Lucas Jing Liu

According to our database, Lucas Jing Liu authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

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

CoRR, August, 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