Yinghao Zhu (朱英豪)

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

  2023.09 - Present
  External Research Advisor, working with Prof. Liantao Ma
• Stanford Casual Science Center, Stanford University, Remote

  2024.03 - Present
  Research Assistant, advised by Prof. Yiqing Xu
• KrauthammerLab, University of Zurich & University Hospital Zurich, Zurich, Switzerland

  2024.04 - 2024.12
  Research Assistant, advised by Dr. Ahmed Allam and Prof. Michael Krauthammer
• Department of Radiology, Children's Hospital of Fudan University, Shanghai, China

  2022.10 - 2023.12
  Research Assistant, advised by Prof. Zhongwei Qiao
• National Engineering Research Center for Software Engineering, Peking University, Beijing, China

  2021.05 - 2023.08
  Research Assistant, advised by Prof. Yasha Wang

Publications

(^* indicates the equal contributions, ^† indicates the corresponding author.)

1. Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction Weibin 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

   Paper Code
2. Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor Xin Tan, Xiao Long, Yinghao Zhu, Lin Shi, Xiaoli Lian, Li Zhang^† ACM International Conference on the Foundations of Software Engineering (FSE), 2025

   Code
3. ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Zixiang 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

   Paper Code Website
4. Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories Tianlong Wang^*, Xianfeng Jiao^*, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma^† ACM International World Wide Web Conference (WWW), 2025

   Paper
5. Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models Xijie 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

   Paper Code
6. AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation Jingkun An^*, Yinghao Zhu^*, Zongjian Li^*, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan^† Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

   Paper Code Dataset
7. Protocol for Processing Multivariate Time-series Electronic Health Records of COVID-19 Patients Zixiang Wang^*, Yinghao Zhu^*, Dehao Sui, Tianlong Wang, Yuntao Zhang, Yasha Wang, Chengwei Pan, Junyi Gao^†, Liantao Ma^†, Ling Wang^†, Xiaoyun Zhang^† STAR Protocols, 2025

   Code
8. EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation Yinghao 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

   Paper Code Video
9. PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma^†, Chengwei Pan^† ACM International Conference on Information and Knowledge Management (CIKM), 2024

   Paper Code Video
10. A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care Junyi Gao^*, Yinghao Zhu^*, Wenqing Wang^*, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma^† Cell Patterns, 2024

    Paper Code Website
11. Protocol to process follow-up electronic medical records of peritoneal dialysis patients to train AI models Tianlong Wang^*, Yinghao Zhu^*, Zixiang Wang, Wen Tang^†, Xinju Zhao, Tao Wang, Yasha Wang, Junyi Gao^†, Liantao Ma^†, Ling Wang^† STAR Protocols, 2024

    Paper
12. Prediction of feeding difficulties in neonates with hypoxic-ischemic encephalopathy using magnetic resonance imaging-derived radiomics features Yaqin Xia, Mingshu Yang, Tianyang Qian, Jiayu Zhou, Mei Bai, Siqi Luo, Chaogang Lu, Yinghao Zhu, Laishuan Wang, Zhongwei Qiao^† Pediatric Radiology, 2024

    Paper
13. EHRFlow: A Large Language Model-Driven Iterative Multi-Agent Electronic Health Record Data Analysis Workflow Hao 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

    Paper Code
14. RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval Zixiang Wang^*, Yinghao Zhu^*, Junyi Gao, Xiaochen Zheng, Yuhui Zeng, Yifan He, Bowen Jiang, Wen Tang, Ewen M. Harrison, Chengwei Pan, Liantao Ma^†, Ling Wang^† Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare (KDD 2024 AIDSH Workshop), 2024

    Paper Code
15. DeepEST: A Python Library for Spatio-Temporal Epidemiology Prediction Yuhang 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

    Paper Code
16. PIGWN: Physics-Informed Graph WaveNet for Airport Flight Traffic Flow Prediction Zhichao Yang^*, Yinghao Zhu^*, Ziyue Niu, Yanru Huang, Chengwei Pan^†, Xiwang Dong International Conference on Industrial Artificial Intelligence (IAI), 2024

    Paper Code
17. 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

    Paper Code
18. SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning Shiyun Xie, Zhiru Wang, Xu Wang, Yinghao Zhu, Chengwei Pan^†, Xiwang Dong Preprint, 2024

    Paper Code
19. Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data Yinghao Zhu^*, Zixiang Wang^*, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma^†, Chengwei Pan^† Preprint, 2024

    Paper Code
20. LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang^†, Liantao Ma^† Preprint, 2024

    Paper Code
21. Exploring the Relationship Between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients Yueying Wu^*, Junyi Gao^*, Wen Tang^†, Chunyan Su, Yinghao Zhu, Tianlong Wang, Weibin Liao, Xu Chu, Ewen M. Harrison, Yasha Wang^†, Liantao Ma^† Preprint, 2024

    Paper
22. 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

    Paper
23. Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients Liantao Ma^*, Chaohe Zhang^*, Junyi Gao^*†, Xianfeng Jiao, Zhihao Yu, Yinghao Zhu, Tianlong Wang, Xinyu Ma, Yasha Wang^†, Wen Tang^†, Xinju Zhao, Wenjie Ruan, Tao Wang Cell Patterns, Cover, 2023

    Paper Code
24. M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method Junyi 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

    Paper Code
25. A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis Junyi Gao^*, Yinghao Zhu^*, Wenqing Wang^*, Yasha Wang, Wen Tang, Liantao Ma^† American Medical Informatics Association (AMIA) Informatics Summit, Podium Abstract Track, Oral, 2023

    Paper Code
26. Exploration of the feasibility of using examination time order to split small sample size data for radiomics Mingshu Yang, Zhongwei Qiao, Yinghao Zhu, Chaogang Lu, Yaqin Xia The Asian and Oceanic Society for Paediatric Radiology (AOSPR), Oral, 2023
27. Assessing the value of the radiomics model based on MRI of the wrist joint in predicting the use of biologics in JIA Mingshu Yang, Zhongwei Qiao, Yinghao Zhu, Chaogang Lu, Yaqin Xia The Asian and Oceanic Society for Paediatric Radiology (AOSPR), Oral, 2023
28. Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang^†, and Liantao Ma^† Preprint, 2023

    Paper
29. M3Care: Learning with Missing Modalities in Multimodal Healthcare Data Chaohe Zhang^*, Xu Chu^*, Liantao Ma, Yinghao Zhu, Yasha Wang^†, Jiangtao Wang, Junfeng Zhao ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022

    Paper Code
30. Python Data Analysis Yunxiang Lyu, Zhipeng Wang, Lihua Xu, Zhaoyi Wang, Yinghao Zhu, Kun Yan, Shanzhao Qiu, Jiawei Tang, Kaiwen Feng, Wei Chen, Tianyi Chen, Zhendong Hong, Yunfei Yang, Jinman Xie, Zeliang Yao, Yangang Han, Yihang Wu Tsinghua University Press, 2023

    Book
31. Big Data Visualization Techniques Yunxiang Lyu, Zeliang Yao, Jili Xie, Yinghao Zhu, Shanzhao Qiu, Yangang Han, Zehuan Huang Tsinghua University Press, 2023

    Book
32. Theory and Practice of Artificial Intelligence Yunxiang Lyu, Luting Huang, Zezhong Liang, Wenzhi Yin, Xueting Han, Yinghao Zhu, Miaoran Chen Tsinghua University Press, 2022

    Book

Projects

1. PyEHR: A Predictive Modeling Toolkit for Electronic Health Records Yinghao Zhu, Wenqing Wang, Junyi Gao, Liantao Ma GitHub

   Code
2. Envisioning the Future Through AI: Perspectives on Global Landscapes and Lifestyles Yinghao Zhu, Ziyi Wang, Caixin Kang, Hao Li, Jingkun An, Enshen Zhou, Haoran Feng, Bo Hou, Long He, Xinlei Bao, Zihao Li, Chuang Wang, Xinyuan Wang Computer Vision and Pattern Recognition (CVPR) Art Gallery, 2023

   Video

Awards

1. Outstanding Graduate of Beijing Beijing Municipal Education Commission, 2025
2. Detecting Active Tuberculosis Bacilli Yinghao Zhu, Junyi Gao, Liantao Ma Top 4 out of all teams, Nightingale Open Science and Wellgen Medical, 2024
3. Bias Detection Tools for Clinical Decision Making Challenge Yinghao Zhu, Jingkun An, Enshen Zhou, Hao Li, Haoran Feng Third Place Prize, NIH/NCATS, 2023

   Code Project Video
4. Alibaba Tianchi UNiLAB Algorithm Competition Yinghao Zhu, Zhihao Yu, Xianfeng Jiao Encouragement Award, Top 11 out of 230 teams at Track 1 and Top 10 out of 324 teams at Track 2, 2023
5. "Challenge Cup" Competition of Science Achievement in China Special Prize (Top 1), China Association for Science and Technology, etc, 2023
6. High Risk Breast Cancer Prediction Contest 1 Yinghao Zhu, Junyi Gao, Xinze Li, Yifan He, Wenqing Wang, Liantao Ma Top 3 out of all teams, Nightingale Open Science, Association for Health Learning & Inference (AHLI), and Providence St. Joseph Health, 2022

   Code
7. Outstanding Graduate of Beihang University Beihang University, 2022
8. "Feng Ru Cup" Competition of Academic and Technological Works First Prize (Top 1% of all candidates of all majors), Beihang University, 2021, 2022

Talks

1. Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Seminar on Advancing Trustworthy and Accessible Healthcare Informatics at Peking University & Cell Press, 2024.10.31
2. What Makes a Next-Generation AI-Powered Healthcare System? University of Zurich & University Hospital Zurich, 2024.07.08
3. Deep learning interpretable analysis of multivariate time-series electronic medical record data HIT Webinar, 2023.01.06

   Video
4. Invited talk for the High Risk Breast Cancer Prediction Challenge Machine Learning for Health (ML4H), 2022.11.28

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Services

Reviewer

Teaching Assistant