Publications

Journal papers and preprints

Gradient Diversity Empowers Distributed Learning: Convergence and Stability of Mini-batch SGD
Dong Yin, Ashwin Pananjady, Max Lam, Dimitris Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett
Submitted.

PhaseCode: Fast and Efficient Compressive Phase Retrieval based on Sparse-Graph Codes
Ramtin Pedarsani, Dong Yin, Kangwook Lee, and Kannan Ramchandran
IEEE Transactions on Information Theory, vol 63, pp 3663-3691, 2017.

Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
Adam S. Charles, Dong Yin, Christopher J. Rozell
Journal of Machine Learning Research, vol 18, 2017.

Conference papers

Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes
Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran
IEEE 55th Annual Allerton Conference on Communication, Control, and Computing, 2017.

Compressed Sensing Using Sparse-Graph Codes for the Continuous-Alphabet Setting
Dong Yin, Ramtin Pedarsani, Xiao Li, Kannan Ramchandran
IEEE 54th Annual Allerton Conference on Communication, Control, and Computing, 2016.

Fast and Robust Compressive Phase Retrieval with Sparse-graph Codes
Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran
IEEE International Symposium on Information Theory (ISIT), 2015.

Can Random Linear Networks Store Multiple Long Input Streams?
Adam S. Charles, Dong Yin, Christopher J. Rozell
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014.

Sparse Constraint Affine Projection Algorithm with Parallel Implementation and Application in Compressive Sensing
Dong Yin, Hing Cheung So, and Yuantao Gu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.