Yanchun Liang

发表

LS-SVR-based solving Volterra integral equations

X. C. Guo, Chunguo Wu, Maurizio Marchese, 2012, Appl. Math. Comput..

Compositional Learning of Relation Paths Embedding for Knowledge Base Completion pdf

Yanchun Liang, Xixun Lin, Renchu Guan, 2016, ArXiv.

Data Preprocessing in SVM-Based Keywords Extraction from Scientific Documents

Chunguo Wu, Maurizio Marchese, Yanchun Liang, 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).

Facial Expression Decoding based on fMRI Brain Signal

Yanchun Liang, Shinichi Yoshida, Renchu Guan, 2019, Int. J. Comput. Commun. Control.

Gravitation field algorithm and its application in gene cluster

Yanchun Liang, Yan Wang, Chunguang Zhou, 2010, Algorithms for Molecular Biology.

IMPROVED ELMAN NETWORKS AND APPLICATIONS FOR CONTROLLING ULTRASONIC MOTORS

Yanchun Liang, X. Xu, Xiaohu Shi, 2004, Appl. Artif. Intell..

An Effective PSO and AIS-Based Hybrid Intelligent Algorithm for Job-Shop Scheduling

Yanchun Liang, Hong-Wei Ge, Liang Sun, 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning

Yuan Tian, Yanchun Liang, Yan Wang, 2017, J. Bioinform. Comput. Biol..

Selection for Feature Gene Subset in Microarray Expression Profiles Based on a Hybrid Algorithm Using SVM and GA

Chen Zhang, Wei Xiong, Yanchun Liang, 2006, ISPA Workshops.

Cooperative differential evolution with fast variable interdependence learning and cross-cluster mutation

Xin Yang, Yanchun Liang, Shinichi Yoshida, 2015, Appl. Soft Comput..

Intelligent Agent-Inspired Genetic Algorithm

Yanchun Liang, C. G. Wu, H. P. Lee, 2005 .

A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization

Chunguo Wu, Yanchun Liang, Jingqing Jiang, 2017, 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).

An integrated algorithm based on artificial bee colony and particle swarm optimization

Yanchun Liang, Renchu Guan, Yanwen Li, 2010, 2010 Sixth International Conference on Natural Computation.

Operon prediction by Markov clustering

Chen Zhang, Enrico Blanzieri, Yanchun Liang, 2014, Int. J. Data Min. Bioinform..

AN ULTRASONIC MOTOR SPEED CONTROL SCHEME BASED ON NEURAL NETWORKS AND ITERATIVE CONTROLLER

Yanchun Liang, Xiaohu Shi, Xuewu Xu, 2004 .

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

Chen Zhang, Enrico Blanzieri, You Zhou, 2009, Bioinform..

Silhouette Index Supervised Affinity Propagation Clustering

Liang Chen, Yanchun Liang, Ying Sun, 2013 .

Medicine Composition Analysis Based on PCA and SVM

Chunguo Wu, Yanchun Liang, Chaoyong Wang, 2005, ICNC.

A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon

Yanchun Liang, Yan Wang, Chunguang Zhou, 2007, ICANNGA.

Successive approximation training algorithm for feedforward neural networks

Yanchun Liang, Siak Piang Lim, Heow Pueh Lee, 2002, Neurocomputing.

Tri-mean-based statistical differential gene expression detection

Yao Wang, Chunguo Wu, Yanchun Liang, 2012, Int. J. Data Min. Bioinform..

An improved genetic algorithm with variable population-size and a PSO-GA based hybrid evolutionary algorithm

Yanchun Liang, Xiaohu Shi, H. P. Lee, 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

A Novel Quantum Swarm Evolutionary Algorithm for Solving 0-1 Knapsack Problem

Yanchun Liang, Yan Wang, Yanxin Huang, 2005, ICNC.

The BBC News Hunter: A Novel Crawler for BBC News

Ning Wang, Yanchun Liang, Guozhong Zhao, 2016, ICYCSEE.

An incremental affinity propagation algorithm and its applications for text clustering

Yanchun Liang, Renchu Guan, Zhili Pei, 2009, 2009 International Joint Conference on Neural Networks.

Approaches and Methods for Operon Prediction based on Machine Learning Techniques

Yan Wang, Yanchun Liang, Chen Zhang, 2010 .

Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization

Chunguo Wu, Yanchun Liang, Chuyi Song, 2011, ICSI.

Improving degree-based variable ordering heuristics for solving constraint satisfaction problems

Yanchun Liang, Dong Xu, Hongbo Li, 2015, J. Heuristics.

Wireless Digital Gas Meter with Lower Power Consumption

Yanchun Liang, Yang Cui, Yu Jiang, 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology.

An equivalent genetic algorithm based on extended strings and its convergence analysis

Yanchun Liang, Siak Piang Lim, Chunguang Zhou, 2001, Inf. Sci..

An Efficient Genetic Algorithm for Optimization Problems with Time-Consuming Fitness Evaluation

Chunguo Wu, Yanchun Liang, Bing-Hong Wang, 2015 .

An Hidden Markov Model-Based Transcription Factor Mining Method

Chunguo Wu, Yanchun Liang, Bing-Hong Wang, 2013 .

Exploring Trends of Cancer Research Based on Topic Model

Yanchun Liang, Renchu Guan, Yuping Li, 2015, IWOST-1.

Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems

Chunguo Wu, Yanchun Liang, Na Zhang, 2007, ICANNGA.

Architecture and key technologies for the mission planning system of space sensor network

Xu Tan, Hao Xu, Yanchun Liang, 2017, Int. J. Sens. Networks.

Hybrid intelligent algorithm and its application in geological hazard risk assessment

Yanchun Liang, Jiaxin Wang, Ming Liu, 2015, Neurocomputing.

PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers

X. C. Guo, Chunguo Wu, Yanchun Liang, 2006, ICONIP.

A Rough-Set-Based Fuzzy-Neural-Network System for Taste Signal Identification

Yanchun Liang, Yan Wang, Shu-Xue Zou, 2004, ISNN.

Protein Folding Shape Code Prediction Based on PSI-BLAST Profile Using Two-Stage Neural Network

Yan Wang, Yanchun Liang, Wei Du, 2012 .

Particle swarm optimization based on dimensional learning strategy

Chunguo Wu, Yanchun Liang, Zhi-hui Zhan, 2019, Swarm Evol. Comput..

Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy

Haiyan Zhao, Chunguo Wu, Yanchun Liang, 2008, 2008 IEEE International Conference on Granular Computing.

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data

Xin Chen, Yuan Tian, Yanchun Liang, 2015, Cognitive Computation.

A Chinese Topic Crawler Focused on Customer Development

Chunguo Wu, Yanchun Liang, Guozhong Zhao, 2016 .

Mechanism Design and Analysis of Genetic Operations in Solving Traveling Salesman Problems

Lu Wang, Maurizio Marchese, Yanchun Liang, 2006, ICIC.

Self-adaptive SVDD integrated with AP clustering for one-class classification

Chunguo Wu, Yanchun Liang, Tong Wu, 2016, Pattern Recognit. Lett..

A Novel Approach for Classifying Human Cancers

Yanchun Liang, Jianxin Wang, Chunguang Zhou, 2008, 2008 The 9th International Conference for Young Computer Scientists.

Social Network Analysis of the Bioinformatics Scholars

Yanchun Liang, Renchu Guan, Zhili Pei, 2013 .

Decorrelation–Separability-Based Affinity Propagation for Semisupervised Clustering of Hyperspectral Images

Lorenzo Bruzzone, Yanchun Liang, Renchu Guan, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

PMTED: a plant microRNA target expression database

Yanchun Liang, Nan Shi, Xiuli Sun, 2013, BMC Bioinformatics.

Machine Learning-Based Keywords Extraction for Scientific Literature

Chunguo Wu, Maurizio Marchese, Yanchun Liang, 2007, J. Univers. Comput. Sci..

Overfitting Reduction of Text Classification Based on AdaBELM

Xu Wang, Yanchun Liang, Renchu Guan, 2017, Entropy.

Selection for Feature Gene Subset in Microarray Expression Profiles Based on an Improved Genetic Algorithm

Chen Zhang, Wei Xiong, Yanchun Liang, 2006, Australian Conference on Artificial Intelligence.

Globally-optimal prediction-based adaptive mutation particle swarm optimization

Chunguo Wu, Yanchun Liang, Jingqing Jiang, 2017, Inf. Sci..

A multi-approaches-guided genetic algorithm with application to operon prediction

Yanchun Liang, Yan Wang, Chunguang Zhou, 2007, Artif. Intell. Medicine.

An Improved Elman Neural Network with Profit Factors and Its Applications

Yanchun Liang, Limin Wang, Xiaohu Shi, 2006, ICIC.

Feature space learning model

Maurizio Marchese, Yanchun Liang, Renchu Guan, 2018, J. Ambient Intell. Humaniz. Comput..

A novel filter feature selection method for paired microarray expression data analysis

Yanchun Liang, Ying Sun, Yan Wang, 2015, Int. J. Data Min. Bioinform..

Gene Expression Regulation in E-Cell Model Analog-Cell

Chunguo Wu, Yanchun Liang, Xiaosong Han, 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology.

A modified particle swarm optimization-based dynamic recurrent neural network for identifying and controlling nonlinear systems

Maurizio Marchese, Yanchun Liang, Hong-Wei Ge, 2007 .

Solving multi objective optimization problems using particle swarm optimization

Xiaohua Liu, Yanchun Liang, Chunguang Zhou, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

A feature selection method based on multiple kernel learning with expression profiles of different types

Yanchun Liang, Ying Li, Tianci Song, 2017, BioData Mining.

A Hybrid Algorithm of Extreme Learning Machine and Sparse Auto-Encoder

Yanchun Liang, Shinichi Yoshida, Renchu Guan, 2016, SmartCom.

An Improved OIF Elman Neural Network and Its Applications to Stock Market

Ming Li, Yanchun Liang, Limin Wang, 2006, KES.

Chunguo Wu, Yanchun Liang, Heow Pueh Lee, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting

Yanchun Liang, W. Z. Lin, Lijuan Cao, 2005, Neural Computing & Applications.

Solving Job Shop Scheduling Problem Using Genetic Algorithm with Penalty Function

Yanchun Liang, Xiaochun Cheng, Liang Sun, 2010, Int. J. Intell. Inf. Process..

Study and Improvement of Iris Location Algorithm

Yanchun Liang, Chunguang Zhou, Xiangdong Liu, 2006, ICB.

A cooperative particle swarm optimizer with statistical variable interdependence learning

Yanchun Liang, Shinichi Yoshida, Xiaochun Cheng, 2012, Inf. Sci..

A resampling ensemble algorithm for classification of imbalance problems

Yanchun Liang, Mu Li, Xiaohu Shi, 2014, Neurocomputing.

A Support Vector and K-Means Based Hybrid Intelligent Data Clustering Algorithm

Yanchun Liang, Shinichi Yoshida, Liang Sun, 2011, IEICE Trans. Inf. Syst..

A content-based recommender system for computer science publications

Donghui Wang, Yanchun Liang, Renchu Guan, 2018, Knowl. Based Syst..

Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods

Chen Zhang, Yanchun Liang, Yan Wang, 2007, ISNN.

Identification and control of nonlinear systems by a time-delay recurrent neural network

Feng Qian, Yanchun Liang, Wenli Du, 2009, Neurocomputing.

Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge

Maurizio Marchese, Yanchun Liang, Mikalai Krapivin, 2008, 2008 Third International Conference on Digital Information Management.

Using Internet Search Engines to Obtain Medical Information: A Comparative Study

Yanchun Liang, John Powell, Dong Xu, 2012, Journal of medical Internet research.

A novel method for RNA secondary structure prediction

Gang Wang, Wei Shen, Yanchun Liang, 2011, 2011 Seventh International Conference on Natural Computation.

A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO

Yanchun Liang, Yanfeng Sun, Yan Wang, 2004, PRICAI.

A fast SVM training algorithm based on the set segmentation and k-means clustering

Yanchun Liang, Gui-Rong Liu, Zhifeng Hao, 2003 .

Dynamic Scheduling for Semiconductor Wafer Fabrication Based on ETAEMS and MAS

Yanchun Liang, Xin Ma, Ying He, 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology.

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines

Xiaowei Yang, Chunguo Wu, Yanchun Liang, 2006, ISNN.

Multi-category Classification by Least Squares Support Vector Regression

Chunguo Wu, Yanchun Liang, Jingqing Jiang, 2005, ISNN.

PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features

Jun Yu, Yanchun Liang, Yan Wang, 2010, Artif. Intell. Medicine.

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins

Xin Chen, Ying Xu, Yanchun Liang, 2016, ADMA.

A Fuzzy Immune GA Scheduling Framework for JSSP

Yanchun Liang, Xiaohu Shi, Xuming Han, 2016 .

An improved GA and a novel PSO-GA-based hybrid algorithm

Chun Lu, Yanchun Liang, Xiaohu Shi, 2005, Inf. Process. Lett..

The Application of Support Vector Machine to Operon Prediction

Chen Zhang, Yanchun Liang, Yan Wang, 2008, 2008 Second International Conference on Future Generation Communication and Networking.

Adaptive and Iterative Least Squares Support Vector Regression based on Quadratic Renyi Entropy

Haiyan Zhao, Chunguo Wu, Yanchun Liang, 2008, GrC.

Deep Learning Analysis and Age Prediction from Shoeprints pdf

Muhammad Hassan, Yan Wang, Yanchun Liang, 2020, ArXiv.

The Application of Fuzzy System Group in Intelligent Diagnosis for Power Tranformer

Yanchun Liang, Xiaohu Shi, Zhexue Li, 2011, 2011 Second International Conference on Digital Manufacturing & Automation.

Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network

Yanchun Liang, Feng Qian, Lu Wang, 2008 .

A novel multi-stage feature selection method for microarray expression data analysis

Chen Zhang, Yanchun Liang, Ying Sun, 2013, Int. J. Data Min. Bioinform..

Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning

Chunguo Wu, Maurizio Marchese, Yanchun Liang, 2006, International Conference on Computational Science.

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

Yu Liu, Yanchun Liang, Chunguang Zhou, 2009, Pattern Recognition Letters.

Equivalence of Classification and Regression Under Support Vector Machine Theory

Xiaowei Yang, Chunguo Wu, Yanchun Liang, 2005, ICNC.

Effective and stable feature selection method based on filter for gene signature identification in paired microarray data

Yanchun Liang, Ying Sun, Yan Wang, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Particle swarm optimization-based algorithms for TSP and generalized TSP

Yanchun Liang, Xiaohu Shi, Q. X. Wang, 2007, Inf. Process. Lett..

Design of Stack Based on Hairpin Structure in DNA Computer

Yanchun Liang, Hong Zheng, Qinghu Wang, 2011 .

A Modified Integer-Coding Genetic Algorithm for Job Shop Scheduling Problem

Chunguo Wu, Yanchun Liang, Wei Xiang, 2004, PRICAI.

An improved artificial immune algorithm with a dynamic threshold

Yanchun Liang, Qiao Zhang, Xu Xu, 2006 .

A synthetic computational-intelligence-based method and its application in identifying water-flooded zones in oil field

Yanchun Liang, Xiaohu Shi, Sheng-Sheng Wang, 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

A time delay neural network for dynamical system control

Yanchun Liang, X. Xu, L. M. Wan, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

A PARTICLE SWARM OPTIMIZATION-BASED ALGORITHM FOR JOB-SHOP SCHEDULING PROBLEMS

Yanchun Liang, X. C. Guo, H. W. Ge, 2005 .

A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy

Yanchun Liang, Yan Wang, Shu-Xue Zou, 2007, ISNN.

User experience evaluation of Google search for obtaining medical knowledge: a case study

Yanchun Liang, Dong Xu, Michael Wang, 2011, Int. J. Data Min. Bioinform..

An Improved Ant Colony Optimization Algorithm Based on Route Optimization and Its Applications in Travelling Salesman Problem

Yanchun Liang, Yi Zhang, Zhi-Li Pei, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

A novel quantum swarm evolutionary algorithm and its applications

Yanchun Liang, Yan Wang, Yanxin Huang, 2007, Neurocomputing.

Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems

Han Huang, Xiaowei Yang, Chunguo Wu, 2005, ICNC.

A Hybrid Algorithm Based on PSO and SA and Its Application for Two-Dimensional Non-guillotine Cutting Stock Problem

Yanchun Liang, Xiaohu Shi, H. P. Lee, 2004, International Conference on Computational Science.

Parameter Selection of Support Vector Regression Based on a Novel Chaotic Immune Algorithm

Yan Wang, Yanchun Liang, Chen Zhang, 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).

An Efficient Artificial Fish Swarm Model with Estimation of Distribution for Flexible Job Shop Scheduling

Xin Chen, Yanchun Liang, Hong-Wei Ge, 2016, Int. J. Comput. Intell. Syst..

Boost particle swarm optimization with fitness estimation

Chunguo Wu, Yanchun Liang, Tingting Li, 2018, Natural Computing.

DNA Algorithm Based on K-Armed Molecule and Sticker Model for Shortest Path Problem

Yanchun Liang, Hong Zheng, Qinghu Wang, 2012 .

Catalog segmentation with double constraints in business

Yu Liu, Yanchun Liang, Chunguang Zhou, 2009, Pattern Recognit. Lett..

A Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images

Lorenzo Bruzzone, Yanchun Liang, Renchu Guan, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Clonal Selection Based Memetic Algorithm for Job Shop Scheduling Problems

Yanchun Liang, Liang Sun, Heow Pueh Lee, 2008 .

Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction

Yanchun Liang, Yan Wang, Chunguang Zhou, 2009, ISNN.

Multi-BP expert system for fault diagnosis of powersystem

Yanchun Liang, Renchu Guan, Xiaohu Shi, 2013, Eng. Appl. Artif. Intell..

IMPRes: Integrative MultiOmics pathway resolution algorithm and tool

Yanchun Liang, Trupti Joshi, Dong Xu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights

Liang Chen, Enrico Blanzieri, Yanchun Liang, 2014, BIBM.

An artificial neural network method for combining gene prediction based on equitable weights

Yanchun Liang, You Zhou, Xiaohu Shi, 2008, Neurocomputing.

Hybrid evolutionary algorithms based on PSO and GA

Yanchun Liang, Chunguang Zhou, Xiaohu Shi, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Text Clustering with Seeds Affinity Propagation

Maurizio Marchese, Yanchun Liang, Renchu Guan, 2011, IEEE Transactions on Knowledge and Data Engineering.

MusiteDeep: a deep‐learning framework for general and kinase‐specific phosphorylation site prediction

Yanchun Liang, Trupti Joshi, Dong Xu, 2017, Bioinform..

Support vector description of clusters for content-based image annotation

Yanchun Liang, Shinichi Yoshida, Guozhen Tan, 2014, Pattern Recognit..

Link Prediction Based on Extended Local Path Gain in Protein-Protein Interaction Network

Liang Chen, Yan Wang, Yanchun Liang, 2019, Tehnicki vjesnik - Technical Gazette.

A Hidden Markov Model and Immune Particle Swarm Optimization-Based Algorithm for Multiple Sequence Alignment

Yanchun Liang, Hong-Wei Ge, Yanchun Liang, 2005, Australian Conference on Artificial Intelligence.

Identification of Salt Tolerance Genes in Rice from Microarray Data using SVM-RFE

Fan Zhang, Yanchun Liang, Yan Wang, 2011, BICoB.

Study on optimization of support vectors

Yanchun Liang, H. P. Lee, L. M. Wan, 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

Incremental and Decremental Affinity Propagation for Semisupervised Clustering in Multispectral Images

Lorenzo Bruzzone, Yanchun Liang, Renchu Guan, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Text Categorization Method Based on Improved Mutual Information and Characteristic Weights Evaluation Algorithms

Maurizio Marchese, Yanchun Liang, Zhi-Li Pei, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display

Yanchun Liang, Renchu Guan, Chen Yang, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Position on Interoperability Everywhere Under IoT-ARM

Fausto Giunchiglia, Hao Xu, Yanchun Liang, 2015, IWOST-1.

Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System

Yanchun Liang, Hong-Wei Ge, Liang Sun, 2005, Australian Conference on Artificial Intelligence.

Cancer Research Trend Analysis Based on Fusion Feature Representation

Yanchun Liang, Renchu Guan, Xiaoyue Feng, 2021, Entropy.

Relating brain structure images to personality characteristics using 3D convolution neural network

Yanchun Liang, Shinichi Yoshida, Yuki Shinomiya, 2021 .

DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning

Yanchun Liang, Wei Du, Ying Li, 2021, Journal of Computer Science and Technology.

Revealing New Technologies in Ocean Engineering Research using Machine Learning

Yanchun Liang, Xin Li, Biqian Chen, 2021 .

Weighted Change-Point Method for Detecting Differential Gene Expression in Breast Cancer Microarray Data

Yanchun Liang, Chong Xing, Chong Xing, 2012, PloS one.

Solving traveling salesman problems by genetic algorithms

Yanchun Liang, Siak Piang Lim, Chunguang Zhou, 2003 .

Lunar impact craters identification and age estimation with Chang'E data by deep and transfer learning

Jon Atli Benediktsson, Lorenzo Bruzzone, Yanchun Liang, 2019, 1912.01240.

Reform and Research of SPOC Blended Teaching Models Against the Backdrop of Internet +

Yanchun Liang, Wei Lv, Guanghui Feng, 2019, Proceedings of the 2019 International Conference on Contemporary Education and Society Development (ICCESD 2019).

Solving traveling salesman problems using generalized chromosome genetic algorithm

Chunguo Wu, Yanchun Liang, Heow Pueh Lee, 2008 .

A computational-intelligence-based optimization of agents' initial positions in land combat simulation

Chunguo Wu, Yanchun Liang, Heow Pueh Lee, 2003 .

An extended Lagrangian support vector machine for classifications

Yanchun Liang, Zhifeng Hao, Xiaowei Yang, 2004 .

IDENTIFICATION OF RESTORING FORCES IN NON-LINEAR VIBRATION SYSTEMS USING FUZZY ADAPTIVE NEURAL NETWORKS

Jonathan E. Cooper, Yanchun Liang, D. P. Feng, 2001 .