Lu, Qincheng

5 publications

LoG 2025 Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang

MLHC 2024 Bidirectional Generative Pre-Training for Improving Healthcare Time-Series Representation Learning Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li

NeurIPSW 2024 TrajGPT: Healthcare Time-Series Representation Learning for Trajectory Prediction Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li

NeurIPS 2023 When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup

NeurIPS 2022 Revisiting Heterophily for Graph Neural Networks Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup