Han Guo
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Han Guo 郭翰Ph.D. student in Dept. of Electrical and Computer Engineering |
Research Interests
Robust Principal Component Analysis
Video Analysis, Video Denoising
Machine Learning
Projects
Practical Recursive Projected Compressive Sensing (Prac-ReProCS): Project Page
Video Denoising and Enhancement via Dynamic Sparse + Low-rank Matrix Decomposition: Project Page
Correlated-PCA
Publications and Preprints
Namrata Vaswani and Han Guo, Correlated-PCA: Principal Components’ Analysis when Data and Noise are Correlated, accepted to Neural Information Processing Systems (NIPS) 2016, longer version submitted to IEEE Trans. On Sig. Processing (TSP)
Han Guo and Namrata Vaswani, Video Denoising via Online Sparse and Low-rank Matrix Decomposition, IEEE Workship on Statistical Signal Processing (SSP) 2016
Jinchun Zhan, Brian Lois, Han Guo and Namrata Vaswani, Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees, International Conference on Artificial Intelligence and Statistics (AISTATS) 2016
Han Guo, Namrata Vaswani and Chenlu Qiu, An Online Algorithm for Separating Sparse and Low-dimensional Signal Sequences from their Sum, IEEE Trans. On Sig. Processing (TSP), Aug. 2014
Han Guo, Namrata Vaswani and Chenlu Qiu, Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum - Part 2, IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2014
Han Guo, Namrata Vaswani and Chenlu Qiu, Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum - Part 1, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014
Namrata Vaswani, Chenu Qiu, Brian Lois, Han Guo and Jinchun Zhan, Online Robust Principal Components Analysis, book chapter of Handbook on “Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing”, CRC Press