Qincheng Lu

20 papers A* 2B 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare.
Health Inf. Sci. Syst.
Ziyang Song, Qincheng Lu, Hao Xu, Ziqi Yang, He Zhu, David L. Buckeridge, Yue Li
2024 J jnl
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks.
CoRR
Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang
2024 — conf
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning.
MLHC
Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li
2024 J jnl
Bidirectional Generative Pre-training for Improving Time Series Representation Learning.
CoRR
Ziyang Song, Qincheng Lu, He Zhu, Yue Li
2024 — conf
Flexible Diffusion Scopes With Parameterized Laplacian for Heterophilic Graph Learning.
LoG
Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
2024 J jnl
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning.
CoRR
Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
2024 B conf
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection.
GLOBECOM
Qincheng Lu, Sitao Luan, Xiao-Wen Chang
2024 J jnl
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection.
CoRR
Qincheng Lu, Sitao Luan, Xiao-Wen Chang
2024 J jnl
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention.
CoRR
Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang
2024 J jnl
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges.
CoRR
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2024 — conf
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare.
BCB
Ziyang Song, Qincheng Lu, Hao Xu, He Zhu, David L. Buckeridge, Yue Li
2023 B conf
Success Probabilities of L2-norm Regularized Babai Detectors and Maximization.
ISIT
Xiao-Wen Chang, Qincheng Lu, Yingzi Xu
2023 J jnl
TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation.
CoRR
Ziyang Song, Qincheng Lu, Hao Xu, Yue Li
2023 J jnl
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability.
CoRR
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023 A* conf
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability.
NeurIPS
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023 — conf
When Do We Need Graph Neural Networks for Node Classification?
COMPLEX NETWORKS (1)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2022 A* conf
Revisiting Heterophily For Graph Neural Networks.
NeurIPS
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022 J jnl
Revisiting Heterophily For Graph Neural Networks.
CoRR
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
2022 J jnl
When Do We Need GNN for Node Classification?
CoRR
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
2021 J jnl
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
CoRR
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup