Improved future model prediction and robust MPC design for LPV systems with bounded rates of parameter variations. - Pengyuan Zheng; Dewei Li 001; Yugeng Xi 001; Jun Zhang 090 (ASCC, 2013)

Improved model prediction and RMPC design for LPV systems with bounded parameter changes. - Pengyuan Zheng; Dewei Li 001; Yugeng Xi 001; Jun Zhang 090 (Autom., 2013)

Identifying a damping rate function for a non-Markovian single qubit system. - Shibei Xue; Min Jiang 009; Dewei Li 001; Jun Zhang 090; Ian R. Petersen (SMC, 2017)

A Quantum Hamiltonian Identification Algorithm: Computational Complexity and Error Analysis. - Yuanlong Wang 001; Daoyi Dong; Bo Qi; Jun Zhang 090; Ian R. Petersen; Hidehiro Yonezawa (IEEE Trans. Autom. Control., 2018)

A Two-Teacher Framework for Knowledge Distillation. - Xingjian Chen; Jianbo Su; Jun Zhang 090 (ISNN (1), 2019)

Identification of Non-Markovian Environments for Spin Chains. - Shibei Xue; Jun Zhang 090; Ian R. Petersen (IEEE Trans. Control. Syst. Technol., 2019)

Optimal quantum detector tomography via linear regression estimation. - Shuixin Xiao; Yuanlong Wang 001; Daoyi Dong; Jun Zhang 090 (CDC, 2021)

Two-stage solution of quantum process tomography in the natural basis. - Shuixin Xiao; Yuanlong Wang 001; Daoyi Dong; Jun Zhang 090 (CDC, 2022)

Optimal and two-step adaptive quantum detector tomography. - Shuixin Xiao; Yuanlong Wang 001; Daoyi Dong; Jun Zhang 090 (Autom., 2022)

Two-Stage Solution for Ancilla-Assisted Quantum Process Tomography: Error Analysis and Optimal Design. - Shuixin Xiao; Yuanlong Wang 001; Daoyi Dong; Jun Zhang 090 (CDC, 2023)

Towards Disturbance Rejection in Feature Pyramid Network. - Xiaobo Hu; Wei Xu; Yi Gan; Jianbo Su; Jun Zhang 090 (IEEE Trans. Artif. Intell., 2023)

On the regularization and optimization in quantum detector tomography. - Shuixin Xiao; Yuanlong Wang 001; Jun Zhang 090; Daoyi Dong; Shota Yokoyama; Ian R. Petersen; Hidehiro Yonezawa (Autom., 2023)

Disturbance rejection in pattern recognition: a realization of quantum neural network. - Xiaobo Hu; Jianbo Su; Jun Zhang 090 (Quantum Inf. Process., 2023)

Disturbance rejection with compensation on features. - Xiaobo Hu; Jianbo Su; Jun Zhang 090 (Pattern Recognit., 2024)

A Two-Stage Solution to Quantum Process Tomography: Error Analysis and Optimal Design. - Shuixin Xiao; Yuanlong Wang 001; Jun Zhang 090; Daoyi Dong; Gary J. Mooney; Ian R. Petersen; Hidehiro Yonezawa (IEEE Trans. Inf. Theory, 2025)