Image-text multimodal emotion classification via multi-view attentional network X Yang, S Feng, D Wang, Y Zhang IEEE Transactions on Multimedia 23, 4014-4026, 2020 | 188 | 2020 |
Multimodal sentiment detection based on multi-channel graph neural networks X Yang, S Feng, Y Zhang, D Wang ACL 2021, Proceedings of the 59th Annual Meeting of the Association for …, 2021 | 108 | 2021 |
Is mamba effective for time series forecasting? Z Wang, F Kong, S Feng, M Wang, X Yang, H Zhao, D Wang, Y Zhang Neurocomputing 619, 129178, 2025 | 41 | 2025 |
Consistency guided knowledge retrieval and denoising in llms for zero-shot document-level relation triplet extraction Q Sun, K Huang, X Yang, R Tong, K Zhang, S Poria Proceedings of the ACM Web Conference 2024, 4407-4416, 2024 | 28 | 2024 |
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts X Yang, S Feng, D Wang, P Hong, S Poria MM '23: Proceedings of the 31st ACM International Conference on Multimedia …, 2023 | 23 | 2023 |
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt X Yang, S Feng, D Wang, S Qi, W Wu, Y Zhang, P Hong, S Poria Findings of ACL 2023, The 61st Annual Meeting of the Association for …, 2023 | 18 | 2023 |
Mm-bigbench: Evaluating multimodal models on multimodal content comprehension tasks X Yang, W Wu, S Feng, M Wang, D Wang, Y Li, Q Sun, Y Zhang, X Fu, ... arXiv preprint arXiv:2310.09036, 2023 | 14 | 2023 |
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction Q Sun, K Huang, X Yang, P Hong, K Zhang, S Poria ACL 2023, The 61st Annual Meeting of the Association for Computational …, 2023 | 12 | 2023 |
Affective computing in the era of large language models: A survey from the nlp perspective Y Zhang, X Yang, X Xu, Z Gao, Y Huang, S Mu, S Feng, D Wang, Y Zhang, ... arXiv preprint arXiv:2408.04638, 2024 | 11 | 2024 |
SINN: A speaker influence aware neural network model for emotion detection in conversations S Feng, J Wei, D Wang, X Yang, Z Yang, Y Zhang, G Yu World Wide Web 24, 2019-2048, 2021 | 5 | 2021 |
Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate Y Zhang, X Yang, S Feng, D Wang, Y Zhang, K Song arXiv preprint arXiv:2408.04472, 2024 | 3 | 2024 |
MM-InstructEval: Zero-Shot Evaluation of (Multimodal) Large Language Models on Multimodal Reasoning Tasks X Yang, W Wu, S Feng, M Wang, D Wang, Y Li, Q Sun, Y Zhang, X Fu, ... arXiv preprint arXiv:2405.07229, 2024 | 3 | 2024 |
Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts M Wang, Y Liu, X Liang, Y Huang, D Wang, X Yang, S Shen, S Feng, ... arXiv preprint arXiv:2409.13449, 2024 | 2 | 2024 |
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering X Zhang, M Wang, X Yang, D Wang, S Feng, Y Zhang arXiv preprint arXiv:2408.11875, 2024 | 2 | 2024 |
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph F Lu, X Yang, Q Li, Q Sun, K Jiang, C Ji, J Li Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
Pixel-Level Reasoning Segmentation via Multi-turn Conversations D Cai, X Yang, Y Liu, D Wang, S Feng, Y Zhang, S Poria arXiv preprint arXiv:2502.09447, 2025 | | 2025 |
Muse: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles Z Wang, X Yang, Y Liu, S Feng, D Wang, Y Zhang arXiv preprint arXiv:2412.18416, 2024 | | 2024 |
PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children Y Zhang, X Yang, X Li, S Yu, Y Luan, S Feng, D Wang, Y Zhang arXiv preprint arXiv:2412.14769, 2024 | | 2024 |
Language Models as Continuous Self-Evolving Data Engineers P Wang, M Wang, Z Ma, X Yang, S Feng, D Wang, Y Zhang arXiv preprint arXiv:2412.15151, 2024 | | 2024 |
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM H Cao, Y Zhang, S Feng, X Yang, D Wang, Y Zhang arXiv preprint arXiv:2412.03096, 2024 | | 2024 |