Guo-Zheng Li

Orcid: 0000-0001-5568-0347

Affiliations:
  • Tongji University, Department of Control Science and Engineering, Shanghai, China
  • Shanghai University, School of Computer Engineering & Science, China
  • Shanghai Jiaotong University, Institute of Image Processing & Pattern Recognition, China


According to our database1, Guo-Zheng Li authored at least 98 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm.
Swarm Evol. Comput., 2024

2021
Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Analysis of the characteristics of hepatitis B in various regions of China from 2009 to 2011 and the analysis of TCM diagnosis and treatment plans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Study on construction and application of knowledge graph of TCM diagnosis and treatment of viral hepatitis B.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Incomplete label distribution learning based on supervised neighborhood information.
Int. J. Mach. Learn. Cybern., 2020

Summarizing Professor Lei Zhang's Therapeutic Experience of Dyspnea Disease Based on Machine Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Analysis of Professor Lei Zhang's Medical Records of Banxia XieXin Decoction Analogous Prescriptions Based on Principle of attribute partial ordering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning.
ACM Trans. Knowl. Discov. Data, 2019

A comprehensive study on color correction for medical facial images.
Int. J. Mach. Learn. Cybern., 2019

Multi-Label Bioinformatics Data Classification With Ensemble Embedded Feature Selection.
IEEE Access, 2019

2018
A bibliometric analysis of text mining in medical research.
Soft Comput., 2018

T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine.
Proceedings of the COLING 2018, 2018

Multi-Label Symptom Analysis and Modeling of TCM Diagnosis of Hypertension.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Feature extraction from medical record text for TCM Zheng classification of psoriasis.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Multi-label learning with globAl densiTy fusiOn Mapping features.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A study of damp-heat syndrome classification using Word2vec and TF-IDF.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Visualized analysis of incomplete TCM meridian conductance data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Prediction of the efficacy of Wuji Pills by machine learning methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Comparing of feature selection and classification methods on report-based subhealth data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A hybrid iterative approach for microarray missing value estimation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

An ensemble embedded feature selection method for multi-label clinical text classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Cough event classification by pretrained deep neural network.
BMC Medical Informatics Decis. Mak., December, 2015

Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.
BMC Bioinform., December, 2015

An empirical comparison of incremental linear feature extraction methods.
Int. J. Wirel. Mob. Comput., 2015

Research on traditional Chinese medicine CBR based on ontology.
Int. J. Comput. Heal., 2015

Multiple cues region growing segmentation on tongue image.
Int. J. Comput. Heal., 2015

Investigating the effects of climate factors on bacillary dysentery transmission in Harbin City, China.
Int. J. Comput. Heal., 2015

MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou's pseudo amino acid composition and a novel multi-label classifier.
Bioinform., 2015

Audio signals encoding for cough classification using convolutional neural networks: A comparative study.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Facial color management for mobile health in the wild.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Triple imputation for microarray missing value estimation.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Incremental partial least squares analysis of big streaming data.
Pattern Recognit., 2014

A Novel Color Correction Framework for Facial Images.
Proceedings of the 2014 International Conference on Medical Biometrics, Shenzhen, Guangdong, China, May 30, 2014

MultiP-SChlo: Multi-label protein subchloroplast localization prediction.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Cough detection using deep neural networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Semi-supervised imputation for microarray missing value estimation.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Multilabel Learning via Random Label Selection for Protein Subcellular Multilocations Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Subhealth state classification with AdaBoost learner.
Int. J. Funct. Informatics Pers. Medicine, 2013

A similarity based learning framework for interim analysis of outcome prediction of acupuncture for neck pain.
Int. J. Data Min. Bioinform., 2013

C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge.
Sci. China Inf. Sci., 2013

Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine.
Sci. China Inf. Sci., 2013

Cough signal recognition with Gammatone Cepstral Coefficients.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Clinical multi-label free text classification by exploiting disease label relation.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Effects of climate factors on bacillary dysentery epidemic in Harbin City, China.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Dimension reduction for p53 protein recognition by using incremental partial least squares.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Customized management of clinical data in traditional Chinese medicine.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

LEVIS: A hypertension dataset in traditional Chinese medicine.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Computerized color analysis for facial diagnosis in traditional Chinese medicine.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Model selection for partial least squares based dimension reduction.
Pattern Recognit. Lett., 2012

Embedded Feature Selection for Multi-label Classification of Music Emotions.
Int. J. Comput. Intell. Syst., 2012

A supervised solution for redundant feature detection depending on instances.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
Feature selection for multi-class problems by using pairwise-class and all-class techniques.
Int. J. Gen. Syst., 2011

Special issue on massive data processing by using machine learning.
Int. J. Gen. Syst., 2011

MAPLSC: A novel multi-class classifier for medical diagnosis.
Int. J. Data Min. Bioinform., 2011

Balance-bagging-PRFS algorithm for feature optimization on insomnia data intervened by traditional Chinese Medicine.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Multi-label Learning for Protein Subcellular Location Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

TCM syndromes diagnostic model of hypertension: Study based on Tree Augmented Naive Bayes.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
An asymmetric classifier based on partial least squares.
Pattern Recognit., 2010

Gene selection by using an improved Fast Correlation-Based Filter.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Multi-class feature selection using Pairwise-class and All-class techniques.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Feature selection for semi-supervised multi-label learning with application to gene function analysis.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

Overview of PAKDD Competition 2007.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2009
Feature Selection for Partial Least Square Based Dimension Reduction.
Proceedings of the Foundations of Computational Intelligence, 2009

Combining support vector regression with feature selection for multivariate calibration.
Neural Comput. Appl., 2009

An Enhanced Lipschitz Embedding Classifier for Multi-Emotion Speech Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2009

Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes.
Int. J. Data Min. Bioinform., 2009

A TCM Platform for Maters' Experience Sharing.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Redundant Gene Selection Based on Particle Swarm Optimization.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

2008
Overview of PAKDD Competition 2007.
Int. J. Data Warehous. Min., 2008

A Personalized Traditional Chinese Medicine System in the case of Cai's gynecology.
Int. J. Funct. Informatics Pers. Medicine, 2008

Feature selection for gene function prediction using multi-labelled lazy learning.
Int. J. Funct. Informatics Pers. Medicine, 2008

Feature selection for the imbalanced QSAR problems by using EasyEnsemble.
Int. J. Comput. Biol. Drug Des., 2008

Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection.
Int. J. Comput. Biol. Drug Des., 2008

Dimension reduction with redundant gene elimination for tumor classification.
BMC Bioinform., 2008

Asymmetric bagging and feature selection for activities prediction of drug molecules.
BMC Bioinform., 2008

A Novel Metric for Redundant Gene Elimination Based on Discriminative Contribution.
Proceedings of the Bioinformatics Research and Applications, 2008

Using Rough Reducts Based SVM Ensemble for SAR of the Ethofenprox Analogous of Pesticide.
Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008

Embedded Gene Selection for Imbalanced Microarray Data Analysis.
Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008

A Novel Classifier Based on Enhanced Lipschitz Embedding for Speech Emotion Recognition.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Abnormal Traffic Detection in VoIP by Using Machine Learning Approaches.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

2007
On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules.
Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

Support Vector Machines Applied to Research of Ancient Chinese Porcelain: Modeling of Jun Glaze.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

Feature Selection for Co-Training: A QSAR Study.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task Learning.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Degree prediction of malignancy in brain glioma using support vector machines.
Comput. Biol. Medicine, 2006

Feature Selection for Bagging of Support Vector Machines.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Classification of Brain Glioma by Using SVMs Bagging with Feature Selection.
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006

Estimation of the Future Earthquake Situation by Using Neural Networks Ensemble.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004
Semiempirical Quantum Chemical Method and Artificial Neural Networks Applied for lambda<sub>m</sub><sub>ax</sub> Computation of Some Azo Dyes.
J. Chem. Inf. Model., 2004

Feature Selection for Multi-class Problems Using Support Vector Machines.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

On Multivariate Calibration Problems.
Proceedings of the Advances in Neural Networks, 2004

2003
An Improved Branch & Bound Algorithm in Feature Selection.
Proceedings of the Rough Sets, 2003


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