Reconstruction of compressed samples in shift-invariant space base on matrix factorization. - Zhaoxuan Zhu; Houjun Wang; Zhigang Wang; Hao Zhang (Comput. Electr. Eng., 2011)

Application of Evolutionary Neural Network in Infrared Nondestructive Test. - Zijun Wang; Jingmin Dai; Zhaoxuan Zhu (INCoS, 2013)

Energy Management of Hybrid Electric Vehicles via Deep Q-Networks. - Zhaoxuan Zhu; Yuxing Liu; Marcello Canova (ACC, 2020)

A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming. - Zhaoxuan Zhu; Shobhit Gupta; Nicola Pivaro; Shreshta Rajakumar Deshpande; Marcello Canova (ECC, 2021)

Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles. - Zhaoxuan Zhu; Nicola Pivaro; Shobhit Gupta; Abhishek Gupta 002; Marcello Canova (IEEE Trans. Intell. Veh., 2022)

Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout. - Jacob Paugh; Zhaoxuan Zhu; Shobhit Gupta; Marcello Canova; Stephanie Stockar (CoRR, 2023)

Angle of Arrival Estimation with Transformer: A Sparse and Gridless Method with Zero-Shot Capability. - Zhaoxuan Zhu; Chulong Chen; Bo Yang (CoRR, 2024)

A Deep Reinforcement Learning Framework for Eco-Driving in Connected and Automated Hybrid Electric Vehicles. - Zhaoxuan Zhu; Shobhit Gupta; Abhishek Gupta 002; Marcello Canova (IEEE Trans. Veh. Technol., 2024)