Quantum-Behaved Particle Swarm Optimization Algorithm with Controlled Diversity. - Jun Sun 008; Wenbo Xu 001; Wei Fang 001 (International Conference on Computational Science (3), 2006)

Solving Multi-period Financial Planning Problem Via Quantum-Behaved Particle Swarm Algorithm. - Jun Sun 008; Wenbo Xu 001; Wei Fang 001 (ICIC (2), 2006)

FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization. - Wei Fang 001; Jun Sun 008; Wenbo Xu 001; Jing Liu 025 (ICICIC (1), 2006)

Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization. - Wei Fang 001; Jun Sun 008; Wenbo Xu 001 (ICNC (2), 2006)

Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization. - Wei Fang 001; Jun Sun 008; Wenbo Xu 001 (IIH-MSP, 2006)

Quantum-Behaved Particle Swarm Optimization with a Hybrid Probability Distribution. - Jun Sun 008; Wenbo Xu 001; Wei Fang 001 (PRICAI, 2006)

Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm. - Jun Sun 008; Wenbo Xu 001; Wei Fang 001 (RSCTC, 2006)

A Diversity-Guided Quantum-Behaved Particle Swarm Optimization Algorithm. - Jun Sun 008; Wenbo Xu 001; Wei Fang 001 (SEAL, 2006)

Quantum-Behaved Particle Swarm Optimization with Binary Encoding. - Jun Sun 008; Wenbo Xu 001; Wei Fang 001; ZhiLei Chai (ICANNGA (1), 2007)

Design of two-dimensional IIR digital filters using an improved quantum-behaved particle swarm optimization algorithm. - Jun Sun 008; Wei Fang 001; Wei Chen; Wenbo Xu 001 (ACC, 2008)

Clustering of Gene Expression Data with Quantum-Behaved Particle Swarm Optimization. - Wei Chen; Jun Sun 008; Yanrui Ding; Wei Fang 001; Wenbo Xu 001 (IEA/AIE, 2008)

A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design. - Wei Fang 001; Jun Sun 008; Wenbo Xu 001 (EURASIP J. Adv. Signal Process., 2009)

A Quantum-Behaved Particle Swarm Optimization With Diversity-Guided Mutation for the Design of Two-Dimensional IIR Digital Filters. - Jun Sun 008; Wei Fang 001; Wenbo Xu 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2010)

Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point. - Jun Sun 008; Wei Fang 001; Vasile Palade; Xiaojun Wu 001; Wenbo Xu 001 (Appl. Math. Comput., 2011)

QoS multicast routing using a quantum-behaved particle swarm optimization algorithm. - Jun Sun 008; Wei Fang 001; Xiaojun Wu 001; Zhenping Xie; Wenbo Xu 001 (Eng. Appl. Artif. Intell., 2011)

Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization. - Jun Sun 008; Wei Fang 001; Xiaojun Wu 001; Choi-Hong Lai; Wenbo Xu 001 (Expert Syst. Appl., 2011)

Study on the compression-expansion coefficient in drift particle swarm optimization. - Wei Fang 001; Jun Sun 008; Xiaojun Wu 001; Wenbo Xu 001; Vasile Palade (IEEE Congress on Evolutionary Computation, 2012)

Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm. - Xiufang Lin; Jun Sun 008; Vasile Palade; Wei Fang 001; Xiaojun Wu 001; Wenbo Xu 001 (ICSI (1), 2012)

Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization. - Jun Sun 008; Wei Chen; Wei Fang 001; Xiaojun Wu 001; Wenbo Xu 001 (Eng. Appl. Artif. Intell., 2012)

Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection. - Jun Sun 008; Wei Fang 001; Xiaojun Wu 001; Vasile Palade; Wenbo Xu 001 (Evol. Comput., 2012)

Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization. - Jun Sun 008; Xiaojun Wu 001; Wei Fang 001; Yanrui Ding; Haixia Long; Wenbo Xu 001 (Inf. Sci., 2012)

Convergence analysis and improvements of quantum-behaved particle swarm optimization. - Jun Sun 008; Xiaojun Wu 001; Vasile Palade; Wei Fang 001; Choi-Hong Lai; Wenbo Xu 001 (Inf. Sci., 2012)

Re-scheduling in railway networks. - Wei Fang 001; Jun Sun 008; Xiaojun Wu 001; Xin Yao 001 (UKCI, 2013)

Random Drift Particle Swarm Optimization. - Jun Sun 008; Xiaojun Wu 001; Vasile Palade; Wei Fang 001; Yuhui Shi 001 (CoRR, 2013)

A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. - Ronghua Shang; Kun Zhang; Licheng Jiao; Wei Fang 001; Xiangrong Zhang; Xiaolin Tian 002 (IEEE Congress on Evolutionary Computation, 2014)

Biochemical systems identification by a random drift particle swarm optimization approach. - Jun Sun 008; Vasile Palade; Yujie Cai; Wei Fang 001; Xiaojun Wu 001 (BMC Bioinform., 2014)

Multiple Sequence Alignment with HiddenMarkov Models Learned by Random DriftParticle Swarm Optimization. - Jun Sun 008; Vasile Palade; Xiaojun Wu 001; Wei Fang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization. - Jun Sun 008; Vasile Palade; Xiaojun Wu 001; Wei Fang 001; Zhenyu Wang (IEEE Trans. Ind. Informatics, 2014)

Clustering Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Dynamic Optimization Problems. - Mengmei Wang; Wei Fang 001; Chaofeng Li (BIC-TA, 2015)

Blind multiply distorted image quality assessment using relevant perceptual features. - Chaofeng Li; Yu Zhang; Xiaojun Wu 001; Wei Fang 001; Li Mao (ICIP, 2015)

Nature-Inspired Algorithms for Real-World Optimization Problems. - Wei Fang 001; Xiaodong Li 001; Mengjie Zhang 001; Mengqi Hu (J. Appl. Math., 2015)

Video quality assessment using content-weighted spatial and temporal pooling method. - Chaofeng Li; Feng Pan 004; Xiaojun Wu 001; Yiwen Ju; Yunhao Yuan 001; Wei Fang 001 (J. Electronic Imaging, 2015)

Random drift particle swarm optimization algorithm: convergence analysis and parameter selection. - Jun Sun 008; Xiaojun Wu 001; Vasile Palade; Wei Fang 001; Yuhui Shi 001 (Mach. Learn., 2015)

Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization. - Wei Fang 001; Jun Sun 008; Xiaojun Wu 001; Vasile Palade (Soft Comput., 2015)

A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks. - Wei Fang 001; Shengxiang Yang; Xin Yao 001 (IEEE Trans. Intell. Transp. Syst., 2015)

Visual Tracking by Sequential Cellular Quantum-Behaved Particle Swarm Optimization Algorithm. - Junyi Hu; Wei Fang 001; Wangtong Ding (BIC-TA (2), 2016)

An opposition-based learning competitive particle swarm optimizer. - Jianhong Zhou; Wei Fang 001; Xiaojun Wu 001; Jun Sun 008; Shi Cheng (CEC, 2016)

Content-Based Image Retrieval Based on Quantum-Behaved Particle Swarm Optimization Algorithm. - Wei Fang 001; Xiaobin Liu (ICSI (1), 2016)

A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. - Wei Fang 001; Jun Sun 008; Huanhuan Chen; Xiaojun Wu 001 (Inf. Sci., 2016)

A novel quantum-behaved particle swarm optimization with random selection for large scale optimization. - Wei Fang 001; Lingzhi Zhang; Jianhong Zhou; Xiaojun Wu 001; Jun Sun 008 (CEC, 2017)

Large Scale WSN Deployment Based on an Improved Cooperative Co-evolution PSO with Global Differential Grouping. - Yazhen Zhang; Wei Fang 001 (SEAL, 2017)

An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning. - Yi-Nan Guo 001; Pei Zhang 014; Jian Cheng 004; Yong Zhang 016; Lingkai Yang; Xiaoning Shen; Wei Fang 001 (ICSI (2), 2017)

Target Tracking by Sequential Random Draft Particle Swarm Optimization Algorithm. - Wangtong Ding; Wei Fang 001 (ISC2, 2018)

A Personalized Recommendation Algorithm Based on MOEA-ProbS. - Xiaoyan Shi; Wei Fang 001; Guizhu Zhang (ICSI (1), 2018)

A Dynamic Global Differential Grouping for Large-Scale Black-Box Optimization. - Shuai Wu; Zhitao Zou; Wei Fang 001 (ICSI (1), 2018)

Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks. - Wei Fang 001; Xinhong Song; Xiaojun Wu 001; Jun Sun 008; Mengqi Hu (Inf. Fusion, 2018)

Modified Self-adaptive Brain Storm Optimization Algorithm for Multimodal Optimization. - Ze-yu Dai 002; Wei Fang 001; Qing Li 001; Wei-neng Chen (BIC-TA (1), 2019)

Differential Grouping with Spectral Clustering for Large Scale Global Optimization. - Lin Li; Wei Fang 001; Quan Wang 009; Jun Sun 008 (CEC, 2019)

Collaborative diversity control strategy for random drift particle swarm optimization. - Chao Li 069; Jun Sun 008; Vasile Palade; Qidong Chen; Wei Fang 001 (GECCO (Companion), 2019)

Research of Multi-objective Personalized Recommendation Algorithm Based on Multi-thread Concurrency. - Xiaoyan Shi; Wei Fang 001; Guizhu Zhang; Shi Cheng; Quan Wang 009 (ICSI (2), 2019)

Improved Genetic Algorithm for High-Utility Itemset Mining. - Qiang Zhang 036; Wei Fang 001; Jun Sun 008; Quan Wang 009 (IEEE Access, 2019)

Graph-structured multitask sparsity model for visual tracking. - Jun Sun 008; Qidong Chen; Jianan Sun; Tao Zhang 010; Wei Fang 001; Xiaojun Wu 001 (Inf. Sci., 2019)

A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. - Wei Fang 001; Lingzhi Zhang; Shengxiang Yang; Jun Sun 008; Xiaojun Wu 001 (IEEE Trans. Cybern., 2019)

An Effective Method of Weld Defect Detection and Classification Based on Machine Vision. - Jun Sun 008; Chao Li 069; Xiao-Jun Wu 001; Vasile Palade; Wei Fang 001 (IEEE Trans. Ind. Informatics, 2019)

Learning Bayesian Networks Structures with an Effective Knowledge-driven GA. - Weijian Zhang; Wei Fang 001; Jun Sun 008; Qidong Chen (CEC, 2020)

A fast GA for automatically evolving CNN architectures. - Zhou Hong; Wei Fang 001; Jun Sun 008; Xiaojun Wu 001 (GECCO Companion, 2020)

Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments. - Wei Fang 001; Lin Wang 095; Peiming Ren (IEEE Access, 2020)

A novel squeeze YOLO-based real-time people counting approach. - Peiming Ren; Lin Wang 095; Wei Fang 001; Shulin Song; Soufiene Djahel (Int. J. Bio Inspired Comput., 2020)

A Many-Objective Evolutionary Algorithm Based on New Angle Penalized Distance. - Junchao Fang; Wei Fang 001 (CEC, 2021)

An Efficient and Flexible Automatic Search Algorithm for Convolution Network Architectures. - Liang Zhao; Wei Fang 001 (CEC, 2021)

Efficient High-utility Itemset Mining Based on a Novel Data Structure. - Wei Shen; Chao Zhang; Wei Fang 001; Xin Zhang 065; Zhi-Hui Zhan; Jerry Chun-Wei Lin (ISC2, 2021)

Large-scale global optimisation using cooperative co-evolution with self-adaptive differential grouping. - Wei Fang 001; Ruigao Min; Quan Wang 009 (Int. J. Autom. Control., 2021)

A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. - Hengyang Lu; Chenyou Fan; Xiaoning Song; Wei Fang 001 (PeerJ Comput. Sci., 2021)

One for "All": a unified model for fine-grained sentiment analysis under three tasks. - Hengyang Lu; Jun Yang 038; Cong Hu; Wei Fang 001 (PeerJ Comput. Sci., 2021)

Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. - Lin Li; Wei Fang 001; Yi Mei 001; Quan Wang 009 (Soft Comput., 2021)

An optima-identified framework with brain storm optimization for multimodal optimization problems. - Zeyu Dai 002; Wei Fang 001; Ke Tang 001; Qing Li 001 (Swarm Evol. Comput., 2021)

Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications. - Heng-Yang Lu; Chenyou Fan; Jun Yang 038; Cong Hu; Wei Fang 001; Xiao-Jun Wu 001 (COLING, 2022)

Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection. - Wei Nie; Hengyang Lu; Wei Fang 001 (PRICAI (2), 2022)

High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. - Wei Fang 001; Qiang Zhang 036; Hengyang Lu; Jerry Chun-Wei Lin (Appl. Soft Comput., 2022)

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Yi Yang 001 (CoRR, 2022)

Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times. - Wei Fang 001; Haolin Zhu; Yi Mei 001 (Knowl. Based Syst., 2022)

Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition. - Wei Fang 001; Chao Xi (IEEE Geosci. Remote. Sens. Lett., 2022)

A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. - Hengyang Lu; Jun Yang 038; Wei Fang 001; Xiaoning Song; Chongjun Wang (Data Technol. Appl., 2022)

Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration. - Xin Zhang 065; Zhi-Hui Zhan; Wei Fang 001; Pengjiang Qian; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2022)

Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. - Wei Fang 001; Qiang Zhang 036; Jun Sun 008; Xiaojun Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Conference Chair Message. - Wei Fang 001; Fanzhang Li; Shitong Wang (ICIS, 2023)

Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. - Tianyi Zhou; Wei Fang 001 (GECCO Companion, 2023)

Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). - Wei Fang 001; Qiang Zhang 036; Jun Sun 008; Xiaojun Wu 001 (ICDE, 2023)

Analyzing and controlling diversity in quantum-behaved particle swarm optimization. - Liwei Li; Jun Sun 008; Chao Li 069; Wei Fang 001; Vasile Palade; Xiao-Jun Wu 001 (CoRR, 2023)

A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop. - Zaihe Cheng; Wei Shen; Wei Fang 001; Jerry Chun-Wei Lin (Complex Syst. Model. Simul., 2023)

An air quality prediction model based on improved Vanilla LSTM with multichannel input and multiroute output. - Wei Fang 001; Runsu Zhu; Jerry Chun-Wei Lin (Expert Syst. Appl., 2023)

An efficient Bayesian network structure learning algorithm based on structural information. - Wei Fang 001; Weijian Zhang; Li Ma; Yunlin Wu; Kefei Yan; Hengyang Lu; Jun Sun 008; Xiaojun Wu 001; Bo Yuan (Swarm Evol. Comput., 2023)

An efficient utility-list based high-utility itemset mining algorithm. - Zaihe Cheng; Wei Fang 001; Wei Shen; Jerry Chun-Wei Lin; Bo Yuan (Appl. Intell., 2023)

Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems. - Xin Zhang 065; Bo-Wen Ding; Xin-Xin Xu 001; Jian-Yu Li; Zhi-Hui Zhan; Pengjiang Qian; Wei Fang 001; Kuei-Kuei Lai; Jun Zhang 003 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. - Wei Fang 001; Zhenhao Zhu; Shuwei Zhu; Jun Sun 008; Xiaojun Wu 001; Zhichao Lu (IEEE Comput. Intell. Mag., 2023)

An efficient biobjective evolutionary algorithm for mining frequent and high utility itemsets. - Wei Fang 001; Chongyang Li; Qiang Zhang 036; Xin Zhang 065; Jerry Chun-Wei Lin (Appl. Soft Comput., 2023)

Efficient automatically evolving convolutional neural network for image denoising. - Wei Fang 001; Zhenhao Zhu; Zhou Hong; Tao Zhang 010; Jun Sun 008; Xiaojun Wu 001 (Memetic Comput., 2023)

Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition. - Yue Jia; Wei Fang 001; Heng-Yang Lu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Mutual Information-Guided GA for Bayesian Network Structure Learning. - Kefei Yan; Wei Fang 001; Hengyang Lu; Xin Zhang 065; Jun Sun 008; Xiaojun Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems. - Xiaotong Li; Wei Fang 001; Shuwei Zhu (Inf. Sci., 2023)

Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion. - Chenyu Qiu; Pengjiang Qian; Chuang Wang 011; Jian Yao 005; Li Liu; Wei Fang 001; Eddie Eddie (EMNLP, 2024)

TextNet: An Neural Architecture Search Method based on Rapid Text Processing Network Structure Analysis. - Siyuan Chen; Wei Fang 001; Shuwei Zhu (GECCO Companion, 2024)

Variable Contribution-Based Differential Evolution for Large-Scale Global Optimization. - Erjie Tian; Xin Zhang 065; Pengjiang Qian; Wei Fang 001; Jian Yao 005 (GECCO Companion, 2024)

GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). - Wei Fang 001; Haipeng Jiang; Hengyang Lu; Jun Sun 008; Xiaojun Wu 001; Jerry Chun-Wei Lin (ICDE, 2024)

Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). - Kefei Yan; Wei Fang 001; Hengyang Lu; Xin Zhang 065; Jun Sun 008; Xiaojun Wu 001 (ICDE, 2024)

High Average-Utility Pattern Mining Based on Genetic Algorithm with a Novel Pruning Strategy. - Qiao Chen; Wei Fang 001 (ICIC (1), 2024)

TeMME: Temporal Knowledge Graph Completion Using Multi-grade Multivector Embeddings. - Heng-Yang Lu; Hao-Kun Yu; Chenyou Fan; Qianyi Zhan; Wei Fang 001; Xiaojun Wu 001 (PRICAI (4), 2024)

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. - Shuwei Zhu; Siying Lv; Kaifeng Chen; Wei Fang 001; Leilei Cao (CoRR, 2024)

An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem. - Xiaotong Li; Wei Fang 001; Shuwei Zhu; Xin Zhang 065 (Swarm Evol. Comput., 2024)

Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration. - Xin Zhang 065; Shaopeng Sun; Jian Yao 005; Wei Fang 001; Pengjiang Qian (Swarm Evol. Comput., 2024)

Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Xiaojun Chang; Wei Fang 001; Xiaojun Wu 001; Abdulmotaleb El-Saddik (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. - Wei Fang 001; Haipeng Jiang; Hengyang Lu; Jun Sun 008; Xiaojun Wu 001; Jerry Chun-Wei Lin (IEEE Trans. Knowl. Data Eng., 2024)

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. - Shuwei Zhu; Ning Sun; Siying Lv; Kaifeng Chen; Wei Fang 001; Leilei Cao (J. Membr. Comput., 2024)

Strip-Shape Kernel Cross Attention Leveraged PCB Defect Detection in High-Resolution Cases. - Sunwei Li; Jiacheng Yang; Shuai Ma; Tao Chen; Zhou Zhou; Pengjiang Qian; Wei Fang 001 (ICIC (20), 2025)

A novel span-based Knowledge-enhanced framework for aspect sentiment triplet extraction. - Hengyang Lu; Rui Cong; Wei Nie; Tianci Liu 009; Wei Fang 001 (Neurocomputing, 2025)

Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation. - Hengyang Lu; Jia-ming Zhang; Yuntao Du 001; Chang Xia; Chongjun Wang; Wei Fang 001; Xiao-jun Wu 001 (Neurocomputing, 2025)

QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis. - Hengyang Lu; Tianci Liu 009; Rui Cong; Jun Yang 038; Qiang Gan 004; Wei Fang 001; Xiaojun Wu 001 (Inf. Process. Manag., 2025)

Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives. - Hengyang Lu; Long-kang Lin; Chenyou Fan; Chongjun Wang; Wei Fang 001; Xiaojun Wu 001 (Knowl. Based Syst., 2025)

MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection. - Hengyang Lu; Xin Guo; Wenyu Jiang; Chenyou Fan; Yuntao Du 001; Zhenhao Shao; Wei Fang 001; Xiaojun Wu 001 (Neural Networks, 2025)

Diversity-based adaptive differential evolution algorithm for multimodal optimization problems. - Chao Li 069; Yuhan Zhai; Vasile Palade; Wei Fang 001; Hengyang Lu; Li Mao; Jun Sun 008 (Swarm Evol. Comput., 2025)

Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization. - Shuwei Zhu; Yimo Zhang; Wei Fang 001; Meiji Cui; Kalyanmoy Deb (Swarm Evol. Comput., 2025)

A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining. - Li Ma; Chongyang Li; Hengyang Lu; Wei Fang 001; Jerry Chun-Wei Lin (Memetic Comput., 2025)