Yulian Wu is a Ph.D. candidate under the supervision of Professor Francesco Orabona at King Abdullah University of Science and Technology (KAUST).
Biography
Yulian Wu is a Ph.D. candidate in Computer Science at KAUST, advised by Francesco Orabona. She has published in top venues including NeurIPS, ICML, COLT, Science Advances, and AISTATS, and was recognized as a NeurIPS Top Reviewer. She received the Best Presentation Award at the Free Rein Global Youth AI Forum. She is also actively involved in the research community, serving as an Organizing Committee Member and Session Chair for the KAUST Rising Stars in AI Symposium 2025 and 2026.
Research Interests
Yulian's research investigates trustworthy machine learning and interactive decision-making, with a focus on differential privacy, robustness, and heavy-tailed feedback in bandits, reinforcement learning, and RLHF.
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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Organizing Committee Member and Session Chair, KAUST Rising Stars in AI Symposium 2025, 2025
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Organizing Committee Member and Session Chair, KAUST Rising Stars in AI Symposium 2026, 2026
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Program Committee member and Conference Reviewer at SIGKDD 2023, SDM 2024, AISTATS 2024, SIGKDD 2024, NeurIPS 2024, SIGKDD 2025, ICLR 2025, AISTATS 2025, ICML 2025, NeurIPS 2025, 2023 - 2026
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Journal Reviewer, IEEE Transactions on Signal Processing, 2025 - present
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Awards and Distinctions
- NeurIPS Top Reviewer, Neural Information Processing Systems (NeurIPS), 2025
- NeurIPS Travel Award, Neural Information Processing Systems (NeurIPS), 2023
- NIPS Grant, KAUST AI Initiative, 2022
- ICML Travel Award, International Conference on Machine Learning (ICML), 2022
- Outstanding Master’s Thesis, East China Normal University (ECNU), 2021
Education
- Master of Science (M.S.)
- Statistics, East China Normal University (ECNU), China, 2021
- Bachelor of Science (B.S.)
- Mathematics and Applied Mathematics, East China Normal University (ECNU), China, 2018
Related People
Academic Advisors
Francesco Orabona
- Associate Professor, Computer Science