| 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 | 269 | 2021 |
| RepBERT: Contextualized text embeddings for first-stage retrieval J Zhan, J Mao, Y Liu, M Zhang, S Ma arXiv preprint arXiv:2006.15498, 2020 | 129 | 2020 |
| Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance J Zhan, J Mao, Y Liu, J Guo, M Zhang, S Ma Proceedings of the 30th ACM International Conference on Information and …, 2021 | 67 | 2021 |
| Learning discrete representations via constrained clustering for effective and efficient dense retrieval J Zhan, J Mao, Y Liu, J Guo, M Zhang, S Ma Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 56 | 2022 |
| Leveraging passage-level cumulative gain for document ranking Z Wu, J Mao, Y Liu, J Zhan, Y Zheng, M Zhang, S Ma Proceedings of the web conference 2020, 2421-2431, 2020 | 46 | 2020 |
| An Analysis of BERT in Document Ranking J Zhan, J Mao, Y Liu, M Zhang, S Ma Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 44 | 2020 |
| Learning to retrieve: How to train a dense retrieval model effectively and efficiently J Zhan, J Mao, Y Liu, M Zhang, S Ma arXiv preprint arXiv:2010.10469, 2020 | 29 | 2020 |
| Evaluating interpolation and extrapolation performance of neural retrieval models J Zhan, X Xie, J Mao, Y Liu, J Guo, M Zhang, S Ma Proceedings of the 31st ACM International Conference on Information …, 2022 | 23* | 2022 |
| Constructing tree-based index for efficient and effective dense retrieval H Li, Q Ai, J Zhan, J Mao, Y Liu, Z Liu, Z Cao Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 17 | 2023 |
| THUIR at the NTCIR-16 WWW-4 task S Yang, H Li, Z Chu, J Zhan, Y Liu, M Zhang, S Ma Proceedings of NTCIR-16. to appear, 2022 | 12 | 2022 |
| Disentangled modeling of domain and relevance for adaptable dense retrieval J Zhan, Q Ai, Y Liu, J Mao, X Xie, M Zhang, S Ma arXiv preprint arXiv:2208.05753, 2022 | 10 | 2022 |
| Interpreting dense retrieval as mixture of topics J Zhan, J Mao, Y Liu, J Guo, M Zhang, S Ma arXiv preprint arXiv:2111.13957, 2021 | 5 | 2021 |
| Joint optimization of multi-vector representation with product quantization Y Fang, J Zhan, Y Liu, J Mao, M Zhang, S Ma CCF International Conference on Natural Language Processing and Chinese …, 2022 | 4 | 2022 |
| Query augmentation by decoding semantics from brain signals Z Ye, J Zhan, Q Ai, Y Liu, M de Rijke, C Lioma, T Ruotsalo arXiv preprint arXiv:2402.15708, 2024 | 3 | 2024 |
| Capability-aware Prompt Reformulation Learning for Text-to-Image Generation J Zhan, Q Ai, Y Liu, J Chen, S Ma Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
| Scaling laws for dense retrieval Y Fang, J Zhan, Q Ai, J Mao, W Su, J Chen, Y Liu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
| Prompt Refinement with Image Pivot for Text-to-Image Generation J Zhan, Q Ai, Y Liu, Y Pan, T Yao, J Mao, S Ma, T Mei arXiv preprint arXiv:2407.00247, 2024 | 1 | 2024 |
| THUIR at the NTCIR-15 WWW-3 Task Z Chu, J Zhan, X Li, J Mao, Y Liu, M Zhang, S Ma Proceedings of NTCIR-15, 249-252, 2020 | 1 | 2020 |
| Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval Y Fang, Q Ai, J Zhan, Y Liu, X Wu, Z Cao Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17994 …, 2024 | | 2024 |
| Query Augmentation with Brain Signals Z Ye, J Zhan, Q Ai, Y Liu, M de Rijke, C Lioma, T Ruostalo ACM Multimedia 2024, 2024 | | 2024 |
Jiaxin MaoRenmin University of ChinaVerified email at ruc.edu.cn
