| 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 | 6 | 2023 |
| Graph convolution over the semantic-syntactic hybrid graph enhanced by affective knowledge for aspect-level sentiment classification J Xu, S Yang, L Xiao, Z Fu, X Wu, T Ma, L He 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| Adaptive multi-feature extraction graph convolutional networks for multimodal target sentiment analysis L Xiao, E Zhou, X Wu, S Yang, T Ma, L He 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 3 | 2022 |
| Simple contrastive learning in a self-supervised manner for robust visual question answering S Yang, L Xiao, X Wu, J Xu, L Wang, L He Computer Vision and Image Understanding, 103976, 2024 | | 2024 |
| Debiased Visual Question Answering via the perspective of question types T Huai, S Yang, J Zhang, J Zhao, L He Pattern Recognition Letters 178, 181-187, 2024 | | 2024 |
| DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding A Wu, L Xiao, X Wu, S Yang, J Xu, Z Zhuang, N Xie, C Jin, L He Available at SSRN 4703693, 2023 | | 2023 |
| Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering S Yang, A Wu, X Wu, L Xiao, T Ma, C Jin, L He arXiv preprint arXiv:2310.09696, 2023 | | 2023 |
| SQT: Debiased Visual Question Answering via Shuffling Question Types T Huai, S Yang, J Zhang, G Wang, X Yu, T Ma, L He 2023 IEEE International Conference on Multimedia and Expo (ICME), 600-605, 2023 | | 2023 |
| 3D Clues Guided Convolution for Depth Completion S Yang, Z Fu, X Wu, X Du, T Ma, L He 2022 IEEE International Conference on Image Processing (ICIP), 2132-2136, 2022 | | 2022 |
| Depth Completion via A Dual-Fusion Method S Yang, L Xiao, J Zhang, Z Fu, T Ma, L He 2022 26th International Conference on Pattern Recognition (ICPR), 3686-3691, 2022 | | 2022 |
| The anomaly segmentation via dynamic branch fusion Z Liu, E Zhou, S Yang, Z Zhuang, T Ma 2021 IEEE International Conference on Big Data (Big Data), 3197-3202, 2021 | | 2021 |
