| On deep learning for trust-aware recommendations in social networks S Deng, L Huang, G Xu, X Wu, Z Wu IEEE transactions on neural networks and learning systems 28 (5), 1164-1177, 2016 | 358 | 2016 |
| Computation offloading for service workflow in mobile cloud computing S Deng, L Huang, J Taheri, AY Zomaya IEEE transactions on parallel and distributed systems 26 (12), 3317-3329, 2014 | 335 | 2014 |
| Social network-based service recommendation with trust enhancement S Deng, L Huang, G Xu Expert Systems with Applications 41 (18), 8075-8084, 2014 | 221 | 2014 |
| Spanmlt: A span-based multi-task learning framework for pair-wise aspect and opinion terms extraction H Zhao, L Huang, R Zhang, Q Lu, H Xue Proceedings of the 58th annual meeting of the association for computational …, 2020 | 186 | 2020 |
| Mobility-aware service composition in mobile communities S Deng, L Huang, J Taheri, J Yin, MC Zhou, AY Zomaya IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (3), 555-568, 2016 | 128 | 2016 |
| Prototypical verbalizer for prompt-based few-shot tuning G Cui, S Hu, N Ding, L Huang, Z Liu arXiv preprint arXiv:2203.09770, 2022 | 105 | 2022 |
| Supervised prototypical contrastive learning for emotion recognition in conversation X Song, L Huang, H Xue, S Hu arXiv preprint arXiv:2210.08713, 2022 | 89 | 2022 |
| Mobility-enabled service selection for composite services S Deng, L Huang, D Hu, JL Zhao, Z Wu IEEE Transactions on Services Computing 9 (3), 394-407, 2014 | 85 | 2014 |
| Kr-gcn: Knowledge-aware reasoning with graph convolution network for explainable recommendation T Ma, L Huang, Q Lu, S Hu ACM Transactions on Information Systems 41 (1), 1-27, 2023 | 84 | 2023 |
| Top- Automatic Service Composition: A Parallel Method for Large-Scale Service Sets S Deng, L Huang, W Tan, Z Wu IEEE Transactions on Automation Science and Engineering 11 (3), 891-905, 2014 | 73 | 2014 |
| SAM-Net: Integrating event-level and chain-level attentions to predict what happens next S Lv, W Qian, L Huang, J Han, S Hu Proceedings of the AAAI conference on artificial intelligence 33 (01), 6802-6809, 2019 | 57 | 2019 |
| Trust-based personalized service recommendation: A network perspective SG Deng, LT Huang, J Wu, ZH Wu Journal of computer science and technology 29 (1), 69-80, 2014 | 57 | 2014 |
| Emotionflow: Capture the dialogue level emotion transitions X Song, L Zang, R Zhang, S Hu, L Huang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 56 | 2022 |
| Toward mobile service computing: Opportunities and challenges S Deng, L Huang, H Wu, W Tan, J Taheri, AY Zomaya, Z Wu IEEE Cloud Computing 3 (4), 32-41, 2016 | 49 | 2016 |
| Large language models can be lazy learners: Analyze shortcuts in in-context learning R Tang, D Kong, L Huang, H Xue arXiv preprint arXiv:2305.17256, 2023 | 48 | 2023 |
| Constraints-driven service composition in mobile cloud computing S Deng, L Huang, H Wu, Z Wu 2016 IEEE International Conference on Web Services (ICWS), 228-235, 2016 | 44 | 2016 |
| Web 服务组合技术框架及其研究进展 邓水光， 黄龙涛， 尹建伟， 李莹， 吴健 计算机集成制造系统 17 (002), 404-412, 2011 | 43* | 2011 |
| Why should adversarial perturbations be imperceptible? rethink the research paradigm in adversarial nlp Y Chen, H Gao, G Cui, F Qi, L Huang, Z Liu, M Sun arXiv preprint arXiv:2210.10683, 2022 | 42 | 2022 |
| A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. Y Zhou, L Huang, T Guo, J Han, S Hu IJCAI, 5485-5491, 2019 | 35 | 2019 |
| Toward risk reduction for mobile service composition S Deng, L Huang, Y Li, H Zhou, Z Wu, X Cao, MY Kataev, L Li IEEE transactions on cybernetics 46 (8), 1807-1816, 2015 | 32 | 2015 |
Shuiguang DENGProfessor of Computer Science and Technology, Zhejiang University在 zju.edu.cn 的电子邮件经过验证