Minghua Deng
Orcid: 0000-0002-9143-1898
According to our database1,
Minghua Deng
authored at least 93 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
Improving tree probability estimation with stochastic optimization and variance reduction.
Stat. Comput., December, 2024
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
Intrinsic structure exploitation with dual alignment for universal visual recognition.
Knowl. Based Syst., 2024
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement.
Briefings Bioinform., 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery.
Briefings Bioinform., March, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
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
IEEE Signal Process. Lett., 2022
Profiling transcription factor activity dynamics using intronic reads in time-series transcriptome data.
PLoS Comput. Biol., 2022
Neural Networks, 2022
Uncovering the Dominant Motion Modes of Allosteric Regulation Improves Allosteric Site Prediction.
J. Chem. Inf. Model., 2022
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
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
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
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
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
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
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
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
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
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
J. Bioinform. Comput. Biol., 2020
Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.
Bioinform., 2020
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
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
J. Comput. Biol., 2017
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
Bioinform., 2015
2014
New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing.
Briefings Bioinform., 2014
2013
J. Comput. Biol., 2013
2012
Alignment-Free Sequence Comparison Based on Next Generation Sequencing Reads: Extended Abstract.
Proceedings of the Research in Computational Molecular Biology, 2012
2011
BMC Syst. Biol., 2011
A Lasso regression model for the construction of microRNA-target regulatory networks.
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
Commun. Inf. Syst., 2010
BMC Syst. Biol., 2010
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
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
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
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
2008
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2006
BMC Bioinform., 2006
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
J. Comput. Biol., 2004
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
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
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002
2000
Proceedings of the Advances in Multimodal Interfaces, 2000