| 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 | 26* | 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 | 14 | 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 | 9 | 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 | 8 | 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 | 2 | 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 | 2 | 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 | 1 | 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 | 1 | 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 | | 2022 |
Junping Zhang, ProfessorShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
