Rui Jiang

Orcid: 0000-0002-7533-3753

Affiliations:
  • Tsinghua University, Department of Automation, Beijing, China


According to our database1, Rui Jiang authored at least 93 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Discrete latent embedding of single-cell chromatin accessibility sequencing data for uncovering cell heterogeneity.
Nat. Comput. Sci., May, 2024

collectNET: a web server for integrated inference of cell-cell communication network.
Database J. Biol. Databases Curation, January, 2024

Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-Cell Chromatin Accessibility Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas.
Nat. Mac. Intell., 2024

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs.
CoRR, 2024

2023
Building digital life systems for future biology and medicine.
Quant. Biol., September, 2023

DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction.
Quant. Biol., September, 2023

simCAS: an embedding-based method for simulating single-cell chromatin accessibility sequencing data.
Bioinform., August, 2023

HiChIPdb: a comprehensive database of HiChIP regulatory interactions.
Nucleic Acids Res., January, 2023

Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.
Briefings Bioinform., January, 2023

Deep generative modeling and clustering of single cell Hi-C data.
Briefings Bioinform., January, 2023

Time-Aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding.
Nat. Mach. Intell., 2022

CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images.
Medical Image Anal., 2022

DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.
Genom. Proteom. Bioinform., 2022

REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction.
Comput. Biol. Medicine, 2022

DualGCN: a dual graph convolutional network model to predict cancer drug response.
BMC Bioinform., 2022

scGraph: a graph neural network-based approach to automatically identify cell types.
Bioinform., 2022

2021
Simultaneous deep generative modelling and clustering of single-cell genomic data.
Nat. Mach. Intell., 2021

SilencerDB: a comprehensive database of silencers.
Nucleic Acids Res., 2021

OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions.
Nucleic Acids Res., 2021

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.
Genom. Proteom. Bioinform., 2021

Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms.
Bioinform., 2021

stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics.
Bioinform., 2021

Self-supervised Visual Representation Learning for Histopathological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
IRIS: A method for predicting in vivo RNA secondary structures using PARIS data.
Quant. Biol., 2020

A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection.
Quant. Biol., 2020

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms.
PLoS Comput. Biol., 2020

Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms.
CoRR, 2020

A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis.
CoRR, 2020

Roundtrip: A Deep Generative Neural Density Estimator.
CoRR, 2020

EnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes.
BMC Bioinform., 2020

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network.
Bioinform., 2020

A Natural Language Processing Pipeline of Chinese Free-Text Radiology Reports for Liver Cancer Diagnosis.
IEEE Access, 2020

2019
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information.
Quant. Biol., 2019

GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations.
Inf. Syst. Frontiers, 2019

DeepHistone: a deep learning approach to predicting histone modifications.
BMC Genom., 2019

Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.
BMC Bioinform., 2019

VPAC: Variational projection for accurate clustering of single-cell transcriptomic data.
BMC Bioinform., 2019

hicGAN infers super resolution Hi-C data with generative adversarial networks.
Bioinform., 2019

EnDisease: a manually curated database for enhancer-disease associations.
Database J. Biol. Databases Curation, 2019

Instance Segmentation of Anatomical Structures in Chest Radiographs.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Rule-Based Method to Develop Question-Answer Dataset from Chest X-Ray Reports.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Liver Histopathological Image Retrieval Based on Deep Metric Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Guest Editorial for Special Section on the Sixth National Conference on Bioinformatics and System Biology of China.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

FLOWER: Fusing global and local associations towards personalized social recommendation.
Future Gener. Comput. Syst., 2018

Prediction of enhancer-promoter interactions via natural language processing.
BMC Genom., 2018

Chromatin accessibility prediction via a hybrid deep convolutional neural network.
Bioinform., 2018

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A sequence-based method to predict the impact of regulatory variants using random forest.
BMC Syst. Biol., 2017

Mimvec: a deep learning approach for analyzing the human phenome.
BMC Syst. Biol., 2017

Predicting enhancers with deep convolutional neural networks.
BMC Bioinform., 2017

Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.
Bioinform., 2017

PPIM: A protein-protein interaction database for Maize.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Exploring functional variant using a deep learning framework.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Whole genome sequencing and its applications in medical genetics.
Quant. Biol., 2016

Trinity: Walking on a User-Object-Tag Heterogeneous Network for Personalised Recommendations.
J. Comput. Sci. Technol., 2016

Construction and Analysis of Functional Networks in the Gut Microbiome of Type 2 Diabetes Patients.
Genom. Proteom. Bioinform., 2016

Global inference of disease-causing single nucleotide variants from exome sequencing data.
BMC Bioinform., 2016

dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions.
Database J. Biol. Databases Curation, 2016

DeepEnhancer: Predicting enhancers by convolutional neural networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
ROUND: Walking on an object-user heterogeneous network for personalized recommendations.
Expert Syst. Appl., 2015

Pinpointing disease genes through phenomic and genomic data fusion.
BMC Genom., 2015

Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.
Bioinform., 2015

2014
Constructing a Boolean implication network to study the interactions between environmental factors and OTUs.
Quant. Biol., 2014

Integrated Approach in Systems Biology.
Comput. Math. Methods Medicine, 2014

Prioritizing protein complexes implicated in human diseases by network optimization.
BMC Syst. Biol., 2014

2013
Constructing a user similarity network to remove adverse influence of popular objects for personalized recommendation.
Expert Syst. Appl., 2013

Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities.
Decis. Support Syst., 2013

PyroHMMvar: a sensitive and accurate method to call short indels and SNPs for Ion Torrent and 454 data.
Bioinform., 2013

Inferring semantic similarity through correlating information contents of gene ontology terms.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction data.
Int. J. Comput. Biol. Drug Des., 2012

Ontology-Based Genes Similarity Calculation with TF-IDF.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

Improving Recommendation Performance through Ontology-Based Semantic Similarity.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

2011
A Max-Flow-Based Approach to the Identification of Protein Complexes Using Protein Interaction and Microarray Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines.
Int. J. Comput. Biol. Drug Des., 2011

DomainRBF: a Bayesian regression approach to the prioritization of candidate domains for complex diseases.
BMC Syst. Biol., 2011

Constructing a gene semantic similarity network for the inference of disease genes.
BMC Syst. Biol., 2011

Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach.
BMC Bioinform., 2011

Clustering 16S rRNA for OTU prediction: a method of unsupervised Bayesian clustering.
Bioinform., 2011

Uncover disease genes by maximizing information flow in the phenome-interactome network.
Bioinform., 2011

A genetic algorithm for optimizing subnetwork markers for the study of breast cancer metastasis.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Integrating sequence conservation features and a domain-domain interaction network to detect disease-associated nsSNPs.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

DOPCA: A New Method for Calculating Ontology-Based Semantic Similarity.
Proceedings of the 10th IEEE/ACIS International Conference on Computer and Information Science, 2011

2009
Bayesian Models and Gibbs Sampling Strategies for Local Graph Alignment and Motif Identification in Stochastic Biological Networks.
Commun. Inf. Syst., 2009

A random forest approach to the detection of epistatic interactions in case-control studies.
BMC Bioinform., 2009

Align human interactome with phenome to identify causative genes and networks underlying disease families.
Bioinform., 2009

A Comparative Study of Ensemble Learning Approaches in the Classification of Breast Cancer Metastasis.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

2007
Optimal Adaptive Controller for Multidimensional Armax Model.
Cybern. Syst., 2007

2006
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.
BMC Bioinform., 2006

2000
An adaptive classifier system tree for extending genetics-based machine learning in a dynamic environment.
Artif. Life Robotics, 2000


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