Yan-Ting Ye, Ting-An Chen, Ming-Syan Chen. AdaPQ: Adaptive Exploration Product Quantization with Adversary-Aware Block Size Selection Toward Compression Efficiency. In De-Nian Yang, Xing Xie 0001, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin, editors, Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Volume 14646 of Lecture Notes in Computer Science, pages 3-14, Springer, 2024. [doi]
@inproceedings{YeCC24,
title = {AdaPQ: Adaptive Exploration Product Quantization with Adversary-Aware Block Size Selection Toward Compression Efficiency},
author = {Yan-Ting Ye and Ting-An Chen and Ming-Syan Chen},
year = {2024},
doi = {10.1007/978-981-97-2253-2_1},
url = {https://doi.org/10.1007/978-981-97-2253-2_1},
researchr = {https://researchr.org/publication/YeCC24},
cites = {0},
citedby = {0},
pages = {3-14},
booktitle = {Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II},
editor = {De-Nian Yang and Xing Xie 0001 and Vincent S. Tseng and Jian Pei and Jen-Wei Huang and Jerry Chun-Wei Lin},
volume = {14646},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-981-97-2253-2},
}