Jie Chen
Jie Chen
PhD candidate of Computer Science, Fudan University
Verified email at
Cited by
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Learning representation for clustering via prototype scattering and positive sampling
Z Huang, J Chen, J Zhang, H Shan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
J Chen, S Chen, M Bai, J Pu, J Zhang, J Gao
IEEE Transactions on Neural Networks and Learning Systems, 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination
J Chen, W Liu, J Pu
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
J Chen, S Chen, J Gao, Z Huang, J Zhang, J Pu
IEEE Transactions on Neural Networks and Learning Systems, 2023
DSiV: Data Science for Intelligent Vehicles
J Zhang, J Pu, J Chen, H Fu, Y Tao, S Wang, Q Chen, Y Xiao, S Chen, ...
IEEE Transactions on Intelligent Vehicles, 2023
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
J Chen, S Chen, M Bai, J Gao, J Zhang, J Pu
arXiv preprint arXiv:2210.09609, 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
J Chen, Z Li, Y Zhu, J Zhang, J Pu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
J Chen, W Liu, Z Huang, J Gao, J Zhang, J Pu
arXiv preprint arXiv:2205.15127, 2022
Tensor Neural Controlled Differential Equations
M Bai, J Chen, Q Zhao, C Li, J Zhang, J Gao
2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022
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