CV
Experience, Interest, and Future
General Information
| Full Name | Xiaohu Wu |
| Languages | English, Chinese |
| xiaohu.wu@ruc.edu.cn |
Position
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2026 - Present
Academic Interests
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Federated learning
- Free-riding, competition, and collaboration formation
- Data heterogeneity, and personalized federated learning
- Foundation models, fine-tuning, prompt-tuning
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Machine learning
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Algorithmic game theory, mathematical optimization
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Parallel/cloud/edge computing
Honors and Awards
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2024 Outstanding Student Paper Award
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2024 Honored Speaker in Wireless 6G Panel Speech Award
- Awarded through the 16th IEEE International Conference on Cyber-enabled Distributed Computing and Knowledge Discovery and IEEE Technical Community on Computer Communications with the theme of Revolutionizing Computing and Communication in the AI Era, October 24–25, 2024, IEEE Computer Society.
Education
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2012 - 2016 PhD in Computer Science
Telecom Paris, a school of Institut Polytechnique de Paris (IP-Paris), France - IP-Paris is ranked 41st by QS 2026.
- Telecom Paris was founded in 1878. I studied at Eurecom, a research center established in 1991 by Telecom Paris and EPFL, Switzerland.
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2015 - 2015 Visiting PhD Student
University of California at Berkeley, United States - The visit was supported by the France-Berkeley Fund for a project titled “Multi-armed bandit games and applications”.
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2009 - 2012 MSc in Computer Science
University of Science and Technology of China, Hefei, China - Affiliated to National High Performance Computing Center at Hefei
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2005 - 2009 BSc in Mathematics and Applied Mathematics
Northeast Forest University, Harbin, China - A national key university under the Ministry of Education of China
Previous Experience
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2026 - 2026 Research Professor
Innovation Center of Yangtze River Delta, Zhejiang University, China -
2022 - 2026 Associate Professor
Beijing University Of Posts and Telecommunications, China -
2019 - 2022 Research Fellow
Joint NTU-WeBank Research Centre on Fintech, Nanyang Technological University, Singapore - I worked on the project titled "Towards an Ecosystem for Federated Learning Incentive".
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2017 - 2019 Expert Researcher
Bruno Kessler Foundation (FBK), Trento, Italy -
2016 - 2017 Postdoctoral Researcher
Aalto University, Espoo, Finland.
Professional Services
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Area Chair
- ICLR 2027
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Co-Chair
- International Workshop on Federated Learning with Generative AI, in conjunction with IJCAI-2025 (FedGenAI-IJCAI’25)
Academic Services
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Graduate Admission Committee Member
- School of Smart Governance, Renmin University of China — 2026
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Doctoral Student Thesis Advisory Committee (TAC) Member
- Nanyang Technical University, Singapore
Courses
- Data Science
- Natural Language Processing
Other Interests
- Hobbies: reading