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ORCIDJun Sun 0008
Person information
- affiliation (PhD 2009): Jiangnan University, School of Information Technology, Wuxi, China
Other persons with the same name
- Jun Sun — disambiguation page
- Jun Sun 0001
![[0000-0002-3545-1392]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3545-1392")
— Singapore Management University, Singapore (and 2 more) - Jun Sun 0002 — DoCoMo Communication Laboratories Inc., San Jose, CA, USA (and 1 more)
- Jun Sun 0003 — Stanford University, USA
- Jun Sun 0004 — Fujitsu R&D Center, Beijing, China (and 1 more)
- Jun Sun 0005 — Shanghai Jiaotong University, Institute of Image Communication and Information Processing, China
- Jun Sun 0007 — MIT, Cambridge, MA, USA
- Jun Sun 0009 — Shanghai Jiao Tong University, Dept. of Electronic Engineering, China
- Jun Sun 0010 — Tsinghua University, School of Aerospace, Beijing, China
- Jun Sun 0011 — GESIS, Germany (and 1 more)
- Jun Sun 0012 — Peking University, Wangxuan Institute of Computer Science, Beijing, China
- Jun Sun 0013 — University of Texas Rio Grande Valley, Edinburg, TX, USA (and 1 more)
- Jun Sun 0014 — Zhejiang University, State Key Laboratory of Industrial Control Technology, China
- Jun Sun 0015 — Shanghai Aerospace Control Technology Institute, Shanghai, China
- Jun Sun 0016 — Anhui Province Children's Hospital of China, China
- Jun Sun 0017 — Beihang University, Beijing, China
- Jun Sun 0018 — Huazhong Agricultural University, College of Informatics, Hubei Key Laboratory of Agricultural Bioinformatics, China
- Jun Sun 0019 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China
- Jun Sun 0020 — Huazhong University of Science and Technology, Wuhan, China
- Jun Sun 0021 — Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- Jun Sun 0022 — University of Calgary, Department of Mechanical and Manufacturing Engineering, Alberta Research Council, Canada
- Jun Sun 0023 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
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Journal Articles
- 2024
[j57]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): 652-667 (2024)- 2023
- [j56]Zhongjie Mao, Yipeng Zhou, Jun Sun, Hao Wu, Feng Pan, Bilal Ahmad:
Weakly-supervised object localization with gradient-pyramid feature. Appl. Intell. 53(3): 2923-2935 (2023) - [j55]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): 78-93 (2023) - [j54]Qi You, Jun Sun, Vasile Palade, Feng Pan:
Quantum-behaved particle swarm optimization with dynamic grouping searching strategy. Intell. Data Anal. 27(3): 769-789 (2023) - [j53]Qidong Chen, Jun Sun, Vasile Palade, Zihao Yu:
Continual relation extraction via linear mode connectivity and interval cross training. Knowl. Based Syst. 264: 110288 (2023) - [j52]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): 219-235 (2023) - [j51]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: 101224 (2023) - [j50]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): 8282-8299 (2023) - 2022
- [j49]Hao Wu, Dongliang Ma, Zhongjie Mao, Jun Sun:
SSRFD: single shot real-time face detector. Appl. Intell. 52(10): 11916-11927 (2022) - [j48]Chao Li, Jinxing Li, Jun Sun, Li Mao, Vasile Palade, Bilal Ahmad:
Parallel multi-swarm cooperative particle swarm optimization for protein-ligand docking and virtual screening. BMC Bioinform. 23(1): 201 (2022) - [j47]Jinxing Li, Chao Li, Jun Sun, Vasile Palade:
RDPSOVina: the random drift particle swarm optimization for protein-ligand docking. J. Comput. Aided Mol. Des. 36(6): 415-425 (2022) - [j46]Huiling Wang, Jun Sun, Xiaofeng Gu, Wei Song:
A novel multi-scale and sparsity auto-encoder for classification. Int. J. Mach. Learn. Cybern. 13(12): 3909-3925 (2022) - [j45]Jianjun Liu, Dunbin Shen, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan:
Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1024-1038 (2022) - [j44]Chao Li, Jun Sun, Li-Wei Li, Xiaojun Wu, Vasile Palade:
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2672-2684 (2022) - [j43]Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu:
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. IEEE Trans. Knowl. Data Eng. 34(8): 3883-3898 (2022) - 2021
- [j42]Chao Li, Jun Sun, Li Liu, Vasile Palade:
A hybrid framework for brain tissue segmentation in magnetic resonance images. Int. J. Imaging Syst. Technol. 31(4): 2305-2321 (2021) - [j41]Chao Li, Jun Sun, Vasile Palade:
MSLDOCK: Multi-Swarm Optimization for Flexible Ligand Docking and Virtual Screening. J. Chem. Inf. Model. 61(3): 1500-1515 (2021) - [j40]Chao Li, Jun Sun, Vasile Palade, Li-Wei Li:
Diversity collaboratively guided random drift particle swarm optimization. Int. J. Mach. Learn. Cybern. 12(9): 2617-2638 (2021) - 2020
- [j39]Chao Li, Jun Sun, Vasile Palade:
Diversity-guided Lamarckian random drift particle swarm optimization for flexible ligand docking. BMC Bioinform. 21(1): 286 (2020) - [j38]Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Learning efficient structured dictionary for image classification. J. Electronic Imaging 29(3): 033019 (2020) - [j37]Zi-Qi Li, Jun Sun, Xiaojun Wu, He-Feng Yin:
Multiplication fusion of sparse and collaborative-competitive representation for image classification. Int. J. Mach. Learn. Cybern. 11(10): 2357-2369 (2020) - [j36]Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan:
Generalized Tensor Regression for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(2): 1244-1258 (2020) - [j35]Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan:
A Truncated Matrix Decomposition for Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 29: 8028-8042 (2020) - 2019
- [j34]Qidong Chen, Jun Sun, Vasile Palade, Xiaoqian Shi, Li Liu:
Hierarchical Clustering Based Band Selection Algorithm for Hyperspectral Face Recognition. IEEE Access 7: 24333-24342 (2019) - [j33]Qidong Chen, Jun Sun, Vasile Palade:
Distributed Contribution-Based Quantum-Behaved Particle Swarm Optimization With Controlled Diversity for Large-Scale Global Optimization Problems. IEEE Access 7: 150093-150104 (2019) - [j32]Qiang Zhang, Wei Fang, Jun Sun, Quan Wang:
Improved Genetic Algorithm for High-Utility Itemset Mining. IEEE Access 7: 176799-176813 (2019) - [j31]Jun Sun, Qidong Chen, Jianan Sun, Tao Zhang, Wei Fang, Xiaojun Wu:
Graph-structured multitask sparsity model for visual tracking. Inf. Sci. 486: 133-147 (2019) - [j30]Zi-Qi Li, Jun Sun, Xiao-Jun Wu, Hefeng Yin:
Sparsity augmented weighted collaborative representation for image classification. J. Electronic Imaging 28(5): 053032 (2019) - [j29]Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu:
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. IEEE Trans. Cybern. 49(7): 2732-2743 (2019) - [j28]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): 6322-6333 (2019) - 2018
- [j27]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: 25-36 (2018) - [j26]Tao Zhang, Jingjing Li, Wenjing Jia, Jun Sun, Huihua Yang:
Fast and robust occluded face detection in ATM surveillance. Pattern Recognit. Lett. 107: 33-40 (2018) - [j25]Tao Zhang, Wenjing Jia, Chen Gong, Jun Sun, Xiaoning Song:
Semi-supervised dictionary learning via local sparse constraints for violence detection. Pattern Recognit. Lett. 107: 98-104 (2018) - 2016
- [j24]Maolong Xi, Jun Sun, Li Liu, Fangyun Fan, Xiaojun Wu:
Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine. Comput. Math. Methods Medicine 2016: 3572705:1-3572705:9 (2016) - [j23]Wei Fang, Jun Sun, Huanhuan Chen, Xiaojun Wu:
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population. Inf. Sci. 330: 19-48 (2016) - 2015
- [j22]Maolong Xi, Zhiming Qi, Ye Zou, G. S. Vijaya Raghavan, Jun Sun:
Calibrating RZWQM2 model using quantum-behaved particle swarm optimization algorithm. Comput. Electron. Agric. 113: 72-80 (2015) - [j21]Zhenping Xie, Jun Sun, Vasile Palade, Shitong Wang, Yuan Liu:
Evolutionary sampling: A novel way of machine learning within a probabilistic framework. Inf. Sci. 299: 262-282 (2015) - [j20]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): 345-376 (2015) - [j19]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): 1715-1725 (2015) - 2014
- [j18]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): S1 (2014) - [j17]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): 243-257 (2014) - [j16]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): 222-232 (2014) - 2012
- [j15]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): 376-391 (2012) - [j14]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): 349-393 (2012) - [j13]Ji Zhao, Jun Sun, Vasile Palade:
Tracking Multiple Optima in Dynamic Environments by Quantum-Behavior Particle Swarm Using Speciation. Int. J. Swarm Intell. Res. 3(1): 55-76 (2012) - [j12]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): 93-114 (2012) - [j11]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: 81-103 (2012) - 2011
- [j10]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): 3763-3775 (2011) - [j9]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): 123-131 (2011) - [j8]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): 6727-6735 (2011) - [j7]Ji Zhao, Jun Sun, Choi-Hong Lai, Wenbo Xu:
An improved quantum-behaved particle swarm optimization for multi-peak optimization problems. Int. J. Comput. Math. 88(3): 517-532 (2011) - [j6]Di Zhou, Jun Sun, Choi-Hong Lai, Wenbo Xu, Xiaoguang Lee:
An improved quantum-behaved particle swarm optimization and its application to medical image registration. Int. J. Comput. Math. 88(6): 1208-1223 (2011) - 2010
- [j5]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 57-II(2): 141-145 (2010) - [j4]Hao Gao, Wenbo Xu, Jun Sun, Yulan Tang:
Multilevel Thresholding for Image Segmentation Through an Improved Quantum-Behaved Particle Swarm Algorithm. IEEE Trans. Instrum. Meas. 59(4): 934-946 (2010) - 2009
- [j3]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) - 2008
- [j2]Maolong Xi, Jun Sun, Wenbo Xu:
An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position. Appl. Math. Comput. 205(2): 751-759 (2008) - 2007
- [j1]Jun Sun, Jing Liu, Wenbo Xu:
Using quantum-behaved particle swarm optimization algorithm to solve non-linear programming problems. Int. J. Comput. Math. 84(2): 261-272 (2007)
Conference and Workshop Papers
- 2020
- [c49]Weijian Zhang, Wei Fang, Jun Sun, Qidong Chen:
Learning Bayesian Networks Structures with an Effective Knowledge-driven GA. CEC 2020: 1-8 - [c48]Zhou Hong, Wei Fang, Jun Sun, Xiaojun Wu:
A fast GA for automatically evolving CNN architectures. GECCO Companion 2020: 213-214 - 2019
- [c47]Lin Li, Wei Fang, Quan Wang, Jun Sun:
Differential Grouping with Spectral Clustering for Large Scale Global Optimization. CEC 2019: 334-341 - [c46]Chao Li, Jun Sun, Vasile Palade, Qidong Chen, Wei Fang:
Collaborative diversity control strategy for random drift particle swarm optimization. GECCO (Companion) 2019: 99-100 - [c45]Dongliang Ma, Haipeng Zhang, Hao Wu, Tao Zhang, Jun Sun:
Estimating Difficulty Score of Visual Search in Images for Semi-supervised Object Detection. PKAW 2019: 1-9 - [c44]Dongliang Ma, Hao Wu, Jun Sun, Chunjing Yu, Li Liu:
A Light-Weight Context-Aware Self-Attention Model for Skin Lesion Segmentation. PRICAI (3) 2019: 501-505 - [c43]Qidong Chen, Jun Sun, Vasile Palade, Chao Li, Zhongjie Mao, Hao Wu:
Hierarchical Competition Framework for Particle Swarm Optimization. ICSI (1) 2019: 156-166 - 2018
- [c42]Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiaojun Wu:
Supervised Image Classification with Self-Paced Regularization. ICDM Workshops 2018: 411-414 - 2017
- [c41]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: 2746-2751 - 2016
- [c40]Jianhong Zhou, Wei Fang, Xiaojun Wu, Jun Sun, Shi Cheng:
An opposition-based learning competitive particle swarm optimizer. CEC 2016: 515-521 - 2013
- [c39]Wei Fang, Jun Sun, Xiaojun Wu, Xin Yao:
Re-scheduling in railway networks. UKCI 2013: 342-352 - 2012
- [c38]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: 1-6 - [c37]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: 148-155 - 2010
- [c36]Chengyuan Li, Haixia Long, Yanrui Ding, Jun Sun, Wenbo Xu:
Multiple Sequence Alignment by Improved Hidden Markov Model Training and Quantum-Behaved Particle Swarm Optimization. LSMS/ICSEE 2010: 358-366 - 2009
- [c35]Xiaogen Wang, Jun Sun, Wenbo Xu:
A Parallel QPSO Algorithm Using Neighborhood Topology Model. CSIE (4) 2009: 831-835 - [c34]Jing Zhao, Jun Sun, Wenbo Xu, Di Zhou:
Structure Learning of Bayesian Networks Based on Discrete Binary Quantum-Behaved Particle Swarm Optimization Algorithm. ICNC (6) 2009: 86-90 - [c33]Haixia Long, Wenbo Xu, Jun Sun, Wen-Juan Ji:
Multiple Sequence Alignment Based on a Binary Particle Swarm Optimization Algorithm. ICNC (3) 2009: 265-269 - [c32]Ji Zhao, Jun Sun, Wenbo Xu:
Application of Online System Identification Based on Improved Quantum-Behaved Particle Swarm Optimization. ISCID (2) 2009: 186-189 - 2008
- [c31]Jun Sun, Wei Fang, Wei Chen, Wenbo Xu:
Design of two-dimensional IIR digital filters using an improved quantum-behaved particle swarm optimization algorithm. ACC 2008: 2603-2608 - [c30]Wei Chen, Jun Sun, Yanrui Ding, Wei Fang, Wenbo Xu:
Clustering of Gene Expression Data with Quantum-Behaved Particle Swarm Optimization. IEA/AIE 2008: 388-396 - 2007
- [c29]Hao Wang, Shiqin Yang, Wenbo Xu, Jun Sun:
Scalability of Hybrid Fuzzy C-Means Algorithm Based on Quantum-Behaved PSO. FSKD (2) 2007: 261-265 - [c28]Jun Sun, Wenbo Xu, Wei Fang, ZhiLei Chai:
Quantum-Behaved Particle Swarm Optimization with Binary Encoding. ICANNGA (1) 2007: 376-385 - [c27]Jun Sun, Choi-Hong Lai, Wenbo Xu, ZhiLei Chai:
A Novel and More Efficient Search Strategy of Quantum-Behaved Particle Swarm Optimization. ICANNGA (1) 2007: 394-403 - [c26]Xiaohong Kong, Jun Sun, Bin Ye, Wenbo Xu:
An Efficient Quantum-Behaved Particle Swarm Optimization for Multiprocessor Scheduling. International Conference on Computational Science (1) 2007: 278-285 - [c25]Jun Sun, Choi-Hong Lai, Wenbo Xu, Yanrui Ding, ZhiLei Chai:
A Modified Quantum-Behaved Particle Swarm Optimization. International Conference on Computational Science (1) 2007: 294-301 - 2006
- [c24]Jun Sun, Wenbo Xu, Bin Ye:
Quantum-Behaved Particle Swarm Optimization Clustering Algorithm. ADMA 2006: 340-347 - [c23]Jing Liu, Jun Sun, Wenbo Xu, X. H. Kong:
Quantum-behaved particle swarm optimization based on immune memory and vaccination. GrC 2006: 453-456 - [c22]Jun Sun, Wenbo Xu, Wei Fang:
Quantum-Behaved Particle Swarm Optimization Algorithm with Controlled Diversity. International Conference on Computational Science (3) 2006: 847-854 - [c21]Jing Liu, Jun Sun, Wenbo Xu:
Improving Quantum-Behaved Particle Swarm Optimization by Simulated Annealing. ICIC (3) 2006: 130-136 - [c20]Bin Ye, Jun Sun, Wenbo Xu:
Solving the Hard Knapsack Problems with a Binary Particle Swarm Approach. ICIC (3) 2006: 155-163 - [c19]Jun Sun, Wenbo Xu, Wei Fang:
Solving Multi-period Financial Planning Problem Via Quantum-Behaved Particle Swarm Algorithm. ICIC (2) 2006: 1158-1169 - [c18]Wei Fang, Jun Sun, Wenbo Xu, Jing Liu:
FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization. ICICIC (1) 2006: 615-619 - [c17]Wei Fang, Jun Sun, Wenbo Xu:
Design IIR Digital Filters Using Quantum-Behaved Particle Swarm Optimization. ICNC (2) 2006: 637-640 - [c16]Jing Liu, Jun Sun, Wenbo Xu:
Quantum-Behaved Particle Swarm Optimization with Adaptive Mutation Operator. ICNC (1) 2006: 959-967 - [c15]Jing Liu, Jun Sun, Wenbo Xu:
Quantum-Behaved Particle Swarm Optimization for Integer Programming. ICONIP (2) 2006: 1042-1050 - [c14]Jun Sun, Wenbo Xu, Jing Liu:
Training RBF Neural Network Via Quantum-Behaved Particle Swarm Optimization. ICONIP (2) 2006: 1156-1163 - [c13]Jing Liu, Jun Sun, Wenbo Xu:
QoS Multicast Routing Based on Particle Swarm Optimization. IDEAL 2006: 936-943 - [c12]Wei Fang, Jun Sun, Wenbo Xu:
Design of Two-Dimensional Recursive Filters by Using Quantum-Behaved Particle Swarm Optimization. IIH-MSP 2006: 240-243 - [c11]Xiaohong Kong, Jun Sun, Wenbo Xu:
Particle Swarm Algorithm for Tasks Scheduling in Distributed Heterogeneous System. ISDA (2) 2006: 690-695 - [c10]Jing Liu, Jun Sun, Wenbo Xu:
Quantum-Behaved Particle Swarm Optimization with Immune Operator. ISMIS 2006: 77-83 - [c9]Jun Sun, Wenbo Xu, Wei Fang:
Quantum-Behaved Particle Swarm Optimization with a Hybrid Probability Distribution. PRICAI 2006: 737-746 - [c8]Jun Sun, Wenbo Xu, Wei Fang:
Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm. RSCTC 2006: 736-745 - [c7]Jun Sun, Jing Liu, Wenbo Xu:
QPSO-Based QoS Multicast Routing Algorithm. SEAL 2006: 261-268 - [c6]Jun Sun, Wenbo Xu, Wei Fang:
A Diversity-Guided Quantum-Behaved Particle Swarm Optimization Algorithm. SEAL 2006: 497-504 - 2005
- [c5]Wenbo Xu, Jun Sun:
Adaptive Parameter Selection of Quantum-Behaved Particle Swarm Optimization on Global Level. ICIC (1) 2005: 420-428 - [c4]Jun Sun, Wenbo Xu, Jing Liu:
Parameter Selection of Quantum-Behaved Particle Swarm Optimization. ICNC (3) 2005: 543-552 - [c3]Jing Liu, Wenbo Xu, Jun Sun:
Quantum-Behaved Particle Swarm Optimization with Mutation Operator. ICTAI 2005: 237-240 - [c2]Jun Sun, Wenbo Xu, Bin Feng:
Adaptive parameter control for quantum-behaved particle swarm optimization on individual level. SMC 2005: 3049-3054 - 2004
- [c1]Jun Sun, Bin Feng, Wenbo Xu:
Particle swarm optimization with particles having quantum behavior. IEEE Congress on Evolutionary Computation 2004: 325-331
Informal and Other Publications
- 2020
- [i3]Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Multiplication fusion of sparse and collaborative-competitive representation for image classification. CoRR abs/2001.07090 (2020) - [i2]Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin:
Learning efficient structured dictionary for image classification. CoRR abs/2002.03271 (2020) - 2013
- [i1]Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi:
Random Drift Particle Swarm Optimization. CoRR abs/1306.2863 (2013)
Coauthor Index
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