Yang Feng (冯阳）

Professor of Biostatistics, New York University

[Yang Feng (冯阳） @yangfengstat]

🚀 Exciting news: My new website is live! 🎉 Check it out here: https://t.co/HEPvodK2xd 🌟

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! 🙏

[Asian American Scholar Forum @AASForumOrg]

🎓 Call for student posters (high school, undergraduate, graduate) for the inaugural AASF AIX Summit!
⏰ Deadline: February 17, 2026 (AOE)
🔗 https://t.co/Gl1qBSTLW5

[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

[Yang Feng (冯阳） @yangfengstat]

Join us for SLDS 2026, the flagship conference of the ASA Section on Statistical Learning and Data Science!
📅 Nov 1–3, 2026
📍 Marriott at the Brooklyn Bridge, New York City
🔗 https://t.co/rXuAiAloll📷
@AmstatNews @AmstatLearn @nyupublichealth @NYUDataScience @nyupublichealth

[Yang Feng (冯阳） @yangfengstat]

@jsb_ucla Big congrats, Jessica🎉🎈

[Yang Feng (冯阳） @yangfengstat]

New paper on causal inference: Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment https://t.co/lQcDfsxJwf
@NYUGPHBiostats @nyupublichealth @NYUDataScience @nyulangone

[Yang Feng (冯阳） @yangfengstat]

@weijie444 Great work, congrats!

[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.

[Yang Feng (冯阳） @yangfengstat]

@Qu8Annie Congrats! Big impact!

[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) https://t.co/PPjQYHHblh

[Yang Feng (冯阳） @yangfengstat]

@anarina_murillo @ENAR_ibs @BrownBiostats @Brown_SPH wonderful!

[Yang Feng (冯阳） @yangfengstat]

@Qu8Annie Super interesting topic!

[Yang Feng (冯阳） @yangfengstat]

@tz33cu @NYUGPHBiostats @nyupublichealth Thank you so much😊

[Yang Feng (冯阳） @yangfengstat]

Thrilled to receive the 2024 NYU GPH Teaching Excellence Award. Many thanks to my students for your support and nomination! @NYUGPHBiostats @nyupublichealth

[Yang Feng (冯阳） @yangfengstat]

🎉 Super excited to share that our paper “Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms” (https://t.co/VogAJJXcNA) was accepted to #ICML2024
@nyupublichealth @NYUGPHBiostats @NYUDataScience

[Yang Feng (冯阳） @yangfengstat]

@danieompad What an achievement!

[Yang Feng (冯阳） @yangfengstat]

Learning Spanish for 1234 days! Muchas gracias a @duolingo

[Yang Feng (冯阳） @yangfengstat]

@BBArtiste Yes! Would like one as well!

[Yang Feng (冯阳） @yangfengstat]

New manuscript "Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks" #MachineLearning #DataScience #adversarial #federatedlearning

https://t.co/VogAJJXcNA

[Yang Feng (冯阳） @yangfengstat]

Oct 26 at 9pm EST, I will host an information session over Zoom on the Ph.D. in Public Health with Biostatistics concentration at NYU. @NYUGPHBiostats @nyupublichealth @NYUDataScience
Register Below:
https://t.co/NV4AKNKUaM