Positional Title: Professor
Email: zlyu@scut.edu.cn
Working For: Shien-Ming Wu School of Intelligent Engineering
Zip Code: 510640
Graduated School: Nanyang Technological University
Office: D1-b507
Final Degree: Ph.D.
Telephone:
Mentor Type:
He received his Ph.D. degree in Electronic and electrical engineering from Nanyang Technological University, Singapore, in 2006. He received his Master & Bachelor’s degree in electronic engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China in 1998 and 1995 respectively.
July 2022 to present, Executive Dean of Shien-Ming Wu School of Intelligent Engineering, South China University of Technology;
August 2017 to present, Deputy Dean of the School of Automation Science and Engineering, South China University of Technology;
May 2008 to present, associate professor, professor and doctoral supervisor of School of Automation Science and Engineering, South China University of Technology;
July 2000 to May 2008, research engineer and research team leader of Signal Processing Center, Nanyang Technological University, Singapore;
March 1998 to April 2000, software engineer of Shanghai Bell Co., Ltd.
Ph.D., June 2006, Department of Electronics and Electrical Engineering, Nanyang Technological University, Singapore;
Master, March 1998, Major in Communication and Electronic Systems, Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics;
Bachelor, June 1995, Electronic Engineering, Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics.
Pattern recognition, machine learning and applications in biomedical signal processing;
Brain computer interface, brain signal processing and application;
Intelligent robot technology and application;
Digital signal processing and multimedia application.
Digital Signal Processing,Frontier Technology Discussion in Signal Processing and Machine Learning, Modern Signal Processing, Signal and System, Biomedical Signal Processing, Modern Digital Signal Processing, Brain-Computer Interface and Brain Information Processing, Electromagnetic Field and Electromagnetic Wave, Advanced Algorithmic Language
2020
[5]X. Deng, Z. L. Yu*, C. Lin, Z. Gu, Y. Li, “A Bayesian Shared Control Approach for Wheelchair Robot with Brain Machine Interface”, IEEE Trans. Neural Systems and Rehab. Eng., vol. 28, no. 1, Jan. 2020.
2019
[1]J. Li, Z. L. Yu*, Z. Gu, H. Liu and Y. Li, “Dilated-Inception Net: Multi-scale feature aggregation for cardiac right ventricle segmentation”, IEEE Trans. Biomed. Eng., vol. 66, no. 12, pp3499-3508, Dec. 2019
[2]J. Li, Z. L. Yu*, Z. Gu, Y. Wang, M. Tan, and Y. Li, “Spatial-Temporal Discriminative Restricted Boltzmann Machine for Event-related Potential Detection and Analysis”, IEEE Trans. Neural Systems and Rehab. Eng., vol. 27, no. 2, pp. 139-151, Jan. 2019
[3]K. Liu, Z. L. Yu*, W. Wu, Z. Gu, J. Zhang, L. Cen, S. Nagarajan and Y. Li, “Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization”, IEEE Trans. Biomed. Eng. , vol. 66. no. 9, pp. 2457-2469, Sept. 2019
[4]X. Xie, Z. L. Yu*, Z. Gu and Y. Li, “Classification of Symmetric Positive Definite Matrices based on Bilinear Isometric Riemannian Embedding”, Patten Recognition, vol. 87, pp. 94-105, March. 2019.
2018
[6]J. Li, Z. L. Yu (*), Z. Gu, W. Wu, Y. Li and L. Jin,“A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machines”, IEEE Trans. Neural Syst. Rehabil. Eng.,vol. 26, no. 3, pp. 563-572, March 2018
[7].X. Xie, Z.L. Yu*, Z. Gu, J. Zhang, L. Cen, and Y. Li, “Bilinear Regularized Locality Preserving Learning on Riemannian Graph for Motor Imagery BCI”, IEEE Trans. Neural Systems and Rehab. Eng., vol. 26, no. 3, pp. 698-708, March, 2018
[10].Z. Zhang, Y. Lin, S. Li, Y. Li, Z.L. Yu, Y. Luo, “Tricriteria Optimization-Coordination Motion of Dual-Redundant-Robot Manipulators for Complex Path Planning”, IEEE Transactions on Control Systems Technology, vol. 26 , no. 4, pp. 1345 – 1357, July 2018
2016
[8].K. Liu, Z. L. Yu*, W. Wu, Z. Gu, Y. Li, S. Nagarajan, “Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources with Markov Random Field and Temporal Basis Expansion”, NeuroImage,vol 139, pp385-404, Jun 2016.
2015
[9].Ke Liu, Z. L. Yu*, Wei Wu, Zhenghui Gu, Yuanqing Li,“STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging”, International Journal of Neural Systems, Vol. 25, No. 4 (2015) 1550016
1.Z. L. Yu, M. H. Er, W. Ser, and H. Chen, Handbook on Advancements in Smart Antenna Technologies for Wiresless Networks.Hershet, New York: IGI Group Inc., 2008, ch. Robust Adaptive Beamforming, pp. 33–59. (PDF)
2.Z. Gu, G. Erry, and Z. L. Yu, Radiolocation in Cellular Systems: Parameter Estimation and Accuracy Improvement. VDM Publishing House Ltd., 2009.
3.L. Cen, W. Ser, Z. L. Yu and W. Cen, Pattern Recognition, Recent Advances. In-Tech, 2010, ISBN 978-953-7619-90-9 , ch. Automatic Recognition of Emotional States from Human Speeches (PDF)
4.L. Cen, M. H. Dong, H. Z. Li, Z. L. Yu, P. Chan, Application of Machine Learning, In-Tech, 2010, ISBN 978-953-307-035-3, ch. Machine Learning Methods in the Application of Speech Emotion Recognition. (PDF)
5.Cen L, Wu F, Yu Z L, et al. Chapter 2 – A Real-Time Speech Emotion Recognition System and its Application in Online Learning[J]. Emotions Technology Design & Learning, 2016:27-46.
1.M. Zhang, Z. L. Yu, and H. Lan, “Post-processing scheme for adaptive directional microphone system with noise/interference suppression,” U.S. 7181026B2, PCT/SG01/00163, Dec. 2004. (PDF)
2.Z. L. Yu, M. Zhang, H. Lan, and S. Rahardja, “Adaptive control system for noise cancellation,” U.S. 7092529B2, May 2004. (PDF)
3.Z. L. Yu and W. Ser, “Adaptive noise cancelling microphone system,” U.S. Patent 6917688B2, Mar. 2004. (PDF)
4.W. Ser, Z. L. Yu, and F. Yang, “Wireless heartbeat and respiratory rate monitoring system,” PCT/SG2008000349.
5.W. Ser, Z. L. Yu, and F. Yang,” A Method for Detecting Hearbeat and/or Respiration”, 欧洲专利 EP2323546B1 (PDF)