Simon A. Lee

According to our database, Simon A. Lee authored at least 16 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models.

Zilin Jing, Vincent Jeanselme, Yuta Kobayashi, Simon A. Lee, Chao Pang, Aparajita Kashyap, Yanwei Li, Xinzhuo Jiang, Shalmali Joshi

CoRR, February, 2026

Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models.

Megha Thukral, Cyrus Tanade, Simon A. Lee, Juhyeon Lee, Hao Zhou, Keum San Chun, Migyeong Gwak, Viswam Nathan, Md Mahbubur Rahman, Li Zhu, Mehrab Bin Morshed, Subramaniam Venkatraman, Sharanya Arcot Desai

CoRR, January, 2026

2025

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series.

Simon A. Lee, Cyrus Tanade, Hao Zhou, Juhyeon Lee, Megha Thukral, Minji Han, Rachel Choi, Md Sazzad Hissain Khan, Baiying Lu, Migyeong Gwak, Mehrab Bin Morshed, Viswam Nathan, Md Mahbubur Rahman, Li Zhu, Subramaniam Venkatraman, Sharanya Arcot Desai

CoRR, October, 2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

Clinical ModernBERT: An efficient and long context encoder for biomedical text.

Simon A. Lee, Anthony Wu, Jeffrey N. Chiang

CoRR, April, 2025

Clinical decision support using pseudo-notes from multiple streams of EHR data.

Simon A. Lee, Sujay Jain, Alex Chen, Kyoka Ono, Arabdha Biswas, Ákos Rudas, Jennifer Fang, Jeffrey N. Chiang

npj Digit. Medicine, 2025

MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem.

Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models.

Ulzee An, Moonseong Jeong, Simon A. Lee, Aditya Gorla, Yuzhe Yang, Sriram Sankararaman

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs.

Yihan Lin, Zhirong Yu, Simon A. Lee

Proceedings of the Conference on Health, 2025

Using Foundation Models to Prescribe Patients Proper Antibiotics.

Simon A. Lee, Helio Halperin, Yanai Halperin, Trevor J. Brokowski, Jeffrey N. Chiang

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

DK-BEHRT: Teaching Language Models International Classification of Disease (ICD) Codes using Known Disease Descriptions.

Ulzee An, Simon A. Lee, Moonseong Jeong, Aditya Gorla, Jeffrey N. Chiang, Sriram Sankararaman

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

FEET: A Framework for Evaluating Embedding Techniques.

Simon A. Lee, John Lee, Jeffrey N. Chiang

CoRR, 2024

Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning.

Kyoka Ono, Simon A. Lee

CoRR, 2024

Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation.

Simon A. Lee, Trevor J. Brokowski, Jeffrey N. Chiang

CoRR, 2024

Do Large Language Models understand Medical Codes?

Simon A. Lee, Timothy Lindsey

CoRR, 2024

Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME).

Simon A. Lee, Sujay Jain, Alex Chen, Arabdha Biswas, Jennifer Fang, Ákos Rudas, Jeffrey N. Chiang

CoRR, 2024