Yuansheng Liu

Orcid: 0000-0002-7680-3155

According to our database1, Yuansheng Liu authored at least 64 papers between 2007 and 2024.

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Bibliography

2024
PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction.
IEEE J. Biomed. Health Informatics, January, 2024

Dynamic threshold spiking neural P systems with weights and multiple channels.
Theor. Comput. Sci., 2024

scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Knowledge-based Dual External Attention Network for peptide detectability prediction.
Knowl. Based Syst., 2024

Effective drug-target affinity prediction via generative active learning.
Inf. Sci., 2024

DualSyn: A dual-level feature interaction method to predict synergistic drug combinations.
Expert Syst. Appl., 2024

Co-training based prediction of multi-label protein-protein interactions.
Comput. Biol. Medicine, 2024

SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction.
Artif. Intell. Medicine, 2024

2023
Sequence Alignment/Map format: a comprehensive review of approaches and applications.
Briefings Bioinform., September, 2023

Evolutionary Multi-Objective Optimization in Searching for Various Antimicrobial Peptides [Feature].
IEEE Comput. Intell. Mag., May, 2023

Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder.
Briefings Bioinform., May, 2023

Machine learning on protein-protein interaction prediction: models, challenges and trends.
Briefings Bioinform., March, 2023

Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Research on Intelligent Monitoring Method of Medicine Delivery Vehicle Based on Internet of Things Technology.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022
High-Precision and Fast LiDAR Odometry and Mapping Algorithm.
J. Adv. Comput. Intell. Intell. Informatics, 2022

Multi-information fingerprint identification method based on interactive genetic algorithm.
Int. J. Biom., 2022

A factor graph optimization mapping based on normaldistributions transform.
Turkish J. Electr. Eng. Comput. Sci., 2022

Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning.
Briefings Bioinform., 2022

Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison.
Briefings Bioinform., 2022

Learning spatial structures of proteins improves protein-protein interaction prediction.
Briefings Bioinform., 2022

Deep learning in retrosynthesis planning: datasets, models and tools.
Briefings Bioinform., 2022

Vision localization method for intelligent vehicles in low-texture environments.
Proceedings of the 18th International Conference on Computational Intelligence and Security, 2022

2021
Hamming-shifting graph of genomic short reads: Efficient construction and its application for compression.
PLoS Comput. Biol., 2021

Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis.
Knowl. Based Syst., 2021

Future vehicles: interactive wheeled robots.
Sci. China Inf. Sci., 2021

Instance-based error correction for short reads of disease-associated genes.
BMC Bioinform., 2021

Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers.
Bioinform., 2021

Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison.
Briefings Bioinform., 2021

Molecular design in drug discovery: a comprehensive review of deep generative models.
Briefings Bioinform., 2021

A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing.
Appl. Soft Comput., 2021

2020
Bi-Level Error Correction for PacBio Long Reads.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Allowing mutations in maximal matches boosts genome compression performance.
Bioinform., 2020

Research on the Application of Semantic Segmentation of driverless vehicles in Park Scene.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

2019
Data mining for high performance compression of genmoic reads and sequences
PhD thesis, 2019

Improving GNSS Navigation and Control with Electronic Compass in Unmanned System.
J. Adv. Comput. Intell. Intell. Informatics, 2019

Fast detection of maximal exact matches via fixed sampling of query K-mers and Bloom filtering of index K-mers.
Bioinform., 2019

Index suffix-prefix overlaps by (w, k)-minimizer to generate long contigs for reads compression.
Bioinform., 2019

Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Hybrid Loop Closure Detection Method Based on Lidar SLAM.
Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2018
On the Security of a Class of Diffusion Mechanisms for Image Encryption.
IEEE Trans. Cybern., 2018

A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing.
Sensors, 2018

Dynamic Obstacle Detection and Tracking Based on 3D Lidar.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Research on Moving Target Tracking Algorithm Based on Lidar and Visual Fusion.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Improved known-plaintext attack to permutation-only multimedia ciphers.
Inf. Sci., 2018

Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Prediction and Validation of Disease Genes Using HeteSim Scores.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Security Analysis of Some Diffusion Mechanisms Used in Chaotic Ciphers.
Int. J. Bifurc. Chaos, 2017

High-speed and high-ratio referential genome compression.
Bioinform., 2017

Evaluating Data Resilience in CNNs from an Approximate Memory Perspective.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2016
Cryptanalyzing an image encryption algorithm based on scrambling and Veginère cipher.
Multim. Tools Appl., 2016

2015
Reliability Evaluation of the Minimum Spanning Tree on Uncertain Graph.
J. Comput., 2015

Deciphering an Image Cipher Based on Mixed Transformed Logistic Maps.
Int. J. Bifurc. Chaos, 2015

Chosen-plaintext attack of an image encryption scheme based on modified permutation-diffusion structure.
CoRR, 2015

2014
Cryptanalyzing a class of image encryption schemes based on Chinese remainder theorem.
Signal Process. Image Commun., 2014

Deciphering a novel image cipher based on mixed transformed Logistic maps.
CoRR, 2014

A chaotic image encryption scheme owning temp-value feedback.
Commun. Nonlinear Sci. Numer. Simul., 2014

2013
Breaking a Chaotic Image Encryption Algorithm Based on Modulo Addition and XOR Operation.
Int. J. Bifurc. Chaos, 2013

Breaking a RGB image encryption algorithm based on DNA encoding and chaos map.
CoRR, 2013

Breaking an image compression and encryption scheme based on Chinese Remainder Theorem.
CoRR, 2013

2012
Breaking a novel image encryption scheme based on improved hyperchaotic sequences
CoRR, 2012

2007
WebTraceMiner: a web service for processing and mining EST sequence trace files.
Nucleic Acids Res., 2007


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