• 其他栏目

    高斌

    • 教授 博士生导师
    • 性别:男
    • 毕业院校:英国纽卡斯尔大学
    • 学历:博士研究生毕业
    • 学位:哲学博士学位
    • 在职信息:在岗
    • 所在单位:自动化工程学院
    • 学科:检测技术与自动化装置
      信号与信息处理
      测试计量技术及仪器
    • 办公地点:C2-403
    • 联系方式:bin_gao@uestc.edu.cn
    • 电子邮箱:

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    代表性论文

    研究领域

    • 信号处理

      Statistical signal processing, including

      -Bayesian algorithm
      -Hidden Markov model
      -EM and variational algorithms
      -Markov chain Monte Carlo algorithm (MCMC)

      Unsupervised and supervised machine learning, including

      -Principle and Independent Component Analysis (PCA/ICA)
      -Sparse Representation
      -Nonnegative Matrix and Tensor Factorization (NMF/NTF)

      -Deep Learning

      Time-frequency signal representations, including

      -Cochleagram
      -Spectrogram
      -Wavelet transform

      代表论文

      [1]  Bin Gao, W.L. Woo, S.S. Dlay, “Variational Bayesian Regularized Two-Dimensional Nonnegative Matrix Factorization”, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, pp. 703-716, 2012. 

      [2] Peng Lu, Bin Gao, Qizhi Feng, Yang Yang, Wai Lok Woo, Gui Yun Tian, Ensemble Variational Bayes Tensor Factorization for Super Resolution of CFRP Debond Detection, Infrared Physics & Technology,vol.85, pp.335-346, 2017 


      无损检测

      电-磁-热多物理场融合成像无损检测系统 Electromagnetic Thermography Nondestructive Testing and Evaluation

          融合电涡流,磁滞损耗,热传导多物理效应,实现导体表面、亚表面和内部各类型缺陷快速、大范围、高灵敏度和高空间分辨率自动定量成像无损检测和评估。应用领域包括:航空航天,设备设施,高铁,核工业,新能源等。

      代表论文

      [1] Bin Gao, Yunze He, Wai Lok Woo, Gui Yun Tian, Jia Liu, and Yihua Hu, “Multidimensional Tensor-Based Inductive Thermography With Multiple Physical Fields for Offshore Wind Turbine Gear Inspection”, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 63, NO. 10, OCTOBER 2016.

      [2] Bin Gao, W.L. Woo, Guiyun Tian. “Electromagnetic Thermography Nondestructive Evaluation: Physics based Modeling and Pattern Mining”, Sci. Rep. 6, 25480; doi: 10.1038/srep25480 (2016)


      多模态光激励成像无损检测系统 Multi-mode Optical Thermography Nondestructive Testing and Evaluation

          多模态光激励模式(锁相,脉冲,编码),创新集成变分贝叶斯张量缺陷层析解析算法,可实现对金属、复合材料和涂层材料等表面、亚表面和内部存在的裂纹、冲击、脱粘和分层等缺陷检测。方法具有非接触、快速、直观、大范围、高灵敏度自动定量无损检测的特点。应用领域包括:航空航天、风能发电、医疗、石油化工等领域。

      代表论文

      [1] Qizhi Feng, Bin Gao, Peng Lu, W.L. Woo, Yang Yang, Yunchen Fan, Xueshi Qiu, Liangyong Gu, “Automatic Seeded Region Growing for Thermography Debonding Detection of CFRP", NDT & E International.2018, 99 :36-49.

      [2]    Yuyu Zhu, Bin Gao, Shichun Wu, Yangzhen Zhang, Meiling Wang, W.LWoo, Yongbo Liao,"A Design of Multi-Mode Excitation Source for Optical Thermography Nondestructive Sensing", Infrared Physics and Technology, 2018,94 (2018):23-31



      社交感知人机交互 Social Sensing based Human-Computer Interaction

          融合语音、行为、环境和体征复合传感信息,建立基于社交感知特征挖掘的可穿戴身心健康评估系统。应用领域包括:儿童自闭症,抑郁症,老年养护等。

                       

      代表论文

      [1] Jun Gu, Bin Gao, Yuanpeng Chen, Long Jiang, Zhao Gao, Xiaole Ma, Yong Ma, Wai Lok Woo, Jikun Jin, Wearable Social Sensing: Content-Based Processing Methodology and Implementation, IEEE Sensors Journal, vol.17, no.21, pp.7167-7176, 2017.

      [2] Bin Gao, W.L. Woo*, “Wearable Audio Monitoring: Content-Based Processing Methodology and Implementation”, IEEE Transactions on Human-Machine Systems,vol 44, no.2, pp. 222-233, 2014.