| A survey of human-in-the-loop for machine learning X Wu, L Xiao, Y Sun, J Zhang, T Ma, L He Future Generation Computer Systems (Editor’s Choice Papers), 2022 | 390 | 2022 |
| Exploring fine-grained syntactic information for aspect-based sentiment classification with dual graph neural networks L Xiao, Y Xue, H Wang, X Hu, D Gu, Y Zhu Neurocomputing 471, 48-59, 2022 | 54 | 2022 |
| Targeted sentiment classification based on attentional encoding and graph convolutional networks L Xiao, X Hu, Y Chen, Y Xue, D Gu, B Chen, T Zhang Applied Sciences 10 (3), 957, 2020 | 38 | 2020 |
| Targeted aspect-based multimodal sentiment analysis: An attention capsule extraction and multi-head fusion network D Gu, J Wang, S Cai, C Yang, Z Song, H Zhao, L Xiao, H Wang IEEE Access 9, 157329-157336, 2021 | 27 | 2021 |
| Multi-head self-attention based gated graph convolutional networks for aspect-based sentiment classification L Xiao, X Hu, Y Chen, Y Xue, B Chen, D Gu, B Tang Multimedia Tools and Applications, 1-20, 2022 | 22 | 2022 |
| Electroencephalogram access for emotion recognition based on a deep hybrid network Q Zhong, Y Zhu, D Cai, L Xiao, H Zhang Frontiers in Human Neuroscience 14, 589001, 2020 | 19 | 2020 |
| Multi-channel attentive graph convolutional network with sentiment fusion for multimodal sentiment analysis L Xiao, X Wu, W Wu, J Yang, L He ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 15 | 2022 |
| Bayesian estimation‐based sentiment word embedding model for sentiment analysis J Tang, Y Xue, Z Wang, S Hu, T Gong, Y Chen, H Zhao, L Xiao CAAI Transactions on Intelligence Technology 7 (2), 144-155, 2022 | 13 | 2022 |
| Occlusion face detection technology based on facial physiology Z Guo, W Zhou, L Xiao, X Hu, Z Zhang, Z Hong 2018 14th International Conference on Computational Intelligence and …, 2018 | 12 | 2018 |
| Aspect-based sentiment analysis using graph convolutional networks and co-attention mechanism Z Chen, Y Xue, L Xiao, J Chen, H Zhang Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 10 | 2021 |
| 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 |
| Modeling inter-aspect relationship with conjunction for aspect-based sentiment analysis H Zhao, Y Xue, D Gu, J Chen, L Xiao Pacific-Asia Conference on Knowledge Discovery and Data Mining, 756-767, 2021 | 4 | 2021 |
| 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 |
| Aspect-level sentiment analysis with local semantic and global syntactic features integration Y Liu, L Xiao, YC Huang, Y Xue, X Hu, H Zhao, Y Li International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 2 | 2022 |
| Cross-domain document layout analysis using document style guide X Wu, L Xiao, X Du, Y Zheng, X Li, T Ma, C Jin, L He Expert Systems with Applications 245, 123039, 2024 | 1* | 2024 |
| 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 |
| Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis L Xiao, X Wu, J Xu, W Li, C Jin, L He Information Fusion, 102304, 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 |
Xingjiao WuFudan UniversityVerified email at fudan.edu.cn
