Zizhuo Wang

Zizhuo Wang

Zizhuo Wang

Associate Professor,
Industrial and Systems Engineering

Contact

Lind Hall
Rm 353
207 Church Street Se

Minneapolis,

MN

55455

Education

B.S. in Mathematical Sciences, Tsinghua University, Beijing, China, 2007
M.S. in Mathematical Finance, Stanford University, Stanford, CA, 2011
Ph.D. in Management Science and Engineering, Stanford University, Stanford, CA, 2012

Professional Background
  • Assistant Professor, Industrial and Systems Engineering, University of Minnesota, 2012-2018
  • Associate Professor, Industrial and Systems Engineering, University of Minnesota, 2018-present
Scientific & Professional Societies
INFORMS
POMS
Biography

Dr. Zizhuo Wang is an Associate Professor in the Department of Industrial and Systems Engineering (ISyE) at the University of Minnesota. He received his PhD in Management Science and Engineering from Stanford University in 2012. Prior to that, he graduated from the Department of Mathematical Sciences in Tsinghua University at 2007 and obtained his M.S. in Mathematical Finance in 2011 from Stanford University.  He has received Stanford Graduate Fellowship for several years.

Dr. Zizhuo Wang's research interests mainly focus on revenue management and operations management, especially, he has done much research in consumer behavior, revenue management pricing and marketing. He has published over 20 papers in top journals in the field of operations research and management science, including Operations Research, Management Science, Manufacturing and Service Operations Management (MSOM), Production and Operations Management, etc. He has also given extensive talks in conferences in China and overseas. In 2015, he received the nomination for the best practice award from the Revenue Management Society of INFORMS (Institute for Operations Research and Management Science). In addition, he has received several research grants for his work in revenue management.

Research Interests

My research interests mainly lie on revenue management and operations management, especially, he has done much research in consumer behavior, revenue management pricing and marketing. He has published over 20 papers in top journals in the field of operations research and management science, including Operations Research, Management Science, Manufacturing and Service Operations Management (MSOM), Production and Operations Management, etc. He has also given extensive talks in conferences in China and overseas. In 2015, he received the nomination for the best practice award from the Revenue Management Society of INFORMS (Institute for Operations Research and Management Science). In addition, he has received several research grants for his work in revenue management.

Research Grants:

  • Adobe Digital Marketing Research Award. Real-Time Learning and Optimization with Applications to Personalized Product/Ad Recommendation (with Xi Chen). Total Amount $50,000.  Oct 2017 - Sept 2018.
  • NSF Research Funding CMMI-1462676. Revenue Management with Network Effects. Co-Principal Investigator (PI: William L. Cooper). Total Amount $269,863. Sept 2015 - Aug 2018.
  • NSF Research Funding CMMI-1434541. Learning While Doing Algorithms for Online Decision Making Problems. Total Amount $285,599. Sept 2014-Aug 2017.
Currently Teaching Courses
IE 5531 (Engineering Optimization)
IE 3521 (Statistics Quality and Reliability)
Honors and Awards
  • Finalist of INFORMS Best Undergraduate Research Award (as Instructor), 2018
  • Adobe Digital Marketing Research Award, 2017
  • Honorable Mention in the Best Paper Award in the 10th Conference of the Chinese Scholar Association for Management Science and Engineering (CSAMSE), 2017 
  • Finalist of INFORMS Best Undergraduate Research Award (as Instructor), 2015 
  • Finalist of INFORMS Revenue Management and Pricing Section Practice Award, 2015
Selected Publications
  • Information Provision and Revenue Management in the Presence of Consumer Search Costs (with Yan Liu and William Cooper). Production and Operations Management, 2019.
  • On the Relationship between Several Discrete Choice Models (with Guiyun Feng and Xiaobo Li). Operations Research, 2017.
  • Consumer Choice Models with Endogenous Network Effects (with Ruxian Wang). Management Science, 2017.
  • Intertemporal Price Discrimination via Reference Price Effects. Operations Research, 2016.
  • Optimal Pricing for a Multinomial Logit Choice Model with Network Effects (with Chenhao Du and William Cooper). Operations Research, 2016.
  • Pricing Personalized Bundles: A New Approach and An Empirical Study (with Zhengliang Xue, and Markus Ettl). Manufacturing and Service Operations Management (M&SOM), 2016.
  • Hidden-City Ticketing: The Cause and Impact (with Yinyu Ye). Transportation Science, 2016.
  • Likelihood Robust Optimization for Data-Driven Problems (with Peter Glynn and Yinyu Ye). Computational Management Science, 2016.
  • A Dynamic Near-Optimal Algorithm for Online Linear Programming (with Shipra Agrawal, and Yinyu Ye). Operations Research, 2014.
  • Close the Gaps: A Learning-while-Doing Algorithm for Single-Product Revenue Management Problems (with Shiming Deng and Yinyu Ye). Operations Research, 2014.
  • A Note on Appointment Scheduling with Piecewise Linear Cost Functions (with Dongdong Ge, GuohuaWan, and Jiawei Zhang). Mathematics of Operations Research, 2014.
  • Complexity of Unconstrained L2-Lp Minimization (with Xiaojun Chen, Dongdong Ge and Yinyu Ye). Mathematical Programming, 2014.
  • Committed versus Contingent Pricing under Competition (with Ming Hu). Production and Operations Management, 2014.
  • A Unified Framework for Dynamic Prediction Market Design (with Shipra Agrawal, Erick Delage, Mark Peters and Yinyu Ye). Operations Research, 2011.
  • Further Relaxations of the Semidefinite Programming Approach to Sensor Network Localization (with Song Zheng, Yinyu Ye and Stephen Boyd). SIAM Journal on Optimization, 2008.