About me

I'm a fifth year Ph.D. student in School of Electrical Engineering and Computer Science, The Pennsylvania State University. I am working under the supervision of Prof. Vishal Monga. My research focuses on Sparse Coding, Convex Optimization, Deep Learning and their applications in Image Classification, Image Retrieval, Image Super-Resolution and Signal Recovery. I'm going to graduate in Summer 2018 and seeking a research scientist position in Machine Learning/Deep Learning/Computer Vision.

Further details about my research experience, honors and awards, etc. can be found in my Resume here or you can visit my LinkedIn profile.


I am also maintaining a Machine Learning blog in Vietnamese with more than 10,000 followers. The blog explains fundamental machine learning algorithms with scikit-learn codes and their corresponding from-scratch Python versions. An ebook named "Fundamentals of Machine Learning" in Vietnamese has been published.


  • Ph.D., Electrical Engineering, Pennsylvania State University, (expected June 2018)
  • B.S., Electronics and Telecommunications, Hanoi University of Science and Technology, Vietnam, June 2012


Journal Papers:

  1. Tiep Vu, Vishal Monga. "Fast Low-rank Shared Dictionary Learning for Image Classification." IEEE Transactions on Image Processing 26.11 (2017): 5160-5175., [paper][Project page] [code].

  2. Tiep Vu, H. S. Mousavi, V. Monga, A. U. Rao and G. Rao, "Histopathological Image Classification using Discriminative Feature-Oriented Dictionary Learning", IEEE Transactions on Medical Imaging , volume 35, issue 3, pages 738-751, March 2016.[paper][Project page] [code]

  3. Tiep Vu, L. Nguyen, V. Monga, "Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques", submitted to IEEE Transactions on Aerospace and Electronic Systems (TAES) [code].

  4. J. Mckay, Tiep Vu, I. Gerg, V.Monga, "Alleviating Imbalanced Sonar ATR Training Data with Transfer Learning and Neural Networks", to be submitted to IEEE Transactions on Geoscience and Remote Sensing (TGRS).

Conference Papers:

  1. Tiep Vu, Lam Nguyen, Tiantong Guo, Vishal Monga, " Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery. " IEEE Radar Conference, 2018.

  2. T. Guo, H. Mousavi, Tiep Vu, V. Monga, "Deep Wavelet Prediction for Super-resolution," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017 [paper] [code] [poster].

  3. Tiep Vu, Lam Nguyen, Calvin Le, Vishal Monga, " Tensor Sparsity for Classifying Low-Frequency Ultra-Wideband (UWB) SAR Imagery. " IEEE Radar Conference, 2017. [paper].

  4. Tiep Vu, Hojjat S. Mousavi, Vishal Monga, " Adaptive matching pursuit for sparse signal recovery. " IEEE on International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017. [paper] [code]. Finalist for the Best Student Paper Award.

  5. Tiep Vu, Vishal Monga, " Learning a low-rank shared dictionary for object classification." IEEE International Conference on Image Processing (ICIP), pp. 4428-4432, 2016. [paper], [Project page], [code], [poster].

  6. Tiep Vu, H. S. Mousavi, V. Monga, UK A. Rao, G Rao, "DFDL: Discriminative Feature-Oriented Dictionary Learning for Histopathological Image Classification". IEEE International Symposium on Biomedical Imaging (ISBI), 2015. [paper] [code] [poster]