CV

Education

Bachelor: The Chinese University of Hong Kong, Shenzhen, 2020-2024
- Major: Financial Engineering - FinTech
- Minor: Mathematics and Applied Mathematics
- Honors: First Class Honors
PhD: Nanyang Technological University, 2024–Present
- Program: Electrical and Electronic Engineering (EEE)
- CGPA: 4.92/5

[2024] Global Climate Innovator Trailblazer by Global Climate Innovation Center
[2024] Youth Pioneer & Youth Trainer by Global Alliance of Universities on Climate
[2024] Outstanding Undergraduate Student Teaching Fellow
[2022-2024] Undergraduate Research Award
[2021-2023] Dean’s List Honor of School of Management and Economics
[2023] Postgraduate Group National Outstanding Award (Top Award) - China National College Students Competition on Energy Economics
[2023] First Prize & Green Angel Excellent Award - China Forum on PRME - Youth Forum Speech Competition (Top Award)
[2022] National Second Prize (Top 6) - CCF “Sinan Cup” Quantum Algorithms
[2022] Undergraduate Group National Outstanding Award (Top Award) - China National College Students Competition on Energy Economics
[2022] Meritorious Winner - Mathematical Contest in Modeling
[2021] Master’s List Awards Scheme of Muse College

Journal

[2025]

Z. Zhang, Z. Lu, Y. Wang, Z. Y. Wang, J. Sun, X. Ding, W. Liu, X. Zhou, W. Tu, L. Sun, and J. A. Lai, “Manipulated directional hydrogen spillover for enhanced photothermal tandem ethane dehydrogenation,” ACS Catalysis, vol. 15, pp. 9706–9716, 2025.📄
Y. Cheng, H. Zhao, X. Zhou, J. Zhao, Y. Cao, and C. Yang, “GAIA–A Large Language Model for Advanced Power Dispatch,” Scientific Reports.📄

[2024]

X. Zhou, H. Zhao, Y. Cao, X. Fei, G. Liang and J. Zhao, “Carbon market risk estimation using quantum conditional generative adversarial network and quantum amplitude estimation,” Energy Conversion and Economics 5 (4), 193-210. 📄
X. Fei, H. Zhao, X. Zhou, J. Zhao, T. Shu and F. Wen, “Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition,” Scientific Reports 14, 16991 (2024). 📄

[2023]

Y. Cao, X. Zhou, X. Fei, H. Zhao, W. Liu, and J. Zhao, “Linear-layer-enhanced quantum long short-term memory for carbon price forecasting,” Quantum Machine Intelligence, vol. 5, no. 2, pp. 1–12, 2023. 📄

Conference

[2025]

🏆 (Best Paper Session) X. Zhou, H. Zhao, Y. Cheng, G. Liang, G. Liu, W. Liu, Y. Xu, and J. Zhao, “ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models,” 2025 IEEE Power & Energy Society General Meeting (PESGM). 📄
X. Zhou, Y. Cheng, Y. Zhong, H. Zhao, Y. Zhu, X. Cai, Y. Xu and J. Zhao, “Large Language Model for Power System Scenario Generation Considering Weather Condition - A Case Study,” 2025 IEEE Power & Energy Society General Meeting (PESGM).

[2024]

Y. Cheng, X. Zhou, H. Zhao, J. Gu, X. Wang and J. Zhao, “Large Language Model for Low-Carbon Energy Transition: Roles and Challenges,” 2024 4th Power System and Green Energy Conference (PSGEC 2024) (pp. 810-816). IEEE.📄
T. Shu, X. Zhou, Y. Xie, H. Zhao, X. Chen and R. Wang, “Deep Learning based Cloud Microphysics Parameterization Scheme for Numerical Weather Prediction with 1DD-CNN,” 2024 The 7th International Conference on Artificial Intelligence and Big Data (ICAIBD 2024) (pp. 47-52). IEEE.📄

[2023]

Y. Li, D. Leng, Y. Cao, H. Zhao, X. Zhou, J. Zhao, “Strategic Bidding and Trading in Joint Electricity-Carbon Market with Deep Reinforcement Learning,” In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2) (pp. 5183-5189). IEEE.📄

Report

[2023]

“2023 Carbon Rating Report of China’s 100 Oversea Listed Companies,” (REPORT) Published at the 2023 Global Forum on Sustainable Development (Executive Board) 📄

[2022]

“2022 Carbon Rating Report of China’s 100 Oversea Listed Companies,” (REPORT) Published at the 2022 Global Forum on Sustainable Development (Executive Board) 📄

T. Shu, X. Zhou, H. Zhao, and J. Feng, “The method, device, and storage medium for cloud microphysical parameterization in numerical weather forecasting models”.

Journal Reviewer

Conference Reviewer