I am currently a Senior Applied Scientist at Microsoft. Previously I was a PhD student in the Department of Industrial & Systems Engineering at the University of Wisconsin-Madison and Wisconsin Institute for Discovery, working with Jeff Linderoth and Alberto Del Pia. I obtained my B.S. in Mathematics and Statistics from Nanjing University in 2016 and my M.S. in Computer Sciences from UW-Madison in 2020.

I am interested in broad areas of optimization with more focus on discrete and combinatorial optimization. Most of my latest work are centered around the development and study of polyhedral relaxations for a variety of nonconvex sets that appear frequently in different optimization problems. For more details, you can see my statement of research here.

Papers

• New Classes of Facets for Complementarity Knapsack Problem
  with Alberto Del Pia and Jeff Linderoth.
  Discrete Applied Mathematics (2024)
  

• Recognition of Facets for Knapsack Polytope is Dp-complete
  submitted to Mathematics of Operations Research
  

• On the Complexity of Separating Cutting Planes for the Knapsack Polytope
  with Alberto Del Pia and Jeff Linderoth.
  Mathematical Programming (2023)
  

• Extended Relaxations and Cutting-planes for Linear Programs with Complementarity Constraints
  with Alberto Del Pia and Jeff Linderoth.
  Journal of Global Optimization (2024)
  [slides] [poster]
  

• New Classes of Facets for Complementarity Knapsack Problem
  with Alberto Del Pia and Jeff Linderoth.
  International Symposium on Combinatorial Optimization (ISCO), 2022
  [slides]
  

• On the Complexity of Separation From the Knapsack Polytope
  with Alberto Del Pia and Jeff Linderoth.
  Integer Programming and Combinatorial Optimization (IPCO), 2022
  [slides]
  

• Multi-cover Inequalities for Totally-Ordered Multiple Knapsack Sets: Theory and Computation
  with Alberto Del Pia and Jeff Linderoth.
  Mathematical Programming (2022)
  

• The k-aggregation Closure for Covering Sets
  Discrete Optimization (2023)
  [poster]
  

• On the Polyhedrality of the Chvatal-Gomory Closure
  submitted to Mathematical Programming, under review
  [poster] [video]
  

• Integer Packing Sets Form a Well-Quasi-Ordering
  with Alberto Del Pia, Dion Gijswijt and Jeff Linderoth.
  Operations Research Letters 49(2) 226-230 (2021)
  

• Multi-cover Inequalities for Totally-Ordered Multiple Knapsack Sets
  with Alberto Del Pia and Jeff Linderoth.
  Integer Programming and Combinatorial Optimization (IPCO), 2021
  [poster] [slides] [video]
  

• A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
  with Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen and Jayant R. Kalagnanam.
  Neural Information Processing Systems (NeurIPS), 2020
  [poster] [slides] [video]
  

In Progress

• Generalized Multi-cover Inequalities for Multiple Knapsack Sets
  with Alberto Del Pia and Jeff Linderoth.
  

Other Publications

• Theory and Computation For Cutting-plane Methods In Discrete Optimization
  Ph.D. Dissertation.
  

Miscellaneous

• A Semidefinite Programming Approach to the Optimal Information Structure Problem in Parking Price Competition
  with Yuguang Wu and Xin Wang.
  

Patent Application

• Optimal Interpretable Decision Trees using Integer Linear Programming Techniques filed on February 20, 2020.
  with Pavankumar Murali, Dung Tien Phan and Lam M. Nguyen.
  United States Patent Application 20210264290.
  

• Prediction modeling in sequential flow networks filed on February 20, 2020.
  with Pavankumar Murali and Dhavalkumar C. Patel.
  United States Patent Application 20210264288.
  

Industry Experience

• Full-time Microsoft, Redmond, WA, Aug 2022 - Now

• Research Co-op (IBM Research AI group) at IBM T. J. Watson Research Center, March 2019 - September 2019

Service

• Referee:
  • Journal: Mathematical Programming, Mathematical Programming Computation, INFORMS Journal on Computing, Journal of Machine Learning Research, Discrete Optimization, Discrete Applied Mathematics, SIAM Journal on Optimization
    
  • Conference: IPCO 2020, IPCO 2021, IPCO 2022, IPCO 2023, ICML 2021, ICML 2022, ICML 2023, NeurIPS 2021, NeurIPS 2022, NeurIPS 2023, NeurIPS 2024, ICLR 2022, ICLR 2023, ICLR 2024, ICLR 2025, AAAI 2023 workshop, AISTATS 2025
    

• Session Chair of “Proximity Theory on IP and Topics in Discrete Optimization”, INFORMS 2020 annual meeting
  

• Student Officer, UW-Madison INFORMS student chapter, 2018-2020

Other Stuff

In my spare time, other than research and work, I am also actively engaged in all kinds of physical sports and activities. Soccer, running, hiking and swimming are some of my favorites. I am also competitive in bodybuilding and powerlifting. Sometimes I like posting videos in Instagram.