Near-Optimal Partial Linear Scan for Nearest Neighbor Search in High-Dimensional Space. - Jiangtao Cui; Zi Huang; Bo Wang; Yingfan Liu (DASFAA (1), 2013)

SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search. - Yingfan Liu; Jiangtao Cui; Zi Huang; Hui Li 005; Heng Tao Shen (Proc. VLDB Endow., 2014)

PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. - Yingfan Liu; Hong Cheng 001; Jiangtao Cui (CIKM, 2017)

Effective optimizations of cluster-based nearest neighbor search in high-dimensional space. - Xiaokang Feng; Jiangtao Cui; Yingfan Liu; Hui Li 005 (Multim. Syst., 2017)

Towards Secure Approximate ${k}$ -Nearest Neighbor Query Over Encrypted High-Dimensional Data. - Yanguo Peng; Hui Li 005; Jiangtao Cui; Jianfeng Ma 001; Yingfan Liu (IEEE Access, 2018)

Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data. - Yingfan Liu; Hao Wei; Hong Cheng 001 (Inf. Sci., 2018)

An efficient LSH indexing on discriminative short codes for high-dimensional nearest neighbors. - Xiaokang Feng; Jiangtao Cui; Hui Li 005; Yingfan Liu (Multim. Tools Appl., 2019)

Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses. - Yingfan Liu; Hong Cheng 001; Jiangtao Cui (CoRR, 2021)

An Expectation Maximization Based Adaptive Group Testing Method for Improving Efficiency and Sensitivity of Large-Scale Screening of COVID-19. - Xiaofang Xia; Yang Liu 366; Bo Yang 026; Yingfan Liu; Jiangtao Cui; Yinlong Zhang (IEEE J. Biomed. Health Informatics, 2022)

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. - Yingfan Liu; Renyu Zhu; Ming Gao 001 (ICCSE (1), 2023)

Accelerating massive queries of approximate nearest neighbor search on high-dimensional data. - Yingfan Liu; Chaowei Song; Hong Cheng 001; Xiaofang Xia; Jiangtao Cui (Knowl. Inf. Syst., 2023)

One Size Cannot Fit All: A Self-adaptive Dispatcher for Skewed Hash Join in Shared-Nothing RDBMSs. - Jinxin Yang; Hui Li 005; Wenlong Song; Yiming Si; Hui Zhang; Kankan Zhao; Kewei Wei; Yingfan Liu; Jiangtao Cui (DASFAA (1), 2024)

CIGraph: Accelerating Graph Queries over Database with Compressed Index. - Zhen Lv 001; Li Wang; Yingfan Liu; Kankan Zhao; Yanguo Peng (ICA3PP (5), 2024)

Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data. - Yingfan Liu; Yandi Zhang; Jiadong Xie 002; Hui Li; Jeffrey Xu Yu; Jiangtao Cui (ICDE, 2025)

Insights into KPI-based performance anomaly detection in database systems: A comprehensive study. - Xiyue Gao; Peize Yuan; Songwei Han; Yingfan Liu; Xiaofang Xia; Hui Zhang; Jiangtao Cui; Hui Li 006; Kankan Zhao (Expert Syst. Appl., 2025)

Deep multi-negative supervised hashing for large-scale image retrieval. - Yingfan Liu; Xiaotian Qiao; Zhaoqing Liu; Xiaofang Xia; Yinlong Zhang; Jiangtao Cui (Expert Syst. Appl., 2025)

Fucci: Database Transaction Fuzzing via Random Conflict Construction and Multilevel Constraint Solving. - Xiyue Gao; Zhuang Liu; Yiran Shen 005; Hui Li; Yingfan Liu; Hongjun Xiao; Yanguo Peng; Jiangtao Cui (Proc. VLDB Endow., 2025)

Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search. - Shuo Yang; Jiadong Xie 002; Yingfan Liu; Jeffrey Xu Yu; Xiyue Gao; Qianru Wang; Yanguo Peng; Jiangtao Cui (Proc. VLDB Endow., 2025)

Fast Approximate Similarity Join in Vector Databases. - Jiadong Xie 002; Jeffrey Xu Yu; Yingfan Liu (Proc. ACM Manag. Data, 2025)

KBest: Efficient Vector Search on Kunpeng CPU. - Kaihao Ma; Meiling Wang; Senkevich Oleg; Zijian Li; Daihao Xue; Dmitriy Malyshev; Yangming Lv; Shihai Xiao; Xiao Yan; Radionov Alexander; Weidi Zeng; Yuanzhan Gao; et al. (CoRR, 2025)

Graph Based K-Nearest Neighbor Search Revisited. - Jiadong Xie 002; Jeffrey Xu Yu; Yingfan Liu (ACM Trans. Database Syst., 2025)