Yanchun Liang

Orcid: 0000-0002-1147-3968

Affiliations:
  • Jilin University, Changchun, Key Laboratory for Symbol Computation and Knowledge Engineering
  • University of Trento, Department of Information Engineering and Computer Science


According to our database1, Yanchun Liang authored at least 182 papers between 2001 and 2024.

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Bibliography

2024
Troublemaker Learning for Low-Light Image Enhancement.
CoRR, 2024

2023
Efficient Self-learning Evolutionary Neural Architecture Search.
Appl. Soft Comput., October, 2023

Cross-Domain Meta-Learner for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods.
Entropy, August, 2023

Chinese Few-Shot Named Entity Recognition and Knowledge Graph Construction in Managed Pressure Drilling Domain.
Entropy, July, 2023

Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling.
Entropy, July, 2023

LFDNN: A Novel Hybrid Recommendation Model Based on DeepFM and LightGBM.
Entropy, April, 2023

Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO.
Swarm Evol. Comput., 2023

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023

An Automatic Assessment Model of Adenoid Hypertrophy in MRI Images Based on Deep Convolutional Neural Networks.
IEEE Access, 2023

Leveraging Hierarchical Similarities for Contrastive Clustering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Research on Ethnic Pattern Generation Based on Generative Adversarial Networks.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2D ViT and 1D CRNN-based Heart Sound Signals Detection Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Deep Feature-Based Text Clustering and its Explanation.
IEEE Trans. Knowl. Data Eng., 2022

Amino acid environment affinity model based on graph attention network.
J. Bioinform. Comput. Biol., 2022

Research and analysis of psychological data based on machine learning methods.
Int. J. Wirel. Mob. Comput., 2022

DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning.
Complex., 2022

Discovering trends and hotspots of biosafety and biosecurity research via machine learning.
Briefings Bioinform., 2022

Protein Subcellular Localization Prediction by Combining ProtBert and BiGRU.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Time and Time-Frequency Features Integrated CNN Model for Heart Sound Signals Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning.
J. Comput. Sci. Technol., 2021

Revealing New Technologies in Ocean Engineering Research using Machine Learning.
Int. J. Comput. Commun. Control, 2021

A block-encoding method for evolving neural network architecture.
Int. J. Bio Inspired Comput., 2021

Cancer Research Trend Analysis Based on Fusion Feature Representation.
Entropy, 2021

Overlapping Community Detection Based on Membership Degree Propagation.
Entropy, 2021

Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO.
CoRR, 2021

Neural Architecture Search based on Cartesian Genetic Programming Coding Method.
CoRR, 2021

Relating brain structure images to personality characteristics using 3D convolution neural network.
CAAI Trans. Intell. Technol., 2021

The bioinformatics toolbox for circRNA discovery and analysis.
Briefings Bioinform., 2021

Crossed-Time Delay Neural Network for Speaker Recognition.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Deep Attention Diffusion Graph Neural Networks for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

COVID-19 Knowledge Graph for Drug and Vaccine Development.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Acupuncture and Tuina Knowledge Graph for Ancient Literature of Traditional Chinese Medicine.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
BioNMT: A Biomedical Neural Machine Translation System.
Int. J. Comput. Commun. Control, November, 2020

Deep Learning Analysis and Age Prediction from Shoeprints.
CoRR, 2020

A dynamic programing approach to integrate gene expression data and network information for pathway model generation.
Bioinform., 2020

A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning.
IEEE Access, 2020

DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning.
IEEE Access, 2020

2019
Identification and Functional Inference for Tumor-Associated Long Non-Coding RNA.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Particle swarm optimization based on dimensional learning strategy.
Swarm Evol. Comput., 2019

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory.
Neural Process. Lett., 2019

Relation path embedding in knowledge graphs.
Neural Comput. Appl., 2019

Boost particle swarm optimization with fitness estimation.
Nat. Comput., 2019

Feature space learning model.
J. Ambient Intell. Humaniz. Comput., 2019

Facial Expression Decoding based on fMRI Brain Signal.
Int. J. Comput. Commun. Control, 2019

Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name.
Genom. Proteom. Bioinform., 2019

Capsule network for protein post-translational modification site prediction.
Bioinform., 2019

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property.
Briefings Bioinform., 2019

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction.
IEEE Access, 2019

Simulation of Evacuating Crowd Based on Deep Learning and Social Force Model.
IEEE Access, 2019

A Fault Diagnostic Method for Induction Motors Based on Feature Incremental Broad Learning and Singular Value Decomposition.
IEEE Access, 2019

An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization.
IEEE Access, 2019

Surprisingly Popular Algorithm-Based Comprehensive Adaptive Topology Learning PSO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

ESAE: Evolutionary Strategy-Based Architecture Evolution.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Text classification based on deep belief network and softmax regression.
Neural Comput. Appl., 2018

A content-based recommender system for computer science publications.
Knowl. Based Syst., 2018

A Knowledge Base Completion Model Based on Path Feature Learning.
Int. J. Comput. Commun. Control, 2018

A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity.
BMC Syst. Biol., 2018

Exploring Trends of Lung Cancer Research Based on Word Representation.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2018, 2018

2017
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.
J. Bioinform. Comput. Biol., 2017

Globally-optimal prediction-based adaptive mutation particle swarm optimization.
Inf. Sci., 2017

Architecture and key technologies for the mission planning system of space sensor network.
Int. J. Sens. Networks, 2017

Overfitting Reduction of Text Classification Based on AdaBELM.
Entropy, 2017

RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation.
BMC Bioinform., 2017

MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.
Bioinform., 2017

A feature selection method based on multiple kernel learning with expression profiles of different types.
BioData Min., 2017

A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

A Feature Space Learning Model Based on Semi-Supervised Clustering.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

IMPRes: Integrative MultiOmics pathway resolution algorithm and tool.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Decorrelation-Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Self-adaptive SVDD integrated with AP clustering for one-class classification.
Pattern Recognit. Lett., 2016

An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling.
Int. J. Comput. Intell. Syst., 2016

Improving degree-based variable ordering heuristics for solving constraint satisfaction problems.
J. Heuristics, 2016

Compositional Learning of Relation Paths Embedding for Knowledge Base Completion.
CoRR, 2016

A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder.
Proceedings of the Smart Computing and Communication, 2016

The BBC News Hunter: A Novel Crawler for BBC News.
Proceedings of the Social Computing, 2016

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Hybrid intelligent algorithm and its application in geological hazard risk assessment.
Neurocomputing, 2015

A novel filter feature selection method for paired microarray expression data analysis.
Int. J. Data Min. Bioinform., 2015

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.
Cogn. Comput., 2015

Cooperative differential evolution with fast variable interdependence learning and cross-cluster mutation.
Appl. Soft Comput., 2015

Position on Interoperability Everywhere Under IoT-ARM.
Proceedings of the 1st International Workshop on Semantic Technologies (IWOST), 2015

Exploring Trends of Cancer Research Based on Topic Model.
Proceedings of the 1st International Workshop on Semantic Technologies (IWOST), 2015

2014
Support vector description of clusters for content-based image annotation.
Pattern Recognit., 2014

A resampling ensemble algorithm for classification of imbalance problems.
Neurocomputing, 2014

Operon prediction by Markov clustering.
Int. J. Data Min. Bioinform., 2014

Global prediction-based adaptive mutation particle swarm optimization.
Proceedings of the 10th International Conference on Natural Computation, 2014

Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2013

A novel multi-stage feature selection method for microarray expression data analysis.
Int. J. Data Min. Bioinform., 2013

Multi-BP expert system for fault diagnosis of powersystem.
Eng. Appl. Artif. Intell., 2013

PMTED: a plant microRNA target expression database.
BMC Bioinform., 2013

Effective and stable feature selection method based on filter for gene signature identification in paired microarray data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Making Simple Tabular ReductionWorks on Negative Table Constraints.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
A novel efficient local illumination compensation method based on DCT in logarithm domain.
Pattern Recognit. Lett., 2012

A cooperative particle swarm optimizer with statistical variable interdependence learning.
Inf. Sci., 2012

Tri-mean-based statistical differential gene expression detection.
Int. J. Data Min. Bioinform., 2012

Multi-scale RNA comparison based on RNA triple vector curve representation.
BMC Bioinform., 2012

LS-SVR-based solving Volterra integral equations.
Appl. Math. Comput., 2012

2011
Text Clustering with Seeds Affinity Propagation.
IEEE Trans. Knowl. Data Eng., 2011

User experience evaluation of Google search for obtaining medical knowledge: a case study.
Int. J. Data Min. Bioinform., 2011

A Support Vector and K-Means Based Hybrid Intelligent Data Clustering Algorithm.
IEICE Trans. Inf. Syst., 2011

Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

A novel method for RNA secondary structure prediction.
Proceedings of the Seventh International Conference on Natural Computation, 2011

The Application of Fuzzy System Group in Intelligent Diagnosis for Power Tranformer.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

Identification of Salt Tolerance Genes in Rice from Microarray Data using SVM-RFE.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

2010
A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2010

Solving Job Shop Scheduling Problem Using Genetic Algorithm with Penalty Function.
Int. J. Intell. Inf. Process., 2010

Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010

PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features.
Artif. Intell. Medicine, 2010

Gravitation field algorithm and its application in gene cluster.
Algorithms Mol. Biol., 2010

An integrated algorithm based on artificial bee colony and particle swarm optimization.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Dynamic Scheduling for Semiconductor Wafer Fabrication Based on ETAEMS and MAS.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

Wireless Digital Gas Meter with Lower Power Consumption.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

Gene Expression Regulation in E-Cell Model Analog-Cell.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

2009
Corrigendum to "Catalog segmentation with double constraints in business" [Pattern Recognition Letters 30 (4) (2009) 440-448].
Pattern Recognit. Lett., 2009

Catalog segmentation with double constraints in business.
Pattern Recognit. Lett., 2009

Identification and control of nonlinear systems by a time-delay recurrent neural network.
Neurocomputing, 2009

A hybrid ACO/PSO algorithm and its applications.
Int. J. Model. Identif. Control., 2009

Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model.
Bioinform., 2009

Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction.
Proceedings of the Advances in Neural Networks, 2009

Effects of the short-cut connection on the dynamics of a delayed ring neural network.
Proceedings of the International Joint Conference on Neural Networks, 2009

An incremental affinity propagation algorithm and its applications for text clustering.
Proceedings of the International Joint Conference on Neural Networks, 2009

Incorporating Biological Knowledge into Density-Based Clustering Analysis of Gene Expression Data.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
An Effective PSO and AIS-Based Hybrid Intelligent Algorithm for Job-Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Part A, 2008

A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display.
IEEE Trans. Geosci. Remote. Sens., 2008

An artificial neural network method for combining gene prediction based on equitable weights.
Neurocomputing, 2008

A novel LS-SVMs hyper-parameter selection based on particle swarm optimization.
Neurocomputing, 2008

A Novel Approach for Classifying Human Cancers.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

An Ant Colony Optimization Method for Prize-collecting Traveling Salesman Problem with Time Windows.
Proceedings of the Fourth International Conference on Natural Computation, 2008

SOM2W and RBF Neural Network-Based Hybrid Models and Their Applications to New Share Pricing.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

A time delay neural network for dynamical system control.
Proceedings of the FUZZ-IEEE 2008, 2008

The Application of Support Vector Machine to Operon Prediction.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Machine Learning-Based Keywords Extraction for Scientific Literature.
J. Univers. Comput. Sci., 2007

Particle swarm optimization-based algorithms for TSP and generalized TSP.
Inf. Process. Lett., 2007

A novel quantum swarm evolutionary algorithm and its applications.
Neurocomputing, 2007

A multi-approaches-guided genetic algorithm with application to operon prediction.
Artif. Intell. Medicine, 2007

Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy.
Proceedings of the Advances in Neural Networks, 2007

An Improved Fuzzy Neural Network for Ultrasonic Motors Control.
Proceedings of the Advances in Neural Networks, 2007

Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods.
Proceedings of the Advances in Neural Networks, 2007

A Novel Time-Delay Recurrent Neural Network and Application for Identifying and Controlling Nonlinear Systems.
Proceedings of the Third International Conference on Natural Computation, 2007

Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Text Categorization Method Based on Improved Mutual Information and Characteristic Weights Evaluation Algorithms.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

An Improved Ant Colony Optimization Algorithm Based on Route Optimization and Its Applications in Travelling Salesman Problem.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Identification and Speed Control of Ultrasonic Motors Based on Modified Immune Algorithm and Elman Neural Networks.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

An Improved OIF Elman Neural Network and Its Applications to Stock Market.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Selection for Feature Gene Subset in Microarray Expression Profiles Based on a Hybrid Algorithm Using SVM and GA.
Proceedings of the Frontiers of High Performance Computing and Networking, 2006

A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

An Improved Elman Neural Network with Profit Factors and Its Applications.
Proceedings of the Intelligent Computing, 2006

Mechanism Design and Analysis of Genetic Operations in Solving Traveling Salesman Problems.
Proceedings of the Intelligent Computing, 2006

Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning.
Proceedings of the Computational Science, 2006

Study and Improvement of Iris Location Algorithm.
Proceedings of the Advances in Biometrics, International Conference, 2006

Selection for Feature Gene Subset in Microarray Expression Profiles Based on an Improved Genetic Algorithm.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting.
Neural Comput. Appl., 2005

An improved GA and a novel PSO-GA-based hybrid algorithm.
Inf. Process. Lett., 2005

A Quantile-Data Mapping Model for Value-at-Risk Based on BP and Support Vector Regression.
Proceedings of the Internet and Network Economics, First International Workshop, 2005

Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Multi-category Classification by Least Squares Support Vector Regression.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Equivalence of Classification and Regression Under Support Vector Machine Theory.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Medicine Composition Analysis Based on PCA and SVM.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Determination of Methanol and Ethanol Synchronously in Ternary Mixture by NIRS and PLS Regression.
Proceedings of the Computational Science and Its Applications, 2005

Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

A Hidden Markov Model and Immune Particle Swarm Optimization-Based Algorithm for Multiple Sequence Alignment.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Improved Elman Networks and Applications for Controlling Ultrasonic Motors.
Appl. Artif. Intell., 2004

A Modified Integer-Coding Genetic Algorithm for Job Shop Scheduling Problem.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Time-Delay Recurrent Neural Networks for Dynamic Systems Control.
Proceedings of the Advances in Neural Networks, 2004

A Rough-Set-Based Fuzzy-Neural-Network System for Taste Signal Identification.
Proceedings of the Advances in Neural Networks, 2004

A Hybrid Algorithm Based on PSO and SA and Its Application for Two-Dimensional Non-guillotine Cutting Stock Problem.
Proceedings of the Computational Science, 2004

2003
Solving multi objective optimization problems using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Hybrid evolutionary algorithms based on PSO and GA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Successive approximation training algorithm for feedforward neural networks.
Neurocomputing, 2002

2001
An equivalent genetic algorithm based on extended strings and its convergence analysis.
Inf. Sci., 2001


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