About Me
I am currently a Ph.D. candidate in Analytics & Operations at Imperial College Business School, where I am very fortunate to work with Prof. Wolfram Wiesemann and Prof. Zhe Liu. My research lies at the intersection of data-driven optimization, generative AI, machine learning, geometry, and game theory, with broad applications in data science.
I received my MRes degree in Analytics & Operations from the Imperial College Business School in 2024. Prior to that, I obtained both my Bachelor's and Master's degrees from the School of Mathematics and Statistics at the Beijing Institute of Technology. During my undergraduate studies, I also participated in an exchange program at the School of Arts and Sciences, Rutgers University, from September 2018 to March 2019.
Research
Research Interests
- Data-driven Optimization
- Generative AI and Machine Learning
- Game Theory
- Geometry
Publications (*: equal contribution).
Data-driven optimization
Robust Weakly Coupled Markov Decision Processes
Fupeng Sun, Huikang Liu, Zhe Liu, Wolfram Wiesemann. Working in Progress.
Generative AI and machine learning
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
Tianyi Bai*, Zengjie Hu*, Fupeng Sun*, Jiantao Qiu*, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang. Preprint, 2025. [Link]
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan. Preprint, 2025. [Link]
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025, Main). [Link]
Game theory
The Role of Prescreening in Auctions with Predictions
Yanwei Sun*, Fupeng Sun*, Chiwei Yan, Jiahua Wu. Preprint, 2025. [Link]
Restricting Entries to All-Pay Contests
Fupeng Sun*, Yanwei Sun*, Chiwei Yan, Li Jin. ACM Conference on Economics and Computation, EC'24. [Link]
Geometry and other earlier works
ECG Classification based on Wasserstein Scalar Curvature
Fupeng Sun, Yin Ni, Yihao Luo, Huafei Sun. Entropy, 2022. [Link]
Relevant Patent: 202210595419.0, Pending issuance of the notice of grant and registration
A novel heart disease classification algorithm based on Fourier transform and persistent homology
Yin Ni, Fupeng Sun, Yihao Luo, Zhengrui Xiang, Huafei Sun. 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA). [Link]
Relevant Patent: CN114287950A
The Bayesian Inference of Pareto Models Based on Information Geometry
Fupeng Sun, Yueqi Cao, Shiqiang Zhang, Huafei Sun. Entropy, 2021. [Link]
Others
Awards
- President’s Scholarship at Imperial College London, 2024–2028.
- Dean’s List for Academic Excellence at Imperial College Business School, 2023–2024.
- XUTELI Scholarship at Beijing Institute of Technology (BIT), 2023. (Highest honor at BIT)
- Self-Improvement Star Scholarship of Chinese University Students, awarded by the Ministry of Education of the People's Republic of China, 2022. (Only 1,832 students received this nationwide)
- National Scholarship for Graduate or Undergraduate Students, awarded by the Ministry of Education of the People's Republic of China, 2022, 2021, 2019, and 2017.
- Excellent Student of Beijing, awarded by the Beijing Municipal Education Commission, 2022 and 2021.
- First prize, Beijing Site, the 8th China International College Students' "Internet + " Innovation and Entrepreneurship Competition, awarded by the Organizing Committee of China International College Students' "Internet + " Innovation and Entrepreneurship Competition, 2022.
- Outstanding Graduate of Beijing, awarded by the Beijing Municipal Education Commission, 2020.
- Second Prize, National College Students Mathematical Competition (CMC), awarded by the Chinese Mathematical Society (CMS), 2019.
Professional Service
- Co-organizer: session "Robust Dynamic Decision Making" of the 2025 INFORMS Annual Meeting.
- Reviewers: NeurIPS, ICLR, ICML.
Teaching
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Teaching assistants
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Imperial College Business School:
- Big Data, AI & Machine Learning (Executive MBA & Global Online MBA), Summer 2025
- Data Analytics and Visualisation for Business (Global Health Management), Summer 2025
- Logistics & Supply Chain Analytics (Business Analytics & Business Analytics Online), Fall 2024 & Spring 2025
- Maths and Statistics Foundations for Analytics (Business Analytics), Fall 2024
- Optimisation (PhD), Fall 2024
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Previously at Beijing Institute of Technology:
- Mathematical Analysis
- Advanced Algebra
- Probability Theory
- Mathematical Statistics
- Matrix Analysis
- Graph Theory
- Topology
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Imperial College Business School:
Talks
- 2025
- INFORMS Annual Meeting, Atlanta, October 2025 [scheduled]
- 2025 International Workshop on Applied Geometry and Related Topics, Keio University, July 2025
- 2024
- 2024 IMS-China International Conference on Statistics and Probability, Yinchuan, July 2024
- 2023
- The 15th International Annual Conference of the Chinese Scholars Association for Management Science and Engineering, The Chinese University of Hong Kong, Shenzhen, July 2023
Miscellanies
- I delivered the valedictorian speech at Beijing Institute of Technology in July 2023.
- For those who are interested, my Chinese name is 孙(Sun) 福鹏(Fupeng).