Chang Lu

According to our database, Chang Lu authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference.

Pengfei Hu, Chang Lu, Feifan Liu, Yue Ning

CoRR, February, 2026

GeoPhrase Tree: An Efficient Index for Frequent Phrase Query over Spatio-Temporal Ranges.

Chenning Wu, Chang Lu, Yinan Jing, Zhenying He, Zhihui Yang, X. Sean Wang

Proceedings of the Database Systems for Advanced Applications, 2026

2025

HydroDCM: Hydrological Domain-Conditioned Modulation for Cross-Reservoir Inflow Prediction.

Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Yue Ning, Dan Lu

CoRR, December, 2025

Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction.

Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu

Proceedings of the IEEE International Conference on Data Mining, 2025

No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery.

Xiaoxue Han, Pengfei Hu, Chang Lu, Jun-En Ding, Feng Liu, Yue Ning

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Multi-Label Clinical Time-Series Generation via Conditional GAN.

Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning

IEEE Trans. Knowl. Data Eng., April, 2024

DualMAR: Medical-Augmented Representation from Dual-Expertise Perspectives.

Pengfei Hu, Chang Lu, Fei Wang, Yue Ning

CoRR, 2024

An Effective, Efficient, and Stable Framework for Query Clustering.

Chang Lu, Liuqing Li, Donghyun Kim, Xinyue Wang, Rao Shen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.

Chang Lu, Chandan K. Reddy, Yue Ning

IEEE Trans. Cybern., April, 2023

Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning.

Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs.

Chang Lu, Tian Han, Yue Ning

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficiently answering top-k frequent term queries in temporal-categorical range.

Zhenying He, Lu Wang, Chang Lu, Yinan Jing, Kai Zhang, Weili Han, Jianxin Li, Chengfei Liu, X. Sean Wang

Inf. Sci., 2021

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.

Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2018

A System for Exploratory Analysis in Cloud.

Liangchen Guo, Yazhong Zhang, Chang Lu, Yinan Jing, Zhenying He, X. Sean Wang

Proceedings of the 5th IEEE International Conference on Cyber Security and Cloud Computing, 2018