Shufeng Gong

Orcid: 0000-0001-5898-5621

According to our database1, Shufeng Gong authored at least 15 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing.
Proc. VLDB Endow., November, 2023

Dataset for "Human Activity Recognition with FMCW Radar Using Few-Shot learning".
Dataset, May, 2023

Improving Density Peaks Clustering through GPU acceleration.
Future Gener. Comput. Syst., April, 2023

WiDFF-ID: Device-Free Fast Person Identification Using Commodity WiFi.
IEEE Trans. Cogn. Commun. Netw., February, 2023

Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Accelerating Incremental Graph Processing by Layering Graph.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Personalized recommendation: From clothing to academic.
Multim. Tools Appl., 2022

Robust multi-objective visual bayesian personalized ranking for multimedia recommendation.
Appl. Intell., 2022

LayerLSH: Rebuilding Locality-Sensitive Hashing Indices by Exploring Density of Hash Values.
IEEE Access, 2022

2021
Accelerating Large-Scale Prioritized Graph Computations by Hotness Balanced Partition.
IEEE Trans. Parallel Distributed Syst., 2021

Automating Incremental Graph Processing with Flexible Memoization.
Proc. VLDB Endow., 2021

2020
HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Distributed Graph Processing: Techniques and Systems.
Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020

2017
Clustering Stream Data by Exploring the Evolution of Density Mountain.
Proc. VLDB Endow., 2017

地理社交网络中基于K近邻的兴趣组查询 (K-nearest Neighbor Based Interest Group Query in Geo-social Networks).
计算机科学, 2017


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