Nonconvex Optimization for Machine Learning:

H. Zhang, Y. Zhou, Y. Liang, Y. Chi. ¡°Reshaped Wirtinger flow and incremental algorithm for solving quadratic system of equations¡±, Journal of Machine Learning Research, submitted November 2016.

H. Zhang, Y. Liang. ¡°Reshaped Wirtinger flow for solving quadratic systems of equations¡±, Proc. Advances in Neural Information Processing Systems (NIPS), December 2016.

Y. Zhou, H. Zhang, Y. Liang. ¡°Geometrical properties and accelerated gradient solvers of non-convex phase retrieval¡±, Proc. 54th Annual Allerton Conference on Communication, Control, and Computing, October 2016.

H. Zhang, Y. Chi, Y. Liang. ¡°Median-truncated nonconvex approach for phase retrieval with outliers¡±, IEEE Transactions on Information Theory, submitted, January 2017.

H. Zhang, Y. Chi, Y. Liang. ¡°Provable non-convex phase retrieval with outliers: Median truncated Wirtinger flow¡±, Proc. International Conference on Machine Learning (ICML), June 2016.

Large-Scale Optimization:Parallel and Stochastic Algorithms

Y. Zhou, Y. Yu, Y. Liang, E. P. Xing. ¡°On convergence of model parallel proximal gradient algorithm for stale synchronous parallel system¡±, Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2016.

H. Zhang, Y. Liang, Y. Chi. ¡°Incremental reshaped Wirtinger flow and its connection to Kaczmarz method¡±, NIPS Workshop on Nonconvex Optimization for Machine Learning, December 2016.

Y. Zhou, Y. Liang, L. Shen. "A unified approach to proximal algorithms using Bregman distance," ,Operations Research Letters submitted 2016.

Y. Zhou, W. Dai, Y. Yu, Y. Liang, E. Xing. ¡°Coordinate gradient methods for stale synchronous model parallel system¡±, submitted for publication.

High Dimensional Estimation and Statistics:

Y. Zhou, Y. Liang. ¡°Demixing sparse signals via convex optimization¡±, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

Y. Zhou, H. Zhang, Y. Liang. ¡°Compressive sensing with orthonormal measurements¡±, IEEE Transactions on Signal Processing, submitted, under revision, 2016.

H. Zhang, Y. Zhou, Y. Liang. ¡°Analysis of robust PCA via local incoherence¡±, Proc. Advances in Neural Information Processing Systems (NIPS), December 2015.

W. Wang, Y. Liang, E. P. Xing. "Sharp threshold for multivariate multi-response linear regression via block regularized Lasso," IEEE Transactions on Information Theory, vol. 61, no. 1, pp.513-534, Jan. 2015.

A. He, B. Hall, J. Wen, Y. Liang, X. Shi. ¡°Sequential parallel LASSO models for eQTL analysis¡±, Proc. ACM Conference on Bioinformatics, Computational Biology and Health Informatics, 2015.

Nonparametric Statistics:

Y. Bu, S. Zou, Y. Liang, V. Veeravalli. ¡°Estimation of KL divergence: Optimal minimax rate¡±, IEEE Transactions on Information Theory, submitted, September 2016.

S. Zou, Y. Liang, H. V. Poor. "Nonparametric detection of geometric structures over networks," IEEE Transactions on Signal Processing, submitted 2016.

S. Zou, Y. Liang, H. V. Poor, X. Shi. "Nonparametric detection of anomalous data via kernel mean embedding," IEEE Transactions on Signal Processing, submitted 2016.

W. Wang, Y. Liang, E. P. Xing, L. Shen. "Nonparametric decentralized detection and sparse sensor selection via weighted kernel," IEEE Transactions on Signal Processing, vol. 64, no. 2, 306-321, January 2016.

Information Theory for Data Communications and Processing:

Y. Sun, R. Duan, Y. Liang, A. Khisti, S. Shamai. "Capacity characterization for state-dependent Gaussian channel with a helper", IEEE Transactions on Information Theory, vol. 62, no. 12, 7123-7134, December 2016.

R. Duan, Y. Liang, S. Shamai (Shitz). "State-dependent Gaussian interference channels: Can state be fully cancelled?" IEEE Transactions on Information Theory, vol. 62, no. 4, 1957 - 1970, April 2016.

R. Duan, Y. Liang, A. Khisti, S. Shamai. "State-dependent parallel Gaussian networks with a common state-cognitive helper," IEEE Transactions on Information Theory, To appear.

R. Duan, Y. Liang. "Bounds and capacity theorems for cognitive interference channels with state," IEEE Transactions on Information Theory, vol. 61, no. 1, pp.280-304, Jan. 2015.

Information Theoretic Security:

S. Zou, Y. Liang, L. Lai, H. V. Poor, S. Shamai (Shitz). "Broadcast networks with layered decoding and layered secrecy: Theory and applications," Proc. IEEE, To appear 2015.

S. Zou, Y. Liang, L. Lai, S. Shamai (Shitz). "An information theoretic approach to secret sharing," IEEE Transactions on Information Theory, vol. 61, no. 6, pp. 3121-3136, 2015.

H. Zhang, L. Lai, Y. Liang, H. Wang. "The capacity region of the source-type model for secret key and private key generation," IEEE Transactions on Information Theory, vol. 60, no. 10, pp.6389-6398, Oct. 2014.

Communication over Poisson Channels:

Ain-ul-Aisha, L. Lai , Y. Liang and S. Shamai (Shitz), ¡°On the sum-rate capacity of Poisson multi-antenna multiple access channels¡±, IEEE Transactions on Information Theory, submitted, 2016.

Ain-ul-Aisha, L. Lai and Y. Liang. "Optimal power allocation for Poisson channels with time-varying dark current," IEEE Transactions on Communications, vol. 63, no. 11, 4327-4338, Nov. 2015.

L. Lai, Y. Liang, S. Shamai (Shitz). "On the capacity bounds for Poisson interference channels," IEEE Transactions on Information Theory, vol. 61, no. 1, pp.223-238, Jan. 2015.