Wenbin Pei

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Image Classification

Influence Maximization

Evaluation Methods

Top Venues

IEEE Trans. Evol. Comput.

GECCO Companion

Publications

Xilong Qu, Wenbin Pei, Yingchao Yang, Xirong Xu, Renquan Zhang, Qiang Zhang
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods. CoRR (2024)
Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. AAAI (2024)
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28 (2) (2024)
Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm. CoRR (2024)
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. IEEE Trans. Evol. Comput. 28 (4) (2024)
Zheng Guo, Zhaoping Yu, Wenbin Pei, Chuan Wang, Yaqing Hou, Chenchen Zhang, Zexuan Zhu, Xianneng Li
A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control. CEC (2023)
Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang, Mengjie Zhang
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach. IEEE Trans. Circuits Syst. Video Technol. 33 (10) (2023)
Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels. NeurIPS (2023)
Yunkun Qu, Yingguang Wang, Shanxi Wang, Xiaojun Yu, Yi He, Rui Lu, Sheng Chen, Cheng Meng, Hanqing Xu, Wenbin Pei, Bowei Ni, Rui Zhang, Xiaojian Huang, Hongbo You
A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis. Comput. Biol. Medicine 160 (2023)
Yu Qi, Hongwei Ge, Wenbin Pei, Yuxuan Liu, Yaqing Hou, Liang Sun
Attention-guided spatial-temporal graph relation network for video-based person re-identification. Neural Comput. Appl. 35 (19) (2023)
Zhixiao Sun, Huahua Wu, Yandong Shi, Xiangchao Yu, Yifan Gao, Wenbin Pei, Zhen Yang, Haiyin Piao, Yaqing Hou
Multi-agent air combat with two-stage graph-attention communication. Neural Comput. Appl. 35 (27) (2023)
Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng
Surrogate-Assisted Morphology Optimization by Genetic Algorithms. CEC (2023)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27 (4) (2023)
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. CoRR (2022)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30 (1) (2022)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO (2021)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. IEEE Comput. Intell. Mag. 16 (1) (2021)
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. GECCO Companion (2021)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. Appl. Soft Comput. 101 (2021)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. GECCO Companion (2020)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. Soft Comput. 24 (23) (2020)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC (2020)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. GECCO (Companion) (2019)
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI (2019)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC (2019)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. Australasian Conference on Artificial Intelligence (2018)