Cheng HUA

  • Department:Management Science
  • Phone:+86 (0)21 52301586
  • Title:Associate Professor
  • Email:cheng.hua@sjtu.edu.cn
  • Employment

    2023 - Now      Shanghai Jiao Tong University,  Associate Professor

    2020 - 2023      Shanghai Jiao Tong University,  Assistant Professor


    2015 - 2020    Yale Scool of Management, Operations Management, Ph.D.

    2015 - 2018    Yale University, Operations Management, Mphil

    2015 - 2017    Yale University, Statistics and Data Science, MA

    2013 - 2015    University of Michigan - Ann Arbor, Industrial and Operations Engineering, BSE

    2011 - 2015    Shanghai Jiaotong University, Electrical and Computer Engineering, BSE

    Honors and Awards

    2023   Most Favored Instructor Among Undergraduate Students at SJT

    2023   POMS International Conference in China Best Paper Award, First Place

    2023   ISCOM National Conference on Supply Chain and Operations Management Best Paper, Second Place

    2023   INFORMS Service Science Best Cluster Paper Award, Finalist

    2022   INFORMS Conference on Service Science Best Paper, Finalist

    2022   POMS International Conference in China Best Paper Award, Honorable Mention

    2022   SJTU Outstanding Thesis Advisor (Top 1%)

    2020   INFORMS Conference on Service Science Best Paper, Winner

    2018   INFORMS Data Driven Paper Competition, Finalist

    2015   James B. Angell Scholar

    2014   INFORMS Undergraduate Operations Research Prize, Finalist

    2014   IIE Paper Competition, Winner

    Awards by Supervised Students

    2022   INFORMS Workshop on Data Science, Student Scholarship

    2022   INFORMS Section on Finance Best Student Paper, Third Prize Winner

    2021   INFORMS Conference on Service Science Best Studen Paper, Second Prize Winner

    Research Interests

    Methodology: Data-Driven Optimization, Stochastic Processes, Aritificial Intelligence, Approximation Algorithms

    Applications: Healthcare Operations, Service Operations, AI for Science

  • Publications

    1. Li Z, Zhao C, Wang H, Ding Y, Chen Y, Schwaller P, Yang K, Hua C*, He Y*. (2024) "Interpreting Chemisorption Strength with AutoML-based Feature Deletion Experiments". PNAS, 121 (12), e2320232121

    2. Hua C, Swersey AJ. (2022) "Cross-Trained Fire-Medics Respond to Medical Calls and Fire Incidents: A Fast Algorithm for a Three-State Spatial Queuing Problem". Manufacturing & Service Operations Management, 24(6), 3177-3192.

    3. Liu H, Hua C, Lei C. (2021) "Dynamic Volunteer Firefighter Planning Under Stochastic Service Disruptions".  Transportation Research Part E, 154 (2021) 102459

    4. Zhang H, Shi C, Qin C, Hua C.  (2017) "Stochastic Regret Minimization for Revenue Management Problems with Nonstationary Demands" Naval Research Logistics. Vol. 63 (6), 433-448.

      - Finalist, INFORMS Undergraduate Operations Research Prize

      - First Prize, IIE Best Student Paper Competition

    5. Chen J, Huang X, Hua C, He Y, Schwaller. (2023) "AdsGT: Graph Transformer for Predicting Global Minimum Adsorption Energy" NeurIPS 2023 AI for Science Workshop

    6. Xing W#, Hua C#. (2022) "Optimal Unit Locations in Emergency Service Systems with Bayesian Optimization" Proceedings of 2022 INFORMS International Conference on Service Science.  INFORMS International Conference on Service Science, 439-452

    7. Wang B#, Jing J#, Huang X#, Hua C#, Qin Q, Jia Y, Jiang L, Gao B, Wu L, Zeng X, Wang F, Liu S, Mao C. (2022) "Establishment of a Knowledge-and-Data-Driven Artificial Intelligence System with Robustness and Interpretability in Laboratory Medicine". Advanced Intelligent Systems, 4 (5), 2100204

    8. Hua C#, Xing W#. (2021) "Patient Transfer Under Ambulance Offload Delays: An Approximate Dynamic Programming Approach." INFORMS International Conference on Service Science, 337-350

    9. Hua C, Zaman T.  (2020) "Optimal Dispatch in Emergency Service System via Reinforcement Learning".  INFORMS International Conference on Service Science, 75-87

    (# indicates equal contribution) 

    Working Paper

    1. Xing W#, Hua C#. "Multi-Priority Patient Transfer under Ambulance Offload Delay" (Under Revision)

      - Second Prize, INFORMS Conference on Service Science Best Student Paper

    2. Hua C, Luo J, Swersey AJ, Wen Y. "A Novel Birth and Death Chain Formulation and Solution to a Spatial Queuing Problem". (Under Revision)

    3. Hua C, Swersey AJ, Chiyoshi F, Innanoni AP, Morabito R. "Improving Productivity: An Emergency Service System in which Cross-Trained Fire-Medics Respond to Medical Calls and Fire Incidents". (Under Revision)

    4. He J#, Hua C#, Zheng Z. "Scalable Reinforcement Learning Algorithms with Dynamic Financial Data Embedding". (Under Revision)

      - Third Prize, INFORMS Section on Finance Best Student Paper

    5. Hua C, Wang T, Zhang J, Zhou Z. "Asymptotically Optimal Policies for Dynamic Ambulance Dispatch" (Under Review)

      - First Prize, POM International Conference in China Best Paper

      - Finalist, INFORMS Service Science Best Cluster Paper Award

    6. Hua C, Swersey AJ, Xing W. "A Bayesian Optimization Model for Locating Emergency Service Units" (Under Review)

      - Finalist, INFORMS Conference on Service Science Best Paper

      - Honorable Mention, POMS International Conference Best Paper Award

    7. Hua C, Zaman T. "Optimal Dispatch in Emergency Service System". (In progress)

      - First Prize, INFORMS Conference on Service Science Best Paper

    8. Hua C. "Approximating the Performance of Three-State Emergency Service Systems". (In Progress)

  • AM217 Regression Analysis

    BU366 Reinforcement Learning

    Supervised Students: 

    Wenqian Xing, Master's student, First Position: Stanford University, MS&E, PhD

    Jinghai He, Undergraduate student, First Postition, UC Berkeley, IEOR, PhD

    Xu Huang, Undergraduate student, First Position: UC Berkeley, Material Science and Engineering, PhD

    Bingrui Bian, Undergraduate student, First Position: Purdue University, Operations Management, PhD

    Zihao Wu, Master's student, First Position: Hong Kong University of Science and Technology, Operations Management, PhD