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                  岑玲

                  • 學科領域:信息與通信工程、電子與通信工程
                  • 所屬單位:廣東工業大學
                  • 研究方向:優化算法,機器學習,信號處理
                  • 學歷/職稱:教授
                  • 專家介紹: 岑玲,廣東工業大學百人計劃特聘教授、碩士生導師。主要從事優化算法、機器學習及信號處理等方向的理論及應用研究。在IEEE Transactions on Antennas and Propagation,IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Informat...

                  專家詳情

                          岑玲,廣東工業大學百人計劃特聘教授、碩士生導師。主要從事優化算法、機器學習及信號處理等方向的理論及應用研究。在IEEE Transactions on Antennas and Propagation,IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Information Sciences (Elsevier), Journal of Signal processing (Elsevier), International Journal of Computer-Supported Collaborative Learning (Springer), Journal of Cleaner Production (Elsevier), Circuit Syst. Signal Process (Springer) 等國際權威期刊和會議上發表論文60余篇,并且作為唯一或主要成員在多個信號處理及機器學習領域的國際競賽中獲得佳績。

                  學術兼職:
                        IEEE Transactions on Evolutionary Computation 等期刊審稿人,International Journal of Cleaner Production (Elsevier)特刊客座編輯, 及多個國際會議的技術委員會成員。
                  主要著作:
                        [1] Ling Cen, Fei Wu, Zhu Liang Yu, Fengye Hu, ch. A Real-time Speech Emotion Recognition System and its Application in Online Learning, Emotions, Technology, Learning, and Design, Sharon Tettegah and Martin Gartmeier (Ed.), ch. 2, pp. 27-46, Elsevier, 2015.
                        [2] Ling Cen, Zhuliang Yu, Wee Ser, ch. Maximum a Posteriori based Fusion Method for Speech Emotion Recognition, Emotion Recognition: A Pattern Analysis Approach, Amit Konar and Aruna Chakraborty (Ed.), ch. 9, pp. 215-236, John Wiley & Sons Inc., 2015.
                        [3] Ling Cen, Wee Ser, Zhuliang Yu and Wei Cen. ch. Automatic Recognition of Emotional States From Human Speeches, Pattern Recognition Recent Advances, Adam Herout (Ed.), ch. 22, pp. 431-450, INTECH, 2010 .
                        [4] Ling Cen, Minghui Dong, Haizhou Li, Zhuliang Yu and Paul Chan. ch. Machine Learning Methods in the Application of Speech Emotion Recognition, Application of Machine Learning, Yagang Zhang (Ed.), ch.1, pp. 1-20, INTECH, 2010.
                  主要論文:
                        [1] Ling Cen, Zhuliang Yu, Wee Ser, and Wei Cen, “Linear Aperiodic Array Synthesis Using an Improved Genetic Algorithm,” IEEE Trans. Antennas. Propagations, vol. 60, no. 2, pp. 895-902, Feb. 2012.
                        [2] Ling Cen, Wee Ser, Zhuliang Yu, Susanto Rahardja, and Wei Cen, “Linear sparse array synthesis with minimum number of sensors,” IEEE Trans. Antennas. Propagations, vol. 58, no. 3, pp. 720-726, Dec. 2009.  
                        [3] Ling Cen, “Frequency Response Masking Filter Design Using an Oscillation Search Genetic Algorithm,” Journal of Signal processing (Elsevier), vol. 87, no. 12, pp. 3086-3095, Dec. 2007.
                        [4] Ling Cen, “A Hybrid Genetic Algorithm for the Design of FIR filters with SPoT Coefficients,” Journal of Signal processing (Elsevier), vol. 87, no. 3, pp. 528-540, Mar. 2007.
                        [5] Ling Cen and Yong Lian, “Hybrid Genetic algorithm for the design of modified frequency- response masking filters in a discrete space,” Circuit Syst. Signal Process. (Springer), vol. 25, no. 2, pp. 153-174, Apr. 2006.

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