Haiyun He
(Pronunciation: /ˈhaɪyuːŋ ˈhɜː/, Pronouns: she/her/hers)
Postdoc Associate, Center for Applied Mathematics, Cornell University
(Taken in Cornell's Spring)
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 Oct. 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:
- Hypothesis testing
- Inference and estimation
- Machine learning and statistical learning theory
- 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
| Apr 9, 2024 | One paper (part of our recent work) accepted to ISIT 2024 in Athens, Greece. Prof. Ziv Goldfeld will be presenting our work in Athens. Say Hi to him! |
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| Feb 15, 2024 | Going to give a talk at ITA in San Diego, CA about our recent work on information-theoretic generalization bounds for deep neural networks. |
| Jan 23, 2024 | New semester begins! Teaching ORIE 4741/5741 Learning with Big Messy Data again at Gates Hall G01. |