Zhan Jingtao

[1] Fang Y, Zhan J, Ai Q, Mao J, Su W, Chen J, Liu Y. Scaling laws for dense retrieval. InProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval 2024 Jul 10 (pp. 1339-1349).

[2] Zhan J, Mao J, Liu Y, Guo J, Zhang M, Ma S. Learning discrete representations via constrained clustering for effective and efficient dense retrieval. InProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining 2022 Feb 11 (pp. 1328-1336).

[3] Zhan J, Mao J, Liu Y, Guo J, Zhang M, Ma S. Jointly optimizing query encoder and product quantization to improve retrieval performance. InProceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 Oct 26 (pp. 2487-2496).

[4] Zhan J, Mao J, Liu Y, Guo J, Zhang M, Ma S. Optimizing dense retrieval model training with hard negatives. InProceedings of the 44th international ACM SIGIR conference on research and development in information retrieval 2021 Jul 11 (pp. 1503-1512).

[5] Zhan J, Ai Q, Liu Y, Pan Y, Yao T, Mao J, Ma S, Mei T. Prompt Refinement with Image Pivot for Text-to-Image Generation. InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2024 Aug (pp. 941-954).