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 data-driven user behavior modeling for applications such as future behavior prediction, social recommendation, fraud detection, and event summarization. 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 2018: One paper was accepted to Transactions on Knowledge and Data Engineering on Automated Phrase Mining from Massive Text Corpora.
- January 2018: One workshop paper was accepted to HeteroNAM. Congradulations to Mr. Daheng Wang!
Latest Publications
- Automated Phrase Mining from Massive Text Corpora, TKDE, 2018.
- Multifaceted Event Analysis on Cross-Media Network Data, HeteroNAM Workshop (with WSDM), 2018.
- DPPred: An Effective Prediction Framework with Concise Discriminative Patterns, TKDE, 2017.
- Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach, TBD, 2017.
- Embedding Learning with Events in Heterogeneous Information Networks, TKDE, 2017.
- MetaPAD: Meta Patten Discovery from Massive Text Corpora, KDD, 2017.
- Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing, KDD, 2017.
- ContextCare: Incorporating Contextual Information Networks to Representation Learning in Medical Forum Data, IJCAI, 2017.
- Treatment Effect Estimation with Data-Driven Variable Decomposition, AAAI, 2017.
Last updated on February 25, 2018.