Wen Tang

According to our database, Wen Tang authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Dehao Sui, Tianlong Wang, Wen Tang, Yasha Wang, Ewen M. Harrison, Chengwei Pan, Junyi Gao, Liantao Ma

Proceedings of the ACM on Web Conference 2025, 2025

2024

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

Patterns, 2024

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

CoRR, 2024

Predict and Interpret Health Risk Using Ehr Through Typical Patients.

Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

Patterns, December, 2023

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features.

Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang

IEEE Trans. Knowl. Data Eng., November, 2023

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

CoRR, 2023

Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset.

Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang

CoRR, 2023

2022

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

CoRR, 2022

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering.

Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao

CoRR, 2022

2021

Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis.

Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients.

Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis.

Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang

CoRR, 2020

StageNet: Stage-Aware Neural Networks for Health Risk Prediction.

Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.

Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.

Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.

Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

CoRR, 2019

MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones.

Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang

Proceedings of the 2019 IEEE SmartWorld, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.

Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019