Chang Lu - RankMe

20 papers A* 4Journal 13Unranked 3

Year	Rank	Type	Title / 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