| 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 45 (6), 7509-7524, 2022 | 82 | 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 | 21 | 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 | 19 | 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 8 (4), 2628-2634, 2023 | 13 | 2023 |
| 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 | 12 | 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 | 10 | 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 | 9 | 2022 |
| Learning to distill global representation for sparse-view CT Z Li, C Ma, J Chen, J Zhang, H Shan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 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 | 2 | 2022 |
| Leveraging Smooth Deformation Augmentation for LiDAR Point Cloud Semantic Segmentation S Qiu, J Chen, C Lai, H Lu, X Xue, J Pu IEEE Transactions on Intelligent Vehicles, 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
| Guided contrastive boundary learning for semantic segmentation S Qiu, J Chen, H Zhang, R Wan, X Xue, J Pu Pattern Recognition 155, 110723, 2024 | | 2024 |
| Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation S Qiu, J Chen, X Li, R Wan, X Xue, J Pu arXiv preprint arXiv:2407.13254, 2024 | | 2024 |
| Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs R Ma, J Chen, X Xue, J Pu arXiv preprint arXiv:2407.10534, 2024 | | 2024 |
Junping Zhang, ProfessorShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University在 fudan.edu.cn 的电子邮件经过验证
