| 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 | 1469 | 2013 |
| A deep relevance matching model for ad-hoc retrieval J Guo, Y Fan, Q Ai, WB Croft Proceedings of the 25th ACM international on conference on information and …, 2016 | 1024 | 2016 |
| 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 | 689 | 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 | 647 | 2016 |
| Named entity recognition in query J Guo, G Xu, X Cheng, H Li Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 549 | 2009 |
| 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 | 488 | 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 | 432 | 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 | 426 | 2020 |
| Survey on big data system and analytic technology XQ Cheng, XL Jin, Y Wang, J Guo, T Zhang, G Li Journal of software 25 (9), 1889-1908, 2014 | 407* | 2014 |
| Optimizing dense retrieval model training with hard negatives J Zhan, J Mao, Y Liu, J Guo, M Zhang, S Ma Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 298 | 2021 |
| Temporal knowledge graph reasoning based on evolutional representation learning Z Li, X Jin, W Li, S Guan, J Guo, H Shen, Y Wang, X Cheng Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 297 | 2021 |
| 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 | 261 | 2017 |
| Unbiased learning to rank with unbiased propensity estimation Q Ai, K Bi, C Luo, J Guo, WB Croft The 41st international ACM SIGIR conference on research & development in …, 2018 | 242 | 2018 |
| aNMM: Ranking short answer texts with attention-based neural matching model L Yang, Q Ai, J Guo, WB Croft Proceedings of the 25th ACM international on conference on information and …, 2016 | 238 | 2016 |
| Learning a deep listwise context model for ranking refinement Q Ai, K Bi, J Guo, WB Croft The 41st international ACM SIGIR conference on research & development in …, 2018 | 237 | 2018 |
| 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 |
| Response ranking with deep matching networks and external knowledge in information-seeking conversation systems L Yang, M Qiu, C Qu, J Guo, Y Zhang, WB Croft, J Huang, H Chen The 41st international acm sigir conference on research & development in …, 2018 | 167 | 2018 |
| Event detection with multi-order graph convolution and aggregated attention H Yan, X Jin, X Meng, J Guo, X Cheng Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 165 | 2019 |
| Learning topics in short texts by non-negative matrix factorization on term correlation matrix X Yan, J Guo, S Liu, X Cheng, Y Wang proceedings of the 2013 SIAM International Conference on Data Mining, 749-757, 2013 | 165 | 2013 |
| A unified and discriminative model for query refinement J Guo, G Xu, H Li, X Cheng Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 165 | 2008 |
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