论文


序号 论文
[1] X. Ma, Q. Zhang, G. Tian, J. Yang, and Z. Zhu*.On Tchebycheff decomposition approaches for multi-objective evolutionary optimization.IEEE Transactions on Evolutionary Computation, vol. 22, no. 2, pp. 226-244, 2018.
[2] R. Guo, Y.-R. Li, S. He, L. Ou-Yang, Y. Sun*, and Z. Zhu*.RepLong – de novo repeat identification using long read sequencing data.R. Guo, Y.-R. Li, S. He, L. Ou-Yang, Y. Sun*, and Z. Zhu*, , Bioinformatics, vol. 34, no. 7, pp. 1099-1107.
[3] Xin Yi, Anmin Zhu, Simon X. Yang, Chaomin Luo.A Bio-Inspired Approach to Task Assignment of Swarm Robots in 3-D Dynamic Environments.IEEE Transactions on Cybernetics, 47(4), pp974-983, 2017.
[4] Y. Chu(储颖), X. Mou, H. Yu.Blind image quality evaluation using the conditional histogram patterns of divisive normalization transform coefficients.Proc. of SPIE Optical Engineering + Applications, 10396- 1-10, San Diego, USA, 2017.8.6-8.10.
[5] Y. Chu(储颖),Z. Chen, Y. Fu,H. Yu.Haze image database and preliminary assessments.Proc. of Fully 3D conference 2017: Xi’an, Shaanxi, China, 2017.6.19-6.23.
[6] Z.-A. Huang, Z. Wen, Q. Deng, Y. Chu, Y. Sun, and Z. Zhu*.LW-FQZip 2: a parallelized reference-based compression of FASTQ files.BMC Bioinformatics, vol. 18, no. 1, pp. 179:1-179:8, 2017.
[7] Z.-A. Huang, X. Chen*, Z. Zhu*, H. Liu, G.-Y. Yan, Z.-H. You, and Z. Wen.PBHMDA: Path-based human microbe-disease association prediction.Frontiers in Microbiology, vol. 8, article no. 233, 2017..
[8] Z.-H, You, Z.-A. Huang, Z. Zhu*, G.-Y. Yan, Z.-W. Li, Z. Wen, and X. Chen*.PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.PLoS Computational Biology, vol. 13, no. 3, artical no. e1005455, 2017.
[9] Y. Zhang,Y. Chu(储颖),H. Yu.Reduction of metal artifacts in x-ray CT images using a convolutional neural network.Proc. of SPIE Optical Engineering + Applications, 10391- 1-15, San Diego, USA, 2017.8.6-8.10.
[10] Anmin Zhu, Yanming Chen.A Machine-learning-based Algorithm for Detecting a Moving Object.International Journal of Robotics and Automation, 31(5): 402-408, 2016.
[11] Xiaoliang Ma, Fang Liu, Yutao Qi. Etal.A multiobjective evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables.IEEE Transactions on Evolutionary Computation, 2016, 20(2): 275-298.
[12] Z. Zhu, J. Xiao, S. He, Z. Ji, and Y. Sun.A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem.Information Sciences, vol. 329, pp. 73-89, 2016..
[13] Yan-Ran Li, Raymond H. Chan, Lixin Shen, Yung-Chin Hsu, and Wen-Yih Isaac Tseng.An adaptive directional Haar framelet-based reconstruction algorithm for parallel magnetic resonance imaging.SIAM Journal on Imaging Sciences, vol. 9, no. 2, pp. 794-821, 2016.
[14] Xiaoliang Ma, Fang Liu, Yutao Qi. Etal.MOEA/D with biased weight adjustment inspired by user-preference and its application on multi-objective reservoir flood control problem.Soft Computing, 20(12): 4999-5023, 2016.
[15] Y. Chu(储颖), X. Mou, H. Fu and Z. Ji.Blind image quality assessment based on statistical independence of divisive normalization transform coefficients.Journal of Electronic Imaging, vol. 24, no.6: pp. 063008, 2015.
[16] Z. Zhu, L. Li, Y. Zhang, Y. Yang, and X. Yang.CompMap: a reference-based compression program to speed up read mapping to related reference sequences.Bioinformatics, vol. 31, no. 3, pp. 426-428, 2015..
[17] Z. Zhu, J. Xiao, J.-Q. Li, F. Wang, and Q. Zhang.Global path planning of wheeled robots using multi-objective memetic algorithms.Integrated Computer-Aided Engineering, vol. 22, no. 4, pp. 387-404, 2015..
[18] Z. Zhu, Y. Zhang, Z. Ji, S. He, and X. Yang.High-throughput DNA sequence data compression.Briefings in Bioinformatics, vol. 16, no. 1, pp. 1-15, 2015..
[19] Y. Zhang, L. Li, Y. Yang, X. Yang, S. He and Z. Zhu*.Light-weight reference-based compression of FASTQ data.BMC Bioinformatics, vol. 16, pp.188, 2015..
[20] Z. Zhu, S. Jia, S. He, Y. Sun, Z. Ji, L. Shen.Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework.Information Sciences, vol. 298, pp. 274–287, 2015..
[21] Xin Yi, Anmin Zhu, Zhong Ming.A bio-inspired approach to task assignment of multi-robots.IEEE Symposium Series on Computational Intelligence – SIS, 2014 IEEE Symposium on Swarm Intelligence Proceedings, pp 73-77, Orlando, FL, United states, January 15, 2014.
[22] Xiaoliang Ma, Fang Liu, Yutao Qi. Etal.MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem.Neurocomputing. 2014, 145: 336–352.
[23] Xiaoliang Ma, Fang Liu, Yutao Qi. Etal.MOEA/D with opposition-based learning for multiobjective optimization problem.Neurocomputing. 2014, (146):48-64.
[24] Xiaoliang Ma, Yutao Qi, Lingling Li. Etal.MOEA/D with uniform decomposition measurements for many-objective problems.Soft Computing. 2014.12, 18(12): 2541–2564.
[25] Anmin Zhu; Yanming Chen; Xin Yi.A dynamically selecting model to track a moving object.IEEE International Conference on Robotics and Biomimetics (ROBIO), p.1728-1733, Dec. 2013.
[26] Yan-Ran Li, Lixin Shen, and Bruce W. Suter.Adaptive inpainting algorithm based on DCT induced wavelet regularization.IEEE Transactions on Image Processing, vol. 22, no. 2, pp. 752-763, 2013.
[27] Anmin Zhu; Liu Yang.An improved FCM algorithm for ripe fruit image segmentation.IEEE International Conference on Information and Automation (ICIA), p.436-441, Aug, 2013.
[28] Xin Yi; Anmin Zhu.An improved neuro-dynamics-based approach to online path planning for multi-robots in unknown dynamic environments.IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013 , p.1-6, Dec. 2013.
[29] Yan-Ran Li, Shiqi Yu and Shengyin Wu.Framelet features for pedestrian detection in noisy depth images.IEEE International Conference on Image Processing (IEEE ICIP 2013), Melbourne, Australia, September 15-18,  pp.2949-2953, 2013.
[30] Anmin Zhu, Simon X. Yang.Tracking control of a mobile robot with stability analysis.International Journal of Robotics and Automation, Vol. 28(4), pp340-348.
[31] Simon X. Yang, Anmin Zhu, Max Q.-H. Meng, Gavin Yuan.A Bioinspired Neurodynamics based Approach to Tracking Control of Mobile Robots.IEEE Transactions on Industrial Electronics, vol.59(8), pp. 3211-3220, 2012.
[32] Anmin Zhu and Simon X. Yang.An Improved Approach to Dynamic Task Assignment of non-holonomic Multi-robots.International Journal of Robotics and Automation, Vol. 26(4), pp362—368, 2011.
[33] Zhu Z, Zhou J, Ji Z, et al.DNA Sequence Compression Using Adaptive Particle Swarm Optimization-Based Memetic Algorithm.IEEE Transactions on Evolutionary Computation, 2011, 15(5):643-658.
[34] Yan-Ran Li, Lixin Shen, Dao-Qing Dai, and Bruce W. Suter.Framelet algorithms for de-blurring images corrupted by impulse plus Gaussian noise.IEEE Transactions on Image Processing, vol. 20, no. 7, pp. 1822-1837, 2011.
[35] Z. Zhu, Y. S. Ong and M. Zurada.Identification of full and partial class relevant genes.IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 2, pp. 263-277, 2010..
[36] Yan-Ran Li, Dao-Qing Dai, and Lixin Shen.Multi-frame super resolution reconstruction using sparse directional regularization.IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 7, pp. 945-956, 2010.
[37] Z. Zhu, S. Jia, and Z. Ji.Towards a memetic feature selection raradigm.IEEE Computational Intelligence Magazine, vol. 5, no. 2, pp. 41-53, 2010..
[38] Zhu Z, Ong Y S, Dash M.Markov blanket-embedded genetic algorithm for gene selection.Pattern Recognition, 2007, 40(11):3236-3248.
作者:管理员 时间:2018-5-26