| 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 | 294 | 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 | 258 | 2016 |
| 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 | 77 | 2017 |
| 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 | 49 | 2010 |
| 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 | 45 | 2016 |
| 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 | 36 | 2020 |
| 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 | 36 | 2018 |
| 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 | 35 | 2020 |
| Hierarchical Pitman-Yor language models for ASR in meetings S Huang, S Renals 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 35 | 2007 |
| 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 | 26 | 2021 |
| Cross-language document summarization via extraction and ranking of multiple summaries X Wan, F Luo, X Sun, S Huang, J Yao Knowledge and Information Systems 58 (2), 481-499, 2019 | 26 | 2019 |
| 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 | 24 | 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 | 22 | 2020 |
| Noise-robust semi-supervised learning by large-scale sparse coding Z Lu, X Gao, L Wang, JR Wen, S Huang Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 19 | 2015 |
| 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 | 18 | 2021 |
| Unsupervised language model adaptation based on topic and role information in multiparty meetings S Huang, S Renals | 18 | 2008 |
| Improving biomedical pretrained language models with knowledge Z Yuan, Y Liu, C Tan, S Huang, F Huang arXiv preprint arXiv:2104.10344, 2021 | 17 | 2021 |
| Deep program structure modeling through multi-relational graph-based learning G Ye, Z Tang, H Wang, D Fang, J Fang, S Huang, Z Wang Proceedings of the ACM international conference on parallel architectures …, 2020 | 17 | 2020 |
| Enhancing freebase question answering using textual evidence K Xu, Y Feng, S Reddy, S Huang, D Zhao arXiv preprint arXiv:1603.00957, 2016 | 17 | 2016 |
| Question answering via phrasal semantic parsing K Xu, Y Feng, S Huang, D Zhao International conference of the cross-language evaluation forum for european …, 2015 | 17 | 2015 |
Yansong FengPeking UniversityVerified email at pku.edu.cn
