Zhu (Drew) Zhang

  • Alfred J. Verrecchia Endowed Chair in Artificial Intelligence and Business Analytics, Professor - Limited Joint Appointment
  • Business
  • Email: zhuzhang@uri.edu


Professor Zhang is a passionate researcher, teacher, and practitioner in the areas of artificial intelligence and business analytics. His intellectual aspiration is to computationally discover valuable knowledge and intelligence from massive amounts of data available in various structures, genres and streams. He is keen on building AI-powered solutions to practical problems in a wide range of domains.

Drew’s industry experience spans IBM, Microsoft, Google, and Allianz, etc. He enjoys bringing real-life richness and relevance into his classroom.


Ph.D., Information and Computer Science, University of Michigan, 2005

Selected Publications

JP1. Gupta, A.+ and Zhang, Z. Neural Topic Modeling via Discrete Variational Inference. Accepted for publication at ACM Transactions on Intelligent Systems and Technology (TIST).

JP2. Zhai, S. and Zhang, Z. Read the News, not the Books: Forecasting Firms’ Long-Term Financial Performance via Deep Text Mining. Accepted for publication at ACM Transactions on Management Information Systems (TMIS).

JP3. Gupta, A.+ and Zhang, Z. Vector-Quantization-Based Neural Topic Modeling. ACM Transactions on Intelligent Systems and Technology (TIST) 12:3: 1-30 (2021).

JP4. Gupta, A.+ and Zhang, Z. Swings and Roundabouts: Attention-Structure Interaction Effect in Deep Semantic Matching. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 28: 2295-2307 (2020).

JP5. Schwab, A. and Zhang, Z. A New Methodological Frontier in Entrepreneurship Research: Big Data Studies. Entrepreneurship Theory and Practice 43(5): 843-854 (2019).