杨俊杰
硕士生导师
入职时间：2021-01-19
所在单位：自动化学院
在职信息：在职
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[1] Shihan Qiu, Kan Xie, Junjie Yang*, Qiyu Yang, Bo Zhang, Yuhong Gu, Feng Xie, Rongjian Qiu, Shengli Xie, Wenfang Bai. A Unified Multiscale Frequency Domain MetaFormer Framework for EEG-based Chronic Pain Recognition, IEEE Internet of Things Journal, 2025. (中科院分区：1区Top， 影响因子：10.2).
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Junjie Yang, Liu Yang, Yi Guo, Yuan Xie, Shengli Xie. Under-determined Audio Source Separation Using the Convolutive Narrowband Approximation and Flexible Lp Regularizer, Applied Acoustics, 2025. (中科院分区：1区， 影响因子：3.4).
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Junjie Yang, Zhenyu Zhang, Wei Li, Xiang Wang, Senquan Yang. Underwater Acoustic Target Classification using Auditory Fusion Features and Efficient Convolutional Attention Network, IEEE Sensors Letters, 2025. (JCR分区：3区， 影响因子：2.2).
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Yuan Xie, Tao Zou*, Junjie Yang, Weijun Sun, Shengli Xie. SA-UCBSS: Sparsity-Based Adaptive Underdetermined Convolutive Blind Source Separation[J]. Knowledge-Based Systems，2024，300:112224. （ 中科院分区：1区， 影响因子：7.2）.
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Junjie Yang, Yi Guo, Zuyang Yang*, and Shengli Xie, “Underdetermined convolutive blind source separation combining density-based clustering and sparse reconstruction in time-frequency domain”, IEEE Transactions on Circuits and Systems I: Regular Papers, 66(8): 3015-3027, 2019. （SCI 二区，影响因子:5.2，引用次数: 49）.
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Wei Yan, Junjie Yang*, Yi Guo,Senquan Yang, Wei Li. Enhanced Multi-view Subspace Clustering with Limited Prior Knowledge using Tensor Low-rank Representation, Frontiers of Information Technology and Electronic Engineering. (中科院分区：3区， 影响因子：2.7).
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Junjie Yang, Kan Xie, Yongliang Lu, Shengli Xie. Learning Muscle-related Pain from sEMG Signals: A Temporal-Spectral Feature Fusion Neural Network, IEEE..
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Shihan Qiu, Kan Xie, Junjie Yang (通信作者), Qiyu Yang, Bo Zhang, Yuhong Gu, Feng Xie, Rongjian Qiu, Shengli Xie, Wenfang Bai. A Unified Multiscale Frequency Domain MetaFormer Framework for EEG-based Chronic Pain Recognition, IEEE Internet of Things Journal, 2025. (中科院分区：1区Top， 影响因子：10.2).
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Kan Xie, Guoxu Zhou*, Junjie Yang , Zhaoshui He, and Shengli Xie, “Eliminating the permutation ambiguity of convolutive blind source separation by using coupled frequency bins”, IEEE Transactions on Neural Networks and Learning Systems, 31(2):589-599, 2019. （SCI 一区Top，影响因子:11.68，引用次数: 23）.
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杨俊杰，丁家辉，杨柳，冯丽，杨超. 结合MGCC特征与多尺度通道注意力的环境声深度学习分类方法，应用声学，43(3):561-572, 2024. (中文核心期刊).
