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ORCIDWenbin Pei
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- affiliation: Victoria University of Wellington, New Zealand
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2020 – today
- 2025
[j12]Xilong Qu, Qiang Zhang, Yinchao Yang, Xirong Xu, Wenbin Pei, Renquan Zhang:
Efficient hypergraph collective influence maximization in cascading processes based on general threshold model. Inf. Sci. 700: 121816 (2025)- 2024
- [j11]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): 353-373 (2024) - [j10]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): 903-917 (2024) - [c12]Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma:
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. AAAI 2024: 14079-14087 - [i7]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 abs/2402.00404 (2024) - [i6]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 abs/2405.09185 (2024) - [i5]Hua Yu, Yaqing Hou, Wenbin Pei, Qiang Zhang:
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction. CoRR abs/2409.00014 (2024) - [i4]Li Wu, Wenbin Pei, Jiulong Jiao, Qiang Zhang:
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba. CoRR abs/2410.11278 (2024) - [i3]Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-Ming Cheung, Shuyin Xia:
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning. CoRR abs/2412.10461 (2024) - [i2]Xinrui Yu, Wenbin Pei, Bing Xue, Qiang Zhang:
Federated Unlearning Model Recovery in Data with Skewed Label Distributions. CoRR abs/2412.13466 (2024) - 2023
- [j9]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: 106926 (2023) - [j8]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): 14227-14241 (2023) - [j7]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): 19765-19781 (2023) - [j6]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): 5707-5720 (2023) - [j5]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): 1130-1144 (2023) - [c11]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: 1-8 - [c10]Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng:
Surrogate-Assisted Morphology Optimization by Genetic Algorithms. CEC 2023: 1-8 - [c9]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 - 2022
- [j4]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): 99-129 (2022) - [i1]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. CoRR abs/2211.15143 (2022) - 2021
- [j3]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: 106989 (2021) - [j2]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): 84-98 (2021) - [c8]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. GECCO Companion 2021: 173-174 - [c7]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO 2021: 349-357 - 2020
- [j1]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): 18021-18038 (2020) - [c6]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC 2020: 1-8 - [c5]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: 149-150
2010 – 2019
- 2019
- [c4]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC 2019: 2779-2786 - [c3]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: 187-188 - [c2]Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang:
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI 2019: 1770-1777 - 2018
- [c1]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: 643-655
Coauthor Index
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last updated on 2025-01-24 17:14 CET by the dblp team
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