| BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis W Li, W Shao, S Ji, E Cambria Neurocomputing 467, 73-82, 2022 | 257 | 2022 |
| Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey S Liu, W Shao, T Li, W Xu, L Song Digital Signal Processing 125, 103120, 2022 | 37 | 2022 |
| Chemical short-range ordering regulated dislocation cross slip in high-entropy alloys S Ma, J Zhang, B Xu, Y Xiong, W Shao, S Zhao Journal of Alloys and Compounds 911, 165144, 2022 | 29 | 2022 |
| Recranker: Instruction tuning large language model as ranker for top-k recommendation S Luo, B He, H Zhao, W Shao, Y Qi, Y Huang, A Zhou, Y Yao, Z Li, Y Xiao, ... ACM Transactions on Information Systems, 2024 | 23 | 2024 |
| A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings H Tan, W Shao, H Wu, K Yang, L Song ACL2022 Findings, 2022 | 21 | 2022 |
| SimCSE++: Improving contrastive learning for sentence embeddings from two perspectives J Xu, W Shao, L Chen, L Liu arXiv preprint arXiv:2305.13192, 2023 | 13 | 2023 |
| A pattern and POS auto-learning method for terminology extraction from scientific text W Shao, B Hua, L Song Data and Information Management 5 (3), 329-335, 2021 | 13 | 2021 |
| Clomo: Counterfactual logical modification with large language models Y Huang, R Hong, H Zhang, W Shao, Z Yang, D Yu, C Zhang, X Liang, ... arXiv preprint arXiv:2311.17438, 2023 | 5 | 2023 |
| BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. arXiv 2020 W Li, W Shao, S Ji, E Cambria arXiv preprint arXiv:2006.00492, 2006 | 5 | 2006 |
| Task-aware self-supervised framework for dialogue discourse parsing W Li, L Zhu, W Shao, Z Yang, E Cambria 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2023 | 4 | 2023 |
| DistillCSE: Distilled contrastive learning for sentence embeddings J Xu, W Shao, L Chen, L Liu arXiv preprint arXiv:2310.13499, 2023 | 3 | 2023 |
| Speech emotion recognition based on deep learning M Liu, Y Ke, Y Zhang, W Shao, L Song TENCON 2022-2022 IEEE Region 10 Conference (TENCON), 1-6, 2022 | 3 | 2022 |
| A Unsupervised Method for Terminology Extraction from Scientific Text. W Shao, B Hua, Q Ma, J Liu, H He, K Chen EEKE@ JCDL, 86-88, 2020 | 3 | 2020 |
| Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts H Tan, H Wu, W Shao, X Zhang, M Zhan, Z Hou, D Liang, L Song arXiv preprint arXiv:2305.07988, 2023 | 2 | 2023 |
| Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models S Wei, H Lei, L Shuqi, M Shihua, S Linqi International Joint Conference on Neural Network (IJCNN), 2022 | 2 | 2022 |
| Privacy in LLM-based Recommendation: Recent Advances and Future Directions S Luo, W Shao, Y Yao, J Xu, M Liu, Q Li, B He, M Wang, G Deng, H Hou, ... arXiv preprint arXiv:2406.01363, 2024 | 1 | 2024 |
| Metric learning based vision transformer for product matching L Huang, W Shao, F Wang, W Xie, KC Wong Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |
| DiffETM: Diffusion Process Enhanced Embedded Topic Model W Shao, M Liu, L Song arXiv preprint arXiv:2501.00862, 2025 | | 2025 |
| iResNetDM: An interpretable deep learning approach for four types of DNA methylation modification prediction Z Yang, W Shao, Y Matsuda, L Song Computational and Structural Biotechnology Journal 23, 4214-4221, 2024 | | 2024 |
| iResNetDM: interpretable and comprehensive deep learning model for 4 types of DNA modifications prediction Z Yang, W Shao, Y Matsuda, L Song bioRxiv, 2024.05. 19.594892, 2024 | | 2024 |