Minghua Deng

Orcid: 0000-0002-9143-1898

According to our database1, Minghua Deng authored at least 89 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2024

scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data.
Briefings Bioinform., January, 2024

SPANN: annotating single-cell resolution spatial transcriptome data with scRNA-seq data.
Briefings Bioinform., January, 2024

2023
scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery.
Briefings Bioinform., March, 2023

A Survey on Deep Hashing Methods.
ACM Trans. Knowl. Discov. Data, January, 2023

Clustering single-cell multi-omics data with MoClust.
Bioinform., January, 2023

Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
scEMAIL: Universal and Source-free Annotation Method for scRNA-seq Data with Novel Cell-type Perception.
Genom. Proteom. Bioinform., October, 2022

Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning.
IEEE Signal Process. Lett., 2022

Profiling transcription factor activity dynamics using intronic reads in time-series transcriptome data.
PLoS Comput. Biol., 2022

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Neural Networks, 2022

Uncovering the Dominant Motion Modes of Allosteric Regulation Improves Allosteric Site Prediction.
J. Chem. Inf. Model., 2022

Statistical Methods for Microbiome Compositional Data Network Inference: A Survey.
J. Comput. Biol., 2022

scMRA: a robust deep learning method to annotate scRNA-seq data with multiple reference datasets.
Bioinform., 2022

scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data.
Bioinform., 2022

Rare variant association tests for ancestry-matched case-control data based on conditional logistic regression.
Briefings Bioinform., 2022

Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
CoRR, 2021

Single-cell RNA-seq data semi-supervised clustering and annotation via structural regularized domain adaptation.
Bioinform., 2021

A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ARGO: Modeling Heterogeneity in E-commerce Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

CIMON: Towards High-quality Hash Codes.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Supervised Hashing by Classification for Image Retrieval.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Unsupervised Hashing by Global and Local Consistency.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Unsupervised Hashing by Distilled Smooth Guidance.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding.
Proceedings of the Intelligent Computing Theories and Application, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Graph Contrastive Clustering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019.
Quant. Biol., 2020

Direct interaction network inference for compositional data via codaloss.
J. Bioinform. Comput. Biol., 2020

CIMON: Towards High-quality Hash Codes.
CoRR, 2020

A Survey on Deep Hashing Methods.
CoRR, 2020

Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.
Bioinform., 2020

scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.
Bioinform., 2020

2019
Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Correction to: Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
BMC Bioinform., 2019

Predicting protein inter-residue contacts using composite likelihood maximization and deep learning.
BMC Bioinform., 2019

Compositional data network analysis via lasso penalized D-trace loss.
Bioinform., 2019

2018
RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning.
BMC Bioinform., 2018

2017
gCoda: Conditional Dependence Network Inference for Compositional Data.
J. Comput. Biol., 2017

Pysim-sv: a package for simulating structural variation data with GC-biases.
BMC Bioinform., 2017

SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms.
Bioinform., 2017

VCNet: vector-based gene co-expression network construction and its application to RNA-seq data.
Bioinform., 2017

2016
A network based covariance test for detecting multivariate eQTL in saccharomyces cerevisiae.
BMC Syst. Biol., 2016

Inference of Markovian properties of molecular sequences from NGS data and applications to comparative genomics.
Bioinform., 2016

2015
Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian model.
J. Bioinform. Comput. Biol., 2015

CCLasso: correlation inference for compositional data through Lasso.
Bioinform., 2015

2014
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing.
Briefings Bioinform., 2014

2013
Alignment-Free Sequence Comparison Based on Next-Generation Sequencing Reads.
J. Comput. Biol., 2013

Multiple alignment-free sequence comparison.
Bioinform., 2013

2012
Alignment-Free Sequence Comparison Based on Next Generation Sequencing Reads: Extended Abstract.
Proceedings of the Research in Computational Molecular Biology, 2012

2011
Integrating multiple types of data to predict novel cell cycle-related genes.
BMC Syst. Biol., 2011

A Lasso regression model for the construction of microRNA-target regulatory networks.
Bioinform., 2011

Modular analysis of the probabilistic genetic interaction network.
Bioinform., 2011

Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 <i>in silico</i> Network Challenge.
Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010
Binding Energy Landscape Analysis Helps to Discriminate True Hits from High-Scoring Decoys in Virtual Screening.
J. Chem. Inf. Model., 2010

The Biases of Copy Numbers from Affymetrix SNP Arrays and Their Corrections.
Commun. Inf. Syst., 2010

Combinatorial regulation of transcription factors and microRNAs.
BMC Syst. Biol., 2010

A hybridization model for tiling array analysis.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
REMAS: a new regression model to identify alternative splicing events from exon array data.
BMC Bioinform., 2009

Searching for bidirectional promoters in <i>Arabidopsis thaliana</i>.
BMC Bioinform., 2009

Feature-Based Causal Structure Discovery in Protein and Gene Expression Data with Bayesian Network.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Pathway Detection Based on Hierarchical LASSO Regression Model.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

The Implementation and Application of the Microarray Preprocessing Generalized PDNN Model.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

A Robust Empirical Bayesian Method for Detecting Differentially Expressed Genes.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
A Method to Correct Systematic Bias in Affymetrix SNP Arrays.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

On Design of Oligonucleotide SNP Arrays and Methods for Genotype Calling.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2006
An integrated approach to the prediction of domain-domain interactions.
BMC Bioinform., 2006

Nonequilibrium Model for Yeast Cell Cycle.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

Using a Stochastic AdaBoost Algorithm to Discover Interactome Motif Pairs from Sequences.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

2004
An Integrated Probabilistic Model for Functional Prediction of Proteins.
J. Comput. Biol., 2004

Mapping gene ontology to proteins based on protein-protein interaction data.
Bioinform., 2004

An Improvement for Eulerian Path of Assembly.
Proceedings of the 4th IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2004), 2004

Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast.
Proceedings of the Biocomputing 2004, 2004

2003
Prediction of Protein Function Using Protein-Protein Interaction Data.
J. Comput. Biol., 2003

Assessment of the reliability of protein-protein interactions and protein function prediction.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

2002
Inferring domain-domain interactions from protein-protein interactions.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

2000
A Novel Algorithm for Handwritten Chinese Character Recognition.
Proceedings of the Advances in Multimodal Interfaces, 2000


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