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. I visited Professor Christos Faloutsos at Carnegie Mellon University in 2013 and visited Professor V.S. Subrahmanian at University of Maryland Institute for Advanced Computer Studies, College Park in 2016. [C.V.]

My research focuses on data-driven user behavior modeling for applications such as online behavior prediction, social recommendation, fraud detection, event summarization, mission planning, and effective teaching. It is at the intersection of social media analysis, network science, text mining, information extraction, spatiotemporal data mining, machine learning, and artificial intelligence.

What's New

• February 2019: One research paper and one demo paper were accepted to WWW 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: My first student's conference paper Multi-Type Itemset Embedding for Learning Behavior Success got accepted to ACM SIGKDD 2018 with long presentation. Congratulations to the leading author Mr. Daheng Wang!
• May 2018: Three papers were accepted to ACM SIGKDD 2018 with long presentation.

Latest Publications

• 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 February 14, 2019.