Lu Zhang

Orcid: 0000-0002-2794-7371

Affiliations:
  • Hong Kong Baptist University, Department of Computer Science, LKS, Institute for Research and Continuing Education, Shenzhen, China


According to our database1, Lu Zhang authored at least 25 papers between 2013 and 2026.

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

2026
Enhanced Disease Susceptible Variant Identification via Short Identity by Descent Segments.
IEEE Trans. Comput. Biol. Bioinform., 2026

stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images.
Bioinform., 2026

2025
stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images.
Dataset, April, 2025

DBNX: A Machine Learning Method for Ensembling Polygenic Risk Scores and Non-Genetic Factors.
IEEE Trans. Comput. Biol. Bioinform., 2025

Language models for data extraction and risk of bias assessment in complementary medicine.
npj Digit. Medicine, 2025

RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.
J. Am. Medical Informatics Assoc., 2025

TRAFICA: an open chromatin language model to improve transcription factor binding affinity prediction.
Bioinform., 2025

Mitigation of multi-scale biases in cell-type deconvolution for spatially resolved transcriptomics using HarmoDecon.
Bioinform., 2025

A multimodal framework for early detection and classification of social isolation and loneliness among Chinese older adults.
Briefings Bioinform., 2025

IDCLP: A Deep Learning Framework for Predicting Chemical-Induced Gene Expression Profiles Through Multisource Data Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes.
Nat. Mac. Intell., 2024

Integrated analysis of gut microbiome compositional and genomic alterations reveals strain diversity and actionable biomarkers across multiple colorectal cancer cohorts.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Med-PRSIMD: Enhanced Complex Disease Risk Prediction through Integrative Analysis of Multi-Type Data and Medical History Records.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023
Benchmarking multi-platform sequencing technologies for human genome assembly.
Briefings Bioinform., September, 2023

Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute.
Briefings Bioinform., May, 2023

Benchmarking genome assembly methods on metagenomic sequencing data.
Briefings Bioinform., March, 2023

A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variants.
Briefings Bioinform., January, 2023

2022
dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data.
Briefings Bioinform., November, 2022

A machine learning model for disease risk prediction by integrating genetic and non-genetic factors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs.
BMC Bioinform., 2021

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.
Briefings Bioinform., 2021

An ensemble deep learning framework to refine large deletions in linked-reads.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2016
More accurate models for detecting gene-gene interactions from public expression compendia.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Reconstructing directed gene regulatory network by only gene expression data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2013
PriVar: a toolkit for prioritizing SNVs and indels from next-generation sequencing data.
Bioinform., 2013


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