Jiancong Xiao
Welcome to my homepage! I am currently a postdoctoral researcher at the University of Pennsylvania, working with Prof. Qi Long and Prof. Weijie J. Su.
Privously, I obtained my Ph.D. from The Chinese University of Hong Kong, Shenzhen, where I was advised by Prof. Zhi-Quan (Tom) Luo and worked closely with Prof. Ruoyu Sun. Prior to that, I received my M.S. degree from The Chinese University of Hong Kong and my B.S. degree from Sun Yat-sen University.
Research Interest: I am broadly interested in statistical issues and learning theory for trustworthy machine learning models, with a recent focus on the theory of large language models.
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Adversarial Robustness: Explaining adversarial examples, robust overfitting and adversarially robust generalization from a learning theory perspective.
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Large Language Models: Establishing theories for fine-tuning, algorithmic bias, calibration, hallucinations, etc.
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Classical Learning theory: Optimization (non-convex, non-smooth problem, convergence and stability), Generalization (Rademacher complexity, VC-dim, Pac-Bayes, NTK).
news
| Oct 07, 2024 | Attending COLM2024 at UPenn. |
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| Sep 20, 2024 | I will attend SIAM Conference on Mathematics of Data Science (MDS24) in Atlanta, Georgia. |
| Aug 03, 2024 | I will attend JSM 2024 in Portland, Oregon. Welcome to my talk about algorithmic bias of LLMs in the session titled Harnessing Large Language Models: Opportunities and Challenges for Statistics. |
| Jun 30, 2024 | I will attend COLT 2024 in Edmonton, Canada. I will chair a session titled “Adversarial/Robust Learning” and also present our recent work on adversarially robust generalization. |
| May 08, 2024 | Two papers about adversarial training theory are accepted to COLT 2024 and ICML 2024, respectively! |