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Qincheng Lu
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 13
Top Topics
Symbolic Representation
Sparsity Inducing
Directed Graph
Neural Network
Top Venues
CoRR
NeurIPS
ISIT
COMPLEX NETWORKS (1)
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Publications
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Qincheng Lu
,
Jiaqi Zhu
,
Sitao Luan
,
Xiao-Wen Chang
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention.
CoRR
(2024)
Ziyang Song
,
Qincheng Lu
,
He Zhu
,
Yue Li
Bidirectional Generative Pre-training for Improving Time Series Representation Learning.
CoRR
(2024)
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
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges.
CoRR
(2024)
Qincheng Lu
,
Sitao Luan
,
Xiao-Wen Chang
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection.
CoRR
(2024)
Sitao Luan
,
Chenqing Hua
,
Minkai Xu
,
Qincheng Lu
,
Jiaqi Zhu
,
Xiao-Wen Chang
,
Jie Fu
,
Jure Leskovec
,
Doina Precup
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability.
CoRR
(2023)
Ziyang Song
,
Qincheng Lu
,
Hao Xu
,
Yue Li
TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation.
CoRR
(2023)
Sitao Luan
,
Chenqing Hua
,
Minkai Xu
,
Qincheng Lu
,
Jiaqi Zhu
,
Xiao-Wen Chang
,
Jie Fu
,
Jure Leskovec
,
Doina Precup
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability.
NeurIPS
(2023)
Xiao-Wen Chang
,
Qincheng Lu
,
Yingzi Xu
Success Probabilities of L2-norm Regularized Babai Detectors and Maximization.
ISIT
(2023)
Sitao Luan
,
Chenqing Hua
,
Qincheng Lu
,
Jiaqi Zhu
,
Xiao-Wen Chang
,
Doina Precup
When Do We Need Graph Neural Networks for Node Classification?
COMPLEX NETWORKS (1)
(2023)
Sitao Luan
,
Chenqing Hua
,
Qincheng Lu
,
Jiaqi Zhu
,
Mingde Zhao
,
Shuyuan Zhang
,
Xiao-Wen Chang
,
Doina Precup
Revisiting Heterophily For Graph Neural Networks.
CoRR
(2022)
Sitao Luan
,
Chenqing Hua
,
Qincheng Lu
,
Jiaqi Zhu
,
Mingde Zhao
,
Shuyuan Zhang
,
Xiao-Wen Chang
,
Doina Precup
Revisiting Heterophily For Graph Neural Networks.
NeurIPS
(2022)
Sitao Luan
,
Chenqing Hua
,
Qincheng Lu
,
Jiaqi Zhu
,
Xiao-Wen Chang
,
Doina Precup
When Do We Need GNN for Node Classification?
CoRR
(2022)
Sitao Luan
,
Chenqing Hua
,
Qincheng Lu
,
Jiaqi Zhu
,
Mingde Zhao
,
Shuyuan Zhang
,
Xiao-Wen Chang
,
Doina Precup
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
CoRR
(2021)