activity
20162023
most citedEFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

65 citations · 105 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.BM2023★ 9 cited

A Latent Diffusion Model for Protein Structure Generation

Cong Fu, Keqiang Yan, Limei Wang +7

Proteins are complex biomolecules that perform a variety of crucial functions within living organisms. Designing and generating novel proteins can pave the way for many future synt…

cs.IR2019

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Cong Fu, Changxu Wang, Deng Cai

Approximate Nearest Neighbor Search (ANNS) in high dimensional space is essential in database and information retrieval. Recently, there has been a surge of interest in exploring e…

cs.CV2019★ 6 cited

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Wenxiao Wang, Cong Fu, Jishun Guo +2

Neural network compression empowers the effective yet unwieldy deep convolutional neural networks (CNN) to be deployed in resource-constrained scenarios. Most state-of-the-art appr…

cs.LG2017★ 25 cited

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

Cong Fu, Chao Xiang, Changxu Wang +1

Approximate nearest neighbor search (ANNS) is a fundamental problem in databases and data mining. A scalable ANNS algorithm should be both memory-efficient and fast. Some early gra…

cs.CV2016★ 65 cited

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

Cong Fu, Deng Cai

Approximate nearest neighbor (ANN) search is a fundamental problem in many areas of data mining, machine learning and computer vision. The performance of traditional hierarchical s…