Chen Yang (杨晨）
Email: cyangap@connect.ust.hk
Links: CV / Google Scholar

I am a Ph.D. candidate in Department of Industrial Engineering and Decision Analytics (IEDA) at Hong Kong University of Science and Technology (HKUST), where I am fortunate to be advised by Professor Jin Qi.

My research interests are in data-driven decision-making and distributionally robust optimization, with applications in healthcare operations management.

Education

• Ph.D. in Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, 2020-present
• M.Phil in Physics, Hong Kong University of Science and Technology, 2018-2019
• B.S. in Physics, University of Chinese Academy of Science, University of Chinese Academy of Sciences, 2014-2018
• Exchanged program, Technical University of Munich, Germany, 2017 fall

Publications

Journal Publications

• Elective Surgery Sequencing and Scheduling under Uncertainty
  Xiaojin Fu, Jin Qi, Chen Yang*, Han Ye
  Manufacturing & Service Operations Management (2024) 26(3):893-910
  2023 POMS-HK Best Student Paper Award Finalist

Conference Proceedings

• Fragility Index: A New Approach for Binary Classification
  Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan
  Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), 2918-2929

• Solving the Traveling Salesman Problem with a Multiagent System
  Chen Yang, Kwok Yip Szeto
  2019 IEEE Congress on Evolutionary Computation (CEC), 158 - 165

Working Papers

• Fragility-aware Classification for Understanding Risk and Improving Generalization
  with Jin Qi, Ruohan Zhan

• Optimal Selling Channel in Online Platforms: The Roles of Network Structure
  with Lijian Lu, Jin Qi

• Hotspot Resolution in Cloud Computing
  with Xinming Han, Jin Qi, Jie Song

Teaching Experience

Hong Kong University of Science and Technology
Teaching Assistant

• Prescriptive Analytics (2021, 2022, 2023 Fall) Average student evaluation: 3.82/5.00 (Department average: 3.69/5.00)
• Transportation Systems (2021, 2022 Spring) Average student evaluation: 4.00/5.00 (Department average: 3.92/5.00)

Projects

• Large-scale dynamic pricing in online retailing, with Alibaba Group, 2022-2023
• Operations management in surgery planning and resource allocation, with Hong Kong United Christian Hospital , 2024-present
• Operations management in the rheumatology department, with Hong Kong Tseung Kwan O Hospital, 2024-present

Selected Awards

• 2023 POMS-HK Best Student Paper Award Finalist, 2023
• Hong Kong PhD Fellowship, 2020-2023
• HKUST Redbird Award, 2020
• Postgraduate Studentship, HKUST, 2018
• Third prize in the 30th Chinese Physics Olympiad, 2013

Selected Presentations

• Elective Surgery Sequencing and Scheduling under Uncertainty
  • POMS-HK Conference, Hong Kong, 01/2023
  • INFORMS Healthcare Conference, Toronto, Canada, 07/2023
  • INFORMS Annual Meeting, Pheonix, USA, 10/2023
• Fragility Index: A New Approach for Binary Classification
  • ACM SIGKDD Conference, Los Angeles, USA, 08/2023
• Optimal Selling Channel in Online Platforms: The Roles of Network Structure
  • POMS-HK Conference, Hong Kong, 01/2024
• Fragility-aware Classification for Understanding Risk and Improving Generalization
  • (Upcoming) INFORMS Annual Meeting, Seattle, USA, 10/2024

Professional Activities

Reviewer for Naval Research Logistics, Production and Operations Management Society.

Session chair at POMS-HK 2024.