任俊箫讲师介绍
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个人简历：（包括教育情况、工作经历）
2008.9-2012.6在西南交通大学攻读学士学位，专业：电气工程；
2014.9-2017.6在西南科技大学攻读硕士学位，专业：控制工程；
2017.9-2023.6 西南交通大学攻读博士学位，专业：控制科学与工程。
2014.9-2017.6在西南科技大学攻读硕士学位，专业：控制工程；
2017.9-2023.6 西南交通大学攻读博士学位，专业：控制科学与工程。
论文著作
Junxiao Ren, Weidong Jin, Yunpu Wu, Zhang Sun. A grouping-attention convolutional neural network for performance degradation estimation of high-speed train lateral damper[J]. Applied Intelligence, 2023, 53: 658-682.
Junxiao Ren, Weidong Jin, Yunpu Wu, Liang Li. Research on Performance Degrad Estimation of Key Components of High-Speed Train Bogie Based on Multi-Task Learning[J]. Entropy, 2023, 25(4): 696.
Junxiao Ren, Weidong Jin, Liang Li, Yunpu Wu, Zhang Sun. Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network[J]. Computational Intelligence and Neuroscience, 2022, 2022.
Junxiao Ren, Weidong Jin, Liang Li, Noise Resistance Study for Performance Degradation Estimation of High-Speed Train Bogie Based on Multi-Scale Time UNet[C]//2022 41st Chinese Control Conference (CCC). IEEE, 2022: 7024-7029.
Junxiao Ren, Weidong Jin, Liang Li. Performance Degradation Estimation of High-speed Train Bogie based on a Novel Multi-Scale Convolution Module[C]//2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2022: 285-290.
Yunpu Wu, Weidong Jin, Yan Li, Zhang Sun, and Junxiao Ren. Detecting Unexpected Faults of High-Speed Train Bogie Based on Bayesian Deep Learning[J]. IEEE Transactions on Vehicular Technology, 2021, 70(1): 158-172.
Yunpu Wu, Weidong Jin, Junxiao Ren, Zhang Sun. A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure[J]. Applied Intelligence, 2019: 1-15.
Yunpu Wu, Weidong Jin, Junxiao Ren, and Zhang Sun. Fault Diagnosis of HighTrain Bogie Based on Synchrony Group Convolutions[J]. Shock and Vibration, 2019, 2019: 1-13.
Liang Li, Weidong Jin, Yingkun Huang, Junxiao Ren. Enhancing the generalization performance of few-shot image classification with self-knowledge distillation[J]. Studies in Informatics and Control, 2022, 31(2): 71-80.
吴昀璞, 金炜东, 任俊箫. 基于孪生卷积网络的高速列车转向架故障辨识[J].系统仿 真学报, 2019, 31(11): 2562-2568.
Liang Li, Weidong Jin, Junxiao Ren, Yingkun Huang, Kang Yan. Few-shot image classification with an improved self-knowledge distillation[C]//Proceedings of the 41th Chinese Control Conference, Hefei, China, 2022: 7053-7058.
Junxiao Ren, Weidong Jin, Yunpu Wu, Liang Li. Research on Performance Degrad Estimation of Key Components of High-Speed Train Bogie Based on Multi-Task Learning[J]. Entropy, 2023, 25(4): 696.
Junxiao Ren, Weidong Jin, Liang Li, Yunpu Wu, Zhang Sun. Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network[J]. Computational Intelligence and Neuroscience, 2022, 2022.
Junxiao Ren, Weidong Jin, Liang Li, Noise Resistance Study for Performance Degradation Estimation of High-Speed Train Bogie Based on Multi-Scale Time UNet[C]//2022 41st Chinese Control Conference (CCC). IEEE, 2022: 7024-7029.
Junxiao Ren, Weidong Jin, Liang Li. Performance Degradation Estimation of High-speed Train Bogie based on a Novel Multi-Scale Convolution Module[C]//2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2022: 285-290.
Yunpu Wu, Weidong Jin, Yan Li, Zhang Sun, and Junxiao Ren. Detecting Unexpected Faults of High-Speed Train Bogie Based on Bayesian Deep Learning[J]. IEEE Transactions on Vehicular Technology, 2021, 70(1): 158-172.
Yunpu Wu, Weidong Jin, Junxiao Ren, Zhang Sun. A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure[J]. Applied Intelligence, 2019: 1-15.
Yunpu Wu, Weidong Jin, Junxiao Ren, and Zhang Sun. Fault Diagnosis of HighTrain Bogie Based on Synchrony Group Convolutions[J]. Shock and Vibration, 2019, 2019: 1-13.
Liang Li, Weidong Jin, Yingkun Huang, Junxiao Ren. Enhancing the generalization performance of few-shot image classification with self-knowledge distillation[J]. Studies in Informatics and Control, 2022, 31(2): 71-80.
吴昀璞, 金炜东, 任俊箫. 基于孪生卷积网络的高速列车转向架故障辨识[J].系统仿 真学报, 2019, 31(11): 2562-2568.
Liang Li, Weidong Jin, Junxiao Ren, Yingkun Huang, Kang Yan. Few-shot image classification with an improved self-knowledge distillation[C]//Proceedings of the 41th Chinese Control Conference, Hefei, China, 2022: 7053-7058.
科研项目（项目名称、项目编号、项目来源、起止时间、经费、排名情况）：
教学工作（讲授过的课程、指导研究生的情况）：
获奖及其他（获奖、学术交流、社会活动、社会兼职等）