Zhigang Wang

Orcid: 0000-0002-1812-1068

Affiliations:
  • Ocean University of China, Faculty of Information Science and Engineering, Qingdao, China
  • Northeastern University, School of Computer Science and Engineering, Shenyang, China (PhD 2018)


According to our database1, Zhigang Wang authored at least 28 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction.
CoRR, 2024

2023
Efficient Subhypergraph Matching Based on Hyperedge Features.
IEEE Trans. Knowl. Data Eng., June, 2023

FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning.
IEEE Trans. Parallel Distributed Syst., February, 2023

A lock-free approach to parallelizing personalized PageRank computations on GPU.
Frontiers Comput. Sci., 2023

PrivNUD: Effective Range Query Processing under Local Differential Privacy.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Lazy Machine Unlearning Strategy for Random Forests.
Proceedings of the Web Information Systems and Applications, 2023

2022
Distributed Hypergraph Processing Using Intersection Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Collecting and analyzing key-value data under shuffled differential privacy.
Frontiers Comput. Sci., 2022

DRPS: efficient disk-resident parameter servers for distributed machine learning.
Frontiers Comput. Sci., 2022

EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Spatial Data Publication Under Local Differential Privacy.
Proceedings of the Web Information Systems and Applications, 2022

2021
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling.
IEEE Trans. Knowl. Data Eng., 2021

DiterGraph: Toward I/O-Efficient Incremental Computation over Large Graphs with Billion Edges.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

Differentially Private Linear Regression Analysis via Truncating Technique.
Proceedings of the Web Information Systems and Applications, 2021

An Adaptive Sharing Framework for Efficient Multi-source Shortest Path Computation.
Proceedings of the Web Information Systems and Applications, 2021

2020
Efficient Closeness Centrality Computation for Dynamic Graphs.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
TSH: Easy-to-be distributed partitioning for large-scale graphs.
Future Gener. Comput. Syst., 2019

Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data.
IEEE Access, 2019

2018
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments.
IEEE Trans. Parallel Distributed Syst., 2018

2017
An I/O-efficient and adaptive fault-tolerant framework for distributed graph computations.
Distributed Parallel Databases, 2017

FSP: towards flexible synchronous parallel framework for expectation-maximization based algorithms on cloud.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016
Efficient moving k nearest neighbor queries over line segment objects.
World Wide Web, 2016

Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing.
Proceedings of the 2016 International Conference on Management of Data, 2016

2013
Shortest Path Computation over Disk-Resident Large Graphs Based on Extended Bulk Synchronous Parallel Methods.
Proceedings of the Database Systems for Advanced Applications, 2013

Parallel Triangle Counting over Large Graphs.
Proceedings of the Database Systems for Advanced Applications, 2013

BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture.
Proceedings of the Database Systems for Advanced Applications, 2013

A BSP-Based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs.
Proceedings of the IEEE International Congress on Big Data, 2013


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