Zhan, Jingtao

Optimizing Dense Retrieval Model Training with Hard Negatives

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 251

Optimizing Dense Retrieval Model Training with Hard Negatives

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 248

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Advanced Image and Video Retrieval TechniquesInformation Retrieval and Search Behavior

Cited by 91

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2022) · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Information Retrieval and Search BehaviorAdvanced Image and Video Retrieval Techniques

Cited by 72

Scaling Laws For Dense Retrieval

Fang, Y., Zhan, J., Ai, Q., Mao, J., Su, W., Chen, J., & Liu, Y. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 28

Capability-aware Prompt Reformulation Learning for Text-to-Image Generation

Zhan, J., Ai, Q., Liu, Y., Chen, J., & Ma, S. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 7

Foundations of GenIR

Ai, Q., Zhan, J., & Liu, Y. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0