I'm an assistant professor in the Department of Computer Science and Engineering, College of Engineering at the University of Notre Dame. I joined the faculty in August 2017, after completing my Ph.D. in Computer Science and Technology at Tsinghua University in 2015 and two-year postdoctoral training in Computer Science at the University of Illinois at Urbana-Champaign. [C.V.]

My research focuses on Computational Behavior Modeling for applications such as behavior prediction, recommendation, fraud detection, event detection, planning, and decision making. It is at the intersection of network science, text mining, information extraction, machine learning, and artificial intelligence.

What's New

• July 2019: One paper was accepted to MICCAI.
• May 2019: I am thrilled to receive the Global Gateway Faculty Research Award with Prof. Liang Cai from the Department of History.
• April 2019: Two paper were accepted to ACM SIGKDD 2019 Research Track.
• March 18, 2019: Congratulations to Ms. Xueying Wang on passing Master Thesis Defense: "Improving Information Extraction via Truth Finding with Data-Driven Commonsense"
• February 2019: One research paper and one demo paper were accepted to TheWebConf 2019.
• October 2018: One paper was accepted to IEEE BigData 2018.
• August 2018: One paper was accepted to IEEE ICDM 2018.
• August 2018: One paper was accepted to ACM CIKM 2018 Industry Track.
• June 2018: One regular paper was accepted to ACM BCB 2018 with long presentation.
• May 2018: Three papers were accepted to ACM SIGKDD 2018 with long presentation.

Latest Publications

• TUBE: Embedding Behavior Outcomes for Predicting Success, KDD, 2019. (Oral)
• The Role of 'Condition': A Novel Scientific Knowledge Graph Representation and Construction Model, KDD, 2019.
• Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System, TheWebConf, 2019. (Demo)
• A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts, TheWebConf, 2019.
• Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs, IEEE BigData, 2018.
• Doc2Cube: Allocating Documents to Text Cube without Labeled Data, ICDM, 2018.
• Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability, CIKM, 2018.
• CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data, ACM BCB, 2018.
• Multi-Type Itemset Embedding for Learning Behavior Success, KDD, 2018.
• TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction, KDD, 2018.
• TaxoGen: Constructing Topical Concept Taxonomy by Adaptive Term Embedding and Clustering, KDD, 2018.
• Automated Phrase Mining from Massive Text Corpora, TKDE, 2018.
• DPPred: An Effective Prediction Framework with Concise Discriminative Patterns, TKDE, 2018.

Last updated on July 1, 2019.