Lin Shang

State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

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Papers74 papers

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A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification

Wenbin Pei,Bing Xue,Lin Shang,Mengjie Zhang

GECCO '20: Genetic and Evolutionary Computation Conference Cancún Mexico July,..., pp.149-150, (2020)

EIBibtex

Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism

Wenbin Pei,Bing Xue,Lin Shang,Mengjie Zhang

soft computing, (2020)

Bibtex

A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model

Xiuyi Jia,Weiwei Li,Lin Shang

Information Sciences, (2019): 248-262

Cited by20EIBibtex

A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification

Wenbin Pei,Bing Xue,Mengjie Zhang,Lin Shang

SSCI, pp.1770-1777, (2019)

EIBibtex

New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data

Wenbin Pei,Bing Xue,Lin Shang,Mengjie Zhang

CEC, pp.2779-2786, (2019)

EIBibtex

Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification

Wenbin Pei,Bing Xue,Lin Shang,Mengjie Zhang

GECCO, pp.187-188, (2019)

EIBibtex

Accurate Identification of Electrical Equipment from Power Load Profiles

Ziyi Wang, Chun Li,Lin Shang

pacific-asia conference on knowledge discovery and data mining, pp.43-55, (2019)

EIBibtex

Model the Dynamic Evolution of Facial Expression from Image Sequences

Zhaoxin Huan,Lin Shang

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2018, PT II, (2018): 544-555

Cited by1EIBibtex

Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes

Zeyu Mi,Lin Shang,Bing Xue

ICONIP, pp.486-497, (2018)

Cited by1EIBibtex

Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data

Wenbin Pei,Bing Xue,Lin Shang,Mengjie Zhang

Australasian Conference on Artificial Intelligence, pp.643-655, (2018)

EIBibtex

Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing

Jiatong Huo,Bing Xue,Lin Shang,Mengjie Zhang

Australasian Conference on Artificial Intelligence, pp.169-181, (2017)

EIBibtex

PSO-based parameters selection for the bilateral filter in image denoising

Chengyan Wang,Bing Xue,Lin Shang

GECCO, pp.51-58, (2017)

Cited by4EIBibtex

Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images

Jia He,Lin Shang,Hong Ji, Xiuling Zhang

ICONIP, pp.742-751, (2017)

Cited by1EIBibtex

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation

Qi Chen,Bing Xue,Lin Shang,Mengjie Zhang

GECCO, pp.709-716, (2016)

Cited by17EIBibtex

Minimum cost attribute reduction in three-way decisions based Bayesian network

Xiuyi Jia,Huaxiong Li,Lin Shang

ICMLC, pp.129-134, (2016)

Cited by1EIBibtex

Multi-value image segmentation based on FCM algorithm and Graph Cut Theory

Mengting Xu,Min Guo,Lin Shang,Xiuyi Jia

FUZZ-IEEE, pp.1333-1340, (2016)

Cited by6EIBibtex

Using Canonical Correlation Analysis for Parallelized Attribute Reduction

Ping Li, Mengting Xu, Jianyang Wu,Lin Shang

PRICAI, pp.433-445, (2016)

EIBibtex

Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning

Junxin Tan, Mengting Xu,Lin Shang,Xiuyi Jia

PRICAI, pp.496-506, (2016)

Cited by4EIBibtex

Particle swarm optimization-based feature selection in sentiment classification

Lin Shang,Zhe Zhou,Xing Liu

Soft Comput., no. 10 (2016): 3821-3834

Cited by32EIBibtex

Generalized attribute reduct in rough set theory

Xiuyi Jia,Lin Shang,Bing Zhou,Yiyu Yao

Knowledge-Based Systems, (2016)

Cited by125EIBibtex

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