Zelin Zang

Zelin Zang

Postdoctoral Researcher at HK Institute of Innovation, CAS. Focusing on AI for Science, Medical Foundation Models, and Deep Manifold Learning.

Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation

Published in Computational intelligence and neuroscience, 2019

Recommended citation: Zelin Zang, Wanliang Wang, Yuhang Song, Linyan Lu, Weikun Li, Yule Wang, Yanwei Zhao. (2019). "Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation." Computational intelligence and neuroscience.