Li, Richard Yuze
Li, Richard Yuze 李育澤
BASc (University of Toronto); MSc (Chinese Academy of Sciences); PhD (Boston University)
Assistant Professor
Contact
Department of Decisions, Operations and Technology
9/F, Cheng Yu Tung Building
12 Chak Cheung Street
Shatin, N.T., Hong Kong
+852 3943 7813
Biography
Yuze (Richard) Li is an Assistant Professor in the Department of Decision, Operations and Technology at CUHK Business School, The Chinese University of Hong Kong. He holds a PhD in Operations and Technology Management from the Questrom School of Business, Boston University, an MSc in Management Science and Engineering from the Chinese Academy of Sciences, and a BASc in Industrial Engineering from the University of Toronto. His research examines how emerging technologies—such as artificial intelligence and decentralised (blockchain-based) platforms—both address and create sustainability challenges across environmental, social, and governance dimensions, drawing on tools from operations management, game theory, and machine learning. His work has appeared in leading journals including Management Science, Nature Climate Change, Nature Communications, National Science Review, and the European Journal of Operational Research. His research on the environmental impact of blockchain has been featured by international media including The New York Times, The Economist, Bloomberg, BBC, and CNBC.
Teaching Areas
Research Interests
Sustainability
Emerging Technologies
Artificial Intelligence
Machine Learning
Game Theory
Publications & Working Papers
Working Papers
- Yuze Li, Jussi Keppo, Gerry Tsoukalas, and Nuo Yuan (Working), “On the Fragility of AI Agent Collusion”.
- Yuze Li, Pnina Feldman, and Gerry Tsoukalas (Working), “Green Incentives in Decentralized Consortia”.
- Yuze Li, Dokyun (DK) Lee, and Nuo Yuan (Working), “Is ESG Worth Anything? On the Economic Value of Amazon Climate Pledge”.
Journal Publications
- Shangrong Jiang, Yuze Li, and Shouyang Wang (Forthcoming), “Financial Inclusion via Blockchain: Evidence from a Natural Experiment,” Management Science.
- Yuze Li, Peng Jia, Shangrong Jiang, Haijiang Li, Haibo Kuang, Yongmiao Hong, Xueting Zhao, Dabo Guan, and Shouyang Wang (2023), “The Climate Impact of High Seas Shipping,” National Science Review, 10(3), nwac279.
- Yuze Li, Shangrong Jiang, Xuerong Li, and Shouyang Wang (2022), “Hybrid Data Decomposition-Based Deep Learning for Bitcoin Prediction and Algorithmic Trading,” Financial Innovation, 8(1), 1-24.
- Yuze Li, Shangrong Jiang, Shouyang Wang, and Lin Zhao (2022), “Blockchain Competition: The Tradeoff Between Platform Stability and Efficiency,” European Journal of Operational Research, 296(3), 1084-1097.
- Kailan Tian, Yu Zhang, Yuze Li, Xi Ming, Shangrong Jiang, Hongbo Duan, Cuihong Yang, and Shouyang Wang (2022), “Regional Trade Agreement Burdens Global Carbon Emissions Mitigation,” Nature Communications, 13, Article 408.
- Yuze Li, Shangrong Jiang, Quanying Lu, Shouyang Wang, and Yunjie Wei (2022), “Volatility Communicator or Receiver? Investigating the Volatility Spillover Mechanisms among Cryptocurrency, Energy and Major Commodities,” Research in International Business and Finance, 59, 101543.
- Yuze Li, Shangrong Jiang, Shouyang Wang, and Yunjie Wei (2022), “Take Bitcoin into Your Portfolio: A Novel Ensemble Portfolio Optimization Framework for Broad Commodity Assets,” Financial Innovation, 7(1), 1-26.
- Yuze Li, Qing Zhu, Fan Zhang, and Shan Liu (2022), “An Anticrime Information Support System Design: Application of K-means-VMD-BiGRU in the City of Chicago,” Information & Management.
- Shangrong Jiang, Yuze Li, Quanying Lu, Yongmiao Hong, Dabo Guan, Yu Xiong, and Shouyang Wang (2021), “Policy Assessments for the Carbon Emission Flows and Sustainability of Bitcoin Blockchain Operation in China,” Nature Communications, 12(1).
- Yuze Li, Shangrong Jiang, Xuerong Li, and Shouyang Wang (2021), “The Role of News Sentiment in Oil Futures Returns and Volatility Forecasting: A Data-Decomposition Based Deep Learning Approach,” Energy Economics, 95, 105140.
- Yuze Li, Shangrong Jiang, Yunjie Wei, and Jianming Shi (2021), “Pricing Strategies for Blockchain Payment Service in Supply Chains with Heterogeneous Trust Levels,” International Journal of Production Economics, 242, 108282.
- Yuze Li, Craig Fernandes, Ronen Yakubov, Amrit Prasad, and Timothy Chan (2020), “Predicting Plays in the National Football League,” Journal of Sports Analytics, 6(1), 35-43.
Awards & Honours
- Outstanding Research Award, Questrom School of Business, Boston University, 2024
- Doctoral Fellowship, Questrom School of Business, Boston University, 2021-2026
- Best Paper Award, International Conference on Energy Finance, 2020
- Siwei Cheng Scholarship, Chinese Academy of Sciences, 2021
- “Belt and Road” Scholarship, Chinese Academy of Sciences, 2018-2021
- Dean’s Honours List, University of Toronto, 2014-2018
- Arnold T. Christie Scholarship, University of Toronto, 2017
- Shell Canada Limited Scholarship, University of Toronto, 2016
- Ontario Professional Engineers Scholarship, University of Toronto, 2016
- First Place, Toronto Hardware Hackathon, 2016
- First Place, SAS Sports Analytics Competition, 2016
- President’s Scholar of Excellence, University of Toronto, 2014
Academic/Professional Services
- Session Chair, Sustainability and Corporate Social Sustainability Track, Decision Sciences Institute (DSI) Annual Meeting, 2025
- Session Chair, Supply Chain Management Track, POMS Annual Conference, 2024
Business School in the region to offer BBA, MBA & Executive MBA programme