| Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification S Hu, N Ding, H Wang, Z Liu, J Li, M Sun ACL2022, 2021 | 308 | 2021 |
| An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization SMH Bamakan, H Wang, T Yingjie, Y Shi Neurocomputing 199, 90-102, 2016 | 252 | 2016 |
| Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem SMH Bamakan, H Wang, Y Shi Knowledge-Based Systems 126, 113-126, 2017 | 154 | 2017 |
| On transferability of prompt tuning for natural language processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... NAACL2022, 2021 | 118 | 2021 |
| Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems Y Tian, M Mirzabagheri, SMH Bamakan, H Wang, Q Qu Neurocomputing 310, 223-235, 2018 | 106 | 2018 |
| WebCPM: Interactive Web Search for Chinese Long-form Question Answering Y Qin, Z Cai, D Jin, L Yan, S Liang, K Zhu, Y Lin, X Han, N Ding, H Wang, ... ACL2023, 2023 | 42 | 2023 |
| Nonparallel support vector ordinal regression H Wang, Y Shi, L Niu, Y Tian IEEE Transactions on Cybernetics 47 (10), 3306-3317, 2017 | 34 | 2017 |
| Token-level dynamic self-attention network for multi-passage reading comprehension Y Zhuang, H Wang ACL2019, 2252-2262, 2019 | 33 | 2019 |
| Parameters optimization for nonparallel support vector machine by particle swarm optimization SMH Bamakan, H Wang, AZ Ravasan Procedia Computer Science 91, 482-491, 2016 | 23 | 2016 |
| Land Use and Land Cover Mapping in China Using Multi-modal Fine-grained Dual Network S Liu, H Wang, Y Hu, M Zhang, Y Zhu, Z Wang, D Li, M Yang, F Wang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 12 | 2023 |
| CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark Y Yao, Q Dong, J Guan, B Cao, Z Zhang, C Xiao, X Wang, F Qi, J Bao, ... arXiv preprint arXiv:2112.13610, 2021 | 12 | 2021 |
| An approach to fuzzy multiple linear regression model based on the structural element theory H Wang, S Guo, L Yue Systems Engineering-Theory & Practice 34 (10), 26-28, 2014 | 12 | 2014 |
| Won't Get Fooled Again: Answering Questions with False Premises S Hu, Y Luo, H Wang, X Cheng, Z Liu, M Sun ACL2023 (Oral), 2023 | 10 | 2023 |
| Improved factor analysis algorithm in factor spaces HD Wang, Y Shi, PZ Wang, HT Liu Informatics, Networking and Intelligent Computing: Proceedings of the 2014 …, 2015 | 10 | 2015 |
| Plug-and-Play Knowledge Injection for Pre-trained Language Models Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun ... ACL2023, 2023 | 9* | 2023 |
| Enhancing Attention Models via Multi-head Collaboration H Wang, M Tu 2020 International Conference on Asian Language Processing (IALP), 19-23, 2020 | 8 | 2020 |
| Evaluating Doctor Performance: Ordinal Regression-Based Approach Y Shi, P Li, X Yu, H Wang, L Niu Journal of medical Internet research 20 (7), e240, 2018 | 8 | 2018 |
| Exploring Format Consistency for Instruction Tuning S Liang, K Zhu, R Tian, Y Qin, H Wang, X Cong, Z Liu, X Liu, M Sun Transactions on Machine Learning Research (TMLR), 2023 | 7 | 2023 |
| ProAgent: From Robotic Process Automation to Agentic Process Automation Y Ye, X Cong, S Tian, J Cao, H Wang, Y Qin, Y Lu, H Yu, H Wang, Y Lin, ... arXiv preprint arXiv:2311.10751, 2023 | 5 | 2023 |
| Recyclable Tuning for Continual Pre-training Y Qin, C Qian, X Han, Y Lin, H Wang, R Xie, Z Liu, M Sun, J Zhou Findings of ACL2023, 2023 | 5 | 2023 |
Yong ShiProfessor, University of Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
