| Semantic relation classification via convolutional neural networks with simple negative sampling K Xu, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1506.07650, 2015 | 348 | 2015 |
| Question answering on freebase via relation extraction and textual evidence K Xu, S Reddy, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1603.00957, 2016 | 339 | 2016 |
| Combining graph-based learning with automated data collection for code vulnerability detection H Wang, G Ye, Z Tang, SH Tan, S Huang, D Fang, Y Feng, L Bian, ... IEEE Transactions on Information Forensics and Security 16, 1943-1958, 2020 | 148 | 2020 |
| Raise a child in large language model: Towards effective and generalizable fine-tuning R Xu, F Luo, Z Zhang, C Tan, B Chang, S Huang, F Huang arXiv preprint arXiv:2109.05687, 2021 | 95 | 2021 |
| Learning with noise: Enhance distantly supervised relation extraction with dynamic transition matrix B Luo, Y Feng, Z Wang, Z Zhu, S Huang, R Yan, D Zhao arXiv preprint arXiv:1705.03995, 2017 | 92 | 2017 |
| E2E-VLP: end-to-end vision-language pre-training enhanced by visual learning H Xu, M Yan, C Li, B Bi, S Huang, W Xiao, F Huang arXiv preprint arXiv:2106.01804, 2021 | 87 | 2021 |
| Biomedical question answering: a survey of approaches and challenges Q Jin, Z Yuan, G Xiong, Q Yu, H Ying, C Tan, M Chen, S Huang, X Liu, ... ACM Computing Surveys (CSUR) 55 (2), 1-36, 2022 | 86* | 2022 |
| StructuralLM: Structural pre-training for form understanding LS Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang Proceedings of the 59th Annual Meeting of the Association for Computational …, 0 | 86* | |
| MELR: Meta-learning via modeling episode-level relationships for few-shot learning N Fei, Z Lu, T Xiang, S Huang International Conference on Learning Representations, 2020 | 85 | 2020 |
| IEPT: Instance-level and episode-level pretext tasks for few-shot learning M Zhang, J Zhang, Z Lu, T Xiang, M Ding, S Huang International conference on learning representations, 2020 | 81 | 2020 |
| Improving biomedical pretrained language models with knowledge Z Yuan, Y Liu, C Tan, S Huang, F Huang arXiv preprint arXiv:2104.10344, 2021 | 77 | 2021 |
| Hybrid question answering over knowledge base and free text K Xu, Y Feng, S Huang, D Zhao Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 60 | 2016 |
| Palm: Pre-training an autoencoding&autoregressive language model for context-conditioned generation B Bi, C Li, C Wu, M Yan, W Wang, S Huang, F Huang, L Si arXiv preprint arXiv:2004.07159, 2020 | 58 | 2020 |
| Hierarchical Bayesian language models for conversational speech recognition S Huang, S Renals IEEE Transactions on Audio, Speech, and Language Processing 18 (8), 1941-1954, 2010 | 54 | 2010 |
| Veco: Variable encoder-decoder pre-training for cross-lingual understanding and generation F Luo, W Wang, J Liu, Y Liu, B Bi, S Huang, F Huang, L Si Proceedings of the 59th ACL, 2020 | 52* | 2020 |
| Rrhf: Rank responses to align language models with human feedback without tears Z Yuan, H Yuan, C Tan, W Wang, S Huang, F Huang arXiv preprint arXiv:2304.05302, 2023 | 50 | 2023 |
| Noisy-labeled NER with confidence estimation K Liu, Y Fu, C Tan, M Chen, N Zhang, S Huang, S Gao arXiv preprint arXiv:2104.04318, 2021 | 50 | 2021 |
| Automated conformance testing for javascript engines via deep compiler fuzzing G Ye, Z Tang, SH Tan, S Huang, D Fang, X Sun, L Bian, H Wang, Z Wang Proceedings of the 42nd ACM SIGPLAN international conference on programming …, 2021 | 49 | 2021 |
| Marrying up regular expressions with neural networks: A case study for spoken language understanding B Luo, Y Feng, Z Wang, S Huang, R Yan, D Zhao arXiv preprint arXiv:1805.05588, 2018 | 49 | 2018 |
| mplug: Effective and efficient vision-language learning by cross-modal skip-connections C Li, H Xu, J Tian, W Wang, M Yan, B Bi, J Ye, H Chen, G Xu, Z Cao, ... arXiv preprint arXiv:2205.12005, 2022 | 43 | 2022 |
Yansong FengPeking UniversityVerified email at pku.edu.cn
