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 Nature, pp. 1 - 7, http://dx.doi.org/10.1007/978-1-4471-5102-9_100161-1

Journal articles

Fu H; Dong H; Xu W; Zhou Z; Deng G; Tang K; Dong D; Chen C, 2026, 'Learning diverse natural behaviors for enhancing the agility of quadrupedal robots', Nature Communications, 17, http://dx.doi.org/10.1038/s41467-026-72475-9

Jiang W; Wang M; Mo H; Dong D; Zhang Y; Zhang W, 2026, 'TemSoGraph: Learning temporal social graphs for cyberbullying prediction', Information Sciences, 753, http://dx.doi.org/10.1016/j.ins.2026.123650

Zhang F; Yu Q; Wang Z; Qin JC; Catalanotti E; Martynov S; Porter RTJ; Dong D; Mahgerefteh H, 2026, 'Pressure-aware multi-modal CO2 transport planning for industrial decarbonization: A case study of Germany's steel sector to 2050', Journal of Cleaner Production, 575, http://dx.doi.org/10.1016/j.jclepro.2026.149250

Liang C; Tao S; Xia C; Huang X; Hu H; Wang R; Dong D; Lyu Z; Zhou G; Mo H, 2026, 'Inline quality grading of commercial lithium-ion battery manufacturing via data-efficient learning and transferable assessment', Energy and Environmental Science, 19, pp. 5340 - 5354, http://dx.doi.org/10.1039/d6ee02209j

Gao Z; Xiao X; Mo H; Dong D, 2026, 'Physics-informed condition monitoring for wind turbines via change point detection under heteroscedasticity', Reliability Engineering and System Safety, 272, http://dx.doi.org/10.1016/j.ress.2026.112458

Xu J; Sun Q; Yang Y; Mo H; Dong D, 2026, 'Online planning of power flows for power systems against bushfires using spatial context', Automatica, 189, http://dx.doi.org/10.1016/j.automatica.2026.112985

Selim A; Mo H; Pota H; Dong D, 2026, 'Physics-Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations', Quality and Reliability Engineering International, 42, pp. 1923 - 1940, http://dx.doi.org/10.1002/qre.70186

Xiao S; Liang W; Dong D; Petersen IR; Ugrinovskii V, 2026, 'Two-Disk Synthesis of Coherent Quantum Passive Equalizers for Channels With Hamiltonian Uncertainty', IEEE Transactions on Automatic Control, 71, pp. 4496 - 4511, http://dx.doi.org/10.1109/TAC.2026.3660081

Liang C; Tao S; Shi H; Lyu Z; Ji JC; Dong D; Mo H, 2026, 'Pulse excitation for active battery management systems', npj Clean Energy, 2, http://dx.doi.org/10.1038/s44406-026-00040-w

Ma H; Sun Z; Dong D; Gong D, 2026, 'Learning Informative Latent Representation for Quantum State Tomography', IEEE Transactions on Emerging Topics in Computational Intelligence, 10, pp. 2199 - 2209, http://dx.doi.org/10.1109/TETCI.2025.3543767

Song C; Liu Y; Zhang G; Mo H; Dong D, 2026, 'Evolutionary Optimization-Based Design of LQG Controllers in Quantum Coherent Feedback', IEEE Transactions on Cybernetics, 56, pp. 2791 - 2804, http://dx.doi.org/10.1109/TCYB.2026.3651242

Selim A; Mo H; Pota H; Dong D, 2026, 'Adaptive optimization of BESS and grid set points: A model-free framework for energy management under dynamic tariff pricing', Energy, 346, http://dx.doi.org/10.1016/j.energy.2026.140148

Lee Y; Berberich J; Petersen IR; Dong D, 2026, 'Data-driven control of a single-qubit system based on unitary evolution reconstruction', IFAC Journal of Systems and Control, 35, http://dx.doi.org/10.1016/j.ifacsc.2026.100377

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

Rana MM; Mo H; Romlie MF; Qiao L; Dong D, 2026, 'Rule-based peak shaving strategy with battery storage: Evaluating socio-economic impacts in regional grids', Energy and Buildings, 354, http://dx.doi.org/10.1016/j.enbuild.2026.116983

Gao Z; Xiao X; Mo H; Dong D, 2026, 'A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families', Journal of Quality Technology, 58, pp. 143 - 167, http://dx.doi.org/10.1080/00224065.2025.2612367

Zheng J; Gao Q; Dong D; Ogorzalek M; Du Y, 2026, 'A Quantum Self-Attention Neural Network Model on Quantum Circuits', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2026.3704405

Wu X; Zhu Y; Dong D; Wei J; Chen C, 2026, 'Global and Coalition Cognition Graph Modeling for Interpretable Multiagent Reinforcement Learning', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2026.3703166

Rana MM; Mo H; Shafiullah GM; Qiao L; Dong D, 2026, 'Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks', Journal of Energy Storage, 141, http://dx.doi.org/10.1016/j.est.2025.119502

Rana MM; Mo H; Shafiullah G; Qiao L; Dong D, 2026, 'Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network', IEEE Transactions on Industry Applications, 62, pp. 2172 - 2185, http://dx.doi.org/10.1109/TIA.2025.3605311

Hong Q-Q; Zhang Z-J; Shu C-C; He J; Dong D; Ding D, 2026, 'Precise quantum control of unidirectional field-free molecular orientation', Physical Review A, 113, pp. 013118, http://dx.doi.org/10.1103/4hsj-z8qx

Sun Z; Wang Y; Ng Y; Xu Y; Dong D; Li H; Ji P, 2026, 'T3-S2S: Training-free Triplet Tuning for Sketch to Scene Synthesis in Controllable Concept Art Generation', Transactions on Machine Learning Research, 2026-February

Guo F; Tao S; Zhang J; Zhou H; Ji J; Dong D; Mo H, 2026, 'Frequency Spectral Prior Guided Graph Learning for Degradation Decoupling in Reliable Battery SOH Estimation', Green Energy and Intelligent Transportation, pp. 100446, http://dx.doi.org/10.1016/j.geits.2026.100446

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

Li Z; Yang C; Zhang T; Chen Y; Wang X; Xu G; Dong D, 2025, 'Listwise Preference Alignment Optimization for Tail Item Recommendation', IEEE Transactions on Computational Social Systems, http://dx.doi.org/10.1109/TCSS.2025.3626598

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

Xiao S; Liang W; Wang Y; Dong D; Petersen IR; Ugrinovskii V, 2025, 'Simultaneous Estimations of Quantum State and Detector Through Multiple Quantum Processes', IEEE Transactions on Automatic Control, http://dx.doi.org/10.1109/TAC.2025.3635368

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