Anru Zhang

Eugene Anson Stead, Jr. M.D. Associate Professor, Duke University

Joined

February 2019

Names

Anru Zhang (Preferred)

Emails

****@gmail.com (Confirmed)

****@duke.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Eugene Anson Stead, Jr. M.D. Associate Professor

Duke University (duke.edu)

2021 – Present

Assistant Professor

University of Wisconsin, Madison (wisc.edu)

2015 – 2021

Advisors, Relations & Conflicts

PhD Advisor

T. Tony Cai

2010 – 2015

Expertise

tensor

Present

high-dimensional statistics

Present

machine learning for healthcare

Present

electronic health records

Present

Publications

The Geometry of Reasoning: Flowing Logics in Representation Space
Yufa Zhou, Yixiao Wang, Xunjian Yin, Shuyan Zhou, Anru Zhang
- ICLR 2026 Poster
- Readers: Everyone
Planner Aware Path Learning in Diffusion Language Models Training
Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Michael M. Bronstein, Anru Zhang, Alexander Tong, Joey Bose
- ICLR 2026 Oral
- Readers: Everyone
Why Do Transformers Fail to Forecast Time Series In-Context?
Yufa Zhou, Yixiao Wang, Surbhi Goel, Anru Zhang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models
Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru Zhang
- JAMIA(Journal of the American Medical Informatics Association)
- Readers: Everyone
Fast and Reliable Generation of EHR Time Series via Diffusion Models
Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru Zhang
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang
- Published: 29 Nov 2022, Last Modified: 05 May 2023
- SBM 2022 Poster
- Readers: Everyone
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Phase transition for detecting a small community in a large network
Jiashun Jin, Tracy Ke, Paxton Turner, Anru Zhang
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Estimation of Markov Chain via Rank-constrained Likelihood
Xudong Li, Mengdi Wang, Anru Zhang
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone

Co-Authors

View all 26 co-authors