| A biterm topic model for short texts X Yan, J Guo, Y Lan, X Cheng Proceedings of the 22nd international conference on World Wide Web, 1445-1456, 2013 | 1443 | 2013 |
| On layer normalization in the transformer architecture R Xiong, Y Yang, D He, K Zheng, S Zheng, C Xing, H Zhang, Y Lan, ... International Conference on Machine Learning, 10524-10533, 2020 | 1033 | 2020 |
| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 836 | 2021 |
| Btm: Topic modeling over short texts X Cheng, X Yan, Y Lan, J Guo IEEE Transactions on Knowledge and Data Engineering 26 (12), 2928-2941, 2014 | 671 | 2014 |
| 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 | 637 | 2016 |
| Learning hierarchical representation model for nextbasket recommendation P Wang, J Guo, Y Lan, J Xu, S Wan, X Cheng Proceedings of the 38th International ACM SIGIR conference on Research and …, 2015 | 478 | 2015 |
| 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 | 427 | 2016 |
| Ranking measures and loss functions in learning to rank W Chen, TY Liu, Y Lan, ZM Ma, H Li Advances in Neural Information Processing Systems 22, 2009 | 282 | 2009 |
| 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 | 258 | 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 | 197 | 2016 |
| WenLan: Bridging vision and language by large-scale multi-modal pre-training Y Huo, M Zhang, G Liu, H Lu, Y Gao, G Yang, J Wen, H Zhang, B Xu, ... arXiv preprint arXiv:2103.06561, 2021 | 140 | 2021 |
| 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 | 134 | 2019 |
| 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 | 131 | 2020 |
| Reinforcement learning to rank with Markov decision process Z Wei, J Xu, Y Lan, J Guo, X Cheng Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 119 | 2017 |
| A probabilistic model for bursty topic discovery in microblogs X Yan, J Guo, Y Lan, J Xu, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 119 | 2015 |
| Learning for search result diversification Y Zhu, Y Lan, J Guo, X Cheng, S Niu Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 117 | 2014 |
| Modeling diverse relevance patterns in ad-hoc retrieval Y Fan, J Guo, Y Lan, J Xu, C Zhai, X Cheng The 41st international ACM SIGIR conference on research & development in …, 2018 | 114 | 2018 |
| Sparse word embeddings using l1 regularized online learning F Sun, J Guo, Y Lan, J Xu, X Cheng Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016 | 105 | 2016 |
| A study of matchpyramid models on ad-hoc retrieval L Pang, Y Lan, J Guo, J Xu, X Cheng arXiv preprint arXiv:1606.04648, 2016 | 99 | 2016 |
| Learning to control the specificity in neural response generation R Zhang, J Guo, Y Fan, Y Lan, J Xu, X Cheng Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 93 | 2018 |
Cheng XueqiChinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
