| Self-supervised representation learning on dynamic graphs S Tian, R Wu, L Shi, L Zhu, T Xiong Proceedings of the 30th ACM international conference on information …, 2021 | 38 | 2021 |
| Maskgae: Masked graph modeling meets graph autoencoders J Li, R Wu, W Sun, L Chen, S Tian, L Zhu, C Meng, Z Zheng, W Wang arXiv preprint arXiv:2205.10053 9, 13, 2022 | 26 | 2022 |
| What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders J Li, R Wu, W Sun, L Chen, S Tian, L Zhu, C Meng, Z Zheng, W Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 25 | 2023 |
| A generic solver combining unsupervised learning and representation learning for breaking text-based captchas S Tian, T Xiong Proceedings of The Web Conference 2020, 860-871, 2020 | 19 | 2020 |
| Scaling up dynamic graph representation learning via spiking neural networks J Li, Z Yu, Z Zhu, L Chen, Q Yu, Z Zheng, S Tian, R Wu, C Meng Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8588-8596, 2023 | 14 | 2023 |
| Streaming dynamic graph neural networks for continuous-time temporal graph modeling S Tian, T Xiong, L Shi 2021 IEEE International Conference on Data Mining (ICDM), 1361-1366, 2021 | 12 | 2021 |
| Sad: Semi-supervised anomaly detection on dynamic graphs S Tian, J Dong, J Li, W Zhao, X Xu, B Song, C Meng, T Zhang, L Chen arXiv preprint arXiv:2305.13573, 2023 | 8 | 2023 |
| Less can be more: Unsupervised graph pruning for large-scale dynamic graphs J Li, S Tian, R Wu, L Zhu, W Zhao, C Meng, L Chen, Z Zheng, H Yin arXiv preprint arXiv:2305.10673, 2023 | 6 | 2023 |
| Weighted correlation filters guidance with spatial-temporal attention for online multi-object tracking S Tian, L Zou, C Fan, L Chen Journal of Visual Communication and Image Representation 63, 102576, 2019 | 5 | 2019 |
| Towards learning to discover money laundering sub-network in massive transaction network Z Chai, Y Yang, J Dan, S Tian, C Meng, W Wang, Y Sun Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14153 …, 2023 | 4 | 2023 |
| Learning image block statistics and quality assessment losses for perceptual image super-resolution S Tian, L Zou, Y Yang, C Kong, Y Liu Journal of Electronic Imaging 28 (1), 013042-013042, 2019 | 2 | 2019 |
| Progressive back-projection networks for large-scale super-resolution Y Yang, C Fan, S Tian, Y Guo, L Liu, M Wu Journal of Electronic Imaging 28 (3), 033039-033039, 2019 | 1 | 2019 |
| LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning J Li, J Dan, R Wu, J Zhou, S Tian, Y Liu, B Wang, C Meng, W Wang, Y Zhu, ... arXiv preprint arXiv:2311.16605, 2023 | | 2023 |
