| Consensus graph representation learning for better grounded image captioning W Zhang, H Shi, S Tang, J Xiao, Q Yu, Y Zhuang Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3394-3402, 2021 | 42 | 2021 |
| Semi-supervised active learning for semi-supervised models: Exploit adversarial examples with graph-based virtual labels J Guo, H Shi, Y Kang, K Kuang, S Tang, Z Jiang, C Sun, F Wu, Y Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 36 | 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 |
| Magic: Multimodal relational graph adversarial inference for diverse and unpaired text-based image captioning W Zhang, H Shi, J Guo, S Zhang, Q Cai, J Li, S Luo, Y Zhuang Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3335-3343, 2022 | 30 | 2022 |
| Adaptive hierarchical graph reasoning with semantic coherence for video-and-language inference J Li, S Tang, L Zhu, H Shi, X Huang, F Wu, Y Yang, Y Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26 | 2021 |
| Empower distantly supervised relation extraction with collaborative adversarial training T Chen, H Shi, L Liu, S Tang, J Shao, Z Chen, Y Zhuang Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12675 …, 2021 | 13 | 2021 |
| Dilated context integrated network with cross-modal consensus for temporal emotion localization in videos J Li, J Xie, L Zhu, L Qian, S Tang, W Zhang, H Shi, S Zhang, L Wei, Q Tian, ... Proceedings of the 30th ACM International Conference on Multimedia, 5083-5092, 2022 | 8 | 2022 |
| Boss: Bottom-up cross-modal semantic composition with hybrid counterfactual training for robust content-based image retrieval W Zhang, J Guo, M Li, H Shi, S Zhang, J Li, S Tang, Y Zhuang arXiv preprint arXiv:2207.04211, 2022 | 8 | 2022 |
| Alleviate dataset shift problem in fine-grained entity typing with virtual adversarial training H Shi, S Tang, X Gu, B Chen, Z Chen, J Shao, X Ren Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 8 | 2021 |
| Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games D Wu, H Shi, Z Sun, B Liu arXiv preprint arXiv:2312.00746, 2023 | 3 | 2023 |
| OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following H Shi, Z Sun, X Yuan, MA Côté, B Liu Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | | 2024 |
| OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following H Shi, Z Sun, X Yuan, MA Côté, B Liu arXiv preprint arXiv:2403.03017, 2024 | | 2024 |
| Reasoning Makes Good Annotators: An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction Y Lu, J Li, X Wang, H Shi, T Chen, S Tang The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| The ZJU-EDL System for Entity Discovery and Linking at TAC KBP 2019. Y Hu, H Shi, T Chen, S Tang, Q Liu, Z Chen, X Ren, F Wu, Y Zhuang TAC, 2019 | | 2019 |
Siliang TangProfessor of Computer Science, Zhejiang UniversityPotvrđena adresa e-pošte na zju.edu.cn
