Working Papers:
3D-Printing for Large-Scale Assembly Systems.
Ziyu He, Yuxuan Ouyang, Vishal Gupta, Andrew Daw. In preparation
1. 3D-Printing for Supply Chain Resilience.
Ziyu He, Vishal Gupta and Nick Vyas.
Manufacturing & Service Operations Management, Under Review, 2025. [link]
Published Papers:
2. Logarithmic Integral Optimization via Adaptive Importance Sampling Based Surrogation Methods.
Ziyu He, Junyi Liu and Jong-Shi Pang.
Mathematical Programming, 2024. [link]
3. 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]
4. 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]
5. Nonconvex Robust Programming via Value-Function Optimization.
Ying Cui, Ziyu He and Jong-Shi Pang.
Computational Optimization and Applications, 2020. [link]
6. 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:
7. 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, 2018. [link]
8. 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, 2018. [link]
9. Convolutional Sequence to Sequence Non‐Intrusive Load Monitoring.
Kunjin Chen, Qin Wang, Ziyu He, Kunlong Chen, Jun Hu and inliang He.
The Journal of Engineering, 2018. [link]
