Wenbin Pei

42 papers A* 2A 1B 4Journal 27Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification.
CoRR
Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-ming Cheung
2026 J jnl
EvoSampling: A Granular Ball-Based Evolutionary Hybrid Sampling With Knowledge Transfer for Imbalanced Learning [Research Frontier].
IEEE Comput. Intell. Mag.
Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-ming Cheung, Shuyin Xia
2025 J jnl
A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design.
IEEE Trans. Syst. Man Cybern. Syst.
Yaqing Hou, Zhaoping Yu, Zheng Guo, Wenbin Pei, Yaoxin Wu, Hongwei Ge, Bing Xue, Mengjie Zhang
2025 J jnl
Critical nodes detection for complex networks via knowledge-guided evolutionary framework.
Eng. Appl. Artif. Intell.
Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Hisao Ishibuchi
2025 J jnl
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning.
IEEE Trans. Evol. Comput.
Wenbin Pei, Yuyang Cui, Bing Xue, Mengjie Zhang, Jiqing Zhang, Yaqing Hou, Guangyu Zou, Qiang Zhang
2025 J jnl
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.
IEEE Trans. Multim.
Hua Yu, Yaqing Hou, Wenbin Pei, Yew-Soon Ong, Qiang Zhang
2025 J jnl
Efficient hypergraph collective influence maximization in cascading processes based on general threshold model.
Inf. Sci.
Xilong Qu, Qiang Zhang, Yinchao Yang, Xirong Xu, Wenbin Pei, Renquan Zhang
2025 J jnl
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations.
IEEE Trans. Emerg. Top. Comput. Intell.
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2025 J jnl
HWL-HIN: A Hypergraph-Level Hypergraph Isomorphism Network as Powerful as the Hypergraph Weisfeiler-Lehman Test with Application to Higher-Order Network Robustness.
CoRR
Chengyu Tian, Wenbin Pei
2024 J jnl
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification.
IEEE Trans. Evol. Comput.
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2024 J jnl
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
IEEE Trans. Evol. Comput.
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang
2024 A* conf
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification.
AAAI
Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma
2024 J jnl
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction.
CoRR
Hua Yu, Yaqing Hou, Wenbin Pei, Qiang Zhang
2024 J jnl
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning.
CoRR
Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-ming Cheung, Shuyin Xia
2024 J jnl
Federated Unlearning Model Recovery in Data with Skewed Label Distributions.
CoRR
Xinrui Yu, Wenbin Pei, Bing Xue, Qiang Zhang
2024 J jnl
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm.
CoRR
Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi
2024 J jnl
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods.
CoRR
Xilong Qu, Wenbin Pei, Yingchao Yang, Xirong Xu, Renquan Zhang, Qiang Zhang
2024 J jnl
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba.
CoRR
Li Wu, Wenbin Pei, Jiulong Jiao, Qiang Zhang
2023 B conf
A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control.
CEC
Zheng Guo, Zhaoping Yu, Wenbin Pei, Chuan Wang, Yaqing Hou, Chenchen Zhang, Zexuan Zhu, Xianneng Li
2023 J jnl
A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis.
Comput. Biol. Medicine
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
2023 J jnl
Attention-guided spatial-temporal graph relation network for video-based person re-identification.
Neural Comput. Appl.
Yu Qi, Hongwei Ge, Wenbin Pei, Yuxuan Liu, Yaqing Hou, Liang Sun
2023 J jnl
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2023 J jnl
Multi-agent air combat with two-stage graph-attention communication.
Neural Comput. Appl.
Zhixiao Sun, Huahua Wu, Yandong Shi, Xiangchao Yu, Yifan Gao, Wenbin Pei, Zhen Yang, Haiyin Piao, Yaqing Hou
2023 A* conf
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels.
NeurIPS
Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma
2023 B conf
Surrogate-Assisted Morphology Optimization by Genetic Algorithms.
CEC
Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng
2023 J jnl
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.
IEEE Trans. Circuits Syst. Video Technol.
Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang, Mengjie Zhang
2022 J jnl
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations.
CoRR
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2022 J jnl
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 J jnl
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 — conf
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification.
GECCO Companion
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang
2021 A conf
Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
GECCO
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 J jnl
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 B conf
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
CEC
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 — conf
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
GECCO Companion
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 J jnl
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2019 — conf
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
SSCI
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang
2019 B conf
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
CEC
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2019 — conf
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
GECCO (Companion)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2018 — conf
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Australasian Conference on Artificial Intelligence
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2015 — conf
Multi-decision-makers-based Monotonic Variable Consistency Rough Set Approach with Multiple Attributes and Criteria.
RSFDGrC
Wenbin Pei, He Lin, Li Li
2015 — conf
Stochastic Processes-based Rough Set Approach Involving Monotonic Variable Consistency Measures.
FSKD
Wenbin Pei, He Lin
2014 — conf
Optimal-Neighborhood Statistics Rough Set Approach with Multiple Attributes and Criteria.
RSKT
Wenbin Pei, He Lin, Lingyue Li