| Text matching as image recognition L Pang, Y Lan, J Guo, J Xu, S Wan, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 547 | 2016 |
| A deep architecture for semantic matching with multiple positional sentence representations S Wan, Y Lan, J Guo, J Xu, L Pang, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 362 | 2016 |
| A deep look into neural ranking models for information retrieval J Guo, Y Fan, L Pang, L Yang, Q Ai, H Zamani, C Wu, WB Croft, X Cheng Information Processing & Management 57 (6), 102067, 2020 | 259 | 2020 |
| Deeprank: A new deep architecture for relevance ranking in information retrieval L Pang, Y Lan, J Guo, J Xu, J Xu, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 215 | 2017 |
| Match-srnn: Modeling the recursive matching structure with spatial rnn S Wan, Y Lan, J Xu, J Guo, L Pang, X Cheng arXiv preprint arXiv:1604.04378, 2016 | 172 | 2016 |
| Recosa: Detecting the relevant contexts with self-attention for multi-turn dialogue generation H Zhang, Y Lan, L Pang, J Guo, X Cheng arXiv preprint arXiv:1907.05339, 2019 | 105 | 2019 |
| A Study of MatchPyramid Models on Ad-hoc Retrieval. L Pang, Y Lan, J Guo, J Xu, X Cheng Neu-IR '16 SIGIR Workshop on Neural Information Retrieval, 2016 | 88 | 2016 |
| Beyond factoid QA: effective methods for non-factoid answer sentence retrieval L Yang, Q Ai, D Spina, RC Chen, L Pang, WB Croft, J Guo, F Scholer Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 81 | 2016 |
| Setrank: Learning a permutation-invariant ranking model for information retrieval L Pang, J Xu, Q Ai, Y Lan, X Cheng, J Wen Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 61 | 2020 |
| Matchzoo: A toolkit for deep text matching Y Fan, L Pang, JP Hou, J Guo, Y Lan, X Cheng arXiv preprint arXiv:1707.07270, 2017 | 57 | 2017 |
| Has-qa: Hierarchical answer spans model for open-domain question answering L Pang, Y Lan, J Guo, J Xu, L Su, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6875-6882, 2019 | 32 | 2019 |
| Modeling topical relevance for multi-turn dialogue generation H Zhang, Y Lan, L Pang, H Chen, Z Ding, D Yin arXiv preprint arXiv:2009.12735, 2020 | 23 | 2020 |
| A deep investigation of deep IR models L Pang, Y Lan, J Guo, J Xu, X Cheng arXiv preprint arXiv:1707.07700, 2017 | 23 | 2017 |
| A survey on deep text matching L Pang, YY Lan, J Xu, JF Guo, SX Wan, XQ Cheng Chinese Journal of Computers 40 (4), 985-1003, 2017 | 21 | 2017 |
| Perception granular computing in visual haze-free task H Hu, L Pang, D Tian, Z Shi Expert systems with applications 41 (6), 2729-2741, 2014 | 21 | 2014 |
| Adaptive information seeking for open-domain question answering Y Zhu, L Pang, Y Lan, H Shen, X Cheng arXiv preprint arXiv:2109.06747, 2021 | 17 | 2021 |
| Image matting in the perception granular deep learning H Hu, L Pang, Z Shi Knowledge-Based Systems 102, 51-63, 2016 | 17 | 2016 |
| Continual match based training in Pommerman: Technical report P Peng, L Pang, Y Yuan, C Gao arXiv preprint arXiv:1812.07297, 2018 | 14 | 2018 |
| 深度文本匹配综述 庞亮， 兰艳艳， 徐君， 郭嘉丰， 万圣贤， 程学旗 计算机学报 40 (4), 985-1003, 2017 | 14 | 2017 |
| Large scale purchase prediction with historical user actions on B2C online retail platform Y Zhang, L Pang, L Shi, B Wang arXiv preprint arXiv:1408.6515, 2014 | 14 | 2014 |
Yanyan LanTsinghua Universitytsinghua.edu.cn의 이메일 확인됨
