A System for Exploratory Analysis in Cloud. - Liangchen Guo; Yazhong Zhang; Chang Lu 004; Yinan Jing; Zhenying He; X. Sean Wang (CSCloud/EdgeCom, 2018)

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. - Chang Lu 004; Chandan K. Reddy; Prithwish Chakraborty; Samantha Kleinberg; Yue Ning 001 (IJCAI, 2021)

Efficiently answering top-k frequent term queries in temporal-categorical range. - Zhenying He; Lu Wang; Chang Lu 004; Yinan Jing; Kai Zhang 006; Weili Han; Jianxin Li 001; Chengfei Liu; X. Sean Wang (Inf. Sci., 2021)

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. - Chang Lu 004; Tian Han 001; Yue Ning 001 (AAAI, 2022)

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning. - Chang Lu 004; Chandan K. Reddy; Ping Wang 024; Yue Ning 001 (NeurIPS, 2023)

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. - Chang Lu 004; Chandan K. Reddy; Yue Ning 001 (IEEE Trans. Cybern., 2023)

DualMAR: Medical-Augmented Representation from Dual-Expertise Perspectives. - Pengfei Hu; Chang Lu 004; Fei Wang; Yue Ning 001 (CoRR, 2024)

Multi-Label Clinical Time-Series Generation via Conditional GAN. - Chang Lu 004; Chandan K. Reddy; Ping Wang 024; Dong Nie; Yue Ning 001 (IEEE Trans. Knowl. Data Eng., 2024)

No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery. - Xiaoxue Han; Pengfei Hu; Jun-En Ding; Chang Lu 004; Feng Liu 011; Yue Ning 001 (CoRR, 2025)