Ning, Yue

8 publications

AISTATS 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han, Huzefa Rangwala, Yue Ning

NeurIPS 2024 A Topology-Aware Graph Coarsening Framework for Continual Graph Learning Xiaoxue Han, Zhuo Feng, Yue Ning

NeurIPS 2023 Towards Semi-Structured Automatic ICD Coding via Tree-Based Contrastive Learning Chang Lu, Chandan Reddy, Ping Wang, Yue Ning

AAAI 2022 Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Chang Lu, Tian Han, Yue Ning

CVPR 2022 Weakly-Supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images Jingqi Huang, Yue Ning, Dong Nie, Linan Guan, Xiping Jia

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

AAAI 2017 Determining Relative Airport Threats from News and Social Media Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan

AAAI 2016 Topical Analysis of Interactions Between News and Social Media Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan