Прати
Jingtao Zhan
Jingtao Zhan
Tsinghua University
Верификована је имејл адреса на mails.tsinghua.edu.cn - Почетна страница
Наслов
Навело
Навело
Година
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
3032021
RepBERT: Contextualized text embeddings for first-stage retrieval
J Zhan, J Mao, Y Liu, M Zhang, S Ma
arXiv preprint arXiv:2006.15498, 2020
1442020
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
802021
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
642022
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
532020
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
492020
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
392020
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
29*2022
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
262024
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
242023
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
122022
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
92022
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
52022
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
52021
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
42024
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
42024
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
42024
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
12024
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
12020
Foundations of GenIR
Q Ai, J Zhan, Y Liu
arXiv preprint arXiv:2501.02842, 2025
2025
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