Liantao Ma

According to our database, Liantao Ma authored at least 39 papers between 2015 and 2024.

Collaborative distances:

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

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

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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.

Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma

CoRR, 2024

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

CoRR, 2024

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.

Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma

CoRR, 2024

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series.

Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu

CoRR, 2024

Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare.

Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Temporal Domain Generalization via Learning Instance-level Evolving Patterns.

Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting.

Zhihao Yu, Liantao Ma, Yasha Wang, Junfeng Zhao

CoRR, 2023

A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets.

Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang, Liantao Ma

CoRR, 2023

Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity.

Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Zixi Chen, Jingkun An, Liantao Ma, Chengwei Pan

CoRR, 2023

Graph Interpolation via Fast Fused-Gromovization.

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

CoRR, 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

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications.

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

M³Care: Learning with Missing Modalities in Multimodal Healthcare Data.

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

CoRR, 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

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach.

Liantao Ma, Chaohe Zhang, Yasha Wang, Guangju Peng, Chao Chen, Junfeng Zhao, Jiangtao Wang

Sensors, 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

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

Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation.

Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang

Proceedings of the 2019 IEEE SmartWorld, 2019

Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications.

Xin Gao, Chaohe Zhang, Liantao Ma, Yasha Wang, Jiangtao Wang, Daqing Zhang

Proceedings of the 2019 IEEE SmartWorld, 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

2017

PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Yuanduo He, Liantao Ma

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2015

Ubiquitous Intelligent Computing in 10 Years VS Chinese Kungfu.

Liantao Ma, Yibo Wang, Junyi Ma, Yuanduo He, Zhaopeng Qiu, Zhengyang Qin, Yasha Wang

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015