| Learning a few-shot embedding model with contrastive learning C Liu, Y Fu, C Xu, S Yang, J Li, C Wang, L Zhang Proceedings of the AAAI conference on artificial intelligence 35 (10), 8635-8643, 2021 | 137 | 2021 |
| Lass: Local-activity and social-similarity based data forwarding in mobile social networks Z Li, C Wang, S Yang, C Jiang, X Li IEEE Transactions on Parallel and Distributed Systems 26 (1), 174-184, 2014 | 67 | 2014 |
| Improving data forwarding in mobile social networks with infrastructure support: A space-crossing community approach Z Li, C Wang, S Yang, C Jiang, I Stojmenovic IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 1941-1949, 2014 | 20 | 2014 |
| Space-crossing: Community-based data forwarding in mobile social networks under the hybrid communication architecture Z Li, C Wang, S Yang, C Jiang, I Stojmenovic IEEE Transactions on Wireless Communications 14 (9), 4720-4727, 2015 | 15 | 2015 |
| Exploring efficient few-shot adaptation for vision transformers C Xu, S Yang, Y Wang, Z Wang, Y Fu, X Xue arXiv preprint arXiv:2301.02419, 2023 | 14 | 2023 |
| Centron: Cooperative neighbor discovery in mobile ad-hoc networks S Yang, C Wang, C Jiang Computer Networks 136, 128-136, 2018 | 14 | 2018 |
| tsf: Transformer-based semantic filter for few-shot learning J Lai, S Yang, W Liu, Y Zeng, Z Huang, W Wu, J Liu, BB Gao, C Wang European Conference on Computer Vision, 1-19, 2022 | 12 | 2022 |
| APP: augmented proactive perception for driving hazards with sparse GPS trace S Yang, C Wang, H Zhu, C Jiang Proceedings of the twentieth ACM international symposium on mobile Ad Hoc …, 2019 | 8 | 2019 |
| Passive neighbor discovery with social recognition for mobile ad hoc social networking applications H Ling, S Yang Wireless Networks 25, 4247-4258, 2019 | 7 | 2019 |
| iLogBook: Enabling text-searchable event query using sparse vehicle-mounted GPS data S Yang, C Wang, L Yang, C Jiang IEEE Transactions on Intelligent Transportation Systems 20 (12), 4328-4338, 2018 | 6 | 2018 |
| Patchmix augmentation to identify causal features in few-shot learning C Xu, C Liu, X Sun, S Yang, Y Wang, C Wang, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 5 | 2022 |
| SpatialFormer: semantic and target aware attentions for few-shot learning J Lai, S Yang, W Wu, T Wu, G Jiang, X Wang, J Liu, BB Gao, W Zhang, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8430-8437, 2023 | 4 | 2023 |
| ERUPT: A Role-based Neighbor Discovery Protocol for Mobile Social Applications. S Yang, Z Li, M Stojmenovic, C Wang, C Jiang Ad Hoc Sens. Wirel. Networks 24 (3-4), 265-281, 2015 | 3 | 2015 |
| Anole: An Adaptive Neighbor Discovery Under Urban Environments H Ling, S Yang IEEE Access 6, 64817-64827, 2018 | 2 | 2018 |
| Clustered-patch element connection for few-shot learning J Lai, S Yang, J Zhou, W Wu, X Chen, J Liu, BB Gao, C Wang arXiv preprint arXiv:2304.10093, 2023 | 1 | 2023 |
| Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective J Lai, S Yang, G Jiang, X Wang, Y Li, Z Jia, X Chen, J Liu, BB Gao, ... Proceedings of the 30th ACM International Conference on Multimedia, 4021-4030, 2022 | | 2022 |
| Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning C Xu, C Liu, S Yang, Y Wang, S Zhang, L Jia, Y Fu Proceedings of the 30th ACM International Conference on Multimedia, 2719-2729, 2022 | | 2022 |
| Wireless Vehicular Check-in Protocol at Urban Road Intersection S Yang, C Wang, C Jiang IEEE Access 6, 19948-19958, 2018 | | 2018 |
