Jun Zhang

According to our database, Jun Zhang authored at least 15 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Two-Stage Solution to Quantum Process Tomography: Error Analysis and Optimal Design.

Shuixin Xiao, Yuanlong Wang, Jun Zhang, Daoyi Dong, Gary J. Mooney, Ian R. Petersen, Hidehiro Yonezawa

IEEE Trans. Inf. Theory, March, 2025

2024

Disturbance rejection with compensation on features.

Xiaobo Hu, Jianbo Su, Jun Zhang

Pattern Recognit., March, 2024

2023

Disturbance rejection in pattern recognition: a realization of quantum neural network.

Xiaobo Hu, Jianbo Su, Jun Zhang

Quantum Inf. Process., November, 2023

On the regularization and optimization in quantum detector tomography.

Shuixin Xiao, Yuanlong Wang, Jun Zhang, Daoyi Dong, Shota Yokoyama, Ian R. Petersen, Hidehiro Yonezawa

Autom., September, 2023

Towards Disturbance Rejection in Feature Pyramid Network.

Xiaobo Hu, Wei Xu, Yi Gan, Jianbo Su, Jun Zhang

IEEE Trans. Artif. Intell., 2023

Two-Stage Solution for Ancilla-Assisted Quantum Process Tomography: Error Analysis and Optimal Design.

Shuixin Xiao, Yuanlong Wang, Daoyi Dong, Jun Zhang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Optimal and two-step adaptive quantum detector tomography.

Shuixin Xiao, Yuanlong Wang, Daoyi Dong, Jun Zhang

Autom., 2022

Two-stage solution of quantum process tomography in the natural basis.

Shuixin Xiao, Yuanlong Wang, Daoyi Dong, Jun Zhang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Optimal quantum detector tomography via linear regression estimation.

Shuixin Xiao, Yuanlong Wang, Daoyi Dong, Jun Zhang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Identification of Non-Markovian Environments for Spin Chains.

Shibei Xue, Jun Zhang, Ian R. Petersen

IEEE Trans. Control. Syst. Technol., 2019

A Two-Teacher Framework for Knowledge Distillation.

Xingjian Chen, Jianbo Su, Jun Zhang

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

A Quantum Hamiltonian Identification Algorithm: Computational Complexity and Error Analysis.

Yuanlong Wang, Daoyi Dong, Bo Qi, Jun Zhang, Ian R. Petersen, Hidehiro Yonezawa

IEEE Trans. Autom. Control., 2018

2017

Identifying a damping rate function for a non-Markovian single qubit system.

Shibei Xue, Min Jiang, Dewei Li, Jun Zhang, Ian R. Petersen

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2013

Improved model prediction and RMPC design for LPV systems with bounded parameter changes.

Pengyuan Zheng, Dewei Li, Yugeng Xi, Jun Zhang

Autom., 2013

Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations.

Pengyuan Zheng, Dewei Li, Yugeng Xi, Jun Zhang

Proceedings of the 9th Asian Control Conference, 2013