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成果及论文

Selected Journal Papers

[1] Y. Zhang and S. Wang*, "A robot navigation system in complex terrain based on statistical features of point clouds," IEEE Transactions on Intelligent Vehicles, July 2023. (early access)

[2] P. Cai, S. Wang*, and Y. Chen, "Diffusion mixture minimum total error entropy adaptive filtering algorithm and its performance analysis," IEEE Transactions on Signal and Information Processing over Networks, vol. 9, pp. 397-411, June 2023.

[3] Y. Xiao, S. Chen, Q. Zhang, D. Lin, M. Shen, Q. Jun, and S. Wang*, "Generalized hyperbolic tangent based random Fourier conjugate gradient filter for nonlinear active noise control," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 619-632, December 2022.

[4] K. Xiong, G. Cui, W. Yi, S. Wang, and L. Kong, "Distributed localization of target for MIMO radar with widely separated directional transmitters and omnidirectional receivers," IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 3, pp. 3171-3187, November 2022.

[5] Y. Zhang, Z. Zhang, and S. Wang*, "Adaptive clustering quasi-line search path planning algorithm based on sampling," IEEE Transactions on Vehicular Technology, vol. 72, no. 2, pp. 1720-1734, October 2022.

[6] L. Peng, T. Zhang, S. Wang*, G. Huang, S. Chen, "Diffusion adagrad minimum kernel risk sensitive mean p-power loss algorithm," Signal Processing, vol. 202, pp. 108773, Jan. 2023.

[7] Q. Zhang, S. Wang*, D. Lin, S. Chen, "Robust Affine Projection Tanh Algorithm and Its Performance Analysis,"Signal Processing, vol. 202, pp. 108749, Jan. 2023.

[8] Q. Zhang, D. Lin, Y. Xiao, and S. Wang*, "Augmented Least Lncosh Conjugate Gradient Adaptive Filtering," IEEE Signal Processing Letters, vol. 30, pp. 718-722, Jun. 2023.

[9] K. Xiong, T. Zhang, G. Cui, S. Wang, and L. Kong, "Coalition game of radar network for multitarget tracking via model-based multiagent reinforcement learning," IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 3, pp. 2123-2140, Sept. 2022.

[10] Y. Zheng, S. Wang*, B. Chen,  "Robust one-class classification with support vector data description and mixed exponential loss function, " Engineering Applications of Artificial Intelligence, vol. 122, Jun. 2023.

[11] K. Xiong, G. Cui, X. Yu, S. Wang, and L. Kong, "Joint estimation of target range and velocity for radar system via complex-valued kernel quasi-newton method," IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-13, May 2022.

[12] J. Qian, S. Wang, Z. Chen, G. Qian, and N. Fu, "Robust design for spectral sharing system based on MI maximization under direction mismatch," IEEE Transactions on Vehicular Technology, vol. 71, no. 6, pp. 6831-6836, March 2022.

[13] P. Cai and S. Wang*, "Diffusion Quantized Recursive Mixture Minimum Error Entropy Algorithm," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 12, pp. 5189-5193, Nov. 2022.

[14] S. Chen, Q. Zhang, D. Lin, S. Wang*, "Generalized Loss Based Geometric Unscented Kalman Filter for Robust Power System Forecasting-Aided State Estimation," IEEE Signal Processing Letters, vol. 29, pp. 2353-2357, Nov. 2022.

[15] H. Yin, J. Mei, F. Dong, G. Qian, S. Wang, "Asymmetric Complex Correntropy for Robust Adaptive Filtering," Circuits, Systems, and Signal Processingvol. 41, pp. 4692-4706, Aug. 2022.

[16] P. Cai, S. Wang*, J. Qian, T. Zhang, G. Huang, "The diffusion least mean square algorithm with q-gradient," Digital Signal Processing, vol. 127, pp.10357, Jul. 2022.

[17] D. Lin, Q. Zhang, S. Chen, and S. Wang*, "Maximum total quaternion correntropy for adaptive filtering," IEEE Transactions on Signal Processing, vol. 70, pp. 4967-4980, October 2022.

  • [18] C. Qiu, G. Qian, and S. Wang*, "Widely Linear Maximum complex correntropy criterion affine projection algorithm and its performance analysis," IEEE Transactions on Signal Processing, vol. 70, pp. 3540-3550, June 2022.

  • [19] L. Dang, W. Wang, C. K. Tse, F. C. M. Lau, and S. Wang, "Smooth deep reinforcement learning for power control for spectrum sharing in cognitive radios," IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10621-10632, December 2022.

  • [20] W. Wang, C. K. Tse, and S. Wang, "Generalized correntropy sparse Gauss-Hermite quadrature filter for epidemic tracking on complex networks," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 52, no. 5, pp. 2770-2778, May 2022.

  • [21] S. Wang*, W. Wang, K. Xiong, H. H. C. Iu, and C. K. Tse, "Logarithmic hyperbolic cosine adaptive filter and its performance analysis," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 4, pp. 2512-2524, April 2021.

  • [22] W. Wang, C. K. Tse, and S. Wang, "Performance comparison of nonlinear Kalman filters in epidemic tracking on networks," IEEE Systems Journal, vol. 14, no. 4, pp. 5475-5485, December 2020.

  • [23] W. Wang, C. K. Tse, and S. Wang, "Dynamic state estimation of power systems by p-norm nonlinear Kalman filters," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 5, pp. 1715-1728, May 2020.

  • [24] S. Wang*, L. Dang, B. Chen, S. Duan, L. Wang, and C. K. Tse, "Random Fourier filters under maximum correntropy criterion," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 10, pp. 3390-3403, October 2018.

  • [25] S. Wang*, W. Wang, B. Chen, and C. K. Tse, "Convergence analysis of nonlinear Kalman filters with novel innovation-based method," Neurocomputing, vol. 289, pp. 188-194, May 2018.

  • [26] S. Wang*, J. Feng, and C. K. Tse, "A class of stable square-root nonlinear information filters," IEEE Transactions on Automatic Control, vol. 59, no. 7, pp. 1893-1898, July 2014.

  • [27] S. Wang*, Y. Zheng, and C. Ling, "Regularized kernel least mean square algorithm with multiple-delay feedback," IEEE Signal Processing Letters, vol. 23, no.1, pp. 98-101, Jan. 2016.

  • [28] S. Wang*, J. Feng, and C. K. Tse, "Spherical simplex-radial cubature Kalman filter," IEEE Signal Processing Letters, vol. 21, no. 1, pp. 43-46, Jan. 2014.

  • [29] S. Wang*, J. Feng, and C. K. Tse, "Analysis of the characteristic of the Kalman gain for one-dimensional chaotic maps in cubature Kalman filter," IEEE Signal Processing Letters, vol. 20, no. 3, pp. 229-232, Mar. 2013.

  • [30] S. Wang, F. Tian, X. Liu, et al. "A novel representation approach to DNA sequence and its application,". IEEE Signal Processing Letters, vol. 16 , no .4, pp. 275-278, Feb. 2009.

  • [31] J. Zhao, X. Liao, S. Wang, C. K. Tse, "Kernel least mean square with single feedback," IEEE Signal Processing Letters, vol. 22, no. 7, pp. 953-957, July 2015.

  • [32] S. Wang*, W. Wang, and S. Duan, "A class of weighted quantized kernel recursive least squares algorithms," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no.6, pp. 730-734, Jun. 2017.

  • [33] S. Wang*, W. Wang, S. Duan, and L. Wang, "Kernel recursive least squares with multiple feedback and its convergence analysis," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no.10, pp. 1237-1241, Oct. 2017.

  • [34] S. Wang*, J. Feng and C. K. Tse, "Kernel affine projection sign algorithms for combating impulse interference," IEEE Transactions on Circuits and Systems Part II: Express Briefs, vol. 60, no. 11, pp. 811-815, Nov. 2013.

  • [35] S. Wang*, Y. Zheng, S. Duan, L. Wang, and C. K. Tse, "A class of improved least sum of exponentials algorithms," Signal Processing, vol. 128, pp. 340-349, Nov. 2016.

  • [36] F. Wang, Y. He, S. Wang, and B. Chen, "Maximum total correntropy adaptive filtering against heavy-tailed noises," Signal Processing, vol. 141, pp. 84-95, Dec. 2017.

  • [37] S. Wang*, Y. Zheng, S. Duan, L. Wang, and H. Tan, "Quantized kernel maximum correntropy and its mean square convergence analysis," Digital Signal Processing, vol. 63, pp. 164-176, Apr. 2017.

  • [38] Y Zheng, S Wang*, J Feng, and C. K. Tse, "A modified quantized kernel least mean square algorithm for prediction of chaotic time series," Digital Signal Processing, vol. 48, pp. 1650024-1650039, Jan. 2016.

  • [39] S. Wang*, Y. Feng, S. Duan, and L. Wang, "Mixed-degree spherical simplex-radial cubature Kalman filter," Mathematical Problems in Engineering, vol. 2017, Mar. 2017.

  • [40] S. Wang*, C. Yin, S. Duan, and L. Wang, "A modified variational Bayesian noise adaptive Kalman filter," Circuits, Systems, and Signal Processing, vol. 36, no.10, pp. 4260–4277, Oct. 2017.

  • [41] W. Zhang, S. Wang*, and Y. Feng, "Novel simplex Kalman Filters," Circuits, Systems, and Signal Processing, vol. 36, no.2, pp. 879-893, Feb. 2017.

  • [42] S. Wang*, J. Feng, and S. Xie, "A multiuser chaotic communication scheme by parameter division multiple access," Circuits, Systems, and Signal Processing, vol. 26, pp. 839-852, Dec. 2007.

  • [43] S. Wang*, W. Zhang, C. Yin, and Y. Feng, "Huber-based unscented Kalman filters with the q-gradient," IET Science Measurement Technology, vol. 11, no.4, pp. 380–387, Jun. 2017.

  • [44] H. Tan, F. Tian, Y. Qiu, S. Wang, et al., "Multihypothesis recursive video denoising based on separation of motion state," IET Image Processing, vol. 4, no.4, pp. 261-268, 2010.

  • [45] S. Wang*, Y. Zheng, S. Duan, and L. Wang. "Simplified quantized kernel least mean square algorithm with fixed budget,” Electronics Letters. vol. 52, no. 17, pp. 1453-1455, Aug. 2016.

  • [46] Y. Jiang, F. C. M. Lau, S. Wang, and C. K. Tse, "Parameter identification of chaotic systems by a novel dual particle swarm optimization," International Journal of Bifurcation & Chaos, vol. 26, no. 2, pp. 130-137, Feb. 2016.

  • [47] S. Wang*, J. Feng, and C. K. Tse, ",Novel cubature Kalman filtering for systems involving nonlinear states and linear measurements," AEU - International Journal of Electronics and Communications, vol. 69, no. 1, pp. 314-320, Jan. 2015. 

  • [48] S. Wang, F. Tian, Y. Qiu, et al. "Bilateral similarity function: A novel and universal method for similarity analysis of biological sequences," Journal of Theoretical Biology, vol. 265, no. 2, pp. 194-201, Jul. 2010.

  • [49] S. Wang, F. Tian, W. Feng, et al. "Applications of representation method for DNA sequences based on symbolic dynamics," Journal of Molecular Structure: THEOCHEM, vol. 909: pp. 33-42, Sep. 2009.

  • [50] L. Zhang, F. Tian, and S. Wang, et al., "A novel coding method for gene mutation correction during protein translation process," Journal of Theoretical Biology, vol. 296, no.1, pp. 33-40, 2012.

 

Selected Conference Papers


[1] L. Peng, Q. Zhang, L. Dong, and S. Wang*, "Robust diffusion recursive minimum cauchy algorithm with low computational complexity, " 2023 7th International Conference on Digital Signal Processing (ICDSP), pp. 105-109, Feb. 2023. (Best paper)

[2] Z. Zhang, P. Cai, M. Shen, G. Huang, and S. Wang*, "Geometric algebra adaptive filter based on multi-dimensional complex-valued random Fourier features," 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), Xi'an, China, Nov. 2022.

[3] Q. Zhang, D. Lin, S. Chen, and S. Wang*, "Event-Triggered quantized kernel least mean square algorithm," 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), Xi'an, China, Nov. 2022.

[4] S. Wang*, Y. Zheng, and S. Duan, "Sparse Huber adaptive filter with correntropy induced metric penalty, "  2016 35th Chinese Control Conference  (CCC) , pp. 4967-4971, Jul. 2016.

[5] L. Dang, W. Wang, Q. Sun, Z. Long, G. Bing, and S. Wang*, "Hammerstein adaptive filter with single feedback under minimum mean square error, " 2017 20th International Conference on Information Fusion (ICIF), Xi’an, 15-17. Jul. 2017.

[6] W. Wang, C. Shi, W. Wang, L. Dang, S. Wang*, and S. Duan, "Online sequential extreme learning machine algorithms based on maximum correntropy criterion, " 2017 20th International Conference on Information Fusion  (ICIF), Xi’an, 15-17. Jul. 2017.

[7] W. Wang, S. Wang*, G. Qian, and B. Yang, "Kernel least mean square with tracking,"  2017 36th Chinese Control Conference (CCC), Dalian, 2017:5100-5104. Sep.

[8] C. Yin, Y. Zheng, S. Wang*, Y. Feng, and W. Zhang, "Spherical simplex-radial cubature information filter, " 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) , pp. 940-944, Oct. 2016.

[9] L. Dang, Y. Zheng, S. Wang*, W. Wang, and Q. Sun, "A novel least Cauchy error algorithm and its kernel extension," 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 925-929, Oct. 2016.

[10] Y. Feng, Q. Yang, S. Wang*, W. Zhang, and Y. Zheng, " Novel cubature Kalman filters based on mixed degrees," 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 220-224, Nov. 2015.

[11] Y. Zheng, S. Wang*, Y. Feng, W. Zhang, Q. Yang, "Convex combination of quantized kernel least mean square algorithm," 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP), pp. 186-190, Nov. 2015.