Yixing Jiang

According to our database, Yixing Jiang authored at least 10 papers between 2014 and 2026.

Collaborative distances:

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

2026

Clinical Note Bloat Reduction for Efficient LLM Use.

Jordan Cahoon, Chloe Stanwyck, Asad Aali, Rachel Madding, Emma Sun, Yixing Jiang, Renumathy Dhanasekaran, Emily Alsentzer

CoRR, April, 2026

2025

SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction.

April S. Liang, Fatemeh Amrollahi, Yixing Jiang, Conor K. Corbin, Grace Y. E. Kim, David Mui, Trevor Crowell, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Jack McKeown, Margaret Smith, Steven Lin, Arnold Milstein, Kevin Schulman, Jason Hom, Michael A. Pfeffer, Tho D. Pham, David Svec, Weihan Chu, Lisa Shieh, Christopher D. Sharp, Stephen P. Ma, Jonathan H. Chen

CoRR, December, 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

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text.

Jiageng Wu, Bowen Gu, Ren Zhou, Kevin Xie, Douglas Snyder, Yixing Jiang, Valentina Carducci, Richard Wyss, Rishi J. Desai, Emily Alsentzer, Leo Anthony Celi, Adam Rodman, Sebastian Schneeweiss, Jonathan H. Chen, Santiago Romero-Brufau, Kueiyu Joshua Lin, Jie Yang

CoRR, April, 2025

MedAgentBench: Dataset for Benchmarking LLMs as Agents in Medical Applications.

Yixing Jiang, Kameron C. Black, Gloria Geng, Danny Park, Andrew Y. Ng, Jonathan H. Chen

CoRR, January, 2025

Cross-Corpus Speech Emotion Recognition Based on Attention-Driven Feature Refinement and Spatial Reconstruction.

Huawei Tao, Yixing Jiang, Qianqian Li, Li Zhao, Zhizhe Yang

Inf., 2025

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models.

Sonnet Xu, Joseph D. Janizek, Yixing Jiang, Roxana Daneshjou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Many-Shot In-Context Learning in Multimodal Foundation Models.

Yixing Jiang, Jeremy Irvin, Ji Hun Wang, Muhammad Ahmed Chaudhry, Jonathan H. Chen, Andrew Y. Ng

CoRR, 2024

2020

TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction.

Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2014

An Integrated Development Environment for Faster Feature Engineering.

Michael R. Anderson, Michael J. Cafarella, Yixing Jiang, Guan Wang, Bochun Zhang

Proc. VLDB Endow., 2014