Working Papers: 

• Adaptive Importance Sampling Based Surrogation Methods for Bayesian Hierarchical Models, via Logarithmic Integral Optimization.

Ziyu He, Junyi Liu and Jong-Shi Pang. 

Mathematical Programming (under review), 2023. [link]

Published Papers:

• Comparing Solution Paths of Sparse Quadratic Minimization with a Stieltjes Matrix.

Ziyu He, Shaoning Han, Andres Gomez, Ying Cui and Jong-Shi Pang.

Mathematical Programming, 2023. [link]

• Linear-Step Solvability of Some Folded Concave and Singly-Parametric Sparse Optimization Problems. 

Andres Gomez, Ziyu He and Jong-Shi Pang.

Mathematical Programming, 2022. [link]

• Nonconvex Robust Programming via Value-Function Optimization.

Ying Cui, Ziyu He and Jong-Shi Pang.

Computational Optimization and Applications, 2020. [link]

• Multi-Composite Nonconvex Optimization for Training Deep Neural Networks.

Ying Cui, Ziyu He and Jong-Shi Pang. 

SIAM Journal on Optimization, 2020. [link]

Selected Publications Prior to USC: 

• Short-Term Load Forecasting with Deep Residual Networks

Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu and Jinliang He

IEEE Transactions on Smart Grid, 2017. [link]

• Learning-Based Data Analytics: Moving Towards Transparent Power Grids.

Kunjin Chen, Ziyu He, Shan X Wang, Jun Hu, Licheng Li and Jinliang He.

CSEE Journal of Power and Energy Systems, 2017. [link]