Cong Fu

Orcid: 0000-0002-3624-6665

Affiliations:
  • Alibaba Group, Beijing, China
  • Zhejiang University, Hangzhou, China


According to our database1, Cong Fu authored at least 11 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
COP: customized correlation-based Filter level pruning method for deep CNN compression.
Neurocomputing, 2021

2019
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph.
Proc. VLDB Endow., 2019

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.
CoRR, 2019

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Collaborative Policy Learning for Open Knowledge Graph Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Domain Recommendation via Preference Propagation GraphNet.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs.
CoRR, 2017

2016
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph.
CoRR, 2016


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