Yuan Li

Orcid: 0000-0002-3567-2101

Affiliations:
  • North China University of Technology, School of Information Science and Technology, Beijing, China
  • Northeastern University, School of Computer Science and Engineering, Shenyang, China (PhD 2018)
  • Case Western Reserve University, Department of Electronic Engineering and Computer Science, Cleveland, OH, USA


According to our database1, Yuan Li authored at least 27 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

FABLE: Approximate Butterfly Counting in Bipartite Graph Stream with Duplicate Edges.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Robust Local Community Search over Large Heterogeneous Information Networks.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
GERWkNN: GPU-accelerated Exact Random Walk-based kNN Query in Large Graphs.
Proceedings of the 2023 5th International Conference on Big Data Engineering, 2023

2022
Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

The most active community search in large temporal graphs.
Knowl. Based Syst., 2022

I/O Efficient Early Bursting Cohesive Subgraph Discovery in Massive Temporal Networks.
J. Comput. Sci. Technol., 2022

A Distributed Evolutionary Framework for Large-scale SNP-SNP Interaction Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Efficient continual cohesive subgraph search in large temporal graphs.
World Wide Web, 2021

A differential evolution based feature combination selection algorithm for high-dimensional data.
Inf. Sci., 2021

An improved ant colony optimization with an automatic updating mechanism for constraint satisfaction problems.
Expert Syst. Appl., 2021

Effective and Efficient Steiner Maximum Path-Connected Subgraph Search in Large Social Internet of Things.
IEEE Access, 2021

Finding Early Bursting Cohesive Subgraphs in Large Temporal Networks.
Proceedings of the 2021 IEEE SmartWorld, 2021

Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin Transactions.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Towards k-vertex connected component discovery from large networks.
World Wide Web, 2020

Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs.
Proceedings of the Knowledge Science, Engineering and Management, 2020

2019
ELM-Based Large-Scale Genetic Association Study via Statistically Significant Pattern.
IEEE Trans. Syst. Man Cybern. Syst., 2019

An Ant Colony Optimization Based on Information Entropy for Constraint Satisfaction Problems.
Entropy, 2019

DESeeker: Detecting Epistatic Interactions Using a Two-Stage Differential Evolution Algorithm.
IEEE Access, 2019

Ant Colony Optimization with Self-Evolving Parameter for Detecting Epistatic Interactions.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017
Finding susceptible and protective interaction patterns in large-scale genetic association study.
Frontiers Comput. Sci., 2017

Effective k-Vertex Connected Component Detection in Large-Scale Networks.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Improving ELM-based microarray data classification by diversified sequence features selection.
Neural Comput. Appl., 2016

2015
On extending extreme learning machine to non-redundant synergy pattern based graph classification.
Neurocomputing, 2015

Finding Top-k Covering Irreducible Contrast Sequence Rules for Disease Diagnosis.
Comput. Math. Methods Medicine, 2015

2011
Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence Rules.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011


  Loading...