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 & Conferences

  1. Yinghao Zhu*, Changyu Ren*, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan# (2024) EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. [CIKM 2024]
    Paper Code
  2. Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma#, Chengwei Pan# (2023) PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity Mitigation. [CIKM 2024]
    Paper Code
  3. Junyi Gao*, Yinghao Zhu*, Wenqing Wang*, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma# (2024) A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care. [Cell Patterns]
    Paper Code Platform
  4. 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 (2023) Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients. [Cell Patterns, Cover]
    Paper Code
  5. Chaohe Zhang*, Xu Chu*, Liantao Ma, Yinghao Zhu, Yasha Wang#, Jiangtao Wang, Junfeng Zhao (2022) M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. [KDD 2022]
    Paper Code

    6. Workshops & Abstracts

  6. Hao Wu*, Yinghao Zhu*, Zixiang Wang, Xiaochen Zheng, Ling Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao#, Liantao Ma# (2024) EHRFlow: A Large Language Model-Driven Iterative Multi-Agent Electronic Health Record Data Analysis Workflow. [KDD 2024 AIDSH Workshop, Oral]
    Paper Code
  7. 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# (2024) RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval. [KDD 2024 AIDSH Workshop]
    Paper Code
  8. Yuhang Wang, Yinghao Zhu, Lifang Liang, Yasha Wang, Ewen M. Harrison, Liantao Ma, Junyi Gao# (2024) DeepEST: A Python Libary for Spatio-Temporal Epidemiology Prediction. [KDD 2024 AIDSH Workshop]
    Paper Code
  9. Yinghao Zhu*, Jingkun An*, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan#, Liantao Ma# (2023) M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method. [HDSS 2023, Abstract]
    Paper Code
  10. Junyi Gao*, Yinghao Zhu*, Wenqing Wang*, Yasha Wang, Wen Tang, Liantao Ma# (2023) A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis. [AMIA 2023, Abstract, Oral]
    Paper Code
  11. Mingshu Yang, Zhongwei Qiao, Yinghao Zhu, Chaogang Lu, Yaqin Xia (2023) Exploration of the feasibility of using examination time order to split small sample size data for radiomics. [AOSPR 2023, Abstract, Oral]
  12. Mingshu Yang, Zhongwei Qiao, Yinghao Zhu, Chaogang Lu, Yaqin Xia (2023) Assessing the value of the radiomics model based on MRI of the wrist joint in predicting the use of biologics in JIA. [AOSPR 2023, Abstract, Oral]

    13. Preprints

  13. Yinghao Zhu*, Junyi Gao*, Zixiang Wang*, Weibin Liao*, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan#, Ewen M. Harrison#, Liantao Ma# (2024) Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. [arXiv, preprint]
    Paper Code
  14. Yinghao Zhu*, Zixiang Wang*, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma#, Chengwei Pan# (2024) Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. [arXiv, preprint]
    Paper Code
  15. Jingkun An*, Yinghao Zhu*, Zongjian Li*, Haoran Feng, Bohua Chen, Yemin Shi, Chengwei Pan# (2024) AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. [arXiv, preprint]
    Paper Code
  16. Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang#, Liantao Ma# (2024) Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. [arXiv, preprint]
    Paper
  17. Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang#, Liantao Ma# (2024) LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. [arXiv, preprint]
    Paper Code
  18. Yueying Wu*, Junyi Gao*, Wen Tang#, Chunyan Su, Yinghao Zhu, Tianlong Wang, Weibin Liao, Xu Chu, Ewen M. Harrison, Yasha Wang#, Liantao Ma# (2024) Exploring the Relationship Between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients. [preprint]
    Paper
  19. Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang#, and Liantao Ma# (2023) Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets. [arXiv, preprint]
    Paper
  20. Tianlong Wang*, Xianfeng Jiao*, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang#, Liantao Ma# (2024) Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. [arXiv, preprint]
    Paper
  21. Xin Tan, Xiao Long, Xianjun Ni, Yinghao Zhu, Jing Jiang, Li Zhang# (2024) How far are AI-powered programming assistants from meeting developers' needs?. [arXiv, preprint]
    Paper

    22. Book Chapters

  22. 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 (2023) Python Data Analysis. [Tsinghua University Press]
    Book
  23. Yunxiang Lu, Zeliang Yao, Jili Xie, Yinghao Zhu, Shanzhao Qiu, Yangang Han, Zehuan Huang (2023) Big Data Visualization Techniques. [Tsinghua University Press]
    Book
  24. Yunxiang Lu, Luting Huang, Zezhong Liang, Wenzhi Yin, Xueting Han, Yinghao Zhu, Miaoran Chen (2022) Theory and Practice of Artificial Intelligence. [Tsinghua University Press]
    Book

Projects

  1. Yinghao Zhu, Wenqing Wang, Junyi Gao, Liantao Ma (2023) PyEHR: A Predictive Modeling Toolkit for Electronic Health Records.
    Code
  2. 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 (2023) Envisioning the Future Through AI: Perspectives on Global Landscapes and Lifestyles. [CVPR 2023 Art Gallery]
    Video

Awards

  1. Yinghao Zhu, Junyi Gao, Liantao Ma Detecting Active Tuberculosis Bacilli (2024) [Top 4 out of all teams, Nightingale Open Science and Wellgen Medical]
  2. Yinghao Zhu, Jingkun An, Enshen Zhou, Hao Li, Haoran Feng Bias Detection Tools for Clinical Decision Making Challenge (2023) [Third Place Prize, NIH/NCATS]
    Code Project Video
  3. Yinghao Zhu, Zhihao Yu, Xianfeng Jiao Alibaba Tianchi UNiLAB Algorithm Competition (2023) [Encouragement Award, Top 11 out of 230 teams at Track 1 and Top 10 out of 324 teams at Track 2]
  4. "Challenge Cup" Competition of Science Achievement in China (2023) [Special Prize (Top 1), China Association for Science and Technology, etc]
  5. Yinghao Zhu, Junyi Gao, Xinze Li, Yifan He, Wenqing Wang, Liantao Ma High Risk Breast Cancer Prediction Contest 1 (2022) [Top 3 out of all teams, Nightingale Open Science, Association for Health Learning & Inference (AHLI), and Providence St. Joseph Health]
    Code
  6. Outstanding Graduate of Beihang University (2022)
  7. "Feng Ru Cup" Competition of Academic and Technological Works (2021, 2022) [First Prize (Top 1% of all candidates of all majors), Beihang University]

Talks

  1. Deep learning interpretable analysis of multivariate time-series electronic medical record data (2023) [HIT Webinar 2023]
    Video
  2. Invited talk for the High Risk Breast Cancer Prediction Challenge (2022) [ML4H 2022]
    Video

Services

Reviewer (2023 - Present)

Organizor

Teaching

Teaching Assistant at Beihang University (2020 - 2023)