PRESENT Assistant Professor, Department of Information and Decision Sciences
UIC Business School at University of Illinois Chicago
RESEARCH
INTERESTS
Machine Learning
Natural Language Processing
Computational Social Science
Business Analytics
CURRENT
TOPICS
Machine Learning
  • Spectral Inference for Bayesian Mixed-Membership Models
  • Matrix/Tensor Factorization
  • Graph Neural Network and Geometric Deep Learning
Natural Language Processing
  • Representation Learning and Logical Reasoning
  • Question Answering
  • Topic Modeling
Computational Social Science
  • Product Reviews Analysis
  • Behavioral/Social Bias in Helpfulness Voting Process
  • Counterfactual Evaluation and Causal Inference
TALKS &
TRAVEL
[10/23/2019] Invited talk in INFORMS 2019 (Seattle, US)
[06/03/2019] Invited seminar in Korea Advacned Institute of Science and Technology (Daegeon, South Korea)
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[05/01/2018] Invited seminar in Pohang University of Science and Technology (Pohang, South Korea)
[03/21/2018] Invited seminar in Microsoft Research (Redmond, US)
[03/14/2018] Invited seminar in Ulsan National Institute of Science and Technology (Ulsan, South Korea)
[02/15/2018] Invited seminar in University of Oregon (Eugene, US)
[01/25/2018] Invited seminar in University of Southern Denmark (Odense, Denmark)
NEWS &
UPDATES
[10/08/2019] Submit one paper to AISTATS 2020!
  • Under review...
[08/24/2019] Our full paper is accepted in EMNLP-IJCNLP 2019!.
  • <Practical Correlated Topic Modeling and Analysis via Rectified Anchor Word Algorithm>
  • The paper will be presented in Hong Kong on Nov 3-7.
[01/07/2019] Start visiting Microsoft Research at Redmond (MSR)!
  • Visiting Professor at Deep Learning Group
  • Research representation learning and graph convolution
[08/16/2018] Start working in University of Illinois at Chicago (UIC)!
  • Department of Information and Decision Sciences
  • Teach two graduate courses on 2018 Fall
[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 INFORMS 2017.
  • 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 NeurIPS 2016.
  • <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 ICLR 2016.
  • <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!