Yining Wang

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Associate professor

Operations Management Area,
Naveen Jindal School of Management,
University of Texas at Dallas
Richardson, TX, USA

Email: ynwang dot yining at gmail dot com or
yining dot wang at utdallas dot edu

Office: JSOM Building Room 4.810

I am an associate professor of operations management at the Naveen Jindal School of Management of Unversity of Texas at Dallas. Before joining UTD, I am an assistant professor of information systems and operations management at the Warrington College of Business of University of Florida. I obtained my PhD in Machine Learning at Carnegie Mellon University, advised by Aarti Singh. Before coming to CMU, I was an undergraduate student at the Yao Class in Tsinghua University.

I am generally interested in machine learning and its applications in revenue management and information systems research. My main research focus is on the development and analysis of sequential decision making methods under uncertainty, with emphasis to revenue management applications such as assortment optimization and dynamic pricing. My research is also connected with bandit online learning and reinforcement learning in machine learning research.

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Education


Carnegie Mellon University

PhD in Machine Learning, School of Computer Science
Advisor: Aarti Singh

2014 - 2019


Tsinghua University

B. Eng. in Computer Science
Undergraduate thesis: Spectral Methods in Supervised Topic Modeling
Thesis advisor: Jun Zhu

2010 - 2014


Experiences


Microsoft Research New York City

Research Intern.
Supervisor: Akshay Krishnamurthy.

June 2019 - Aug 2019

Research topics include combinatorial bandit and reinforcement learning.

Microsoft Research Redmond

Research Intern.
Supervisor: Dengyong (Denny) Zhou and Chong Wang.

June 2016 - Aug 2016

Research topics include deep neural network and natural language processing systems.

Symantec Research Labs

Research Intern.
Supervisor: Petros Efstathopoulos and Kevin Roundy.

June 2015 - Aug 2015

Design and implementation of Project Harbinger, a system for enterprise level malicious attack prediction based on collaborative filtering.

Tsinghua University

RA at State Key Laboratory of Intelligent Technology and Systems.
Advisor: Jun Zhu

Aug 2013 - Jul 2014

Research topics include small-variance asymptotic analysis for Bayesian nonparametric models and spectral learning for latent variable models.

Massachusetts Institute of Technology

Undergraduate exchange program at Department of EECS

Jan 2013 - May 2013

Courses: Inference and Information, Nonlinear Programming and Automatic Speech Recognition
Research advisors: Jingjing Liu and Cynthia Rudin
Research topics: semantic role labeling in spoken dialogue systems and discrete optimization for learning to rank applications.

Microsoft Research Asia

Research intern at Technical Strategies group
Supervisors: Eric Chang and Junichi Tsujii

Oct 2011 - Jan 2013

Development of natural language processing applications in the medical informatics domain.

Papers

Full list of publications available here.