| A comprehensive capability analysis of gpt-3 and gpt-3.5 series models J Ye, X Chen, N Xu, C Zu, Z Shao, S Liu, Y Cui, Z Zhou, C Gong, Y Shen, ... arXiv preprint arXiv:2303.10420, 2023 | 303 | 2023 |
| Sk-gcn: Modeling syntax and knowledge via graph convolutional network for aspect-level sentiment classification J Zhou, JX Huang, QV Hu, L He Knowledge-Based Systems 205, 106292, 2020 | 212 | 2020 |
| Deep learning for aspect-level sentiment classification: survey, vision, and challenges J Zhou, JX Huang, Q Chen, QV Hu, T Wang, L He IEEE 7, 78454-78483, 2019 | 178 | 2019 |
| ChatGPT: potential, prospects, and limitations J Zhou, P Ke, X Qiu, M Huang, J Zhang Frontiers of Information Technology & Electronic Engineering, 1-6, 2023 | 149 | 2023 |
| Sentix: A sentiment-aware pre-trained model for cross-domain sentiment analysis J Zhou, J Tian, R Wang, Y Wu, W Xiao, L He Proceedings of the 28th International Conference on Computational …, 2020 | 105 | 2020 |
| Educhat: A large-scale language model-based chatbot system for intelligent education Y Dan, Z Lei, Y Gu, Y Li, J Yin, J Lin, L Ye, Z Tie, Y Zhou, Y Wang, A Zhou, ... CCKS 2024, 2023 | 96 | 2023 |
| MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis J Zhou, J Zhao, JX Huang, QV Hu, L He Neurocomputing 455, 47-58, 2021 | 67 | 2021 |
| Position-aware hierarchical transfer model for aspect-level sentiment classification J Zhou, Q Chen, JX Huang, QV Hu, L He Information Sciences 513, 1-16, 2020 | 58 | 2020 |
| How robust is gpt-3.5 to predecessors? a comprehensive study on language understanding tasks X Chen, J Ye, C Zu, N Xu, R Zheng, M Peng, J Zhou, T Gui, Q Zhang, ... arXiv preprint arXiv:2303.00293, 2023 | 49 | 2023 |
| Sentiment-aware multimodal pre-training for multimodal sentiment analysis J Ye, J Zhou, J Tian, R Wang, J Zhou, T Gui, Q Zhang, X Huang Knowledge-Based Systems 258, 110021, 2022 | 45 | 2022 |
| Melo: Enhancing model editing with neuron-indexed dynamic lora L Yu, Q Chen, J Zhou, L He Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19449 …, 2024 | 43 | 2024 |
| Llm-da: Data augmentation via large language models for few-shot named entity recognition J Ye, N Xu, Y Wang, J Zhou, Q Zhang, T Gui, X Huang arXiv preprint arXiv:2402.14568, 2024 | 37 | 2024 |
| Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis L Xiao, X Wu, S Yang, J Xu, J Zhou, L He Information Processing & Management 60 (6), 103508, 2023 | 34 | 2023 |
| CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction J Lin, Q Chen, J Zhou, J Jin, L He IJCAI, 4245-4251, 2022 | 28 | 2022 |
| Retrieval-polished response generation for chatbot L Zhang, Y Yang, J Zhou, C Chen, L He IEEE Access 8, 123882-123890, 2020 | 28 | 2020 |
| Is position important? deep multi-task learning for aspect-based sentiment analysis J Zhou, JX Huang, QV Hu, L He Applied Intelligence, 3367–3378, 2020 | 27 | 2020 |
| Causal Intervention Improves Implicit Sentiment Analysis S Wang, J Zhou, C Sun, J Ye, T Gui, Q Zhang, X Huang COLING 2022, 2022 | 24 | 2022 |
| PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification Q Bai, J Zhou, L He The Journal of Supercomputing 78 (3), 4073-4094, 2022 | 19 | 2022 |
| Mathematical language models: A survey W Liu, H Hu, J Zhou, Y Ding, J Li, J Zeng, M He, Q Chen, B Jiang, A Zhou, ... arXiv preprint arXiv:2312.07622, 2023 | 17 | 2023 |
| Knowledge-based fine-grained classification for few-shot learning J Zhao, X Lin, J Zhou, J Yang, L He, Z Yang 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 17 | 2020 |
Liang HeEast China Normal UniversityZweryfikowany adres z cs.ecnu.edu.cn