Jionglong Su
Orcid: 0000-0001-5360-6493
According to our database1,
Jionglong Su
authored at least 62 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
Pattern Recognit. Lett., 2024
Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells.
J. Chem. Inf. Model., 2024
Nested ResNet: A Vision-Based Method for Detecting the Sensing Area of a Drop-in Gamma Probe.
CoRR, 2024
IEEE Access, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the First International OpenKG Workshop: Large Knowledge-Enhanced Models co-locacted with The International Joint Conference on Artificial Intelligence (IJCAI 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
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
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
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
CoRR, 2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
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
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
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
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
Frontiers Neurorobotics, 2020
m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human.
Bioinform., 2020
IEEE Access, 2020
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
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
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
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
Proceedings of the 11th International Congress on Image and Signal Processing, 2018
2017
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
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
PhD thesis, 2011