代表性论文

1. Yingfan Liu, Chaowei Song, Hong Cheng, Xiaofang Xia and Jiangtao Cui. Accelerating Massive Queries Of Approximate Nearest Neighbor Search On High Dimensional Data. KAIS 2023.

2. Yingfan Liu, Hao Wei and Hong Cheng. Exploiting Lower Bounds to Accelerate Approximate Nearest Neighbor Search on High-Dimensional Data. Information Sciences 465 （2018）, 484-504.

3. Yingfan Liu, Hong Cheng and Jiangtao Cui. PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM 2017， 667-676.

4. Yingfan Liu, Jiangtao Cui, Zi Huang, Hui Li and Heng Tao Shen. SK-LSH : An Efficient Index Structure for Approximate Nearest Neighbor Search. Proceedings of the VLDB Endowment 7 (9), 745-756.

5. 冯小康，彭延国，崔江涛，刘英帆，李辉. 基于最优排序的局部敏感哈希索引. 计算机学报，930-947.NDBC(中国数据库大会) 2018. （最佳论文提名奖、萨师煊优秀论文奖）.