Research

Research areas, projects, and workshops from the Feng Lab, transfer learning, Neyman-Pearson classification, variable screening, network analysis, and applications.

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Transfer Learning and Multi-task Learning

Statistical learning theory and methods for transfer and multi-task learning, including high-dimensional, unsupervised, federated, and privacy-preserving settings.
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Neyman-Pearson Classification

Statistical learning frameworks for asymmetric error control, prioritizing type I error control over overall accuracy.
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Social Network Analysis

Statistical methods for community detection, multi-layer networks, network covariates, and longitudinal network modeling
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High-dimensional Variable Screening

Statistical methodologies for identifying important features in ultra-high dimensional data (\(p \gg n\)).

Conference & Workshop Organizing

Upcoming

2026 ASA SLDS Conference: Inference and Intelligence

Co-chair, Local Organizing Committee

November 1–3, 2026 · New York Marriott at the Brooklyn Bridge, New York, NY

STAI-X Conference: Statistics and Trustworthy AI for Cross-Domain Acceleration

Area Chair

August 2026 · Boston, MA

Past

IMS Workshop on Modern Challenges in Data Decentralization: Federated Learning, Differential Privacy and Communication Constraints

Co-chair

July 2026 · National University of Singapore, Singapore

MyJP-SIM² Symposium (Meeting You in JAPAN — Symposium on Innovative Mathematical Minds)

Co-chair

March 2026 · Hosei University, Tokyo, Japan

2025 ASA SLDS Student Paper Competition

Co-chair

2024–2025

Workshop on Statistical Network Analysis and Beyond (SNAB 2025)

Lead Organizer

June 2–4, 2025 · Hotel New Otani, Tokyo, Japan

Co-organized with Jiashun Jin · Qingfeng Liu · Maggie Niu · Ji Zhu

Workshop on Statistical Network Analysis and Beyond (SNAB 2022)

Lead Organizer and Session Chair

August 3–5, 2022 · NYU School of Global Public Health, New York, NY

International Workshop on Machine Learning and Data Science

Lead Organizer

June 2019 · Columbia University, New York, NY

International Workshop on Statistical Challenges in High-Dimensional and Complex Data

Lead Organizer

September 2018 · Columbia University, New York, NY

Workshop on Statistical Network and High-Dimensional Data Analysis: Theory and Applications

Lead Organizer

March 2016 · Shanghai, China