Qincheng Lu

According to our database, Qincheng Lu authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning.

Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang

CoRR, 2024

Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks.

Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang

CoRR, 2024

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges.

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

CoRR, 2024

GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection.

Qincheng Lu, Sitao Luan, Xiao-Wen Chang

CoRR, 2024

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention.

Qincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang

CoRR, 2024

Bidirectional Generative Pre-training for Improving Time Series Representation Learning.

Ziyang Song, Qincheng Lu, He Zhu, Yue Li

CoRR, 2024

TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare.

Ziyang Song, Qincheng Lu, Hao Xu, He Zhu, David Buckeridge, Yue Li

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation.

Ziyang Song, Qincheng Lu, Hao Xu, Yue Li

CoRR, 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

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

Success Probabilities of L2-norm Regularized Babai Detectors and Maximization.

Xiao-Wen Chang, Qincheng Lu, Yingzi Xu

Proceedings of the IEEE International Symposium on Information Theory, 2023

When Do We Need Graph Neural Networks for Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

When Do We Need GNN for Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup

CoRR, 2022

Revisiting Heterophily For Graph Neural Networks.

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup

CoRR, 2021