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2021
[80]Qiang Fu, Hongbin Dong:An ensemble unsupervised spiking neural network for objective recognition. Neurocomputing 419: 47-58 (2021)
[79]Li Xiaohui，Dong Hongbin ，A Transaction Trade-Off Utility Function Approach for Predicting the End-Price of Online Auctions in IoT. Wirel. Commun. Mob. Comput. 2021: 6656421:1-6656421:10 (2021)
2020
[78]Zhenghong Lai, Jianjun Gui, Dengke Xu, Hongbin Dong, Baosong Deng:A Monocular Visual-Inertial Odometry Based on Hybrid Residuals. SMC 2020: 3304-3311。
[77]Zhang Juntao ，Dong Hongbin，Huang Ruolin，Single Image Super-Resolution Using Feedback Attention Networks ，2020 Chinese Automation Congress, CAC 2020 。
[76]Wang Xiaowei，Dong Hongbin，Han Shuang, Click-Through Rate Prediction Combining Mutual Information Feature Weighting and Feature Interaction IEEE Access, v 8, p 207216-207225, 2020
[75]Hongbin Dong，Yuyao Pan ，Jing Sun，High Dimensional Feature Selection Method of Dual Gbest Based on PSO ，2020 IEEE Congress on Evolutionary Computation (CEC) 。
[74] Dong Hongbin,Sun Jing,et al. ，A many-objective feature selection for multi-label classification，Knowledge-Based Systems，208: 106456 (2020)
[73] Dong Hongbin,Sun Jing,et al. ，A multi-objective algorithm for multi-label filter feature selection problem ,Applied Intelligence, 2020 ,6,27.
2019
[72]Qingxian Pan, Tingwei Pan, Hongbin Dong, Yingjie Wang, Shan Jiang, Zengxuan Yin: An Online Task Assignment Based on Quality Constraint for Spatio-Temporal Crowdsourcing. IEEE Access 7: 170292-170303 (2019)
[71]Qiang Fu, Xingmei Wang, Hongbin Dong, Ruolin Huang: Spiking Neurons with Differential Evolution Algorithm for Pattern Classification. SMC 2019: 152-157
[70]Dong Hongbin , Yang Lei,Han Kunming : Collaborative filtering based on attention mechanism,Communications in Computer and Information Science, v 1001, p 3-14, 2019, Artificial Intelligence - 2nd CCF International Conference, CCF-ICAI 2019.
[69]潘庆先、江珊、董红斌，基于Pareto分布的众包工人欺骗行为处理方法，《计算机应用》，2019年11期。
[68]Pang Jinwei,Dong Hongbin, He Jun, Ding Rui,A modified comprehensive learning particle swarm optimizer,International Journal of Performability Engineering, v 15, n 9, p 2553-2562, 2019
[67] Tao LI; Hongbin Dong ; Unsupervised Feature Selection and ClusteringOptimization Based on Improved Differential Evolution, IEEE Access, 2019, 2019(8): 1440438-1440450.
[66]Ruolin Huang, Hongbin Dong, Guisheng Yin, Qiang Fu:Ensembling 3D CNN Framework for Video Recognition. IJCNN 2019: 1-7
[65] Qingxian Pan, Hongbin Dong, Yingjie Wang, Zhipeng Cai, and Lizong Zhang, Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags, WWireless Communications and Mobile Computing 2019: 2121850:1-2121850:10 (2019).
[64]Rui Ding, Hongbin Dong, Jun He, Tao Li,A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points，Applied Soft Computing，2019,78（7）：447-464.
[63]Liu Yujie， Dong Hongbin，Time series prediction based on temporal convolutional network ，Proceedings - 18th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2019, p 300-305, June 2019。
[62]Dong Hongbin，Wang Xue，A feature selection method based on adaptive differential evolution ，Proceedings - 18th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2019, p 208-213, June 2019。
[61]Xia Tian， Dong, Hongbin，Image denoising based on dictionary learning of mean corrected atoms，Proceedings - 18th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2019, p 202-207, June 2019。
[60]TAO LI,HONGBIN DONG,JING SUN,Binary differential evolution based on individual entropy for feature subset optimization,IEEE Access,2019，7（1）：24109~24121。
[59]Tao Li, Hongbin Dong, Guisheng Yin, Yuhai Sha: An Effective Differential Evolution With Binary Strategy for Feature Selection Problem. SMC 2019: 158-163
[58]Jinwei Pang,Jun He, Hongbin Dong,Hybrid Evolutionary Programming using Adaptive Levy Mutation and Modified Nelder-Mead Method,Soft Computing，2019.23(17),7913-7939.
2018
[57]杨雪,董红斌等,改进的量子粒子群优化算法对多维多选择背包问题的求解,吉林大学学报(理学版) ,2018,56(6):1461-1468.
[56]李 洋,董红斌, 基于卷积神经网络和 BLSTM 网络特征融合的文本情感分析,计算机应用,2018(11):3075-3080.
[55]耿文静,董红斌等,一种基于 MPI 的并行多目标粒子群算法,模式识别与人工智能,2018,(7）:668-676.
[54]Rui Ding, Hongbin Dong,U-NSGA-III: An Improved Evolutionary Many-Objective Optimization Algorithm,2BIC-TA 2018：24-35.
[53]Xiaodong Yu, Hongbin Dong, Tian Xia, Xiaohui Li. Hyperspectral Image Adaptive Denoising Method Based on Band Selection and Elite Atomic Union Dictionary Learning. International Journal of Performability Engineering, 2018, 14(9):1975-1984.
[52]Xiaohui Li, Hongbin Dong, Xiaowei wang, Shuang Han.Learning to Predict Price Based on E-commerce Online Auction Machine.International Journal of Performability Engineering, 2018, 14(8):1906-1912.
[51]李亚飞，董红斌，基于卷积神经网络的遥感图像分类研究，智能系统学报.2018.4.
[50]Xiaodong Yu, Hongbin Dong:Remote sensing image classification based on dynamic Co-evolutionary parameter optimization of SVM. Journal of Intelligent and Fuzzy Systems 35(1): 343-351 (2018)
[49]Xiaodong Yu, Hongbin Dong,PTL-CFS based deep convolutional neural network model for remote sensing classification,Computing,,100(8): 773-785 (2018).
[48]Hongbin Dong,Jing Sun,Tao Li,jie Li.An improved niching bianry particle swarm optimization for feature selection,The 2018 IEEE International Conference on Systems, Man, and Cybernetics.
[47]Hongbin Dong, Tao Li，A Novel Hybrid Genetic Algorithm with Granular Information for Feature Selection and Optimization，Applied Soft Computing ,65 (2018) 33–46..(SCI 影响因子: 3.541)
[46]董红斌，石丽，李涛，一种改进的microRNA预测模型集成方法，计算机科学，2018，45（2）：69-75.
[45]董红斌，李冬锦，一种动态调整惯性权重的粒子群优化算法，计算机科学，2018，45（2）：98~102.
[44]马文娟，董红斌，基于集成卷积神经网络的人脸年龄分类算法研究，计算机科学，2018，45（1）：189~193.
2017
[43]Wenjie Liu, Hongbin Dong,Jun He,A cooperative quantum particle swarm optimization based on multiple groups,The 2017 IEEE International Conference on Systems, Man, and Cybernetics,3213-3218.
[42]丁蕊, 董红斌,一种求解冰壶比赛对阵多约束问题的分层优化算法，电子学报，2017.03.25，45（3）.
[41]杨雪,董红斌，一种视频广告的预算约束限制拍卖机制研究，计算机研究与发展，2017.02.07，54（2）.
[40]潘庆先 董红斌,一种基于BP神经网络的属性重要性计算方法，中国科学技术大学学报，2017.2.25，47（02）：323~330.
[39]Xuyang Teng, Hongbin Dong.Adaptive Feature Selection Using V-shaped Binary Particle Swarm Optimization.Plos One. 12(3),2017.(SCI 影响因子：2.806)
[38]Xiaohui Li, Hongbin Dong, Jun He:Online sponsored search auction matching problem with advertiser credibility. ICIS 2017: 509-515.
[37]Xiaodong Yu, Hongbin Dong:Wetland remote sensing classification using support vector machine optimized with co-evolutionary algorithm. ICIS 2017: 517-522.
[36]董红斌,苟乃康,基于兴趣度的广告拍卖模型研究, 山东大学学报(理学版),2017,Vol. 52 (3): 1-7.
[35]滕旭阳,董红斌,孙静，面向特征选择问题的协同演化方法，智能系统学报，2017.2.
[34]张京敏,董红斌，基于中介agent的强化学习优化协商模型，计算机科学，2017，44（1）：53~59.
2016
[33]丁蕊,董红斌，基于关键点路径的快速测试用例自动生成方法,软件学报，2016(4):814-827.
[32]董红斌 滕旭阳 . 一种基于关联信息熵度量的特征选择方法. 计算机研究与发展, 2016, (08): 1684-1695.
[31]王春波，董红斌，基于Hadoop的超像素分割算法，计算机应用，2016.11.15，36（11）：2985~2992.
[30]Weichao Chai, Hongbin Dong, Jun He, Wenqian Shang,A biogeography-based optimization algorithm with multiple migrations. ICIS 2016: 1-8.
[29]Hongbin Dong, Xue Yang, Xuyang Teng, Yuhai Sha,A diversity reserved quantum particle swarm optimization algorithm for MMKP. ICIS 2016: 1-7.
[28]Rui Ding，Hongbin Dong，Jun He， An Improved Partheno-Genetic Algorithm for the Multi-constrained Problem of Curling Match Arrangement，IEEE Congress on Evolutionary Computation 2016: 957-964.
[27]Jinwei Pang, Hongbin Dong，He Jun， Mixed Mutation Strategy Evolutionary Programming Based on Shapley Value， IEEE Congress on Evolutionary Computation 2016: 2805-2812.
2015
[26]崔晓晖,印桂生,董红斌,面向服务匹配问题的协同演化算法,软件学报,2015(7).
[25Hongbin Dong, Xuyang Teng, Yang Zhou, Jun He,Feature subset selection using dynamic mixed strategy. IEEE Congress on Evolutionary Computation 2015: 672-679.
[24]Lili Long, Hongbin Dong, Yue Pan,Forecasting model for bidding behavior of advertisers based on HMM. IJCNN 2015: 1-7.
[23]Wei Hou,Hongbin Dong,Guisheng Yin,Yuxin Dong,A co-evolutionary algorithm based on mixed mutation strategy for WDP in combinatorial auction. CEC 2015: 3057-3064.
[22]董红斌,逄锦伟,一种灰色极限学习机预测方法,计算机科学,2015(5).
[20]董红斌,张广江等,一种基于协同进化方法的聚类集成算法,山东大学学报(工学版),2015(3).
[19]栾海军,董红斌,连续双向拍卖市场中的一种自适应竞价策略研究,南京大学学报(自然科学),2015(3).
2014
[18]Lihong Chen, Hongbin Dong, A reinforcement learning optimized negotiation method based on mediator agent. Expert Syst. Appl. 41(16): 7630-7640 (2014).(SCI影响因子: 3.928).
[17]侯薇,董红斌,基于Bayesian 学习的适应性优化协商模型. 计算机研究与发展, 51(04),2014.
[16]印桂生,崔晓晖,董红斌,量子协同的二分图最大权完美匹配求解方法,计算机研究与发展,2014(11).
[15]董红斌,杨雪等,基于优化的关键字广告拍卖竞价策略Agent模型,小型微型计算机系统,2014(8).
[14]侯薇,董红斌等,一种改进的基于分解的多目标进化算法,计算机科学,2014(2).
2013
[13]Lihong Chen, Hongbin Dong, Qilong Han, Guangzhe Cui:Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning. IDEAL 2013: 40-48.
[12]Guisheng Yin, Yingjie Wang, Yuxin Dong, Hongbin Dong:Wright-Fisher multi-strategy trust evolution model with white noise for Internetware. Expert Syst. Appl. 40(18): 7367-7380,2013.(SCI影响因子: 3.928)
[11]侯薇,董红斌,印桂生. 一种基于隶属度优化的演化聚类算法. 计算机研究与发展. 50(03),548-558 页, 2013.
[10印桂生,张亚楠,董红斌等,一种由长尾分布约束的推荐方法,计算机研究与发展,2013, (09): 1814-1825.
[9]Jun He, Wei Hou, Hongbin Dong, Feidun He,Mixed strategy may outperform pure strategy: An initial study. IEEE Congress on Evolutionary Computation 2013: 562-569.
2012
[8]董红斌,杨宝迪,刘佳媛,侯薇，协同演化算法在聚类中的应用，模式识别与人工智能, 25(04), 676-683 页，2012(8).
2011
[7]Wei Hou, Hongbin Dong, Guisheng Yin:Co-Evolutionary Algorithms Based on Mixed Strategy. JITR 4(2): 17-30 (2011)
2009
[6]Hongbin Dong, Yuxin Dong, Cheng Zhou, Guisheng Yin, et al. A fuzzy Clustering Algorithm Based on Evolutionary .Programming. Expert Systems with Applications. 36(9), pp11792-11800. 2009.(SCI影响因子: 3.928).
2008
[5]董红斌 黄厚宽 印桂生 何军 . 协同演化算法研究进展. 计算机研究与发展, 2008, 45 (03): 454-463.
2007
[4]Hongbin Dong, Jun He, Houkuan Huang, Wei Hou,Evolutionary ProgrammingUsing a Mixed Mutation Strategy. Information Sciences，2007，177(1):312–327.(SCI影响因子: 4.832).
[3]董红斌 黄厚宽 周成 何军 尚文倩 . 基于模糊权和有效性函数的演化聚类算法. 电子学报, 2007, 35 (05): 964-970.
2006
[2]董红斌 黄厚宽 何军 侯薇 . 一种求解约束优化问题的演化规划算法. 计算机研究与发展, 2006, 43 (05): 841-850.
2005
[1]Hongbin Dong, Jun He, Houkuan Huang, Wei Hou:A Mixed Mutation Strategy Evolutionary Programming Combined with Species Conservation Technique. MICAI 2005: 593-602.(SCI收录).
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