Yuhai Zhao

Orcid: 0000-0002-1080-0859

According to our database1, Yuhai Zhao authored at least 92 papers between 2006 and 2024.

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

2024
BL: An Efficient Index for Reachability Queries on Large Graphs.
IEEE Trans. Big Data, April, 2024

A novel open-source CADs platform for 3D CT pulmonary analysis.
Comput. Biol. Medicine, February, 2024

MiniDBG: A Novel and Minimal De Bruijn Graph for Read Mapping.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Limited-Supervised Multi-Label Learning with Dependency Noise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Image emotion multi-label classification based on multi-graph learning.
Expert Syst. Appl., November, 2023

Efficient Community Search in Edge-Attributed Graphs.
IEEE Trans. Knowl. Data Eng., October, 2023

Global triangle estimation based on first edge sampling in large graph streams.
J. Supercomput., September, 2023

A fault-tolerant optimization mechanism for spatiotemporal data analysis in flink.
World Wide Web (WWW), May, 2023

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

BS-Join: A novel and efficient mixed batch-stream join method for spatiotemporal data management in Flink.
Future Gener. Comput. Syst., April, 2023

Automatic Code Review by Learning the Structure Information of Code Graph.
Sensors, March, 2023

Toward Better Structure and Constraint to Mine Negative Sequential Patterns.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Multi-graph multi-label learning with novel and missing labels.
Knowl. Based Syst., 2023

joinTree: A novel join-oriented multivariate operator for spatio-temporal data management in Flink.
GeoInformatica, 2023

LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion.
CoRR, 2023

GALOPA: Graph Transport Learning with Optimal Plan Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skyline Micro-Cluster Query: A Novel and Practical Spatial Query.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

COCLEP: Contrastive Learning-based Semi-Supervised Community Search.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Robust Self-Supervised Multi-Instance Learning with Structure Awareness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Distributed Density Peaks Clustering Revisited.
IEEE Trans. Knowl. Data Eng., 2022

DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

StLiter: A Novel Algorithm to Iteratively Build the Compacted de Bruijn Graph From Many Complete Genomes.
IEEE ACM Trans. Comput. Biol. Bioinform., 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

A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection.
Knowl. Based Syst., 2022

An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing.
Int. J. Softw. Informatics, 2022

Classifying the multi-omics data of gastric cancer using a deep feature selection method.
Expert Syst. Appl., 2022

A fast and efficient path elimination algorithm for large-scale multiple common longest sequence problems.
BMC Bioinform., 2022

How to better utilize code graphs in semantic code search?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Mining Negative Sequential Rules from Negative Sequential Patterns.
Proceedings of the Database Systems for Advanced Applications, 2022

TsRss: A Practical Stream data Cleaning Method based on Local Shape Feature.
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Multi-objective evolutionary clustering for large-scale dynamic community detection.
Inf. Sci., 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

Which abbreviations should be expanded?
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Multi-graph Multi-label Learning with Dual-granularity Labeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Distributed Density Peaks Clustering Revisited (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Multi-job Merging Framework and Scheduling Optimization for Apache Flink.
Proceedings of the Database Systems for Advanced Applications, 2021

Online Runtime Prediction Method for Distributed Iterative Jobs.
Proceedings of the Web Information Systems and Applications, 2021

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

Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things.
IEEE Trans. Ind. Informatics, 2020

LLR: Learning learning rates by LSTM for training neural networks.
Neurocomputing, 2020

Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning.
CoRR, 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

S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method.
IEEE Access, 2019

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

2018
Multi-Graph Multi-Label Learning Based on Entropy.
Entropy, 2018

Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine.
Cogn. Comput., 2018

Ant colony optimization with an automatic adjustment mechanism for detecting epistatic interactions.
Comput. Biol. Chem., 2018

2017
Enhancing ELM by Markov Boundary based feature selection.
Neurocomputing, 2017

Extreme Learning Machine for large-scale graph classification based on MapReduce.
Neurocomputing, 2017

Mining coterie patterns from Instagram photo trajectories for recommending popular travel routes.
Frontiers Comput. Sci., 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

An Efficient and Effective Overlapping Communities Discovery Based on Agglomerative Graph.
Proceedings of the IEEE International Conference on Web Services, 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

GDC: An efficient tag recommendation algorithm.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Large-Scale Graph Classification Based on Evolutionary Computation with MapReduce.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
ELM ∗ : distributed extreme learning machine with MapReduce.
World Wide Web, 2014

Learning Phenotype Structure Using Sequence Model.
IEEE Trans. Knowl. Data Eng., 2014

An Incremental Updating Based Fast Phenotype Structure Learning Algorithm.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

2013
Weight Based Live Migration of Virtual Machines.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

An efficient projected partition algorithm based on the order among genes.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

An Active Service Reselection Triggering Mechanism.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2011
XML document classification based on ELM.
Neurocomputing, 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

2010
Efficiently Mining Time-Delayed Gene Expression Patterns.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Efficiently mining local conserved clusters from gene expression data.
Neurocomputing, 2010

A Multi-stage Spectral Alignment Strategy for Unrestrictive PTM Peptide Identification.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Fast filtering false active subspaces for efficient high dimensional similarity processing.
Sci. China Ser. F Inf. Sci., 2009

Generating Peptide Sequence Tags for Peptide Identification via Tandem Mass Spectrometry.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

A self-healing composite Web service model.
Proceedings of the 4th IEEE Asia-Pacific Services Computing Conference, 2009

2008
Maximal Subspace Coregulated Gene Clustering.
IEEE Trans. Knowl. Data Eng., 2008

2007
A Novel Approach to Revealing Positive and Negative Co-Regulated Genes.
J. Comput. Sci. Technol., 2007

Mining Time-Shifting Co-regulation Patterns from Gene Expression Data.
Proceedings of the Advances in Data and Web Management, 2007

Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Novel Local Features-Based Approach for Clustering Microarray Data.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
Mining Biologically Significant Co-regulation Patterns from Microarray Data.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Mining Positive and Negative Co-regulation Patterns from Microarray Data.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

EDAM: An Efficient Clique Discovery Algorithm with Frequency Transformation for Finding Motifs.
Proceedings of 4th Asia-Pacific Bioinformatics Conference. 13-16 February 2006, 2006

Mining Maximal Local Conserved Gene Clusters from Microarray Data.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006


  Loading...