Yinghao Zhu (朱英豪)

Yinghao Zhu Avatar

Email:yhzhu99 [at] gmail [dot] com

Phone: (+86) 15026559349

CV, GitHub, Google Scholar, ResearchGate, OpenReview, ORCID, Semantic Scholar, arXiv, WCA

[About Me] I'm currently a master student under the supervision of Prof. Chengwei Pan at Beihang University and Prof. Liantao Ma at Peking University. Additionally, I work closely with Junyi Gao from HDR UK. My research primarily focuses on AI for Healthcare, particularly in the areas of data mining within electronic health records (EHR) and developing multimodal foundation models for healthcare applications.

Education

Experience

Publications
(* indicates the equal contributions, # indicates the corresponding author.)

    Journals

  1. 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
  2. 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
  3. 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
  4. 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

    5. Conferences

  5. EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling 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
  6. PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity Mitigation 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
  7. 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), 2024
    Paper Code
  8. 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
  9. 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

    10. Workshops & Abstracts

  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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

    17. Preprints

  17. 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# Preprint, 2024
    Paper Code
  18. 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# Preprint, 2024
    Paper Code Website
  19. SuperGS: Super-Resolution 3D Gaussian Splatting via Latent Feature Field and Gradient-guided Splitting Shiyun Xie, Zhiru Wang, Yinghao Zhu, Chengwei Pan# Preprint, 2024
    Paper
  20. 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
  21. 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
  22. AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation Jingkun An*, Yinghao Zhu*, Zongjian Li*, Haoran Feng, Bohua Chen, Yemin Shi, Chengwei Pan# Preprint, 2024
    Paper Code
  23. 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
  24. 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
  25. 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
  26. Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories Tianlong Wang*, Xianfeng Jiao*, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang#, Liantao Ma# Preprint, 2024
    Paper
  27. 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

Book Chapters

  1. Python Data Analysis Yunxiang Lu, 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
  2. Big Data Visualization Techniques Yunxiang Lu, Zeliang Yao, Jili Xie, Yinghao Zhu, Shanzhao Qiu, Yangang Han, Zehuan Huang Tsinghua University Press, 2023
    Book
  3. Theory and Practice of Artificial Intelligence Yunxiang Lu, 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
    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. Detecting Active Tuberculosis Bacilli Yinghao Zhu, Junyi Gao, Liantao Ma Top 4 out of all teams, Nightingale Open Science and Wellgen Medical, 2024
  2. 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
  3. 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
  4. "Challenge Cup" Competition of Science Achievement in China Special Prize (Top 1), China Association for Science and Technology, etc, 2023
  5. 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
  6. Outstanding Graduate of Beihang University Beihang University, 2022
  7. "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. Deep learning interpretable analysis of multivariate time-series electronic medical record data Liantao Ma, Yinghao Zhu HIT Webinar, 2023
    Video
  2. Invited talk for the High Risk Breast Cancer Prediction Challenge Yinghao Zhu Machine Learning for Health (ML4H), 2022
    Video

Services

Reviewer (2023 - Present)

Teaching

Teaching Assistant at Beihang University (2020 - 2023)