Jionglong Su

Orcid: 0000-0001-5360-6493

According to our database1, Jionglong Su authored at least 59 papers between 2011 and 2024.

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Bibliography

2024
Combining transformer based deep reinforcement learning with Black-Litterman model for portfolio optimization.
Neural Comput. Appl., November, 2024

Graph attention autoencoder model with dual decoder for clustering single-cell RNA sequencing data.
Appl. Intell., March, 2024

Adaptive knowledge transfer for class incremental learning.
Pattern Recognit. Lett., 2024

Film-GAN: towards realistic analog film photo generation.
Neural Comput. Appl., 2024

Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells.
J. Chem. Inf. Model., 2024

CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR, 2024

Contrastive Learning Via Equivariant Representation.
CoRR, 2024

ProMISe: Promptable Medical Image Segmentation using SAM.
CoRR, 2024

Fully Automatic Karyotyping via Deep Convolutional Neural Networks.
IEEE Access, 2024

Distortion-Disentangled Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Polyp-Mamba: Polyp Segmentation with Visual Mamba.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
scASGC: An adaptive simplified graph convolution model for clustering single-cell RNA-seq data.
Comput. Biol. Medicine, September, 2023

Down Syndrome detection with Swin Transformer architecture.
Biomed. Signal Process. Control., September, 2023

Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis.
Appl. Intell., September, 2023

m6A-TSHub: Unveiling the Context-specific m<sup>6</sup>A Methylation and m<sup>6</sup>A-affecting Mutations in 23 Human Tissues.
Genom. Proteom. Bioinform., August, 2023

From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization.
Appl. Intell., June, 2023

Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.
CoRR, 2023

Bilateral-Fuser: A Novel Multi-cue Fusion Architecture with Anatomical-aware Tokens for Fovea Localization.
CoRR, 2023

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A Robust Framework of Chromosome Straightening With Vit-Patch Gan.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
A New Convolutional Neural Network Architecture for Automatic Segmentation of Overlapping Human Chromosomes.
Neural Process. Lett., 2022

m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome.
Nucleic Acids Res., 2022

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation.
CoRR, 2022

CNN-based Classification Framework for Lung Tissues with Auxiliary Information.
CoRR, 2022

Stepwise Feature Fusion: Local Guides Global.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Bilateral-ViT For Robust Fovea Localization.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

CPQNet: Contact Points Quality Network for Robotic Grasping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

MDAEN: Multi-Dimensional Attention-based Ensemble Network in Deep Reinforcement Learning Framework for Portfolio Management.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022

Ghost Expectation Point with Deep Reinforcement Learning in Financial Portfolio Management.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022

A Novel DenseNet-based Deep Reinforcement Framework for Portfolio Management.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022

2021
m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.
Nucleic Acids Res., 2021

RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.
Nucleic Acids Res., 2021

Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks.
CoRR, 2021

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
CoRR, 2021

MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis.
Bioinform., 2021

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data.
Bioinform., 2021

ConsRM: collection and large-scale prediction of the evolutionarily conserved RNA methylation sites, with implications for the functional epitranscriptome.
Briefings Bioinform., 2021

An Event-Triggered Low-Cost Tactile Perception System for Social Robot's Whole Body Interaction.
IEEE Access, 2021

A Framework of Hierarchical Deep Q-Network for Portfolio Management.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Intention Understanding in Human-Robot Interaction Based on Visual-NLP Semantics.
Frontiers Neurorobotics, 2020

Application of Deep Q-Network in Portfolio Management.
CoRR, 2020

m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human.
Bioinform., 2020

Extended ResNet and Label Feature Vector Based Chromosome Classification.
IEEE Access, 2020

Gibbs Sampling Based Banoian Biclustering of Gene Expression Data.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

An Improved Algorithm for Estimating the Distribution of RNA-related Genomic Features.
Proceedings of the BIBE 2020: The Fourth International Conference on Biological Information and Biomedical Engineering, 2020

2019
m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co-methylation network.
BMC Bioinform., 2019

News2vec: News Network Embedding with Subnode Information.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Detection of m6A RNA Methylation in Nanopore Sequencing Data Using Support Vector Machine.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Re-Identification Based Automatic Matching and Annotation of Chromosome.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Novel Model for Cascading Failure Based on Degree Strength and Its Application in Directed Gene Logic Networks.
Comput. Math. Methods Medicine, 2018

Chromosome Classification with Convolutional Neural Network Based Deep Learning.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Particle Filter Based Time Series Prediction of Daily Sales of an Online Retailer.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Kalman filter based time series prediction of cake factory daily sale.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Adaptive active contour model based automatic tongue image segmentation.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
Modeling Gene Networks in<i> Saccharomyces cerevisiae</i> Based on Gene Expression Profiles.
Comput. Math. Methods Medicine, 2015

2011
Online predictions for spatio-temporal systems using time-varying RBF networks.
PhD thesis, 2011


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