Professor & Research

Cheng HUA

Department of:Management Science

Title:Assistant Professor

Phone:52301586

Email:cheng.hua@sjtu.edu.cn

Employment

2020 - Now Shanghai Jiao Tong University, Management Science, Assistant Professor

Education

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

2022 INFORMS Conference on Service Science Best Paper, Finalist

2022 POMS Internation Conference in China Best Student Paper, Honorable Mention

2022 Receipient of the Shanghai Yangfang Program Award

2021 INFORMS Conference on Service Science Best Student Paper, Second Place Winner

2020 INFORMS Conference on Service Science Best Paper, Winner

2020 Yale University Distinguished Graduate

2018 INFORMS Data Driven Paper Competition, Finalist

2015 James B. Angell Scholar

2014 INFORMS Undergraduate Operations Research Prize, Finalist

2014 IIE Paper Competition, Winner

Research Interests

Data-Driven Decision Making, Healthcare Management, Reinforcement Learning, AI for Science, AI Drug Discovery

Publications

Yang L, Heinlein J, Hua C, Gao R, Hu S, Pfefferle L, He Y. (2022) "Emerging Dual-functional 2D Transition Metal Oxides for Carbon Capture and Utilization: A Review". Fuel, 324 (2022), 124706

Xing W#, Hua C#. (2022) "Optimal Unit Locations in Emergency Service Systems with Bayesian Optimization" Accepted by INFORMS International Conference on Service Science

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

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

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

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

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.

(# indicates equal contribution)

Working Paper

Hua C, Swersey AJ. "Cross-Trained Fire-Medics Respond to Medical Calls and Fire Incidents: A Fast Algorithm for a Three-State Spatial Queuing Problem". (Minor Revision at M&SOM)

Hua C, Swersey AJ, Zheng Z. "A Novel Birth and Death Chain Formulation and Solution to a Spatial Queuing Problem". (Reject and Resubmit at Operations Research)

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". (Available at SSRN)

Hua C#, Xing W#. "A Bayesian Optimization Approach for Solving Optimal Unit Locations in Emergency Service Systems" (Under Review)

Di Z, Wang D, Hua C, Lin X, Hu L, Zhou W. "Automatic Filter Pruning based on Diversity Maximization". (Under Review)

Xing W#, Hua C#. "Real-Time Patient Transfer Under Ambulance Offload Delays" (Under Review)

Hua C, Xing W, Swersey AJ. "Optimal Unit Locations in a Fire-Medic Joint System". (In progress)

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

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

Published/ Working Paper

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". (Available at SSRN)

Hua C, Swersey AJ, Zheng Z. "A Novel Birth and Death Chain Formulation and Solution to a Spatial Queuing Problem". (Reject and Resubmit at Operations Research)

Hua C, Swersey AJ. "Cross-Trained Fire-Medics Respond to Medical Calls and Fire Incidents: A Fast Algorithm for a Three-State Spatial Queuing Problem". (Major Revision at M&SOM)

Wand D, Lin X, Di Z, Hua C, Zhou W. "Automatic Filter Pruning based on Diversity Maximization". (Under Review)

Xing W#, Hua C#. "Real-Time Patient Transfer Under Ambulance Offload Delays" (Under Review)

Yang L, Heinlein J, Hua C, Gao R, Hu S, Pfefferle L, He Y. "Emerging Dual-functional 2D Transition Metal Oxides for Carbon Capture and Utilization: A Review". (Under Revision at Fuel)

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. "Establishment of a Knowledge-and-Data-Driven Artificial Intelligence System with Robustness and Interpretability in Laboratory Medicine". Advanced Intelligent Systems, 2022, 2100204

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

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

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

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

(# indicates equal contribution)

Work In Progress

Hua C, Lee DKK. "New Systematic Trading Algorithm in Stock Market with Machine Learning Methods".

Hua C, Xing W. "Optimal Unit Locations in an Emergency Service System".

Hua C, Xing W, Swersey AJ. "Optimal Unit Locations in a Fire-Medic Joint System".

Baidu
map