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| Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds M Chen, J Silva, J Paisley, C Wang, D Dunson, L Carin IEEE Transactions on Signal Processing 58 (12), 6140-6155, 2010 | 203 | 2010 |
| Universal prompt tuning for graph neural networks T Fang, Y Zhang, Y Yang, C Wang, L Chen Advances in Neural Information Processing Systems 36, 2024 | 84 | 2024 |
| Dgraph: A large-scale financial dataset for graph anomaly detection X Huang, Y Yang, Y Wang, C Wang, Z Zhang, J Xu, L Chen, ... Advances in Neural Information Processing Systems 35, 22765-22777, 2022 | 78 | 2022 |
| Learning fair representations via an adversarial framework R Feng, Y Yang, Y Lyu, C Tan, Y Sun, C Wang arXiv preprint arXiv:1904.13341, 2019 | 64 | 2019 |
| Dropmessage: Unifying random dropping for graph neural networks T Fang, Z Xiao, C Wang, J Xu, X Yang, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4267-4275, 2023 | 59 | 2023 |
| Nonparametric Bayesian matrix completion M Zhou, C Wang, M Chen, J Paisley, D Dunson, L Carin 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, 213-216, 2010 | 57 | 2010 |
| Hierarchical kernel stick-breaking process for multi-task image analysis Q An, C Wang, I Shterev, E Wang, L Carin, DB Dunson Proceedings of the 25th international conference on Machine learning, 17-24, 2008 | 53 | 2008 |
| Unsupervised adversarially robust representation learning on graphs J Xu, Y Yang, J Chen, X Jiang, C Wang, J Lu, Y Sun Proceedings of the AAAI conference on artificial intelligence 36 (4), 4290-4298, 2022 | 37 | 2022 |
| Compositional feature augmentation for unbiased scene graph generation L Li, G Chen, J Xiao, Y Yang, C Wang, L Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 35 | 2023 |
| Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network. Y Sun, H Deng, Y Yang, C Wang, J Xu, R Huang, L Cao, Y Wang, L Chen IJCAI, 2233-2240, 2022 | 34 | 2022 |
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| Prompt tuning for graph neural networks T Fang, YM Zhang, Y Yang, C Wang | 29 | 2022 |
| Time2Graph+: Bridging time series and graph representation learning via multiple attentions Z Cheng, Y Yang, S Jiang, W Hu, Z Ying, Z Chai, C Wang IEEE Transactions on Knowledge and Data Engineering 35 (2), 2078-2090, 2021 | 28 | 2021 |
| Robust network enhancement from flawed networks J Xu, Y Yang, C Wang, Z Liu, J Zhang, L Chen, J Lu IEEE Transactions on Knowledge and Data Engineering 34 (7), 3507-3520, 2020 | 23 | 2020 |
| Classification of unexploded ordnance using incomplete multisensor multiresolution data D Williams, C Wang, X Liao, L Carin IEEE Transactions on Geoscience and Remote Sensing 45 (7), 2364-2373, 2007 | 22 | 2007 |
| When to Pre-Train Graph Neural Networks? From Data Generation Perspective! Y Cao, J Xu, C Yang, J Wang, Y Zhang, C Wang, L Chen, Y Yang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 21 | 2023 |
| Understanding default behavior in online lending Y Yang, Y Xu, C Wang, Y Sun, F Wu, Y Zhuang, M Gu Proceedings of the 28th ACM International Conference on Information and …, 2019 | 20 | 2019 |
| Network embedding via motifs P Shao, Y Yang, S Xu, C Wang ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-20, 2021 | 19 | 2021 |
| Financial fraud detection on micro-credit loan scenario via fuller location information embedding J Jiang, B Ni, C Wang Companion Proceedings of the Web Conference 2021, 238-246, 2021 | 18 | 2021 |
Yang YangZhejiang UniversityEmail verificata su zju.edu.cn
