"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
Spring 2023
ECE4973/5973: Computer Vision
ECE5973: Artificial Neural Networks and Applications
Fall 2022
ECE5583/TCOM5583: Information Theory and Probabilistic Programming
Spring 2022
ECE4973/5973: Computer Vision
ECE5973: Artificial Neural Networks and Applications
Fall 2021
ECE5583/TCOM5583: Information Theory and Probabilistic Programming
Spring 2021
ECE4973/5973: Computer Vision
ECE5973: Artificial Neural Networks and Applications
Fall 2020
ECE5583/TCOM5583: Information Theory and Probabilistic Programming
Spring 2020
ECE4973/5973: Computer Vision
ECE5973: Artificial Neural Networks and Applications
Fall 2019
ECE5583/TCOM5583: Information Theory and Probabilistic Programming
Spring 2019
ECE4973/5973: Computer Vision
ECE5973: Artificial Neural Networks and Applications
Spring 2018
ECE4973/5973: Computer Vision
ECE5973: Artificial Neural Networks and Applications
Fall 2017
ECE5583/TCOM5583: Information Theory and Statistical Inference
Spring 2017
ECE5970/TCOM5973: Deep Learning
Fall 2016
ECE5583/TCOM5583: Information Theory
Spring 2016
ECE5543/TCOM5543: Network Design and Management
Fall 2014
ECE5583/TCOM5583: Information Theory
Spring 2014
ECE5543/TCOM5543: 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.

Short tutorial Distributed source coding: Theory and applications (together with L. and V. Stankovic) at Eusipco2010, Aalborg, Denmark, August 2010, with L. and V. Stankovic.

Fulllength tutorial Distributed Source Coding: Theory, Code Designs and Applications (together with L. and V. Stankovic) at ICASSP2009, Taipei, Taiwan, April 2009.

Fulllength tutorial Distributed Source Coding: Theory and Practice (together with L. and V. Stankovic) at Eusipco2008, Lausanne, Switzerland, August 2008.

Fulllength tutorial Distributed Source Coding and its Applications (together with L. and V. Stankovic) at ICCCN2008, 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