Chang Lu

20 papers A* 4Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference.
CoRR
Pengfei Hu, Chang Lu, Feifan Liu, Yue Ning
2025 — conf
Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction.
ICDM (Workshops)
Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu
2025 J jnl
Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction.
CoRR
Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu
2025 J jnl
HydroDCM: Hydrological Domain-Conditioned Modulation for Cross-Reservoir Inflow Prediction.
CoRR
Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Yue Ning, Dan Lu
2025 — conf
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery.
EMNLP (Findings)
Xiaoxue Han, Pengfei Hu, Chang Lu, Jun-En Ding, Feng Liu, Yue Ning
2025 J jnl
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery.
CoRR
Xiaoxue Han, Pengfei Hu, Jun-En Ding, Chang Lu, Feng Liu, Yue Ning
2024 A* conf
An Effective, Efficient, and Stable Framework for Query Clustering.
ICDE
Chang Lu, Liuqing Li, Donghyun Kim, Xinyue Wang, Rao Shen
2024 J jnl
DualMAR: Medical-Augmented Representation from Dual-Expertise Perspectives.
CoRR
Pengfei Hu, Chang Lu, Fei Wang, Yue Ning
2024 J jnl
Multi-Label Clinical Time-Series Generation via Conditional GAN.
IEEE Trans. Knowl. Data Eng.
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
2023 J jnl
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.
IEEE Trans. Cybern.
Chang Lu, Chandan K. Reddy, Yue Ning
2023 A* conf
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.
NeurIPS
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
2023 J jnl
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.
CoRR
Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning
2022 A* conf
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs.
AAAI
Chang Lu, Tian Han, Yue Ning
2022 J jnl
Multi-Label Clinical Time-Series Generation via Conditional GAN.
CoRR
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
2021 A* conf
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
IJCAI
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021 J jnl
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
CoRR
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
2021 J jnl
Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs.
CoRR
Chang Lu, Tian Han, Yue Ning
2021 J jnl
Efficiently answering top-k frequent term queries in temporal-categorical range.
Inf. Sci.
Zhenying He, Lu Wang, Chang Lu, Yinan Jing, Kai Zhang, Weili Han, Jianxin Li, Chengfei Liu, X. Sean Wang
2021 J jnl
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction.
CoRR
Chang Lu, Chandan K. Reddy, Yue Ning
2018 — conf
A System for Exploratory Analysis in Cloud.
CSCloud/EdgeCom
Liangchen Guo, Yazhong Zhang, Chang Lu, Yinan Jing, Zhenying He, X. Sean Wang