A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (CEC, 2018)

Evolving deep neural networks by multi-objective particle swarm optimization for image classification. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2019)

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. - Bin Wang 044; Yanan Sun 001; Bing Xue 001; Mengjie Zhang 001 (PRICAI (3), 2019)

Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2020)

Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (Deep Neural Evolution, 2020)

Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. - Bin Wang 044; Wenbin Pei; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. - Bin Wang 044; Wenbin Pei; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2022)

An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2022)

Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. - Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

HSMnet: Hybrid Sampling and Matching Network for DETR-based Person Search. - Zhengjie Lu; Jinjia Peng; Huibing Wang; Qingxuan Shi; Bin Wang 044 (MMAsia, 2024)

A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. - Bin Wang 044; Wenbin Pei; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. - Gonglin Yuan; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability. - Quan Long; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2025)

A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks. - Quan Long; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2025)