"Learning without thought is labor lost; thought without learning is perilous."
-- Confucius
Teaching
Current Students and Alumni
For a list of current students and alumni, please check out our
lab webpage instead
Courses
Fall 2024
ECE-5583/TCOM-5583: Information Theory and Probabilistic Programming
Spring 2024
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Fall 2023
ECE-5583/TCOM-5583: Information Theory and Probabilistic Programming
Spring 2023
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Fall 2022
ECE-5583/TCOM-5583: Information Theory and Probabilistic Programming
Spring 2022
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Fall 2021
ECE-5583/TCOM-5583: Information Theory and Probabilistic Programming
Spring 2021
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Fall 2020
ECE-5583/TCOM-5583: Information Theory and Probabilistic Programming
Spring 2020
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Fall 2019
ECE-5583/TCOM-5583: Information Theory and Probabilistic Programming
Spring 2019
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Spring 2018
ECE-4973/5973: Computer Vision
ECE-5973: Artificial Neural Networks and Applications
Fall 2017
ECE-5583/TCOM-5583: Information Theory and Statistical Inference
Spring 2017
ECE-5970/TCOM-5973: Deep Learning
Fall 2016
ECE-5583/TCOM-5583: Information Theory
Spring 2016
ECE-5543/TCOM-5543: Network Design and Management
Fall 2014
ECE-5583/TCOM-5583: Information Theory
Spring 2014
ECE-5543/TCOM-5543: Network Design and Management
Misc Talks
- Invited talk Introduction to Deep Learning at Chongqing University, June 2017.
- Invited talk SCoBeP: Dense Image Registration using Sparse Coding and Belief Propagation at the Shanghai Jiaotong University, July 2013.
- Invited talk Distributed source coding: Theory and Applications at the Shanghai Jiaotong University, July 2013.
- Invited talk Gene Sequence Compression with Distributed Source Coding at the Northwest A&F University, December 2012.
- Invited talk New Advances in Image Processing at the Northwest A&F University, December 2012.
- Invited talk SCoBeP: Image registration using Sparse Coding and Belief Propagation at the Los
Alamos National Laboratory, Los Alamos, NM, August 2012.
- Invited talk SCoBeP: Image registration using Sparse Coding and Belief Propagation at the Shenzhen Institute of Advanced Integration Technology, Shenzhen, China, June 2012.
- Invited talk DSC Theory and Applications at the Northwest A&F University, June 2011.
- Invited talk DSC Theory and Applications at the University of Hong Kong, May 2011.
- Invited talk DSC Theory and Applications at Syracuse University, November 2010.
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Short tutorial Distributed source coding: Theory and applications (together with L. and V. Stankovic) at Eusipco-2010, Aalborg, Denmark, August 2010, with L. and V. Stankovic.
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Full-length tutorial Distributed Source Coding: Theory, Code Designs and Applications (together with L. and V. Stankovic) at ICASSP-2009, Taipei, Taiwan, April 2009.
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Full-length tutorial Distributed Source Coding: Theory and Practice (together with L. and V. Stankovic) at Eusipco-2008, Lausanne, Switzerland, August 2008.
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Full-length tutorial Distributed Source Coding and its Applications (together with L. and V. Stankovic) at ICCCN-2008, IEEE 17th International Conference on Computer Communications and Networks, St. Thomas U.S. Virgin Islands, August 2008.
Advice
Recommended Online Courses
Many are essential to all engineering researchers I think. But some are for my personal interests really. :D
Misc