By Professor Daoyi Dong

Books

Dong D; Petersen IR, 2023, Learning and Robust Control in Quantum Technology, Springer Nature, http://dx.doi.org/10.1007/978-3-031-20245-2

Book Chapters

Dong D; Petersen IR, 2023, 'Sampling-Based Learning Control of Quantum Systems with Uncertainties', in Learning and Robust Control in Quantum Technology, Springer Nature, pp. 65 - 92, http://dx.doi.org/10.1007/978-3-031-20245-2_4

Dong D; Petersen IR, 2023, 'Concluding Remarks', in Communications and Control Engineering, pp. 247 - 249, http://dx.doi.org/10.1007/978-3-031-20245-2_9

Dong D; Petersen IR, 2023, 'Control and Classification of Inhomogeneous Quantum Ensembles', in Communications and Control Engineering, pp. 35 - 64, http://dx.doi.org/10.1007/978-3-031-20245-2_3

Dong D; Petersen IR, 2023, 'H∞ Control and Fault-Tolerant Control of Quantum Systems', in Communications and Control Engineering, pp. 219 - 246, http://dx.doi.org/10.1007/978-3-031-20245-2_8

Dong D; Petersen IR, 2023, 'Introduction', in Learning and Robust Control in Quantum Technology, Springer Nature, pp. 1 - 6, http://dx.doi.org/10.1007/978-3-031-20245-2_1

Dong D; Petersen IR, 2023, 'Introduction to Quantum Mechanics and Quantum Control', in Communications and Control Engineering, pp. 7 - 33, http://dx.doi.org/10.1007/978-3-031-20245-2_2

Dong D; Petersen IR, 2023, 'Machine Learning for Quantum Control', in Communications and Control Engineering, pp. 93 - 140, http://dx.doi.org/10.1007/978-3-031-20245-2_5

Dong D; Petersen IR, 2023, 'Robust Stability and Performance Analysis of Quantum Systems', in Communications and Control Engineering, pp. 177 - 218, http://dx.doi.org/10.1007/978-3-031-20245-2_7

Dong D; Petersen IR, 2023, 'Sliding Mode Control of Quantum Systems', in Communications and Control Engineering, pp. 141 - 175, http://dx.doi.org/10.1007/978-3-031-20245-2_6

Dong D, 2021, 'Learning Control of Quantum Systems', in Encyclopedia of Systems and Control, Springer International Publishing, pp. 1090 - 1096, http://dx.doi.org/10.1007/978-3-030-44184-5_100161

Dong D, 2020, 'Learning Control of Quantum Systems', in Encyclopedia of Systems and Control, Springer London, pp. 1 - 7, http://dx.doi.org/10.1007/978-1-4471-5102-9_100161-1

Journal articles

Wang Z; Sun Z; Bian Y; Mo H; Dong D, 2026, 'Learning hierarchical time–frequency representation for long-term time series forecasting', Information Processing and Management, 63, http://dx.doi.org/10.1016/j.ipm.2025.104358

Selim A; Mo H; Pota H; Dong D, 2025, 'Day ahead scheduling of battery energy storage system operation using growth optimizer within cyber–physical–social systems', Energy, 331, http://dx.doi.org/10.1016/j.energy.2025.136675

Wu G; Xue S; Ma S; Kuang S; Dong D; Petersen IR, 2025, 'Arbitrary state transition of open qubit system based on switching control', Automatica, 179, http://dx.doi.org/10.1016/j.automatica.2025.112424

Li L; Dong D; Pan Y, 2025, 'Fast numerical solver of Ising optimization problems via pruning and domain selection', Journal of the Franklin Institute, 362, http://dx.doi.org/10.1016/j.jfranklin.2025.107945

Ma H; Qi B; Petersen IR; Wu RB; Rabitz H; Dong D, 2025, 'Machine learning for estimation and control of quantum systems', National Science Review, 12, http://dx.doi.org/10.1093/nsr/nwaf269

Zheng J; Gao Q; Dong D; Lu J; Deng Y, 2025, 'A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits', IEEE Transactions on Artificial Intelligence, 6, pp. 1128 - 1142, http://dx.doi.org/10.1109/TAI.2024.3511514

Ahmad A; Xiao X; Mo H; Dong D, 2025, 'TFTformer: A novel transformer based model for short-term load forecasting', International Journal of Electrical Power and Energy Systems, 166, http://dx.doi.org/10.1016/j.ijepes.2025.110549

Qin JC; Jiang R; Mo H; Dong D, 2025, 'A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty', International Journal of Machine Learning and Cybernetics, 16, pp. 1111 - 1127, http://dx.doi.org/10.1007/s13042-024-02325-x

Xiao S; Wang Y; Zhang J; Dong D; Mooney GJ; Petersen IR; Yonezawa H, 2025, 'A Two-Stage Solution to Quantum Process Tomography: Error Analysis and Optimal Design', IEEE Transactions on Information Theory, 71, pp. 1803 - 1823, http://dx.doi.org/10.1109/TIT.2024.3522005

Zhou S; Ma H; Kuang S; Dong D, 2025, 'Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control', IEEE Transactions on Cybernetics, 55, pp. 712 - 725, http://dx.doi.org/10.1109/TCYB.2024.3521300

Lee Y; Yang CD; Dong D, 2025, 'Entanglement Measure-Based Sliding Mode Control for Quantum State Preparation', IEEE Transactions on Cybernetics, 55, pp. 4771 - 4783, http://dx.doi.org/10.1109/TCYB.2025.3595007

Song C; Liu Y; Dong D; Yonezawa H, 2025, 'Fast State Stabilization Using Deep Reinforcement Learning for Measurement-Based Quantum Feedback Control', IEEE Transactions on Quantum Engineering, 6, http://dx.doi.org/10.1109/TQE.2025.3606123

Ma H; Sun Z; Dong D; Gong D, 2025, 'Learning Informative Latent Representation for Quantum State Tomography', IEEE Transactions on Emerging Topics in Computational Intelligence, http://dx.doi.org/10.1109/TETCI.2025.3543767

Rana MM; Mo H; Shafiullah GM; Qiao L; Dong D, 2025, 'Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network', IEEE Transactions on Industry Applications, http://dx.doi.org/10.1109/TIA.2025.3605311

Wang Y; Qi B; Wang X; Liu T; Dong D, 2025, 'Power Characterization of Noisy Quantum Kernels', IEEE Transactions on Neural Networks and Learning Systems, 36, pp. 13939 - 13952, http://dx.doi.org/10.1109/TNNLS.2025.3545545

Hong QQ; Dong D; Henriksen NE; Nori F; He J; Shu CC, 2025, 'Precise quantum control of molecular rotation toward a desired orientation', Physical Review Research, 7, http://dx.doi.org/10.1103/PhysRevResearch.7.L012049

Ma H; Sun Z; Dong D; Chen C; Rabitz H, 2025, 'Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer', IEEE Transactions on Cybernetics, 55, pp. 2571 - 2582, http://dx.doi.org/10.1109/TCYB.2025.3556466

Dong D; Li J-S; Jonckheere E, 2025, 'Technical Committee on Quantum Computing, Systems and Control [Technical Activities]', IEEE CONTROL SYSTEMS MAGAZINE, 45, pp. 22 - 23, http://dx.doi.org/10.1109/MCS.2025.3555052

Mo H; Xiao X; Sansavini G; Dong D, 2024, 'Optimal defense resource allocation against cyber-attacks in distributed generation systems', Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, 238, pp. 1302 - 1329, http://dx.doi.org/10.1177/1748006X231196259

Ma H; Mooney GJ; Petersen IR; Hollenberg LCL; Dong D, 2024, 'Quantum autoencoders using mixed reference states', Npj Quantum Information, 10, http://dx.doi.org/10.1038/s41534-024-00872-3

Wang Y; Wang X; Qi B; Dong D, 2024, 'Supervised-learning guarantee for quantum AdaBoost', Physical Review Applied, 22, http://dx.doi.org/10.1103/PhysRevApplied.22.054001

Wang Y; Qi B; Ferrie C; Dong D, 2024, 'Trainability enhancement of parameterized quantum circuits via reduced-domain parameter initialization', Physical Review Applied, 22, http://dx.doi.org/10.1103/PhysRevApplied.22.054005

Sanni MT; Pota HR; Dong D; Mo H, 2024, 'Pilot point selection for secondary voltage control in active distribution networks with applications to an Australian feeder', Ain Shams Engineering Journal, 15, http://dx.doi.org/10.1016/j.asej.2024.102972

Ma H; Dong D; Petersen IR; Huang CJ; Xiang GY, 2024, 'Neural networks for quantum state tomography with constrained measurements', Quantum Information Processing, 23, http://dx.doi.org/10.1007/s11128-024-04522-7

Xie D; Wang Z; Chen C; Dong D, 2024, 'Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 8557 - 8569, http://dx.doi.org/10.1109/TNNLS.2022.3230701

Liu YH; Zeng Y; Tan QS; Dong D; Nori F; Liao JQ, 2024, 'Optimal control of linear Gaussian quantum systems via quantum learning control', Physical Review A, 109, http://dx.doi.org/10.1103/PhysRevA.109.063508

Tian Y; Lu X; Kuang S; Dong D, 2024, 'Real-time parameter estimation for two-qubit systems based on hybrid control', Physical Review A, 109, http://dx.doi.org/10.1103/PhysRevA.109.062222

Bao L; Qi B; Dong D, 2024, 'Stabilizing preparation of quantum Gaussian states via continuous measurement', Automatica, 164, http://dx.doi.org/10.1016/j.automatica.2024.111622

Ahmad A; Xiao X; Mo H; Dong D, 2024, 'Tuning data preprocessing techniques for improved wind speed prediction', Energy Reports, 11, pp. 287 - 303, http://dx.doi.org/10.1016/j.egyr.2023.11.056

Xiao S; Wang Y; Yu Q; Zhang J; Dong D; Petersen IR, 2024, 'Quantum state tomography from observable time traces in closed quantum systems', Control Theory and Technology, 22, pp. 222 - 234, http://dx.doi.org/10.1007/s11768-024-00215-9

Bao L; Qi B; Nori F; Dong D, 2024, 'Exponential sensitivity revival of noisy non-Hermitian quantum sensing with two-photon drives', Physical Review Research, 6, http://dx.doi.org/10.1103/PhysRevResearch.6.023216

Jiang C; Pan Y; Yang Y; Dong D, 2024, 'Interpolation of positive matrices by quantum-inspired optimal control', Iet Control Theory and Applications, 18, pp. 877 - 886, http://dx.doi.org/10.1049/cth2.12625

Wang X; Qi B; Wang Y; Dong D, 2024, 'Entanglement-variational hardware-efficient ansatz for eigensolvers', Physical Review Applied, 21, http://dx.doi.org/10.1103/PhysRevApplied.21.034059

Liu J; Wang Z; Chen C; Dong D, 2024, 'Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 14797 - 14809, http://dx.doi.org/10.1109/TNNLS.2023.3281604

Yu H; Zhao X; Dong D; Chen C, 2024, 'Hamiltonian Identification via Quantum Ensemble Classification', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 11261 - 11275, http://dx.doi.org/10.1109/TNNLS.2023.3258622

Shindi O; Yu Q; Girdhar P; Dong D, 2024, 'Model-Free Quantum Gate Design and Calibration Using Deep Reinforcement Learning', IEEE Transactions on Artificial Intelligence, 5, pp. 346 - 357, http://dx.doi.org/10.1109/TAI.2023.3243187

Cho B; Xiao Y; Hui P; Dong D, 2024, 'Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 311 - 317, http://dx.doi.org/10.1109/TKDE.2023.3279207

Wang Z; Chen C; Dong D, 2023, 'A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning', IEEE Transactions on Cybernetics, 53, pp. 7509 - 7520, http://dx.doi.org/10.1109/TCYB.2022.3170485

Back to profile page