Modeling both Context-and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. D Zhang, L Wu, C Sun, S Li, Q Zhu, G Zhou IJCAI, 5415-5421, 2019 | 218 | 2019 |
Multi-modal graph fusion for named entity recognition with targeted visual guidance D Zhang, S Wei, S Li, H Wu, Q Zhu, G Zhou Proceedings of the AAAI conference on artificial intelligence 35 (16), 14347 …, 2021 | 168 | 2021 |
Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection X Ju, D Zhang, R Xiao, J Li, S Li, M Zhang, G Zhou Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 91 | 2021 |
Transformer-based label set generation for multi-modal multi-label emotion detection X Ju, D Zhang, J Li, G Zhou Proceedings of the 28th ACM international conference on multimedia, 512-520, 2020 | 55 | 2020 |
Multi-modal multi-label emotion recognition with heterogeneous hierarchical message passing D Zhang, X Ju, W Zhang, J Li, S Li, Q Zhu, G Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14338 …, 2021 | 43 | 2021 |
Multi-modal multi-label emotion detection with modality and label dependence D Zhang, X Ju, J Li, S Li, Q Zhu, G Zhou Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 42 | 2020 |
Modeling both intra-and inter-modal influence for real-time emotion detection in conversations D Zhang, W Zhang, S Li, Q Zhu, G Zhou Proceedings of the 28th ACM International Conference on Multimedia, 503-511, 2020 | 30 | 2020 |
Effective sentiment-relevant word selection for multi-modal sentiment analysis in spoken language D Zhang, S Li, Q Zhu, G Zhou Proceedings of the 27th ACM international conference on multimedia, 148-156, 2019 | 27 | 2019 |
User classification with multiple textual perspectives D Zhang, S Li, H Wang, G Zhou Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 24 | 2016 |
Unified multi-modal pre-training for few-shot sentiment analysis with prompt-based learning Y Yu, D Zhang, S Li Proceedings of the 30th ACM International Conference on Multimedia, 189-198, 2022 | 23 | 2022 |
Multi-modal sentiment classification with independent and interactive knowledge via semi-supervised learning D Zhang, S Li, Q Zhu, G Zhou IEEE Access 8, 22945-22954, 2020 | 22 | 2020 |
Modeling the clause-level structure to multimodal sentiment analysis via reinforcement learning D Zhang, S Li, Q Zhu, G Zhou 2019 IEEE International Conference on Multimedia and Expo (ICME), 730-735, 2019 | 19 | 2019 |
Few-shot multi-modal sentiment analysis with prompt-based vision-aware language modeling Y Yu, D Zhang 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 18 | 2022 |
Two-view label propagation to semi-supervised reader emotion classification S Li, J Xu, D Zhang, G Zhou Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 18 | 2016 |
Multi-modal language analysis with hierarchical interaction-level and selection-level attentions D Zhang, L Wu, S Li, Q Zhu, G Zhou 2019 IEEE International Conference on Multimedia and Expo (ICME), 724-729, 2019 | 13 | 2019 |
Speaker personality recognition with multimodal explicit many2many interactions L Wu, D Zhang, Q Liu, S Li, G Zhou 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 10 | 2020 |
Many vs. many query matching with hierarchical bert and transformer Y Xu, Q Liu, D Zhang, S Li, G Zhou Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 5 | 2019 |
Semi-supervised question classification with jointly learning question and answer representations D Zhang, S Li, J Wang Journal of Chinese Information Processing 31, 1-7, 2017 | 4 | 2017 |
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection Y Liu, T Shen, D Zhang, Q Sun, S Li, G Zhou Proceedings of the 2024 International Conference on Multimedia Retrieval …, 2024 | 3 | 2024 |
A benchmark for hierarchical emotion cause extraction in spoken dialogues H Ping, D Zhang, S Zhu, J Li, G Zhou IEEE Signal Processing Letters 30, 558-562, 2023 | 3 | 2023 |