Wei Fang - RankMe

126 papers A* 4B 12C 3Misc 1Journal 74Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A cooperative co-evolutionary algorithm with core-based grouping strategy for large-scale 0-1 knapsack problems. Expert Syst. Appl. Xiaotong Li, Shuwei Zhu, Wei Fang, Kalyanmoy Deb
2026	J	`jnl`	A novel reference solution selection strategy based on auxiliary space for large-scale multi-objective optimization. Inf. Sci. Meiji Cui, Wenping Wang, Shuwei Zhu, Wei Fang, Mengchu Tian
2026	J	`jnl`	A swarm intelligence optimization algorithm on riemannian manifolds. Swarm Evol. Comput. Min Shan, Yeerjiang Halimu, Jun Sun, Wei Fang, Vasile Palade
2026	J	`jnl`	M2PP: Effective Path Planning Based on Multi-Phase Particle Swarm Optimization and Multi-Scenario Adaptative DWA. IEEE Trans Autom. Sci. Eng. Chao Li, Hao Chen, Jun Sun, Wei Fang, Vasile Palade, Xiaojun Wu
2026	J	`jnl`	RDPSO-based multi-robot cooperation method for target search in unknown environments. Expert Syst. Appl. Si Wang, Jun Sun, Wei Fang, Vasile Palade
2025	—	`conf`	A Multi-Agent Framework for Fine-Grained Multimodal Named Entity Recognition through Check and Reasoning. MMAsia Heng-Yang Lu, Xintong Liu, Xingda Shang, Wei Fang, Xiao-Jun Wu
2025	J	`jnl`	A clustering-based weighted optimization algorithm for large-scale multi-objective optimization problems. Memetic Comput. Hao Wang, Shuwei Zhu, Wei Fang
2025	J	`jnl`	A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining. Memetic Comput. Li Ma, Chongyang Li, Hengyang Lu, Wei Fang, Jerry Chun-Wei Lin
2025	J	`jnl`	A novel span-based Knowledge-enhanced framework for aspect sentiment triplet extraction. Neurocomputing Hengyang Lu, Rui Cong, Wei Nie, Tianci Liu, Wei Fang
2025	J	`jnl`	Adaptive Switching Surrogate Model for Evolutionary Multi-Objective Community Detection Algorithm. Symmetry Nan Sun, Siying Lv, Xiaoying Xiang, Shuwei Zhu, Hengyang Lu, Wei Fang
2025	B	`conf`	Adaptive surrogate-assisted evolutionary multi-objective community detection algorithm with core node learning. CEC Siying Lv, Shuwei Zhu, Wei Fang
2025	J	`jnl`	An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems. Swarm Evol. Comput. Hao Wang, Shuwei Zhu, Wei Fang, Kalyanmoy Deb
2025	J	`jnl`	Critical vector based evolutionary algorithm for large-scale multi-objective optimization. Clust. Comput. Shuwei Zhu, Wenping Wang, Wei Fang, Meiji Cui
2025	J	`jnl`	Diversity-based adaptive differential evolution algorithm for multimodal optimization problems. Swarm Evol. Comput. Chao Li, Yuhan Zhai, Vasile Palade, Wei Fang, Hengyang Lu, Li Mao, Jun Sun
2025	—	`conf`	Efficient Pretrained Model for Surrogate-assisted High-Dimensional Expensive Multi-objective Optimization. GECCO Companion Jiajun Li, Shuwei Zhu, Wei Fang
2025	J	`jnl`	Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation. Neurocomputing Hengyang Lu, Jiaming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiao-Jun Wu
2025	J	`jnl`	Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives. Knowl. Based Syst. Hengyang Lu, Long-kang Lin, Chenyou Fan, Chongjun Wang, Wei Fang, Xiaojun Wu
2025	J	`jnl`	MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection. Neural Networks Hengyang Lu, Xin Guo, Wenyu Jiang, Chenyou Fan, Yuntao Du, Zhenhao Shao, Wei Fang, Xiaojun Wu
2025	J	`jnl`	QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis. Inf. Process. Manag. Hengyang Lu, Tianci Liu, Rui Cong, Jun Yang, Qiang Gan, Wei Fang, Xiaojun Wu
2025	—	`conf`	Ranking-prediction based evolutionary algorithm for expensive many-objective optimization problems. GECCO Companion Yimo Zhang, Shuwei Zhu, Wei Fang, Kalyanmoy Deb, Meiji Cui
2025	J	`jnl`	Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization. Swarm Evol. Comput. Shuwei Zhu, Yimo Zhang, Wei Fang, Meiji Cui, Kalyanmoy Deb
2025	J	`jnl`	Rumor detection for emergency events via few-shot ensembled prompt learning. J. Intell. Inf. Syst. Chen Su, Junkang Zhou, Zhentao Jiang, Shuwei Zhu, Chao Li, Wei Fang, Heng-Yang Lu
2025	—	`conf`	Strip-Shape Kernel Cross Attention Leveraged PCB Defect Detection in High-Resolution Cases. ICIC (20) Sunwei Li, Jiacheng Yang, Shuai Ma, Tao Chen, Zhou Zhou, Pengjiang Qian, Wei Fang
2024	J	`jnl`	An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem. Swarm Evol. Comput. Xiaotong Li, Wei Fang, Shuwei Zhu, Xin Zhang
2024	A*	`conf`	GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). ICDE Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin
2024	J	`jnl`	GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Trans. Knowl. Data Eng. Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin
2024	—	`conf`	High Average-Utility Pattern Mining Based on Genetic Algorithm with a Novel Pruning Strategy. ICIC (1) Qiao Chen, Wei Fang
2024	A*	`conf`	Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion. EMNLP Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Wei Fang, Eddie Eddie
2024	J	`jnl`	Multi-population genetic algorithm with crowding-based local search for fuzzy multi-objective supply chain configuration. Swarm Evol. Comput. Xin Zhang, Shaopeng Sun, Jian Yao, Wei Fang, Pengjiang Qian
2024	A*	`conf`	Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). ICDE Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
2024	J	`jnl`	Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. CoRR Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao
2024	J	`jnl`	Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. J. Membr. Comput. Shuwei Zhu, Ning Sun, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao
2024	J	`jnl`	Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El Saddik
2024	—	`conf`	TeMME: Temporal Knowledge Graph Completion Using Multi-grade Multivector Embeddings. PRICAI (4) Heng-Yang Lu, Hao-Kun Yu, Chenyou Fan, Qianyi Zhan, Wei Fang, Xiaojun Wu
2024	—	`conf`	TextNet: An Neural Architecture Search Method based on Rapid Text Processing Network Structure Analysis. GECCO Companion Siyuan Chen, Wei Fang, Shuwei Zhu
2024	—	`conf`	Variable Contribution-Based Differential Evolution for Large-Scale Global Optimization. GECCO Companion Erjie Tian, Xin Zhang, Pengjiang Qian, Wei Fang, Jian Yao
2023	J	`jnl`	A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop. Complex Syst. Model. Simul. Zaihe Cheng, Wei Shen, Wei Fang, Jerry Chun-Wei Lin
2023	J	`jnl`	An air quality prediction model based on improved Expert Syst. Appl. Wei Fang, Runsu Zhu, Jerry Chun-Wei Lin
2023	J	`jnl`	An efficient Bayesian network structure learning algorithm based on structural information. Swarm Evol. Comput. Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, Bo Yuan
2023	J	`jnl`	An efficient biobjective evolutionary algorithm for mining frequent and high utility itemsets. Appl. Soft Comput. Wei Fang, Chongyang Li, Qiang Zhang, Xin Zhang, Jerry Chun-Wei Lin
2023	J	`jnl`	An efficient utility-list based high-utility itemset mining algorithm. Appl. Intell. Zaihe Cheng, Wei Fang, Wei Shen, Jerry Chun-Wei Lin, Bo Yuan
2023	J	`jnl`	An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems. Inf. Sci. Xiaotong Li, Wei Fang, Shuwei Zhu
2023	J	`jnl`	Analyzing and controlling diversity in quantum-behaved particle swarm optimization. CoRR Liwei Li, Jun Sun, Chao Li, Wei Fang, Vasile Palade, Xiao-Jun Wu
2023	C	`conf`	Conference Chair Message. ICIS Wei Fang, Fanzhang Li, Shitong Wang
2023	J	`jnl`	Efficient automatically evolving convolutional neural network for image denoising. Memetic Comput. Wei Fang, Zhenhao Zhu, Zhou Hong, Tao Zhang, Jun Sun, Xiaojun Wu
2023	J	`jnl`	Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. Xin Zhang, Bo-Wen Ding, Xin-Xin Xu, Jian-Yu Li, Zhi-Hui Zhan, Pengjiang Qian, Wei Fang, Kuei-Kuei Lai, Jun Zhang
2023	J	`jnl`	LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. IEEE Comput. Intell. Mag. Wei Fang, Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu
2023	A*	`conf`	Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). ICDE Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu
2023	J	`jnl`	Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Trans. Knowl. Data Eng. Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
2023	J	`jnl`	Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. Yue Jia, Wei Fang, Heng-Yang Lu
2023	—	`conf`	Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. GECCO Companion Tianyi Zhou, Wei Fang
2022	J	`jnl`	A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technol. Appl. Hengyang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang
2022	J	`jnl`	High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. Appl. Soft Comput. Wei Fang, Qiang Zhang, Hengyang Lu, Jerry Chun-Wei Lin
2022	J	`jnl`	Hybrid meta-heuristics for the unrelated parallel machine scheduling problem with setup times. Knowl. Based Syst. Wei Fang, Haolin Zhu, Yi Mei
2022	J	`jnl`	Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition. IEEE Geosci. Remote. Sens. Lett. Wei Fang, Chao Xi
2022	J	`jnl`	Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. IEEE Trans. Knowl. Data Eng. Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu
2022	J	`jnl`	Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration. IEEE Trans. Evol. Comput. Xin Zhang, Zhi-Hui Zhan, Wei Fang, Pengjiang Qian, Jun Zhang
2022	—	`conf`	Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection. PRICAI (2) Wei Nie, Hengyang Lu, Wei Fang
2022	J	`jnl`	Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang
2022	B	`conf`	Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications. COLING Heng-Yang Lu, Chenyou Fan, Jun Yang, Cong Hu, Wei Fang, Xiao-Jun Wu
2021	B	`conf`	A Many-Objective Evolutionary Algorithm Based on New Angle Penalized Distance. CEC Junchao Fang, Wei Fang
2021	J	`jnl`	A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. PeerJ Comput. Sci. Hengyang Lu, Chenyou Fan, Xiaoning Song, Wei Fang
2021	B	`conf`	An Efficient and Flexible Automatic Search Algorithm for Convolution Network Architectures. CEC Liang Zhao, Wei Fang
2021	J	`jnl`	An optima-identified framework with brain storm optimization for multimodal optimization problems. Swarm Evol. Comput. Zeyu Dai, Wei Fang, Ke Tang, Qing Li
2021	J	`jnl`	Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. Soft Comput. Lin Li, Wei Fang, Yi Mei, Quan Wang
2021	—	`conf`	Efficient High-utility Itemset Mining Based on a Novel Data Structure. ISC2 Wei Shen, Chao Zhang, Wei Fang, Xin Zhang, Zhi-Hui Zhan, Jerry Chun-Wei Lin
2021	J	`jnl`	Large-scale global optimisation using cooperative co-evolution with self-adaptive differential grouping. Int. J. Autom. Control. Wei Fang, Ruigao Min, Quan Wang
2021	J	`jnl`	One for "All": a unified model for fine-grained sentiment analysis under three tasks. PeerJ Comput. Sci. Hengyang Lu, Jun Yang, Cong Hu, Wei Fang
2020	—	`conf`	A fast GA for automatically evolving CNN architectures. GECCO Companion Zhou Hong, Wei Fang, Jun Sun, Xiaojun Wu
2020	J	`jnl`	A novel squeeze YOLO-based real-time people counting approach. Int. J. Bio Inspired Comput. Peiming Ren, Lin Wang, Wei Fang, Shulin Song, Soufiene Djahel
2020	B	`conf`	Learning Bayesian Networks Structures with an Effective Knowledge-driven GA. CEC Weijian Zhang, Wei Fang, Jun Sun, Qidong Chen
2020	J	`jnl`	Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments. IEEE Access Wei Fang, Lin Wang, Peiming Ren
2019	J	`jnl`	A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. IEEE Trans. Cybern. Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu
2019	J	`jnl`	An Effective Method of Weld Defect Detection and Classification Based on Machine Vision. IEEE Trans. Ind. Informatics Jun Sun, Chao Li, Xiao-Jun Wu, Vasile Palade, Wei Fang
2019	—	`conf`	Collaborative diversity control strategy for random drift particle swarm optimization. GECCO (Companion) Chao Li, Jun Sun, Vasile Palade, Qidong Chen, Wei Fang
2019	B	`conf`	Differential Grouping with Spectral Clustering for Large Scale Global Optimization. CEC Lin Li, Wei Fang, Quan Wang, Jun Sun
2019	J	`jnl`	Graph-structured multitask sparsity model for visual tracking. Inf. Sci. Jun Sun, Qidong Chen, Jianan Sun, Tao Zhang, Wei Fang, Xiaojun Wu
2019	J	`jnl`	Improved Genetic Algorithm for High-Utility Itemset Mining. IEEE Access Qiang Zhang, Wei Fang, Jun Sun, Quan Wang
2019	—	`conf`	Modified Self-adaptive Brain Storm Optimization Algorithm for Multimodal Optimization. BIC-TA (1) Ze-yu Dai, Wei Fang, Qing Li, Wei-Neng Chen
2019	—	`conf`	Research of Multi-objective Personalized Recommendation Algorithm Based on Multi-thread Concurrency. ICSI (2) Xiaoyan Shi, Wei Fang, Guizhu Zhang, Shi Cheng, Quan Wang
2018	—	`conf`	A Dynamic Global Differential Grouping for Large-Scale Black-Box Optimization. ICSI (1) Shuai Wu, Zhitao Zou, Wei Fang
2018	—	`conf`	A Personalized Recommendation Algorithm Based on MOEA-ProbS. ICSI (1) Xiaoyan Shi, Wei Fang, Guizhu Zhang
2018	J	`jnl`	Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks. Inf. Fusion Wei Fang, Xinhong Song, Xiaojun Wu, Jun Sun, Mengqi Hu
2018	—	`conf`	Target Tracking by Sequential Random Draft Particle Swarm Optimization Algorithm. ISC2 Wangtong Ding, Wei Fang
2017	B	`conf`	A novel quantum-behaved particle swarm optimization with random selection for large scale optimization. CEC Wei Fang, Lingzhi Zhang, Jianhong Zhou, Xiaojun Wu, Jun Sun
2017	—	`conf`	An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning. ICSI (2) Yi-Nan Guo, Pei Zhang, Jian Cheng, Yong Zhang, Lingkai Yang, Xiaoning Shen, Wei Fang
2017	—	`conf`	Large Scale WSN Deployment Based on an Improved Cooperative Co-evolution PSO with Global Differential Grouping. SEAL Yazhen Zhang, Wei Fang
2016	J	`jnl`	A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. Inf. Sci. Wei Fang, Jun Sun, Huanhuan Chen, Xiaojun Wu
2016	B	`conf`	An opposition-based learning competitive particle swarm optimizer. CEC Jianhong Zhou, Wei Fang, Xiaojun Wu, Jun Sun, Shi Cheng
2016	—	`conf`	Content-Based Image Retrieval Based on Quantum-Behaved Particle Swarm Optimization Algorithm. ICSI (1) Wei Fang, Xiaobin Liu
2016	—	`conf`	Visual Tracking by Sequential Cellular Quantum-Behaved Particle Swarm Optimization Algorithm. BIC-TA (2) Junyi Hu, Wei Fang, Wangtong Ding
2015	J	`jnl`	A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks. IEEE Trans. Intell. Transp. Syst. Wei Fang, Shengxiang Yang, Xin Yao
2015	J	`jnl`	Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization. Soft Comput. Wei Fang, Jun Sun, Xiaojun Wu, Vasile Palade
2015	B	`conf`	Blind multiply distorted image quality assessment using relevant perceptual features. ICIP Chaofeng Li, Yu Zhang, Xiaojun Wu, Wei Fang, Li Mao
2015	—	`conf`	Clustering Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Dynamic Optimization Problems. BIC-TA Mengmei Wang, Wei Fang, Chaofeng Li
2015	J	`jnl`	Nature-Inspired Algorithms for Real-World Optimization Problems. J. Appl. Math. Wei Fang, Xiaodong Li, Mengjie Zhang, Mengqi Hu
2015	J	`jnl`	Random drift particle swarm optimization algorithm: convergence analysis and parameter selection. Mach. Learn. Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi
2015	J	`jnl`	Video quality assessment using content-weighted spatial and temporal pooling method. J. Electronic Imaging Chaofeng Li, Feng Pan, Xiaojun Wu, Yiwen Ju, Yunhao Yuan, Wei Fang
2014	B	`conf`	A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. IEEE Congress on Evolutionary Computation Ronghua Shang, Kun Zhang, Licheng Jiao, Wei Fang, Xiangrong Zhang, Xiaolin Tian
2014	J	`jnl`	Biochemical systems identification by a random drift particle swarm optimization approach. BMC Bioinform. Jun Sun, Vasile Palade, Yujie Cai, Wei Fang, Xiaojun Wu
2014	J	`jnl`	Multiple Sequence Alignment with HiddenMarkov Models Learned by Random DriftParticle Swarm Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang
2014	J	`jnl`	Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization. IEEE Trans. Ind. Informatics Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang, Zhenyu Wang
2013	J	`jnl`	Random Drift Particle Swarm Optimization. CoRR Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi
2013	—	`conf`	Re-scheduling in railway networks. UKCI Wei Fang, Jun Sun, Xiaojun Wu, Xin Yao
2012	J	`jnl`	Convergence analysis and improvements of quantum-behaved particle swarm optimization. Inf. Sci. Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Choi-Hong Lai, Wenbo Xu
2012	J	`jnl`	Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization. Eng. Appl. Artif. Intell. Jun Sun, Wei Chen, Wei Fang, Xiaojun Wu, Wenbo Xu
2012	J	`jnl`	Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization. Inf. Sci. Jun Sun, Xiaojun Wu, Wei Fang, Yanrui Ding, Haixia Long, Wenbo Xu
2012	J	`jnl`	Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection. Evol. Comput. Jun Sun, Wei Fang, Xiaojun Wu, Vasile Palade, Wenbo Xu
2012	B	`conf`	Study on the compression-expansion coefficient in drift particle swarm optimization. IEEE Congress on Evolutionary Computation Wei Fang, Jun Sun, Xiaojun Wu, Wenbo Xu, Vasile Palade
2012	—	`conf`	Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm. ICSI (1) Xiufang Lin, Jun Sun, Vasile Palade, Wei Fang, Xiaojun Wu, Wenbo Xu
2011	J	`jnl`	QoS multicast routing using a quantum-behaved particle swarm optimization algorithm. Eng. Appl. Artif. Intell. Jun Sun, Wei Fang, Xiaojun Wu, Zhenping Xie, Wenbo Xu
2011	J	`jnl`	Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point. Appl. Math. Comput. Jun Sun, Wei Fang, Vasile Palade, Xiaojun Wu, Wenbo Xu
2011	J	`jnl`	Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization. Expert Syst. Appl. Jun Sun, Wei Fang, Xiaojun Wu, Choi-Hong Lai, Wenbo Xu
2010	J	`jnl`	A Quantum-Behaved Particle Swarm Optimization With Diversity-Guided Mutation for the Design of Two-Dimensional IIR Digital Filters. IEEE Trans. Circuits Syst. II Express Briefs Jun Sun, Wei Fang, Wenbo Xu
2009	J	`jnl`	A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design. EURASIP J. Adv. Signal Process. Wei Fang, Jun Sun, Wenbo Xu
2008	C	`conf`	Clustering of Gene Expression Data with Quantum-Behaved Particle Swarm Optimization. IEA/AIE Wei Chen, Jun Sun, Yanrui Ding, Wei Fang, Wenbo Xu
2008	C	`conf`	Design of two-dimensional IIR digital filters using an improved quantum-behaved particle swarm optimization algorithm. ACC Jun Sun, Wei Fang, Wei Chen, Wenbo Xu
2007	—	`conf`	Quantum-Behaved Particle Swarm Optimization with Binary Encoding. ICANNGA (1) Jun Sun, Wenbo Xu, Wei Fang, Zhilei Chai
2006	—	`conf`	A Diversity-Guided Quantum-Behaved Particle Swarm Optimization Algorithm. SEAL Jun Sun, Wenbo Xu, Wei Fang
2006	—	`conf`	Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization. ICNC (2) Wei Fang, Jun Sun, Wenbo Xu
2006	—	`conf`	Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization. IIH-MSP Wei Fang, Jun Sun, Wenbo Xu
2006	—	`conf`	Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm. RSCTC Jun Sun, Wenbo Xu, Wei Fang
2006	—	`conf`	FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization. ICICIC (1) Wei Fang, Jun Sun, Wenbo Xu, Jing Liu
2006	Misc	`conf`	Quantum-Behaved Particle Swarm Optimization Algorithm with Controlled Diversity. International Conference on Computational Science (3) Jun Sun, Wenbo Xu, Wei Fang
2006	B	`conf`	Quantum-Behaved Particle Swarm Optimization with a Hybrid Probability Distribution. PRICAI Jun Sun, Wenbo Xu, Wei Fang
2006	—	`conf`	Solving Multi-period Financial Planning Problem Via Quantum-Behaved Particle Swarm Algorithm. ICIC (2) Jun Sun, Wenbo Xu, Wei Fang