Shi-Hua Zhang
Orcid: 0000-0003-4244-2360
According to our database1,
Shi-Hua Zhang
authored at least 105 papers
between 2006 and 2024.
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Bibliography
2024
U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Matrix normal PCA for interpretable dimension reduction and graphical noise modeling.
Pattern Recognit., 2024
Enhancing the transferability of adversarial attacks with diversified input strategies.
J. Intell. Fuzzy Syst., 2024
CoRR, 2024
Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function.
CoRR, 2024
Joint optimization of application placement and resource allocation for enhanced performance in heterogeneous multi-server systems.
Comput. Networks, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Python Package <i>itca</i> for Information-Theoretic Classification Accuracy: A Criterion That Guides Data-Driven Combination of Ambiguous Outcome Labels in Multiclass Classification.
J. Comput. Biol., November, 2023
Improving sparse graph attention for feature matching by informative keypoints exploration.
Comput. Vis. Image Underst., October, 2023
Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning.
Briefings Bioinform., September, 2023
Briefings Bioinform., May, 2023
ACM Trans. Knowl. Discov. Data, April, 2023
Integrating spatial transcriptomics data across different conditions, technologies and developmental stages.
Nat. Comput. Sci., 2023
CoRR, 2023
U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Knowl. Data Eng., 2022
Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022.
Nucleic Acids Res., 2022
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification.
J. Mach. Learn. Res., 2022
Deciphering the Spatial Modular Patterns of Tissues by Integrating Spatial and Single-Cell Transcriptomic Data.
J. Comput. Biol., 2022
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms.
Comput. Methods Programs Biomed., 2022
Comput. Biol. Medicine, 2022
Disease category-specific annotation of variants using an ensemble learning framework.
Briefings Bioinform., 2022
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data.
IEEE Trans. Knowl. Data Eng., 2021
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Approximate distance correlation for selecting highly interrelated genes across datasets.
PLoS Comput. Biol., 2021
TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers.
PLoS Comput. Biol., 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Neurocomputing, 2021
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space.
CoRR, 2021
Leveraging partially overlapping channels for intra- and inter-coalition communication in cooperative UAV swarms.
Sci. China Inf. Sci., 2021
LncR2metasta: a manually curated database for experimentally supported lncRNAs during various cancer metastatic events.
Briefings Bioinform., 2021
Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data.
Briefings Bioinform., 2021
2020
A General Joint Matrix Factorization Framework for Data Integration and Its Systematic Algorithmic Exploration.
IEEE Trans. Fuzzy Syst., 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
CoRR, 2020
Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network.
BMC Bioinform., 2020
2019
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding.
CoRR, 2019
Simple tricks of convolutional neural network architectures improve DNA-protein binding prediction.
Bioinform., 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Quant. Biol., 2018
Bioinform., 2018
FPGA Investigation on Error-Floor Performance of a Concatenated Staircase and Hamming Code for 400G-ZR Forward Error Correction.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
2017
When to offload in two-tier smallcell networks: a Stackelberg game approach with pre-offloading-decision.
Wirel. Networks, 2017
Frontiers Comput. Sci., 2017
TBC2health: a database of experimentally validated health-beneficial effects of tea bioactive compounds.
Briefings Bioinform., 2017
Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns.
Briefings Bioinform., 2017
2016
A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Inf. Sci., 2016
DrugE-Rank: improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank.
Bioinform., 2016
Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data.
Bioinform., 2016
An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data.
Algorithms Mol. Biol., 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Infer Metagenomic Abundance and Reveal Homologous Genomes Based on the Structure of Taxonomy Tree.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
BMC Genom., 2015
A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
2013
Genom. Proteom. Bioinform., 2013
Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.
BMC Syst. Biol., 2013
Travelling waves and global attractivity of an SIRS disease model with spatial diffusion and temporary immunity.
Appl. Math. Comput., 2013
Modelling and analysis of a delayed predator-prey model with disease in the predator.
Appl. Math. Comput., 2013
2012
Bioinform., 2012
Bioinform., 2012
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012
2011
A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
Bioinform., 2011
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
2010
Determining modular organization of protein interaction networks by maximizing modularity density.
BMC Syst. Biol., 2010
Composite functional module inference: detecting cooperation between transcriptional regulation and protein interaction by mantel test.
BMC Syst. Biol., 2010
Detecting disease associated modules and prioritizing active genes based on high throughput data.
BMC Bioinform., 2010
A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps.
Bioinform., 2010
2009
Proceedings of the Fuzzy Systems in Bioinformatics and Computational Biology, 2009
Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases.
PLoS Comput. Biol., 2009
A hybrid graph-theoretic method for mining overlapping functional modules in large sparse protein interaction networks.
Int. J. Data Min. Bioinform., 2009
Proceedings of the High Performance Computing and Applications, 2009
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
2008
Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures.
Neurocomputing, 2008
BMC Syst. Biol., 2008
2007
Identifying Modules in Complex Networks by a Graph-Theoretical Method and Its Application in Protein Interaction Networks.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
2006
Identification of functional modules in a PPI network by clique percolation clustering.
Comput. Biol. Chem., 2006
Prediction of Protein Complexes Based on Protein Interaction Data and Functional Annotation Data Using Kernel Methods.
Proceedings of the Computational Intelligence and Bioinformatics, 2006
A Graph-Theoretic Method for Mining Functional Modules in Large Sparse Protein Interaction Networks.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006