By Professor Daoyi Dong

Conference Papers

Wang R; Li Z; Guo F; Dong D; Mo H, 2025, 'A Comparative Study of Battery SOH Prediction Models: Exploration of Transformer Method with Reversible Instance Normalisation', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4144 - 4150, http://dx.doi.org/10.1109/SMC58881.2025.11342954

Jing Y; Guo F; Zhang C; Qiao L; Mo H; Dong D, 2025, 'A Prescription-Centric Estimation Framework for Bi-Level Power System Operations with Analytical Representation', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4131 - 4136, http://dx.doi.org/10.1109/SMC58881.2025.11343681

Xiao S; Wang Y; Hou Z; Xiang GY; Petersen IR; Dong D, 2025, 'Collective Quantum State Tomography: Closed-Form and Numerical Solutions, and Validation', in Proceedings of 2025 IEEE International Conference on Quantum Control Computing and Learning Qccl 2025, pp. 124 - 131, http://dx.doi.org/10.1109/qCCL65142.2025.11158864

Hu S; Ma H; Lee Y; Dong D; Petersen IR, 2025, 'Control-Enhanced Quantum Metrology Guided by Pontryagin's Minimum Principle', in Proceedings of the IEEE Conference on Decision and Control, pp. 6724 - 6729, http://dx.doi.org/10.1109/CDC57313.2025.11312173

Lee Y; Petersen IR; Dong D, 2025, 'Gradient-Based Optimization for Linear Quantum Systems', in Proceedings of the IEEE Conference on Decision and Control, pp. 6679 - 6684, http://dx.doi.org/10.1109/CDC57313.2025.11312520

Wu W; Liu F; Li H; Hu Z; Dong D; Chen C; Wang Z, 2025, 'Mixture-of-Experts Meets In-Context Reinforcement Learning', in Advances in Neural Information Processing Systems, pp. 28019 - 28053

Lee Y; Petersen IR; Dong D, 2025, 'Model Predictive Control of Two-Level Quantum Systems using Quantum Filtering', in European Control Conference Piscataway N J Online Ecc, pp. 1749 - 1754, http://dx.doi.org/10.23919/ECC65951.2025.11187047

Zhang B; Li Z; Wang Z; Dong D; Fu L, 2025, 'Modeling Nanowire Single-Photon Avalanche Detectors via Deep Neural Networks', in 9th IEEE Electron Devices Technology and Manufacturing Conference Shaping the Future with Innovations in Devices and Manufacturing Edtm 2025, http://dx.doi.org/10.1109/EDTM61175.2025.11040331

Lee Y; Thien RTY; Petersen IR; Dong D, 2025, 'Quantum Coherent Systems for Ground-State Problems', in Proceedings of 2025 IEEE International Conference on Quantum Control Computing and Learning Qccl 2025, pp. 118 - 123, http://dx.doi.org/10.1109/qCCL65142.2025.11158894

Xiao S; Wang Y; Petersen IR; Dong D, 2025, 'Quantum state and detector tomography through closed and open quantum systems', in Proceedings of the IEEE Conference on Decision and Control, pp. 6691 - 6696, http://dx.doi.org/10.1109/CDC57313.2025.11312504

Uddin M; Mo H; Dong D, 2025, 'Real-Time Energy Management Strategies for Community Microgrids', in Conference Proceedings 2025 IEEE International Conference on Energy Technologies for Future Grids Etfg 2025, http://dx.doi.org/10.1109/ETFG61999.2025.11402359

Selim A; Mo H; Pota H; Dong D, 2025, 'RLHF-Driven Household Appliance Scheduling with Dynamic Comfort Windows', in Conference Proceedings 2025 IEEE International Conference on Energy Technologies for Future Grids Etfg 2025, http://dx.doi.org/10.1109/ETFG61999.2025.11402447

Zhang S; Hu Z; Wu W; Xie X; Tang J; Chen C; Dong D; Cheng Y; Sun Z; Wang Z, 2025, 'Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision', in Advances in Neural Information Processing Systems, pp. 87791 - 87822

Jiang W; Zhang Y; Wang M; Mo H; Hussain O; Dong D; Zhang W, 2025, 'Tracking Academic Topic Evolution From the Perspective of Author Interest Shifts', in Proceedings 2025 IEEE International Conference on E Business Engineering Icebe 2025, pp. 48 - 56, http://dx.doi.org/10.1109/ICEBE68123.2025.00015

Sun Z; Wang J; Tan Z; Dong D; Ma H; Li H; Gong D, 2024, 'EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance', in Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia, pp. 6637 - 6645, http://dx.doi.org/10.1145/3664647.3680898

Hu S; Li M; Chen C; Dong D, 2024, 'Fast Quantum Gate Control with Trajectory Optimization', in IFAC Papersonline, pp. 331 - 336, http://dx.doi.org/10.1016/j.ifacol.2024.08.358

Uddin M; Mo H; Dong D; Elsawah S, 2024, 'Energy Management in Community Microgrid-A Techno-economic Study Framework', in 2024 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE, ANZCC, IEEE, AUSTRALIA, Gold Coast, pp. 169 - 174, presented at Australian and New Zealand Control Conference (ANZCC), AUSTRALIA, Gold Coast, 01 February 2024 - 02 February 2024, http://dx.doi.org/10.1109/ANZCC59813.2024.1043292

Song C; Liu Y; Dong D; Mo H, 2024, 'Control Hamiltonian selection for quantum state stabilization using deep reinforcement learning', in Chinese Control Conference Ccc, pp. 6783 - 6788, http://dx.doi.org/10.23919/CCC63176.2024.10662695

Jing Y; Chen J; Qiao L; Mo H; Dong D, 2024, 'Distributed Charging Scheduling and Pricing Strategy for Plug-in Electric Vehicles Based on Stackelberg-Nash and Multi-Cluster Aggregative Games', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4704 - 4709, http://dx.doi.org/10.1109/SMC54092.2024.10831676

Ahmad A; Xiao X; Mo H; Li C; Dong D, 2024, 'Drift-Aware Dynamic Neural Network for Improving Short-Term Load Forecasting', in 2024 International Conference on Smart Energy Systems and Technologies Driving the Advances for Future Electrification Sest 2024 Proceedings, http://dx.doi.org/10.1109/SEST61601.2024.10694209

Uddin M; Mo H; Dong D; Elsawah S, 2024, 'Energy Management in Community Microgrid-A Techno-economic Study Framework', in 2024 Australian and New Zealand Control Conference Anzcc 2024, pp. 169 - 174, http://dx.doi.org/10.1109/ANZCC59813.2024.10432921

Lee Y; Petersen IR; Dong D, 2024, 'Model Predictive Control of Two-level Open Quantum Systems', in Proceedings of the IEEE Conference on Decision and Control, pp. 25 - 30, http://dx.doi.org/10.1109/CDC56724.2024.10886028

Ji H; Kuang S; Dong D; Chen C, 2024, 'Quantum Robust Control for Time-Varying Noises Based on Adversarial Learning', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 3937 - 3942, http://dx.doi.org/10.1109/SMC54092.2024.10831431

Selim A; Mo H; Pota H; Dong D, 2024, 'Safe Optimal Control of Battery Energy Storage Systems via Hierarchical Deep Reinforcement Learning', in 2024 International Conference on Smart Energy Systems and Technologies Driving the Advances for Future Electrification Sest 2024 Proceedings, http://dx.doi.org/10.1109/SEST61601.2024.10694032

Xiao S; Liang W; Wang Y; Dong D; Petersen IR; Ugrinovskii V, 2024, 'Simultaneous quantum state and detector tomography through multiple Hamiltonians', in Proceedings of the IEEE Conference on Decision and Control, pp. 19 - 24, http://dx.doi.org/10.1109/CDC56724.2024.10885898

Selim A; Mo H; Pota H; Wu D; Dong D, 2024, 'State of Health Prediction for Battery Energy Storage Systems under Random Walk Operations', in 2024 6th International Conference on System Reliability and Safety Engineering Srse 2024, pp. 8 - 14, http://dx.doi.org/10.1109/SRSE63568.2024.10772496

Uddin M; Mo H; Dong D, 2024, 'Storage-based Energy Management for Multi-energy Community Microgrid', in 2024 IEEE Kansas Power and Energy Conference Kpec 2024, http://dx.doi.org/10.1109/KPEC61529.2024.10676240

Uddin M; Mo H; Dong D, 2024, 'Sustainable Energy Planning for Community Microgrids Considering Economic, Environmental, and Resilience Factors', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 3918 - 3923, http://dx.doi.org/10.1109/SMC54092.2024.10831111

Ma H; Sun Z; Xiao S; Dong D; Petersen IR, 2023, 'Estimation of Quantum Channels Using Neural Networks', in Proceedings of the IEEE Conference on Decision and Control, pp. 1195 - 1200, http://dx.doi.org/10.1109/CDC49753.2023.10384297

Zhou S; Ma H; Kuang S; Dong D, 2023, 'Guided Reward Design in Continuous Reinforcement Learning for Quantum Control', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 1052 - 1057, http://dx.doi.org/10.1109/SMC53992.2023.10393949

Xiao S; Wang Y; Dong D; Zhang J, 2023, 'Two-Stage Solution for Ancilla-Assisted Quantum Process Tomography: Error Analysis and Optimal Design', in Proceedings of the IEEE Conference on Decision and Control, pp. 7178 - 7183, http://dx.doi.org/10.1109/CDC49753.2023.10383498

Qin JC; Yan Y; Jiang R; Mo H; Dong D, 2022, 'Alternating Direction Method of Multipliers for Solving Joint Chance Constrained Optimal Power Flow under Uncertainties', in IFAC Papersonline, pp. 116 - 121, http://dx.doi.org/10.1016/j.ifacol.2022.09.010

Sanni MT; Pota H; Dong D; Mo H, 2022, 'A Hybrid Decoupled Method for Tertiary Voltage Control of Active Distribution Networks', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence Ssci 2022, pp. 694 - 699, http://dx.doi.org/10.1109/SSCI51031.2022.10022131

Shindi O; Yu Q; Girdhar P; Dong D, 2022, 'A Modified Deep Q-Learning Algorithm for Optimal and Robust Quantum Gate Design of a Single Qubit System', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 2116 - 2122, http://dx.doi.org/10.1109/SMC53654.2022.9945165

Hu S; Chen C; Dong D, 2022, 'Deep Reinforcement Learning for Control Design of Quantum Gates', in Ascc 2022 2022 13th Asian Control Conference Proceedings, pp. 2367 - 2372, http://dx.doi.org/10.23919/ASCC56756.2022.9828135

Sumaya RJ; Mo H; Dong D; Pota H, 2022, 'High Impedance Fault Characterization on Single-Wire Earth Return Systems using Powerline Communication', in Asia Pacific Power and Energy Engineering Conference Appeec, http://dx.doi.org/10.1109/APPEEC53445.2022.10072268

Song C; Liu Y; McManus D; Dong D, 2022, 'Learning Control with Evolution Strategy for Inhomogeneous Open Quantum Ensembles', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 2123 - 2128, http://dx.doi.org/10.1109/SMC53654.2022.9945148

Zhou S; Li G; Dong D; Kuang S, 2022, 'Rapid Preparation of Bell States Based on an Exponential Quantum Projection Filter', in Chinese Control Conference Ccc, pp. 5664 - 5669, http://dx.doi.org/10.23919/CCC55666.2022.9901567

Xiao S; Wang Y; Dong D; Zhang J, 2022, 'Two-stage solution of quantum process tomography in the natural basis', in Proceedings of the IEEE Conference on Decision and Control, pp. 5807 - 5812, http://dx.doi.org/10.1109/CDC51059.2022.9992920

Shindi O; Yu Q; Dong D, 2021, 'A Modified Deep Q-Learning Algorithm for Control of Two-qubit Systems', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 3454 - 3459, http://dx.doi.org/10.1109/SMC52423.2021.9658732

Sanni MT; Pota H; Dong D; Mo H, 2021, 'Coordinated Secondary Voltage Control in Distribution Networks with High PV Penetration', in Icems 2021 2021 24th International Conference on Electrical Machines and Systems, pp. 524 - 529, http://dx.doi.org/10.23919/ICEMS52562.2021.9634347

Ma H; Dong D; Petersen IR, 2021, 'On how neural networks enhance quantum state tomography with limited resources', in Proceedings of the IEEE Conference on Decision and Control, pp. 4146 - 4151, http://dx.doi.org/10.1109/CDC45484.2021.9683315

Prakash K; Ali M; Islam MR; Mo H; Dong D; Pota H, 2021, 'Optimal Coordination of Photovoltaics and Electric Vehicles for Ancillary Services in Low Voltage Distribution Networks', in Icems 2021 2021 24th International Conference on Electrical Machines and Systems, pp. 1008 - 1013, http://dx.doi.org/10.23919/ICEMS52562.2021.9634429

Xiao S; Wang Y; Dong D; Zhang J, 2021, 'Optimal quantum detector tomography via linear regression estimation', in Proceedings of the IEEE Conference on Decision and Control, pp. 4140 - 4145, http://dx.doi.org/10.1109/CDC45484.2021.9683213

Shindi O; Yu Q; Dong D; Tang J, 2020, 'A modified Q-Learning algorithm for control of two-qubit systems', in Proceedings International Conference on Machine Learning and Cybernetics, pp. 194 - 200, http://dx.doi.org/10.1109/ICMLC51923.2020.9469044

Guan X; Kuang S; Dong D, 2020, 'PSO-assisted Lyapunov control design for quantum systems', in 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), IEEE, ELECTR NETWORK, pp. 864 - 870, presented at IEEE Symposium Series on Computational Intelligence (IEEE SSCI), ELECTR NETWORK, 01 December 2020 - 04 December 2020

Zhang P; Gao Q; Lv J; Dong D, 2020, 'Design of a Linear Quantum Projection Filter', in 2020 IEEE Symposium Series on Computational Intelligence Ssci 2020, pp. 876 - 881, http://dx.doi.org/10.1109/SSCI47803.2020.9308176

Guan X; Kuang S; Dong D, 2020, 'PSO-assisted Lyapunov control design for quantum systems', in 2020 IEEE Symposium Series on Computational Intelligence Ssci 2020, pp. 864 - 870, http://dx.doi.org/10.1109/SSCI47803.2020.9308347

Sanni MT; Pota H; Mo H; Dong D, 2020, 'Voltage-Violation Mitigation in Power System Networks with Photo-Voltaic Penetration', in 2020 IEEE Symposium Series on Computational Intelligence Ssci 2020, pp. 882 - 888, http://dx.doi.org/10.1109/SSCI47803.2020.9308485

Yu Q; Dong D; Wang Y; Petersen IR, 2020, 'Adaptive Quantum Process Tomography via Linear Regression Estimation', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 4173 - 4178, http://dx.doi.org/10.1109/SMC42975.2020.9283060

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