| 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 | 81 | 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 | 64 | 2021 |
| 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 | 57 | 2024 |
| Graph retrieval-augmented generation: A survey B Peng, Y Zhu, Y Liu, X Bo, H Shi, C Hong, Y Zhang, S Tang arXiv preprint arXiv:2408.08921, 2024 | 44 | 2024 |
| 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 | 35 | 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 | 30 | 2019 |
| 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 | 24 | 2023 |
| 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 | 20 | 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 | 18 | 2023 |
| 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 | 16 | 2020 |
| 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 | 14 | 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 | 14* | 2021 |
| 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 | 12* | 2021 |
| 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, ... Annual Conference of the Nations of the Americas Chapter of the Association …, 2024 | 11 | 2024 |
| 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 | 9 | 2023 |
| BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Y Wang, H Shi, L Han, D Metaxas, H Wang Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024 | 4 | 2024 |
| Graphclip: Enhancing transferability in graph foundation models for text-attributed graphs Y Zhu, H Shi, X Wang, Y Liu, Y Wang, B Peng, C Hong, S Tang International World Wide Web Conference (WWW), 2025, 2024 | 3 | 2024 |
| Training-Free Bayesianization for Low-Rank Adapters of Large Language Models H Shi, Y Wang, L Han, H Zhang, H Wang arXiv preprint arXiv:2412.05723, 2024 | 1 | 2024 |
| The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering Z Li, H Shi, Y Gao, D Liu, Z Wang, Y Chen, T Liu, L Zhao, H Wang, ... arXiv preprint arXiv:2502.03628, 2025 | | 2025 |
| Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation X He, H Shi, L Han, C Tan, B Liu, Z Xu, M Ye, L Axel, K Li, D Metaxas IEEE International Symposium on Biomedical Imaging (ISBI), 2025, 2025 | | 2025 |
Siliang TangProfessor of Computer Science, Zhejiang UniversityE-mailová adresa ověřena na: zju.edu.cn
