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Guimu Guo
Parallel And Distributed Computing
Graph Mining
Deep Learning
Machine Learning
About
I am a tenure-track a
, I received my Master degree from Tongji University, Shanghai. My current research interests are Parallel and distributed computing, Graph Mining, Machine Learning and Deep learning.
Research Performance Summary
2017-2025
Active Research Span
First Recorded Paper
Traffic crash prediction based on incremental learning algorithm
Year:
2017
Citations:
9
Venue:
2017 IEEE 2nd international conference on big data analysis (ICBDA)
Latest Recorded Paper
G-Thinkerq: A General Subgraph Querying System With a Unified Task-Based Programming Model
Year:
2025
Citations:
1
Venue:
IEEE Transactions on Knowledge and Data Engineering 37 (6)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Guo
Yan
Khalil
Research Impact by Period
Papers
1
Citations
1
Avg. Citations / Paper
1
H-Index
1
Papers
17
Citations
315
Avg. Citations / Paper
18.5
H-Index
10
Papers
10
Citations
60
Avg. Citations / Paper
6
H-Index
6
Contact and Professional Links
Detected Research Keywords
Realistic Transport Simulation
Subgraphs Big Graph
Prefixfpm Parallel Framework
Parallel Framework General
Framework General Purpose
Mining Maximal Quasi
Maximal Quasi Cliques
Thinker Task Centric
Task Centric Distributed
Centric Distributed Framework