By Professor Daoyi Dong

Conference Papers

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 Proceedings of the 32nd ACM International Conference on Multimedia, ACM, pp. 6637 - 6645, presented at MM '24: The 32nd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3664647.3680898

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

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

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

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, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000682772900117&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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

Xie D; Wang Z; Chen C; Dong D, 2020, 'IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206820

Yu Q; Dong D; Wang Y; Petersen IR, 2020, 'Capability comparison of quantum sensors of single or two qubits for a spin chain system', in IFAC-PapersOnLine, pp. 263 - 268, http://dx.doi.org/10.1016/j.ifacol.2020.12.133

Liu Y; Dong D; Petersen IR; Gao Q; Ding SX; Yonezawa H, 2020, 'Coherent H^∞ control for Markovian jump linear quantum systems', in IFAC-PapersOnLine, pp. 269 - 274, http://dx.doi.org/10.1016/j.ifacol.2020.12.134

Wang Y; Dong D; Yonezawa H, 2019, 'Tomography of binary quantum detectors', in Proceedings of the IEEE Conference on Decision and Control, pp. 396 - 400, http://dx.doi.org/10.1109/CDC40024.2019.9029759

Yu Q; Wang Y; Dong D; Xiang GY, 2019, 'Generation of accessible sets for a class of quantum spin networks', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1160 - 1165, http://dx.doi.org/10.1109/SMC.2019.8914516

Liu Y; Dong D; Petersen IR; Kuang S; Yonezawa H, 2019, 'Feedback preparation of Bell states for two-qubit systems with time delay', in Proceedings of the American Control Conference, Philadelphia, PA,, pp. 5008 - 5013, presented at American Control Conference (ACC), Philadelphia, PA,, 10 July 2019 - 12 July 2019, http://dx.doi.org/10.23919/ACC.2019.8814881

Xiang Y; Dong D; Chen C, 2019, 'Ultrafast-pulse generation using inhomogeneous laser fields and performance analysis', in Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019, pp. 335 - 339, http://dx.doi.org/10.1109/ICNSC.2019.8743238

Yu Q; Dong D; Petersen I, 2018, 'Quantum Filtering for a Qubit System Subject to Classical Disturbances', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 2869 - 2874, http://dx.doi.org/10.1109/SMC.2018.00488

Kuang S; Lu X; Dong D, 2018, 'Stability of a Class of Linear Quantum Feedback Systems with Time Delays', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, pp. 2864 - 2868, http://dx.doi.org/10.1109/SMC.2018.00487

Sun X; Kuang S; Dong D, 2017, 'Rapid control of two-qubit systems based on measurement feedback', in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, pp. 310 - 315, http://dx.doi.org/10.1109/SMC.2017.8122621

Yokoyama S; Pozza ND; Serikawa T; Kuntz KB; Wheatley TA; Dong D; Huntington EH; Yonezawa H, 2017, 'The quantum entanglement of measurement', in Optics InfoBase Conference Papers, Optica Publishing Group, Washington, D.C. United States, pp. fth3e.6, presented at Frontiers in Optics 2017, Washington, D.C. United States, 18 September 2017 - 21 September 2017, http://dx.doi.org/10.1364/FIO.2017.FTh3E.6

Zhang W; Dong D; Petersen IR, 2017, 'Adaptive target scheme for learning control of post-field alignment', in Chinese Control Conference, CCC, Dalian, China, pp. 9752 - 9756, presented at 2017 36th Chinese Control Conference (CCC), Dalian, China, 26 July 2017 - 28 July 2017, http://dx.doi.org/10.23919/ChiCC.2017.8028912

Wang Y; Yin Q; Dong D; Qi B; Petersen IR; Hou Z; Yonezawa H; Xiang GY, 2017, 'Efficient identification of unitary quantum processes', in 2017 Australian and New Zealand Control Conference, ANZCC 2017, pp. 196 - 201, http://dx.doi.org/10.1109/ANZCC.2017.8298511

Dong D; Wang Y, 2017, 'Several recent developments in estimation and robust control of quantum systems', in 2017 Australian and New Zealand Control Conference, ANZCC 2017, pp. 190 - 195, http://dx.doi.org/10.1109/ANZCC.2017.8298510

Wang Y; Dong D; Petersen IR; Zhang J, 2017, 'An Approximate Algorithm for Quantum Hamiltonian Identification with Complexity Analysis', pp. 11744 - 11748, http://dx.doi.org/10.1016/j.ifacol.2017.08.1949

Yu Q; Dong D; Petersen IR; Gao Q, 2017, 'Hybrid Filtering for a Class of Quantum Systems with Classical Disturbances', pp. 11738 - 11743, http://dx.doi.org/10.1016/j.ifacol.2017.08.1948

Dong D; Wang Y; Hou Z; Qi B; Pan Y; Xiang GY, 2017, 'State Tomography of Qubit Systems Using Linear Regression Estimation and Adaptive Measurements', pp. 13014 - 13019, http://dx.doi.org/10.1016/j.ifacol.2017.08.1955

Wang Y; Dong D; Petersen IR, 2017, 'An approximate quantum Hamiltonian identification algorithm using a Taylor expansion of the matrix exponential function', in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 5523 - 5528, http://dx.doi.org/10.1109/CDC.2017.8264478

Zhang W; Dong D; Petersen IR, 2017, 'Learning control for maximizing the purity at a fixed time in an open quantum system', in 2016 Australian Control Conference, AuCC 2016, pp. 387 - 390, http://dx.doi.org/10.1109/AUCC.2016.7868221

Wang Y; Qi B; Dong D; Petersen IR, 2016, 'An iterative algorithm for Hamiltonian identification of quantum systems', in 2016 IEEE 55th Conference on Decision and Control, CDC 2016, IEEE, Las Vegas, USA, pp. 2523 - 2528, presented at 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, USA, 12 December 2016 - 14 December 2016, http://dx.doi.org/10.1109/CDC.2016.7798641

Zhang W; Dong D; Petersen IR, 2016, 'Learning control of population transfer between subspaces of quantum systems using an adaptive target scheme', in Proceedings of the International Joint Conference on Neural Networks, pp. 3930 - 3934, http://dx.doi.org/10.1109/IJCNN.2016.7727709

Wang C; Zhang W; Shu CC; Dong D, 2016, 'Learning a control field for simultaneous state transformation in CO molecules', in Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 1180 - 1184, http://dx.doi.org/10.1109/WCICA.2016.7578430

Pan Y; Dong D; Petersen IR; Pan Y, 2016, 'A direct method for analysis and synthesis of a decoherence-free mode in quantum linear systems', in Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers (IEEE), Boston, Massachusetts, USA, pp. 4760 - 4764, presented at 2016 American Control Conference (ACC), Boston, Massachusetts, USA, 06 July 2016 - 08 July 2016, http://dx.doi.org/10.1109/ACC.2016.7526106

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