Wei Fang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 41

Top Topics

Top Venues

IEEE Trans. Knowl. Data Eng.

Swarm Evol. Comput.

Publications

Erjie Tian, Xin Zhang, Pengjiang Qian, Wei Fang, Jian Yao
Variable Contribution-Based Differential Evolution for Large-Scale Global Optimization. GECCO Companion (2024)
Xiaotong Li, Wei Fang, Shuwei Zhu, Xin Zhang
An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem. Swarm Evol. Comput. 86 (2024)
Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao
Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. CoRR (2024)
Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). ICDE (2024)
Qiao Chen, Wei Fang
High Average-Utility Pattern Mining Based on Genetic Algorithm with a Novel Pruning Strategy. ICIC (1) (2024)
Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Zaihe Cheng, Wei Shen, Wei Fang, Jerry Chun-Wei Lin
A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop. Complex Syst. Model. Simul. 3 (1) (2023)
Xin Zhang, Bo-Wen Ding, Xin-Xin Xu, Jian-Yu Li, Zhi-Hui Zhan, Pengjiang Qian, Wei Fang, Kuei-Kuei Lai, Jun Zhang
Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. 53 (4) (2023)
Wei Fang, Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract). ICDE (2023)
Liwei Li, Jun Sun, Chao Li, Wei Fang, Vasile Palade, Xiao-Jun Wu
Analyzing and controlling diversity in quantum-behaved particle swarm optimization. CoRR (2023)
Xiaotong Li, Wei Fang, Shuwei Zhu
An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems. Inf. Sci. 648 (2023)
Wei Fang, Chongyang Li, Qiang Zhang, Xin Zhang, Jerry Chun-Wei Lin
An efficient biobjective evolutionary algorithm for mining frequent and high utility itemsets. Appl. Soft Comput. 140 (2023)
Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, Bo Yuan
An efficient Bayesian network structure learning algorithm based on structural information. Swarm Evol. Comput. 76 (2023)
Wei Fang, Zhenhao Zhu, Zhou Hong, Tao Zhang, Jun Sun, Xiaojun Wu
Efficient automatically evolving convolutional neural network for image denoising. Memetic Comput. 15 (2) (2023)
Yue Jia, Wei Fang, Heng-Yang Lu
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. 22 (6) (2023)
Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Wei Fang, Runsu Zhu, Jerry Chun-Wei Lin
LSTM with multichannel input and multiroute output. Expert Syst. Appl. 211 (2023)
Zaihe Cheng, Wei Fang, Wei Shen, Jerry Chun-Wei Lin, Bo Yuan
An efficient utility-list based high-utility itemset mining algorithm. Appl. Intell. 53 (6) (2023)
Tianyi Zhou, Wei Fang
Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler. GECCO Companion (2023)
Hengyang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technol. Appl. 56 (5) (2022)
Wei Fang, Qiang Zhang, Hengyang Lu, Jerry Chun-Wei Lin
High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. Appl. Soft Comput. 124 (2022)
Wei Fang, Chao Xi
Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xin Zhang, Zhi-Hui Zhan, Wei Fang, Pengjiang Qian, Jun Zhang
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration. IEEE Trans. Evol. Comput. 26 (3) (2022)
Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Lin Li, Wei Fang, Yi Mei, Quan Wang
Cooperative coevolution for large-scale global optimization based on fuzzy decomposition. Soft Comput. 25 (5) (2021)
Peiming Ren, Lin Wang, Wei Fang, Shulin Song, Soufiene Djahel
A novel squeeze YOLO-based real-time people counting approach. Int. J. Bio Inspired Comput. 16 (2) (2020)
Weijian Zhang, Wei Fang, Jun Sun, Qidong Chen
Learning Bayesian Networks Structures with an Effective Knowledge-driven GA. CEC (2020)
Wei Fang, Lin Wang, Peiming Ren
Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments. IEEE Access 8 (2020)
Jun Sun, Chao Li, Xiao-Jun Wu, Vasile Palade, Wei Fang
An Effective Method of Weld Defect Detection and Classification Based on Machine Vision. IEEE Trans. Ind. Informatics 15 (12) (2019)
Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. IEEE Trans. Cybern. 49 (7) (2019)
Chao Li, Jun Sun, Vasile Palade, Qidong Chen, Wei Fang
Collaborative diversity control strategy for random drift particle swarm optimization. GECCO (Companion) (2019)
Lin Li, Wei Fang, Quan Wang, Jun Sun
Differential Grouping with Spectral Clustering for Large Scale Global Optimization. CEC (2019)
Jun Sun, Qidong Chen, Jianan Sun, Tao Zhang, Wei Fang, Xiaojun Wu
Graph-structured multitask sparsity model for visual tracking. Inf. Sci. 486 (2019)
Xiaoyan Shi, Wei Fang, Guizhu Zhang, Shi Cheng, Quan Wang
Research of Multi-objective Personalized Recommendation Algorithm Based on Multi-thread Concurrency. ICSI (2) (2019)
Qiang Zhang, Wei Fang, Jun Sun, Quan Wang
Improved Genetic Algorithm for High-Utility Itemset Mining. IEEE Access 7 (2019)
Wei Fang, Xinhong Song, Xiaojun Wu, Jun Sun, Mengqi Hu
Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks. Inf. Fusion 41 (2018)
Wei Fang, Lingzhi Zhang, Jianhong Zhou, Xiaojun Wu, Jun Sun
A novel quantum-behaved particle swarm optimization with random selection for large scale optimization. CEC (2017)
Jianhong Zhou, Wei Fang, Xiaojun Wu, Jun Sun, Shi Cheng
An opposition-based learning competitive particle swarm optimizer. CEC (2016)
Wei Fang, Jun Sun, Huanhuan Chen, Xiaojun Wu
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. Inf. Sci. 330 (2016)
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi
Random drift particle swarm optimization algorithm: convergence analysis and parameter selection. Mach. Learn. 101 (1-3) (2015)
Wei Fang, Jun Sun, Xiaojun Wu, Vasile Palade
Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization. Soft Comput. 19 (6) (2015)
Chaofeng Li, Yu Zhang, Xiaojun Wu, Wei Fang, Li Mao
Blind multiply distorted image quality assessment using relevant perceptual features. ICIP (2015)
Chaofeng Li, Feng Pan, Xiaojun Wu, Yiwen Ju, Yunhao Yuan, Wei Fang
Video quality assessment using content-weighted spatial and temporal pooling method. J. Electronic Imaging 24 (5) (2015)
Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang
Multiple Sequence Alignment with HiddenMarkov Models Learned by Random DriftParticle Swarm Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (1) (2014)
Jun Sun, Vasile Palade, Xiaojun Wu, Wei Fang, Zhenyu Wang
Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization. IEEE Trans. Ind. Informatics 10 (1) (2014)
Jun Sun, Vasile Palade, Yujie Cai, Wei Fang, Xiaojun Wu
Biochemical systems identification by a random drift particle swarm optimization approach. BMC Bioinform. 15 (S-6) (2014)
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi
Random Drift Particle Swarm Optimization. CoRR (2013)
Wei Fang, Jun Sun, Xiaojun Wu, Xin Yao
Re-scheduling in railway networks. UKCI (2013)
Jun Sun, Xiaojun Wu, Wei Fang, Yanrui Ding, Haixia Long, Wenbo Xu
Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization. Inf. Sci. 182 (1) (2012)
Jun Sun, Wei Fang, Xiaojun Wu, Vasile Palade, Wenbo Xu
Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection. Evol. Comput. 20 (3) (2012)
Jun Sun, Wei Chen, Wei Fang, Xiaojun Wu, Wenbo Xu
Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization. Eng. Appl. Artif. Intell. 25 (2) (2012)
Xiufang Lin, Jun Sun, Vasile Palade, Wei Fang, Xiaojun Wu, Wenbo Xu
Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm. ICSI (1) (2012)
Wei Fang, Jun Sun, Xiaojun Wu, Wenbo Xu, Vasile Palade
Study on the compression-expansion coefficient in drift particle swarm optimization. IEEE Congress on Evolutionary Computation (2012)
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Choi-Hong Lai, Wenbo Xu
Convergence analysis and improvements of quantum-behaved particle swarm optimization. Inf. Sci. 193 (2012)
Jun Sun, Wei Fang, Vasile Palade, Xiaojun Wu, Wenbo Xu
Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point. Appl. Math. Comput. 218 (7) (2011)
Jun Sun, Wei Fang, Xiaojun Wu, Zhenping Xie, Wenbo Xu
QoS multicast routing using a quantum-behaved particle swarm optimization algorithm. Eng. Appl. Artif. Intell. 24 (1) (2011)
Jun Sun, Wei Fang, Xiaojun Wu, Choi-Hong Lai, Wenbo Xu
Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization. Expert Syst. Appl. 38 (6) (2011)
Jun Sun, Wei Fang, Wenbo Xu
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 (2) (2010)
Wei Fang, Jun Sun, Wenbo Xu
A New Mutated Quantum-Behaved Particle Swarm Optimizer for Digital IIR Filter Design. EURASIP J. Adv. Signal Process. 2009 (2009)
Wei Chen, Jun Sun, Yanrui Ding, Wei Fang, Wenbo Xu
Clustering of Gene Expression Data with Quantum-Behaved Particle Swarm Optimization. IEA/AIE (2008)
Jun Sun, Wenbo Xu, Wei Fang, ZhiLei Chai
Quantum-Behaved Particle Swarm Optimization with Binary Encoding. ICANNGA (1) (2007)
Jun Sun, Wenbo Xu, Wei Fang
Quantum-Behaved Particle Swarm Optimization with a Hybrid Probability Distribution. PRICAI (2006)
Wei Fang, Jun Sun, Wenbo Xu, Jing Liu
FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization. ICICIC (1) (2006)
Jun Sun, Wenbo Xu, Wei Fang
A Diversity-Guided Quantum-Behaved Particle Swarm Optimization Algorithm. SEAL (2006)
Wei Fang, Jun Sun, Wenbo Xu
Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization. IIH-MSP (2006)
Jun Sun, Wenbo Xu, Wei Fang
Solving Multi-period Financial Planning Problem Via Quantum-Behaved Particle Swarm Algorithm. ICIC (2) (2006)
Jun Sun, Wenbo Xu, Wei Fang
Quantum-Behaved Particle Swarm Optimization Algorithm with Controlled Diversity. International Conference on Computational Science (3) (2006)
Jun Sun, Wenbo Xu, Wei Fang
Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm. RSCTC (2006)
Wei Fang, Jun Sun, Wenbo Xu
Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization. ICNC (2) (2006)