Haiyun He
(Pronunciation: /ˈhaɪyuːŋ ˈhɜː/, Pronouns: she/her/hers)
Postdoc Associate, Center for Applied Mathematics, Cornell University
(Taken at Cornell Slope)
Hi! I am currently a postdoc at Cornell University, working with Prof. Ziv Goldfeld from ECE and Prof. Christina Lee Yu from ORIE. I am honored to be funded by the Center for Applied Mathematics postdoctoral fellowship. Before joining Cornell, I obtained my PhD degree in Electrical and Computer Engineering from National University of Singapore in Sep. 2022, advised by Prof. Vincent Y. F. Tan.
My recent research interests lie in the intersection of information theory and machine learning, including but not limited to:
- Machine learning and statistical learning theory
- Hypothesis testing
- Inference and estimation
- Wireless communications
If you are interested in collaborating with me, please do not hesitate to drop me an email (at the bottom) or drop by 657 Rhodes Hall, Ithaca, NY !
News
| 03/06/2025 |
Attending 8th C^3 Workshop at University of Florida between Mar. 06-07, 2025. My talk “Distributional Information Embedding:
A Framework for LLM Watermarking” is in the afternoon on Mar. 06. Thank Sean and Yuheng for their invitation! I am glad to visit the beautiful town Gainesville, see a big family of allegators  , and meet new friends!
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| 02/10/2025 | Attending 2025 ITA Workshop at UCSD between Feb. 09-11, 2025. My talk is on Monday afternoon, Feb. 10. Glad to meet old and new friends! |
| 09/09/2024 | Going to attend Workshop II: Theory and Practice of Deep Learning at IPAM, UCLA between Oct. 14-18. |
Recent publications
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JournalInformation-Theoretic Generalization Bounds for Deep Neural NetworksTo appear in IEEE Transactions on Information Theory, 2025