Denmark (Odense, Denmark)
[01/10/2018] Remote seminar for Deakin University (Melbourne, Australia)
.....................
[09/19/2017] Invited seminar at Chungnam National University (South Korea)
[01/17/2017] Invited student talk in Amazon Research Symposium
NEWS &
UPDATES
[02/11/2018] Two new papers are submitted!
  • To International Conference of Machine Learning (ICML) 2018
  • To Knowledge Discovery and Data Mining (KDD) 2018
[11/17/2017] Our new draft is uploaded in arXiv!
  • <Prior-aware Dual Decomposition (PADD): Document-specific Topic Inference for Spectral Topic Models>
  • Co-authored with David Bindel and David Mimno
[10/23/2017] Received the Best Paper Award in INFORMS2017.
  • Our paper <From Correlation to Hierarchy: Practical Spectral Topic Modeling> won the best student paper award!
  • On 12th Workshop on Data Mining and Decision Analytics (DMDA).
[08/28/2017] Our two pre-journal papers are accepted in INFORMS2017.
  • <From Correlation to Hierarchy: Practical Spectral Topic Modeling> with David Bindel and David Mimno
  • <The Chinese Voting Process: The Evolution of Online Helpfulness Evaluation> with Seok Hyun Jin and David Mimno
[01/17/2017] Invited talk in Amazon Research Symposium.
  • <The Chinese Voting Process: The Evolution of Helpfulness in Product Reviews and Question Answers>
  • Selected as one out of only two student talks!
[08/12/2016] Our full paper is accepted for the oral presentation in NIPS2016.
  • <Beyond Exchangeability: The Chinese Voting Process> with Seok Hyun Jin and David Mimno
  • Oral acceptance rate: 1.84%, receive travel award!
[03/15/2016] Our full paper is accepted in ICLR2016.
  • <Reasoning in Vector Space: An Exploratory Study of Question Answering> with Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, and Paul Smolensky
  • Receive both travel award and student award!
[11/24/2015] Invited talk in Microsoft Research
  • <Robust Spectral Inference for Joint Stochastic Matrix Factorization and Topic Modeling>
  • Lecture my recent work in Microsoft Research Talks!