Lucas Jing Liu

According to our database, Lucas Jing Liu authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction.

Sihang Zeng, Yujuan Fu, Sitong Zhou, Zixuan Yu, Lucas Jing Liu, Jun Wen, Matthew Thompson, Ruth Etzioni, Meliha Yetisgen

CoRR, October, 2025

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction.

Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2022

KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction.

Lucas Jing Liu, Victor Ortiz-Soriano, Javier A. Neyra, Jin Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

KGDAL: knowledge graph guided double attention LSTM for rolling mortality prediction for AKI-D patients.

Lucas Jing Liu, Victor Ortiz-Soriano, Javier A. Neyra, Jin Chen

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.

Lucas Jing Liu, Hongwei Zhang, Jianzhong Di, Jin Chen

CoRR, 2020

ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.

Lucas Jing Liu, Hongwei Zhang, Jianzhong Di, Jin Chen

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020