Yang Feng (冯阳）

179 posts

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Yang Feng (冯阳）

Yang Feng (冯阳）

@yangfengstat

Professor of Biostatistics, New York University

New York, NY Beigetreten Ocak 2018
462 Folgt650 Follower
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Yang Feng (冯阳）
Yang Feng (冯阳）@yangfengstat·
🚀 Exciting news: My new website is live! 🎉 Check it out here: yangfengstat.github.io 🌟 P.S. I've been dealing with email glitches lately. If you're waiting for a reply from me and haven’t received it, please drop me a message. Apologies for the hiccup! 🙏
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Asian American Scholar Forum
Asian American Scholar Forum@AASForumOrg·
🎓 Call for student posters (high school, undergraduate, graduate) for the inaugural AASF AIX Summit! ⏰ Deadline: February 17, 2026 (AOE) 🔗 bit.ly/aix2026-posters
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Statistical Learning and Data Science
Statistical Learning and Data Science@SLADS_Journal·
🚀 Call for Papers: Special Issue on Frontiers in Statistical Learning: Data, Networks, and Knowledge Transfer Journal: Statistical Learning and Data Science (SLADS) 📅 Submission Deadline: March 31, 2026 👨‍🎓 Guest Editors: Yang Feng, Guangming Pan, Jiaming Xu, Emma Zhang
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Jingyi Jessica Li (李婧翌)
Jingyi Jessica Li (李婧翌)@jsb_ucla·
I’m honored to join Fred Hutch as Professor and Program Head of Biostatistics, and as the Donald and Janet K. Guthrie Endowed Chair in Statistics. Excited to be part of a deeply collaborative and scientifically vibrant community with a rich legacy of impact.
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Weijie Su
Weijie Su@weijie444·
Happy to share that this paper is accepted to AOS. Excited not just for the acceptance, but (more) for the recognition of watermarking for LLMs as a topic in statistics. Watermarking is (basically) a pure stats problem—so many ideas in stats will light the path forward! 🚀📊 #AI #Statistics
Weijie Su@weijie444

New Research: Watermarking large language models is a principled approach to combatting misinformation, but how do we evaluate their statistical efficiency and design even more powerful detection methods? 🤔 Our new paper addresses these challenges using a new framework. 1/n

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NYU Center for Data Science
NYU Center for Data Science@NYUDataScience·
CDS-affiliated Professor Yang Feng (@yangfengstat) introduced new algorithms that can control different types of errors independently. Published in JASA, the work provides tools for applications like loan default prediction where some mistakes matter more than others.
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Yang Feng (冯阳）@yangfengstat

Sharing a new work on Neyman-Pearson classification problem via cost-sensitive learning. @NYUGPHBiostats @nyupublichealth @NYUDataScience Neyman-Pearson Multi-class Classification via Cost-sensitive Learning: (JASA) tandfonline.com/doi/full/10.10…

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Annie Qu
Annie Qu@Qu8Annie·
I am speaking at SSC 2024 Annual Meeting / Congrès annuel 2024 de la SSC. Please check out my talk if you're attending the event! - via #Whova event app
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Danielle Ompad
Danielle Ompad@danieompad·
I just deleted 20,685 emails from 2011-2014. I am stressed, lol.
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