I received my Ph.D. degree in Electrical Engineering from MIT, where I wrote the following --
Dissertation:
- Model-Code Separation Architectures for Compression Based on Message-Passing
(compress.cc)
Massachusetts Institute of Technology, 2015
I show why classic compression systems have a hard time making use of new knowledge about data, and how an entirely different design with a "model-code separation architecture" can do better. This won the Jin-Au Kong Thesis Award, Honorable Mention.
(There is also an associated software toolbox. For commercial concerns, inquire about technology licensing.)
Research:
I'm interested in information representation and statistical inference problems on complex signals, including neural-network representations. I am particularly fond of perceptual / multimedia signals, and I've designed algorithms for their optimal procesing, storage, and communication. More recently I was involved in building distributed algorithms and large-scale systems for applied machine learning.
Publications:
Machine Learning
- Devavrat Shah, Sai Burle, Vishal Doshi, Ying-zong Huang, Balaji Rengarajan
Prediction Query Language
(publication)
Allerton Conference on Communication, Control, and Computing, October 2018
Data Compression
- Ying-zong Huang, Gregory W. Wornell
Separation Architectures for Lossy Compression
(pdf, publication)
IEEE Information Theory Workshop, April 2015
- Ying-zong Huang, Gregory W. Wornell
Practical Compression with Model-Code Separation
(pdf, abstract, publication)
Data Compression Conference, April 2015
- Ying-zong Huang, Gregory W. Wornell
A Class of Compression Systems with Model-Free Encoding
(pdf, publication)
Information Theory and Applications Workshop, February 2014
Streaming Media
- Sanjeev Mehrotra, Jin Li, Ying-zong Huang
Optimizing FEC Transmission Strategy for Minimizing Delay in Lossless Sequential Streaming
(pdf, publication)
IEEE Transactions on Multimedia, 13:5, 1066-76, October 2011
- Sanjeev Mehrotra, Jin Li, Ying-zong Huang
Minimizing Delay in Lossless Sequential Data Streaming
(pdf, publication)
IEEE International Conference on Multimedia & Expo, July 2010
- Ying-zong Huang, Yuval Kochman, Gregory W. Wornell
Causal Transmission of Colored Source Frames over a Packet Erasure Channel
(pdf, publication)
Data Compression Conference, March 2010
- Ying-zong Huang, Sanjeev Mehrotra, Jin Li
A Hybrid FEC-ARQ Protocol for Low-Delay Lossless Sequential Data Streaming
(pdf, publication)
IEEE International Conference on Multimedia & Expo, June 2009
- Ying-zong Huang, John G. Apostolopoulos
A Joint Packet Selection/Omission and FEC System for Streaming Video
(pdf, publication)
IEEE International Conference on Acoustics, Speech, and Signal Processing, April, 2007
- Ying-zong Huang, John G. Apostolopoulos
Making Packet Erasures to Improve Quality of FEC-Protected Video
(pdf, publication)
IEEE International Conference on Image Processing, October 2006
Classification
- Anuradha Aiyer, Kyungsuk Pyun, Ying-zong Huang, Deirdre B. O'Brien, Robert M. Gray
Lloyd Clustering of Gauss Mixture Models for Image Compression and Classification
(pdf, publication)
Signal Processing: Image Communication, 20:5, 459-85, June 2005
- Ying-zong Huang, Deirdre B. O'Brien, Robert M. Gray
Classification of Features and Images using Gauss Mixtures with VQ Clustering
(pdf, publication)
Data Compression Conference, March 2004
Unpublished results:
- End-to-End Processing for Streaming Applications (Addenda)
(pdf)
- A Lemma on the Compressibility of Modifiable Binary Sequences
(pdf)
Notes:
- Exact Incremental and Distributed Regression
(pdf)
Code:
MIT GitHub
(requires auth)
GitHub
From a previous life:
Embedded systems
Spectral imaging
Linguistics
Genomics
More:
Signals, Information, and Algorithms Lab