| 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 |
| 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 |
| Semantic models for the first-stage retrieval: A comprehensive review J Guo, Y Cai, Y Fan, F Sun, R Zhang, X Cheng ACM Transactions on Information Systems (TOIS) 40 (4), 1-42, 2022 | 138 | 2022 |
| 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 |
| Prop: Pre-training with representative words prediction for ad-hoc retrieval X Ma, J Guo, R Zhang, Y Fan, X Ji, X Cheng Proceedings of the 14th ACM international conference on web search and data …, 2021 | 109 | 2021 |
| A review on question generation from natural language text R Zhang, J Guo, L Chen, Y Fan, X Cheng ACM Transactions on Information Systems (TOIS) 40 (1), 1-43, 2021 | 106 | 2021 |
| Pre-training methods in information retrieval Y Fan, X Xie, Y Cai, J Chen, X Ma, X Li, R Zhang, J Guo Foundations and Trends® in Information Retrieval 16 (3), 178-317, 2022 | 95 | 2022 |
| 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 | 95 | 2018 |
| Semantic matching by non-linear word transportation for information retrieval J Guo, Y Fan, Q Ai, WB Croft Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 90 | 2016 |
| Matchzoo: A learning, practicing, and developing system for neural text matching J Guo, Y Fan, X Ji, X Cheng Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 88 | 2019 |
| B-PROP: bootstrapped pre-training with representative words prediction for ad-hoc retrieval X Ma, J Guo, R Zhang, Y Fan, Y Li, X Cheng Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 67 | 2021 |
| Corpusbrain: Pre-train a generative retrieval model for knowledge-intensive language tasks J Chen, R Zhang, J Guo, Y Liu, Y Fan, X Cheng Proceedings of the 31st ACM International Conference on Information …, 2022 | 63 | 2022 |
| 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 | 63 | 2017 |
| GERE: Generative evidence retrieval for fact verification J Chen, R Zhang, J Guo, Y Fan, X Cheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 61 | 2022 |
| Prada: Practical black-box adversarial attacks against neural ranking models C Wu, R Zhang, J Guo, M De Rijke, Y Fan, X Cheng ACM Transactions on Information Systems 41 (4), 1-27, 2023 | 60 | 2023 |
| Pre-train a discriminative text encoder for dense retrieval via contrastive span prediction X Ma, J Guo, R Zhang, Y Fan, X Cheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 50 | 2022 |
| A re-balancing strategy for class-imbalanced classification based on instance difficulty S Yu, J Guo, R Zhang, Y Fan, Z Wang, X Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 42 | 2022 |
| Are neural ranking models robust? C Wu, R Zhang, J Guo, Y Fan, X Cheng ACM Transactions on Information Systems 41 (2), 1-36, 2022 | 37 | 2022 |
| A unified generative retriever for knowledge-intensive language tasks via prompt learning J Chen, R Zhang, J Guo, M de Rijke, Y Liu, Y Fan, X Cheng Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 36 | 2023 |
| Fedmatch: Federated learning over heterogeneous question answering data J Chen, R Zhang, J Guo, Y Fan, X Cheng Proceedings of the 30th ACM International Conference on Information …, 2021 | 34 | 2021 |
Jiafeng GuoProfessor, Institute of Computing Techonology, CASEmail verificata su ict.ac.cn