DM2 Lab: Data Mining towards Decision Making

"Build trustworthy intelligent systems to support decision-making process with rich knowledge in massive behavior data." -- dm_square

Data-driven User Behavior Modeling: Understand behavior intention, model social and spatio-temporal context, represent unstructured behavior content, and consolidate into real use such as recommender systems, anti-fraud systems, and event monitoring systems.



Graduate Students

Qingkai Zeng: PhD student (2018)
Text mining: Learning for faceted concept hierarchy construction
Haiqiao Zhang: PhD student (2016), co-advised with Dr. Yiyu Shi
Text mining: Joint optimization on deep IE models and hardware design
Xueying Wang: PhD student (2016)
Text mining: Conditional statement extraction from text documents
Daheng Wang: PhD student (2016), co-advised with Dr. Nitesh Chawla
Representation learning: Modeling dynamic heterogeneous behavior data for mission planning
Tong Zhao: Master student (2017), PhD student (2018)
Suspicious behavior detection: Modeling user behaviors for actionable solutions

Visiting Students

Tianwen Jiang: PhD student (2018-2019), Harbin Institute of Technology, China
Text mining: Scientific knowledge graph construction
Wenhao Yu: Junior student (2018), Sichuan University, China
Text mining: Scientific evidence database construction


Zachary Eberhart
Graduate research: Sept.-Nov. 2017
Representation learning
Qi Li
Graduate research: Sept. 2017-Jan. 2018
Network science and text mining

Publications: Text Mining

Publications: Representation Learning

Publications: Suspicious Behavior Detection