Lavender Yao Jiang

PhD student, Center for Data science, New York University

Joined

August 2022

Names

Lavender Yao Jiang (Preferred)

Emails

****@nyu.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

PhD student

Center for Data science, New York University (nyu.edu)

2021 – 2026

Intern

AIML, Apple (apple.com)

2024 – 2025

Undergrad student

Electrical and Computer Engineering, Carnegie Mellon University (cmu.edu)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Kyunghyun Cho

2021 – 2026

PhD Advisor

Eric Oermann

2021 – 2026

Coauthor

Xujin Chris Liu

2019 – 2026

Expertise

language model

2021 – 2026

electronic health record

2021 – 2026

health

2021 – 2026

named entity recognition

2021 – 2026

hospital

2021 – 2026

readmission

2021 – 2026

Publications

Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology
Mark Cheung, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Chris Liu, José M. F. Moura
- IEEE Signal Processing Magazine
- Readers: Everyone
Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG
Alireza Chaman Zar, Xujin Chris Liu, Lavender Yao Jiang, Kimon A. Vogt, José M. F. Moura, Pulkit Grover
- IEEE NER
- Readers: Everyone
MedG-KRP: Medical Graph Knowledge Representation Probing
Gabriel R. Rosenbaum, Lavender Yao Jiang, Ivaxi Sheth, Daniel Alexander Alber, Jaden Stryker, Anton Alyakin, Nicolas K. Goff, Young Joon Fred Kwon, John Esslemont Markert, Jan Moritz Niehues, Karl L. Sangwon, Eunice Yang, Eric Karl Oermann
- ML4H
- Readers: Everyone
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment
Zihao Yang, Zhang Chenkang, Muru Wu, Xujin Chris Liu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann
- ACL SRW
- Readers: Everyone
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section
Hongyi Zheng, Tracy Yixin Zhu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann
- ACL SRW
- Readers: Everyone
Medical large language models are vulnerable to data-poisoning attacks
Daniel Alexander Alber, Zihao Yang, Anton Alyakin, Eunice Yang, Sumedha Rai, Aly A. Valliani, Jeff Zhang, Gabriel R. Rosenbaum, Ashley K. Amend-Thomas, David B Kurland, Caroline M. Kremer, Alexander Eremiev, Bruck Negash, Daniel Wiggan, Michelle Murata, Karl L. Sangwon, Sean Neifert, Hammad Khan, Akshay Vinod Save, Adhith Palla et al. (13 additional authors not shown)
- Nature Medicine
- Readers: Everyone
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction
Grace Yang, Ming Cao, Lavender Yao Jiang, Xujin Chris Liu, Alexander Cheung, Hannah Weiss, David B Kurland, Kyunghyun Cho, Eric Karl Oermann
- ML4H
- Readers: Everyone
Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Chris Liu, Nima Nejatti, Mustafa Nasir-Moin, Duo Wang, Anas Abidin, Kevin Eaton, Howard Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David B Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Konziolka et al. (8 additional authors not shown)
- Nature
- Readers: Everyone

Co-Authors

View all 68 co-authors