| Unsupervised reinforcement learning of transferable meta-skills for embodied navigation J Li, X Wang, S Tang, H Shi, F Wu, Y Zhuang, WY Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 76 | 2020 |
| CIL: Contrastive instance learning framework for distantly supervised relation extraction T Chen, H Shi, S Tang, Z Chen, F Wu, Y Zhuang Annual Meeting of the Association for Computational Linguistics (ACL), 2021, 2021 | 54 | 2021 |
| Relational graph learning for grounded video description generation W Zhang, XE Wang, S Tang, H Shi, H Shi, J Xiao, Y Zhuang, WY Wang Proceedings of the 28th ACM International Conference on Multimedia, 3807-3828, 2020 | 31 | 2020 |
| Informative visual storytelling with cross-modal rules J Li, H Shi, S Tang, F Wu, Y Zhuang Proceedings of the 27th ACM International Conference on Multimedia, 2314-2322, 2019 | 27 | 2019 |
| Continual learning of large language models: A comprehensive survey H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang, Z Wang, S Ebrahimi, ... arXiv preprint arXiv:2404.16789, 2024 | 14 | 2024 |
| On the efficacy of small self-supervised contrastive models without distillation signals H Shi, Y Zhang, S Tang, W Zhu, Y Li, Y Guo, Y Zhuang Proceedings of the AAAI conference on artificial intelligence 36 (2), 2225-2234, 2022 | 12 | 2022 |
| Towards communication-efficient and privacy-preserving federated representation learning H Shi, Y Zhang, Z Shen, S Tang, Y Li, Y Guo, Y Zhuang International Workshop on Trustable, Verifiable and Auditable Federated …, 2021 | 12* | 2021 |
| Run away from your teacher: Understanding byol by a novel self-supervised approach H Shi, D Luo, S Tang, J Wang, Y Zhuang arXiv preprint arXiv:2011.10944, 2020 | 12 | 2020 |
| Revisiting catastrophic forgetting in class incremental learning Z Ni, H Shi, S Tang, L Wei, Q Tian, Y Zhuang arXiv preprint arXiv:2107.12308, 2021 | 10* | 2021 |
| Efficient Tuning and Inference for Large Language Models on Textual Graphs Y Zhu, Y Wang, H Shi, S Tang International Joint Conference on Artificial Intelligence (IJCAI), 2024, 2024 | 6 | 2024 |
| GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Y Zhu, Y Wang, H Shi, Z Zhang, S Tang International World Wide Web Conference (WWW), 2024, 2023 | 6 | 2023 |
| A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm H Shi, H Wang Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023 | 5 | 2023 |
| MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Y Zhu, H Shi, Z Zhang, S Tang International World Wide Web Conference (WWW), 2024, 2023 | 4 | 2023 |
| Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models H Wang, H Shi, S Tan, W Qin, W Wang, T Zhang, A Nambi, T Ganu, ... arXiv preprint arXiv:2406.11230, 2024 | 1 | 2024 |
| Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework Z Zhang, Y Zhu, H Shi, S Tang European Conference on Artificial Intelligence (ECAI), 2023, 2023 | 1 | 2023 |
| UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks X Wang, Y Zhu, H Shi, Y Liu, C Hong arXiv preprint arXiv:2407.19420, 2024 | | 2024 |
| BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Y Wang, H Shi, L Han, D Metaxas, H Wang arXiv preprint arXiv:2406.11675, 2024 | | 2024 |
Siliang TangProfessor of Computer Science, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
