[About Me]
I am currently working at Peking University with Prof. Liantao Ma. My research primarily focuses on AI for Healthcare, with emphasis on the following areas: (1) Medical Large Language Models (LLMs): Developing LLM agents and multimodal LLMs for medical applications; (2) Healthcare Modeling: Clinical predictive modeling using electronic health record (EHR) data; and (3) Healthcare Benchmarks, Toolkits & Platforms: Creating benchmarks, toolkits, and platforms for the healthcare community.
Education
M.Eng. in Artificial Intelligence, Beihang University, Beijing, China
2022.09 - 2025.01
Exchange in Computer Science and Engineering, Politecnico di Milano, Milan, Italy
2024.02 - 2024.07
B.Eng. in Software Engineering, Beihang University, Beijing, China
2018.09 - 2022.06
Shanghai High School, Shanghai, China
2015.09 - 2018.06
Professional Experience
School of Computer Science, Peking University, Beijing, China
(* indicates the equal contributions, † indicates the corresponding author.)
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical PredictionWeibin Liao, Yinghao Zhu, Zhongji Zhang, Yuhang Wang, Zixiang Wang, Xu Chu, Yasha Wang†, Liantao Ma†ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI MentorXin Tan, Xiao Long, Yinghao Zhu, Lin Shi, Xiaoli Lian, Li Zhang†ACM International Conference on the Foundations of Software Engineering (FSE), 2025
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent CollaborationZixiang Wang*, Yinghao Zhu*, Huiya Zhao*, Xiaochen Zheng, Tianlong Wang, Wen Tang, Yasha Wang†, Chengwei Pan, Ewen M. Harrison, Junyi Gao†, Liantao Ma†ACM International World Wide Web Conference (WWW), 2025
Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language ModelsXijie Huang*, Xinyuan Wang*, Hantao Zhang*, Yinghao Zhu*, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan†Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025
EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented GenerationYinghao Zhu*, Changyu Ren*, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan†ACM International Conference on Information and Knowledge Management (CIKM), 2024
PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient RepresentationsYinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma†, Chengwei Pan†ACM International Conference on Information and Knowledge Management (CIKM), 2024
Protocol to process follow-up electronic medical records of peritoneal dialysis patients to train AI modelsTianlong Wang*, Yinghao Zhu*, Zixiang Wang, Wen Tang†, Xinju Zhao, Tao Wang, Yasha Wang, Junyi Gao†, Liantao Ma†, Ling Wang†STAR Protocols, 2024
EHRFlow: A Large Language Model-Driven Iterative Multi-Agent Electronic Health Record Data Analysis WorkflowHao Wu*, Yinghao Zhu*, Zixiang Wang, Xiaochen Zheng, Ling Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao†, Liantao Ma†Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare (KDD 2024 AIDSH Workshop), Oral, 2024
DeepEST: A Python Library for Spatio-Temporal Epidemiology PredictionYuhang Wang, Yinghao Zhu, Lifang Liang, Yasha Wang, Ewen M. Harrison, Liantao Ma, Junyi Gao†Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare (KDD 2024 AIDSH Workshop), 2024
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks.Yinghao Zhu*, Junyi Gao*, Zixiang Wang*, Weibin Liao*, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan†, Ewen M. Harrison†, Liantao Ma†Preprint, 2024
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record DataYinghao Zhu*, Zixiang Wang*, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma†, Chengwei Pan†Preprint, 2024
How far are AI-powered programming assistants from meeting developers' needs?Xin Tan, Xiao Long, Xianjun Ni, Yinghao Zhu, Jing Jiang, Li Zhang†Preprint, 2024
M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting MethodJunyi Gao*, Yinghao Zhu*, Wenqing Wang*, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma†Beijing Health Data Science Summit 2023, Health Data Science (HDSS), Abstract, 2023
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 PrognosisJunyi Gao*, Yinghao Zhu*, Wenqing Wang*, Yasha Wang, Wen Tang, Liantao Ma†American Medical Informatics Association (AMIA) Informatics Summit, Podium Abstract Track, Oral, 2023
Exploration of the feasibility of using examination time order to split small sample size data for radiomicsMingshu Yang, Zhongwei Qiao, Yinghao Zhu, Chaogang Lu, Yaqin XiaThe Asian and Oceanic Society for Paediatric Radiology (AOSPR), Oral, 2023
Assessing the value of the radiomics model based on MRI of the wrist joint in predicting the use of biologics in JIAMingshu Yang, Zhongwei Qiao, Yinghao Zhu, Chaogang Lu, Yaqin XiaThe Asian and Oceanic Society for Paediatric Radiology (AOSPR), Oral, 2023
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR DatasetsZhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang†, and Liantao Ma†Preprint, 2023
Theory and Practice of Artificial IntelligenceYunxiang Lyu, Luting Huang, Zezhong Liang, Wenzhi Yin, Xueting Han, Yinghao Zhu, Miaoran ChenTsinghua University Press, 2022
Envisioning the Future Through AI: Perspectives on Global Landscapes and LifestylesYinghao Zhu, Ziyi Wang, Caixin Kang, Hao Li, Jingkun An, Enshen Zhou, Haoran Feng, Bo Hou, Long He, Xinlei Bao, Zihao Li, Chuang Wang, Xinyuan WangComputer Vision and Pattern Recognition (CVPR) Art Gallery, 2023
Alibaba Tianchi UNiLAB Algorithm CompetitionYinghao Zhu, Zhihao Yu, Xianfeng JiaoEncouragement Award, Top 11 out of 230 teams at Track 1 and Top 10 out of 324 teams at Track 2, 2023
"Challenge Cup" Competition of Science Achievement in ChinaSpecial Prize (Top 1), China Association for Science and Technology, etc, 2023
High Risk Breast Cancer Prediction Contest 1Yinghao Zhu, Junyi Gao, Xinze Li, Yifan He, Wenqing Wang, Liantao MaTop 3 out of all teams, Nightingale Open Science, Association for Health Learning & Inference (AHLI), and Providence St. Joseph Health, 2022
Outstanding Graduate of Beihang UniversityBeihang University, 2022
"Feng Ru Cup" Competition of Academic and Technological WorksFirst Prize (Top 1% of all candidates of all majors), Beihang University, 2021, 2022
Talks
Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent CollaborationSeminar on Advancing Trustworthy and Accessible Healthcare Informatics at Peking University & Cell Press, 2024.10.31
What Makes a Next-Generation AI-Powered Healthcare System?University of Zurich & University Hospital Zurich, 2024.07.08
Deep learning interpretable analysis of multivariate time-series electronic medical record dataHIT Webinar, 2023.01.06