Zixiang Wang (王子翔)

Education

• M.Eng. in Software Engineering, Peking University, Beijing, China

  2025.09 - now
• B.Eng. in Software Engineering, Beihang University, Beijing, China

  2020.09 - 2024.06

Publications

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

1. 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

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2. 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

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3. 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

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4. 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

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5. 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

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6. 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

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7. 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

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8. 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

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9. 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

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10. 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

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11. 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

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