| Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks B Liang, H Su, L Gui, E Cambria, R Xu Knowledge-Based Systems 235, 107643, 2022 | 427 | 2022 |
| Jointly learning aspect-focused and inter-aspect relations with graph convolutional networks for aspect sentiment analysis B Liang, R Yin, L Gui, J Du, R Xu Proceedings of the 28th international conference on computational …, 2020 | 106 | 2020 |
| Multi-modal sarcasm detection via cross-modal graph convolutional network B Liang, C Lou, X Li, M Yang, L Gui, Y He, W Pei, R Xu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 103 | 2022 |
| Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs B Liang, C Lou, X Li, L Gui, M Yang, R Xu Proceedings of the 29th ACM international conference on multimedia, 4707-4715, 2021 | 80 | 2021 |
| Zero-shot stance detection via contrastive learning B Liang, Z Chen, L Gui, Y He, M Yang, R Xu WWW 2022, 2738-2747, 2022 | 77 | 2022 |
| Aspect-based sentiment analysis based on multi-attention CNN B Liang, Q Liu, J Xu, Q Zhou, P Zhang Journal of Computer Research and Development 54 (8), 1724-1735, 2017 | 72 | 2017 |
| Target-adaptive Graph for Cross-target Stance Detection B Liang, Y Fu, L Gui, M Yang, J Du, Y He, R Xu WWW 2021, 2021 | 70 | 2021 |
| Jointcl: A joint contrastive learning framework for zero-shot stance detection B Liang, Q Zhu, X Li, M Yang, L Gui, Y He, R Xu ACL 2022, 81-91, 2022 | 69 | 2022 |
| Affective Dependency Graph for Sarcasm Detection C Lou*, B Liang*, L Gui, Y He, Y Dang, R Xu SIGIR 2021, 2021 | 54 | 2021 |
| Context-aware embedding for targeted aspect-based sentiment analysis B Liang, J Du, R Xu, B Li, H Huang ACL 2019, 2019 | 50 | 2019 |
| Large-scale bandit approaches for recommender systems Q Zhou, XF Zhang, J Xu, B Liang ICONIP 2018, 2017 | 46 | 2017 |
| Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning B Liang, W Luo, X Li, L Gui, M Yang, X Yu, R Xu CIKM 2021, 2021 | 44 | 2021 |
| Modeling intra-and inter-modal relations: Hierarchical graph contrastive learning for multimodal sentiment analysis Z Lin, B Liang, Y Long, Y Dang, M Yang, M Zhang, R Xu COLING 2022 29 (1), 7124-7135, 2022 | 42 | 2022 |
| Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs W Hongru, R Wang, F Mi, Y Deng, W Zezhong, B Liang, R Xu, KF Wong The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 41* | 2023 |
| Few-shot aspect category sentiment analysis via meta-learning B Liang, X Li, L Gui, Y Fu, Y He, M Yang, R Xu ACM Transactions on Information Systems 41 (1), 1-31, 2023 | 36 | 2023 |
| Enhancing zero-shot stance detection via targeted background knowledge Q Zhu, B Liang, J Sun, J Du, L Zhou, R Xu Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 34 | 2022 |
| Chinese micro-blog sentiment analysis based on multi-channels convolutional neural networks K Chen, B Liang, W Ke, B Xu, GC Zeng J. Comput. Res. Dev 55 (5), 945-957, 2018 | 34 | 2018 |
| Boundary-driven table-filling for aspect sentiment triplet extraction Y Zhang, Y Yang, Y Li, B Liang, S Chen, Y Dang, M Yang, R Xu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 33 | 2022 |
| 基于多注意力卷积神经网络的特定目标情感分析 梁斌， 刘全， 徐进， 周倩， 章鹏 计算机研究与发展 54 (8), 1724-1735, 2017 | 32 | 2017 |
| Sentiment-emotion-and context-guided knowledge selection framework for emotion recognition in conversations G Tu, B Liang, D Jiang, R Xu IEEE Transactions on Affective Computing 14 (3), 1803-1816, 2022 | 29 | 2022 |
Ruifeng XuProfessor, Harbin Institute of Technology at ShenzhenVerified email at hit.edu.cn
