AI for Healthcare Sihang Zeng

Publications

Papers across patient modeling, biomedical foundation models, and trustworthy evaluation

This selection emphasizes research that moves between methodological innovation and real healthcare relevance. For the latest updates, see Google Scholar.

14 scholar-synced entries on site Last updated March 31, 2026

Archive

Selected publication archive

Grouped by year for a clean reading flow rather than a legacy CV dump.

2026 1 item
ICLR 2026 2026

MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference

Kaiyan Zhang, Runze Liu, Xuekai Zhu, Kai Tian, Sihang Zeng, Guoli Jia, Yuchen Fan, Xingtai Lv, Yuxin Zuo, Che Jiang, Ziyang Liu, Jianyu Wang, Yuru Wang, Ruotong Zhao, Ermo Hua, Yibo Wang, Shijie Wang, Junqi Gao, Xinwei Long, Youbang Sun, Zhiyuan Ma, Ganqu Cui, Lei Bai, Ning Ding, Biqing Qi, Bowen Zhou

Introduces an open framework for reinforced training and inference in multi-agent LLM systems.

  • Multi-Agent LLMs
  • Reinforcement Learning
  • Systems
Paper Code
2025 5 items
NeurIPS 2025 GenAI4Health 2025

Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction

Sihang Zeng, Yujuan Fu, Sitong Zhou, Zixuan Yu, Lucas Jing Liu, Jun Wen, Matthew Thompson, Ruth Etzioni, Meliha Yetisgen

Frames longitudinal risk prediction as a coordinated agent workflow over patient trajectory evidence.

  • Longitudinal EHR
  • Agentic Systems
  • Cancer Screening
Paper
Machine Learning for Healthcare 2025 2025

TrajSurv: Learning Continuous Latent Trajectories from EHR for Trustworthy Survival Prediction

Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo

Learns smooth latent patient trajectories that improve survival prediction while preserving interpretability.

  • Survival Analysis
  • Trustworthy ML
  • Patient Representation
Paper Code
EMNLP 2025 2025

ReviewRL: Towards Automated Scientific Review with RL

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru Wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou

Explores reinforcement learning for more grounded, analytically useful automated scientific reviews.

  • Scientific AI
  • RL
  • Evaluation
Paper
Journal of General Internal Medicine 2025

The Role of Whole Health in Enhancing Tobacco Cessation Outcomes for Veterans: A Retrospective Cohort Study

Sihang Zeng, Scott S. Coggeshall, Ethan W. Rosser, Stephanie L. Taylor, Diana J. Burgess, Gang Luo, Steven B. Zeliadt

Connects Whole Health services to measurable tobacco cessation outcomes in veterans.

  • Clinical Outcomes
  • Veterans Health
  • Tobacco Cessation
Paper PubMed
AcademyHealth Annual Research Meeting 2025 2025

Population-Level Tobacco Cessation Outcomes Associated with Implementing Whole Health at the Veterans Health Administration

Sihang Zeng, Scott S. Coggeshall, Ethan W. Rosser, Stephanie L. Taylor, Diana J. Burgess, Gang Luo, Steven B. Zeliadt

Examines population-level tobacco cessation outcomes associated with Whole Health implementation in the Veterans Health Administration.

  • Health Services Research
  • Veterans Health
  • Conference Abstract
Scholar
2024 3 items
NeurIPS 2024 Datasets and Benchmarks 2024

UltraMedical: Building Specialized Generalists in Biomedicine

Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jin-Fang Hu, Zhiyuan Liu, Bowen Zhou

Builds broadly useful biomedical models without sacrificing domain specialization.

Spotlight
  • Biomedical LLMs
  • Generalist Models
  • Benchmarking
Paper Code
COLM 2024 2024

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jin-Fang Hu, Bowen Zhou

Evaluates how well large language models can support biomedical hypothesis generation.

  • Hypothesis Generation
  • LLMs
  • Biomedical Reasoning
Paper
Journal of the American Medical Informatics Association 2024

CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs

Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu

Uses explanation-augmented contrastive learning to improve biomedical term representations and large-scale knowledge graph construction.

  • Biomedical NLP
  • Knowledge Graphs
  • Representation Learning
Paper
2023 2 items
NeurIPS 2023 Instruction Workshop 2023

Large Language Models are Zero Shot Hypothesis Proposers

Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou

Investigates whether large language models can propose scientifically meaningful biomedical hypotheses without task-specific training.

  • Hypothesis Generation
  • LLMs
  • Scientific Discovery
Paper
arXiv preprint 2023

Hierarchical Pretraining for Biomedical Term Embeddings

Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian

Introduces hierarchy-aware pretraining for biomedical term embeddings to better encode graded semantic relatedness.

  • Biomedical NLP
  • Embeddings
  • Pretraining
Paper
2022 2 items
arXiv preprint 2022

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum

Presents a large-scale biomedical knowledge graph generated algorithmically rather than through traditional manual curation.

  • Knowledge Graphs
  • Biomedical AI
  • Ontology
Paper
BioNLP 2022 2022

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations

Sihang Zeng, Zheng Yuan, Sheng Yu

Introduces fine-grained biomedical term representations for improved clustering and knowledge organization.

  • Representation Learning
  • Biomedical NLP
  • Terminology
Paper Code
2021 1 item
Electronics 2021

A Feasibility Study of 2-D Microwave Thorax Imaging Based on the Supervised Descent Method

Haolin Zhang, Maokun Li, Fan Yang, Shenheng Xu, Yan Yin, Hongyu Zhou, Yubo Yang, Sihang Zeng, Jianchong Shao

Studies learning-based 2-D microwave thorax imaging with the supervised descent method for fast structural reconstruction.

  • Biomedical Imaging
  • Microwave Imaging
  • Medical Devices
Paper