Yinghao Zhu (朱英豪)

Education

• The University of Hong Kong School of Computing and Data Science, Hong Kong SAR, China

  2025.07 - Present
  PhD Student, supervised by Prof. Lequan Yu
• Beihang University School of Artificial Intelligence, Beijing, China

  2022.09 - 2025.01
  M.Eng. in Artificial Intelligence, supervised by Prof. Chengwei Pan
• Politecnico di Milano Milan, Italy

  2024.02 - 2024.07
  Exchange in Computer Science and Engineering
• Beihang University School of Software, Beijing, China

  2018.09 - 2022.06
  B.Eng. in Software Engineering
• Shanghai High School Shanghai, China

  2015.09 - 2018.06

Professional Experience

• Peking University School of Computer Science, Beijing, China

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

  2024.03 - 2024.12
  Research Assistant, advised by Prof. Yiqing Xu
• University of Zurich & University Hospital Zurich KrauthammerLab, Zurich, Switzerland

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

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

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

Publications(^*: Equal contribution, ^†: Corresponding author)

1. HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research Yinghao Zhu^*, Yifan Qi^*, Zixiang Wang, Lei Gu, Dehao Sui, Haoran Hu, Xichen Zhang, Ziyi He, Liantao Ma^†, Lequan Yu^† Preprint, 2025

   PaperCodeWebsite
2. MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks Yinghao Zhu^*, Ziyi He^*, Haoran Hu^*, Xiaochen Zheng^*, Xichen Zhang, Zixiang Wang, Junyi Gao, Liantao Ma^†, Lequan Yu^† Preprint, 2025

   PaperCodeWebsite
3. ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks Yinghao Zhu^*, Junyi Gao^*, Zixiang Wang^*, Weibin Liao^*, Xiaochen Zheng, Lifang Liang, Miguel O. Bernabeu, Yasha Wang, Lequan Yu, Chengwei Pan^†, Ewen M. Harrison^†, Liantao Ma^† Preprint, 2024

   PaperCodeWebsite
4. AICare: An AI-Clinician Interaction System for Transparent and Actionable Clinical Decision Support Junyi Gao, Zixiang Wang, Dehao Sui, Wen Tang, Yasha Wang, Ling Wang, Liantao Ma, Yinghao Zhu The Symposium on Artificial Intelligence in Learning Health Systems (SAIL), Best abstract nominee, 2025

   PaperWebsite
5. Foundation models and intelligent decision-making: Progress, challenges, and perspectives Jincai Huang, Yongjun Xu, Qi Wang, et al. The Innovation, 2025

   Paper
6. 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

   PaperCode
7. 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

   PaperCode
8. 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

   PaperCodeWebsite
9. 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

   PaperCode
10. 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

    PaperCode
11. 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

    PaperCodeDatasetWebsite
12. 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

    PaperCode
13. Exploring the Relationship Between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients Stratified by Serum Albumin Levels Yueying Wu^*, Junyi Gao^*, Wen Tang^†, Chunyan Su, Yinghao Zhu, Tianlong Wang, Ling Wang^†, Weibin Liao, Xu Chu, Yasha Wang^†, Xinju Zhao, Tao Wang, Ewen M. Harrison, Liantao Ma^† Health Data Science, 2025

    PaperCode
14. Evaluation of radiomics as an assistant tool for radiologists in the diagnosis of necrotizing enterocolitis Chaogang Lu, Mingshu Yang, Yinghao Zhu, Yaqin Xia, Siqi Luo, Guang Yang, Mei Bai^†, Zhongwei Qiao^† Translational Pediatrics, 2025

    Paper
15. ConfAgents: A Conformal-Guided Multi-Agent Framework for Cost-Efficient Medical Diagnosis Huiya Zhao^*, Yinghao Zhu^*, Zixiang Wang^*, Yasha Wang, Junyi Gao, Liantao Ma^† Preprint, 2025

    PaperCode
16. LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning Bo Hou, Xin Tan^†, Kai Zheng, Fang Liu, Yinghao Zhu, Li Zhang Preprint, 2025

    PaperCode
17. Reuse or Generate? Accelerating Code Editing via Edit-Oriented Speculative Decoding Peiding Wang, Li Zhang, Fang Liu^†, Yinghao Zhu, Wang Xu, Lin Shi^†, Xiaoli Lian, Minxiao Li, Bo Shen, An Fu Preprint, 2025

    PaperCode
18. SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting Shiyun Xie, Zhiru Wang, Yinghao Zhu, Xu Wang, Chengwei Pan^†, Xiwang Dong Preprint, 2025

    PaperCode
19. 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

    PaperCodeVideo
20. 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

    PaperCodeVideo
21. 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

    PaperCodeWebsite
22. 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

    PaperCode
23. 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
24. 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

    PaperCode
25. 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

    PaperCode
26. 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

    PaperCode
27. 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

    PaperCode
28. 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

    PaperCode
29. 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

    PaperCode
30. 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

    PaperCode
31. 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
32. 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

    PaperCode
33. M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method Yinghao Zhu^*, Jingkun An^*, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan^†, Liantao Ma^† Beijing Health Data Science Summit 2023, Abstract, 2023

    PaperCode
34. 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

    PaperCode
35. 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
36. 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
37. 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

    PaperCode
38. 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

    PaperCode
39. 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
40. Big Data Visualization Techniques Yunxiang Lyu, Zeliang Yao, Jili Xie, Yinghao Zhu, Shanzhao Qiu, Yangang Han, Zehuan Huang Tsinghua University Press, 2023

    Book
41. 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

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

  Code
• 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

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

  CodeProjectVideo
• Alibaba Tianchi UNiLAB Algorithm Competition Yinghao Zhu, Zhihao Yu, Xianfeng Jiao Encouragement Award, Top 11/230 & Top 10/324, 2023
• "Challenge Cup" Competition of Science Achievement in China Special Prize (Top 1), China Association for Science and Technology, etc, 2023
• 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, AHLI, and Providence St. Joseph Health, 2022

  Code
• Outstanding Graduate of Beihang University Beihang University, 2022
• "Feng Ru Cup" Competition of Academic and Technological Works First Prize (Top 1%), Beihang University, 2021, 2022

Talks

• Accelerating Medical Research with DeepSeek Tibet Autonomous Region People's Hospital, 2025.06.14
• Traceable and Reliable PubMed Literature Retrieval Based on DeepSeek Department of Obstetrics, Beijing University Third Hospital & Beijing Tiantan Hospital, 2025.04.18, 2025.04.20
• Building accessible and trustworthy clinical AI in the era of LLM Department of Nephrology, Beijing University Third Hospital & Beijing University Cancer Hospital & Department of Obstetrics, Beijing University Third Hospital, 2025.02.19,20,21
• 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
• 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 data HIT Webinar, 2023.01.06

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

  Video

Services

Reviewer

Volunteer

Teaching Assistant