Yingfan Liu

According to our database, Yingfan Liu authored at least 30 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generalized Range Filtering Approximate Nearest Neighbor Search: Containment and Overlap [Technical Report].

Yingfan Liu, Tong Wu, Jiadong Xie, Yang Zhao, Jeffrey Xu Yu, Jiangtao Cui

CoRR, May, 2026

RISK: Efficiently processing rich spatial-keyword queries on encrypted geo-textual data.

Zhen Lv, Cong Cao, Hongwei Huo, Jiangtao Cui, Yanguo Peng, Hui Li, Yingfan Liu

CoRR, February, 2026

Fast Tuning the Index Construction Parameters of Proximity Graphs in Vector Databases.

Wenyang Zhou, Jiadong Xie, Yingfan Liu, Zhihao Yin, Jeffrey Xu Yu, Hui Li, Zhangqian Mu, Xiaotian Qiao, Jiangtao Cui

CoRR, February, 2026

TSCAD: Temporality-spectrum collective transformer for multivariate time series anomaly detection.

Songwei Han, Jiangtao Cui, Luming Sun, Yingfan Liu, Ming Li, Youfang Leng

Appl. Soft Comput., 2026

Breaking the Single-Reference-Vector Barrier in Approximate Nearest Neighbor Search.

Jiadong Xie, Jeffrey Liang, Siyi Teng, Jeffrey Xu Yu, Yingfan Liu

Proceedings of the ACM Web Conference 2026, 2026

KBest: Efficient Vector Search on Kunpeng CPU.

Kaihao Ma, Meiling Wang, Oleg Senkevich, Zijian Li, Daihao Xue, Dmitriy Malyshev, Yangming Lv, Shihai Xiao, Xiao Yan, Alexander Radionov, Weidi Zeng, Yuanzhan Gao, Zhiyu Zou, Xin Yao, Lin Liu, Junhao Wu, Yiding Liu, Yaoyao Fu, Gongyi Wang, Gong Zhang, Fei Yi, Yingfan Liu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Graph Based K-Nearest Neighbor Search Revisited.

Jiadong Xie, Jeffrey Xu Yu, Yingfan Liu

ACM Trans. Database Syst., December, 2025

KBest: Efficient Vector Search on Kunpeng CPU.

Kaihao Ma, Meiling Wang, Oleg Senkevich, Zijian Li, Daihao Xue, Dmitriy Malyshev, Yangming Lv, Shihai Xiao, Xiao Yan, Alexander Radionov, Weidi Zeng, Yuanzhan Gao, Zhiyu Zou, Xin Yao, Lin Liu, Junhao Wu, Yiding Liu, Yaoyao Fu, Gongyi Wang, Gong Zhang, Fei Yi, Yingfan Liu

CoRR, August, 2025

Fast Approximate Similarity Join in Vector Databases.

Jiadong Xie, Jeffrey Xu Yu, Yingfan Liu

Proc. ACM Manag. Data, June, 2025

Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search.

Shuo Yang, Jiadong Xie, Yingfan Liu, Jeffrey Xu Yu, Xiyue Gao, Qianru Wang, Yanguo Peng, Jiangtao Cui

Proc. VLDB Endow., February, 2025

Fucci: Database Transaction Fuzzing via Random Conflict Construction and Multilevel Constraint Solving.

Xiyue Gao, Zhuang Liu, Yiran Shen, Hui Li, Yingfan Liu, Hongjun Xiao, Yanguo Peng, Jiangtao Cui

Proc. VLDB Endow., February, 2025

Beyond Vector Search: Querying With and Without Predicates.

Jiadong Xie, Jeffrey Xu Yu, Siyi Teng, Yingfan Liu

Proc. ACM Manag. Data, 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

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, Kankan Zhao

Expert Syst. Appl., 2025

QuadraFormer: Unified Query and Resource Forecasting for Database Workloads.

Songwei Han, Jiangtao Cui, Luming Sun, Yingfan Liu, Zhangqian Mu, Ming Li

Proceedings of the IEEE International Conference on Data Mining, 2025

Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data.

Yingfan Liu, Yandi Zhang, Jiadong Xie, Hui Li, Jeffrey Xu Yu, Jiangtao Cui

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

RasterPIP: Answering Point-in-Polygon Query with GPU-Native Transformation and Rasterization.

Ziang Liu, Hui Li, Yingfan Liu, Hua Tong, Zhenning Shi, Hui Zhang, Jiangtao Cui

Proceedings of the Database Systems for Advanced Applications, 2025

2024

CIGraph: Accelerating Graph Queries over Database with Compressed Index.

Zhen Lv, Li Wang, Yingfan Liu, Kankan Zhao, Yanguo Peng

Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

One Size Cannot Fit All: A Self-adaptive Dispatcher for Skewed Hash Join in Shared-Nothing RDBMSs.

Jinxin Yang, Hui Li, Wenlong Song, Yiming Si, Hui Zhang, Kankan Zhao, Kewei Wei, Yingfan Liu, Jiangtao Cui

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Accelerating massive queries of approximate nearest neighbor search on high-dimensional data.

Yingfan Liu, Chaowei Song, Hong Cheng, Xiaofang Xia, Jiangtao Cui

Knowl. Inf. Syst., October, 2023

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing.

Yingfan Liu, Renyu Zhu, Ming Gao

Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

2022

An Expectation Maximization Based Adaptive Group Testing Method for Improving Efficiency and Sensitivity of Large-Scale Screening of COVID-19.

Xiaofang Xia, Yang Liu, Bo Yang, Yingfan Liu, Jiangtao Cui, Yinlong Zhang

IEEE J. Biomed. Health Informatics, 2022

2021

Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses.

Yingfan Liu, Hong Cheng, Jiangtao Cui

CoRR, 2021

2019

An efficient LSH indexing on discriminative short codes for high-dimensional nearest neighbors.

Xiaokang Feng, Jiangtao Cui, Hui Li, Yingfan Liu

Multim. Tools Appl., 2019

2018

Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data.

Yingfan Liu, Hao Wei, Hong Cheng

Inf. Sci., 2018

Towards Secure Approximate ${k}$ -Nearest Neighbor Query Over Encrypted High-Dimensional Data.

Yanguo Peng, Hui Li, Jiangtao Cui, Jianfeng Ma, Yingfan Liu

IEEE Access, 2018

2017

Effective optimizations of cluster-based nearest neighbor search in high-dimensional space.

Xiaokang Feng, Jiangtao Cui, Yingfan Liu, Hui Li

Multim. Syst., 2017

PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization.

Yingfan Liu, Hong Cheng, Jiangtao Cui

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2014

SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search.

Yingfan Liu, Jiangtao Cui, Zi Huang, Hui Li, Heng Tao Shen

Proc. VLDB Endow., 2014

2013

Near-Optimal Partial Linear Scan for Nearest Neighbor Search in High-Dimensional Space.

Jiangtao Cui, Zi Huang, Bo Wang, Yingfan Liu

Proceedings of the Database Systems for Advanced Applications, 2013