Ying Tai(邰颖)                         


        Ph.D. Student

        Department of Computer Science and Engineering

        Nanjing University of Science and Technology
      Email: tyshiwo@gmail.com, taiying@cse.msu.edu

Recent News

  • One paper accepted by IEEE Trans. on Image Processing.
  • One paper accepted by SDM 2016.

About me

  • I was born in Wuxi, Jiangsu province, China in 1990. I received my Bachelor degree in Software Engineering, Department of Computer Science and Engineering, Nanjing University of Science and Technology (NUST) in 2012. Currently, I am a fourth year Ph.D. candidate in Computer Science and Engineering from NUST, under the supervision of Prof. Jian Yang. From 02/16/2016, I came to Michigan State University to be a visiting scholar under the supervision of Prof. Xiaoming Liu.

Research Interests

  • Computer Vision

  • Pattern Recognition

  • Face Recognition

Education

  • Ph.D. student at Nanjing University of Science and Technology working with my advisor Prof. Jian Yang. 
  • Bachelor degree in Computer Science and Engineering from Nanjing University of Science and Technology, 2012.

Publications

  • Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo and Jianjun Qian, Face Recognition with Pose Variations and Misalignment via Structural Orthogonal Procrustes Regression. In: SDM 2016.
  • Ying Tai, Jian Yang, Lei Luo and Jianjun Qian, Orthogonal Procrustes Problem based Regression with Application to Face Recognition with Pose Variations, In: IScIDE 2015.
  • Ying Tai, Jianjun Qian, Jian Yang and Zhong Jin, Face Recognition with Image Misalignment via Structure Constraint Coding, In: ACCV Workshops (3) 2014: 558-573.
  • Ying Tai, Jian Yang, Jianjun Qian and Yu Chen, Single-Sample Face Recognition via Fusion Variant Dictionary, In: CCPR (2) 2014: 341-350.
  • Ying Tai, Jian Yang, Lei Luo, Fanlong Zhang and Jianjun Qian, Learning Discriminative Singular Value Decomposition Representation for Face Recognition, Pattern Recognition 50: 1-16 (2016).
  • Ying Tai, Jian Yang, Yigong Zhang, Lei Luo, Jianjun Qian and Yu Chen, Face Recognition with Pose Variations and Misalignment via Orthogonal Procrustes Regression, IEEE Trans. on Image Processing. (Accepted)
  • Jian Yang, Lei Luo, Jianjun Qian, Ying Tai and Fanlong Zhang, Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence. (Accepted)
  • Yu Chen, Jian Yang, Jianjun Qian and Ying Tai, Adaptive Noise Dictionary Construction via IRRPCA for Face Recognition, Pattern Recognition. (Accepted)
  • Lei Luo, Jian Yang, Jianjun Qian and Ying Tai, Nuclear-L1 norm joint regression for face reconstruction and recognition with mixed noise, Pattern Recognition 48(12): 3811-3824 (2015).
  • Lei Luo, Jian Yang, Jinhui Chen, Ying Tai and Jianjun Qian, Matrix Variate Elliptically Contoured Distributions Induced Matrix Regression for Robust Face Recognition, IEEE Transactions on Neural Networks and Learning Systems. (Accepted with minor revision)
  • Fanlong Zhang, Jian Yang, Ying Tai and Jinghui Tang, Double Nuclear Norm-Based Matrix Decomposition for Occluded Image Recovery and Background Modeling, IEEE Trans. on Image Processing 24(6): 1956-1966 (2015).
  • Xiaofeng Han, Jianfeng Lu and Ying Tai, A Real-time Pedestrian Detection System using LIDAR and Vision in-vehicle, In: ACPR 2015.
  • Jianchun Xie, Jian Yang, Jianjun Qian and Ying Tai, Robust matrix regression for illumination and occlusion tolerant face recognition, In: ICCV workshop on RSL-CV 2015.
  • Jianjun Qian, Jian Yang and Ying Tai, Exploring Deep Gradient Information for Face Recognition, In: CCCV (2) 2015: 159-169.
  • Lei Luo, Jian Yang, Jianjun Qian and Ying Tai, Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition, In: ACCV (2) 2014: 659-673.