By Professor Daoyi Dong

Conference Papers

Dong D; Chen C; Zhang C; Chen Z, 2005, 'An autonomous mobile robot based on quantum algorithm', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 393 - 398, http://dx.doi.org/10.1007/11596448_57

Dong D; Chen C; Chen Z, 2005, 'Quantum reinforcement learning', in Lecture Notes in Computer Science, pp. 686 - 689, http://dx.doi.org/10.1007/11539117_97

Dong D; Chen Z, 2004, 'Research on modeling and simulation of quantum control systems', in Proceedings of the World Congress on Intelligent Control and Automation WCICA, pp. 276 - 279

Wolkowicz MD; Smith JA; Dong D; Dagli SS, 1997, 'Reactor chemistry & microstructure of polypropylene grafts', in ANTEC'97 - PLASTICS SAVING PLANET EARTH, CONFERENCE PROCEEDINGS, VOLS 1 - 3, SOC PLASTICS ENGINEERS, CANADA, TORONTO, pp. 1664 - 1670, presented at 55th Annual Technical Conference of the Society-of-Plastics-Engineers - Plastics Saving Planet Earth (ANTEC 97), CANADA, TORONTO, 27 April 1997 - 02 May 1997

DeMaio VV; Dong D, 1997, 'The effect of chain structure on melt strength of polypropylene and polyethylene', in ANTEC'97 - PLASTICS SAVING PLANET EARTH, CONFERENCE PROCEEDINGS, VOLS 1 - 3, SOC PLASTICS ENGINEERS, CANADA, TORONTO, pp. 1512 - 1516, presented at 55th Annual Technical Conference of the Society-of-Plastics-Engineers - Plastics Saving Planet Earth (ANTEC 97), CANADA, TORONTO, 27 April 1997 - 02 May 1997

Gelbard G; Sherrington DC; Breton F; Benelmoudeni M; Charreyre MT; Dong D, 1994, 'Polymers with ligated peroxotungstic units: Organophosphoryl macroligands for the catalytic epoxidation of alkenes.', in Pittman CU; Carraher CE; Zeldin M; Sheats JE; Culbertson BM (eds.), METAL-CONTAINING POLYMERIC MATERIALS, PLENUM PRESS DIV PLENUM PUBLISHING CORP, DC, WASHINGTON, pp. 265 - 275, presented at International Symposium on Metal-Containing Polymeric Materials, at the 208th National American-Chemical-Society Meeting, DC, WASHINGTON, 20 August 1994 - 25 August 1994

GELBARD G; BRETON F; CHARREYRE MT; DONG D, 1991, 'POLYPYRIDINE-BASED CATALYSTS - EPOXIDATION OF OLEFINS WITH SUPPORTED PEROXOTUNGSTIC COMPLEXES', in MAKROMOLEKULARE CHEMIE-MACROMOLECULAR SYMPOSIA, HUTHIG & WEPF VERLAG, ITALY, SIENA, pp. 353 - 361, presented at 4TH INTERNATIONAL SYMP ON MACROMOLECULAR METAL COMPLEXES, ITALY, SIENA, 30 September 1991 - 05 October 1991, http://dx.doi.org/10.1002/masy.19920590129

Conference Abstracts

Zhu Y; Tian F; Dong D; Young J; Lai J, 2018, 'Study of fish self- adapting behaviour in Karman vortex street using reinforcement learning', in The 13th World Congress in Computational Mechanics, presented at The 13th World Congress in Computational Mechanics, 22 July 2018 - 27 July 2018

Reports

Dong D, 2020, Quantum Cybernetics Technical Committee Reports: Investigating the Role of Quantum Effects in Regulating Quantum and Classical Systems, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, http://dx.doi.org/10.1109/MSMC.2019.2952458, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000528940200005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Dong D; Shi G; Vuglar S; James MR, 2017, Special issue on quantum control Dedicated to the occasion of Prof. Ian Petersen’s 60th birthday, Springer Nature, http://dx.doi.org/10.1007/s11768-017-6200-4

Preprints

Xiao S; Wang X; Wang Y; Hou Z; Zhang J; Petersen IR; Yan W-Z; Yonezawa H; Nori F; Xiang G-Y; Dong D, 2026, Unified formalism and adaptive algorithms for optimal quantum state, detector and process tomography, http://dx.doi.org/10.48550/arxiv.2509.05988

Liu J; Li H; Sun Z; Chen C; Bian Y; Wang B; Dong D; Chen C; Wang Z, 2026, Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation, http://dx.doi.org/10.48550/arxiv.2601.12401

Li B; Sun Z; Bian J; Wu Y; Wang Y; Li H; Bian Y; Mo H; Dong D, 2026, StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics, http://dx.doi.org/10.48550/arxiv.2604.03315

Chen Y; Yan K; Pan Y; Dong D, 2025, QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis, http://dx.doi.org/10.48550/arxiv.2510.27091

Yokoyama S; Laverick KT; McManus D; Yu Q; Chantasri A; Asavanant W; Dong D; Wiseman HM; Yonezawa H, 2025, Tracking Quantum Dynamics in an Optical Cavity for Recovering Purity and Squeezing via Quantum State Smoothing, http://dx.doi.org/10.48550/arxiv.2509.04754

Fu H; Dong H; Xu W; Zhou Z; Deng G; Tang K; Dong D; Chen C, 2025, Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots, http://dx.doi.org/10.48550/arxiv.2505.09979

Ma H; Dong D; Petersen IR; Huang C-J; Xiang G-Y, 2025, Neural networks for quantum state tomography with constrained measurements, http://dx.doi.org/10.48550/arxiv.2111.09504

Ma H; Mooney GJ; Petersen IR; Hollenberg LCL; Dong D, 2025, Quantum autoencoders using mixed reference states, http://dx.doi.org/10.48550/arxiv.2309.15582

Ma H; Sun Z; Dong D; Chen C; Rabitz H, 2025, Tomography of Quantum States from Structured Measurements via quantum-aware transformer, http://dx.doi.org/10.48550/arxiv.2305.05433

Ma H; Qi B; Petersen IR; Wu R-B; Rabitz H; Dong D, 2025, Machine Learning for Estimation and Control of Quantum Systems, http://dx.doi.org/10.48550/arxiv.2503.03164

Zhang B; Li Z; Wang Z; Yu Y; Tan HH; Jagadish C; Dong D; Fu L, 2025, Physics-Aware Inverse Design for Nanowire Single-Photon Avalanche Detectors via Deep Learning, http://dx.doi.org/10.48550/arxiv.2502.18857

Song C; Liu Y; Zhang G; Mo H; Dong D, 2025, Learning-Based Design of LQG Controllers in Quantum Coherent Feedback, http://dx.doi.org/10.48550/arxiv.2502.08170

Xu J; Sun Q; Yang Y; Mo H; Dong D, 2025, Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context, http://dx.doi.org/10.48550/arxiv.2404.13391

Xiao S; Liang W; Wang Y; Dong D; Petersen IR; Ugrinovskii V, 2025, Simultaneous estimations of quantum state and detector through multiple quantum processes, http://dx.doi.org/10.48550/arxiv.2502.11772

Hong Q-Q; Dong D; Henriksen NE; Nori F; He J; Shu C-C, 2025, Precise Quantum Control of Molecular Rotation Toward a Desired Orientation, http://dx.doi.org/10.48550/arxiv.2502.10196

Song C; Liu Y; Dong D; Yonezawa H, 2025, Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control, http://dx.doi.org/10.48550/arxiv.2408.11328

Wang Y; Qi B; Ferrie C; Dong D, 2024, Trainability Enhancement of Parameterized Quantum Circuits via Reduced-Domain Parameter Initialization, http://dx.doi.org/10.48550/arxiv.2302.06858

Wang Y; Wang X; Qi B; Dong D, 2024, Supervised Learning Guarantee for Quantum AdaBoost, http://dx.doi.org/10.48550/arxiv.2402.02376

Selim A; Mo H; Pota H; Dong D, 2024, Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing, http://dx.doi.org/10.48550/arxiv.2408.09989

Liu Y-H; Zeng Y; Tan Q-S; Dong D; Nori F; Liao J-Q, 2024, Optimal control of linear Gaussian quantum systems via quantum learning control, http://dx.doi.org/10.48550/arxiv.2406.05597

Bao L; Qi B; Nori F; Dong D, 2024, Exponential sensitivity revival of noisy non-Hermitian quantum sensing with two-photon drives, http://dx.doi.org/10.48550/arxiv.2303.16575

Wang X; Qi B; Wang Y; Dong D, 2024, EHA: Entanglement-variational Hardware-efficient Ansatz for Eigensolvers, http://dx.doi.org/10.48550/arxiv.2311.01120

Liu Y; Dong D; Petersen IR; Yonezaw H, 2023, Fault-tolerant $H^\infty$ control for optical parametric oscillators with pumping fluctuations, http://dx.doi.org/10.48550/arxiv.2307.14583

Liu Y; Dong D; Kuang S; Petersen IR; Yonezawa H, 2023, Two-step feedback preparation of entanglement for qubit systems with time delay, http://dx.doi.org/10.48550/arxiv.2307.14599

Liu J; Wang Z; Chen C; Dong D, 2023, Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2204.07729

Cho B; Xiao Y; Hui P; Dong D, 2023, Quantum bandit with amplitude amplification exploration in an adversarial environment, http://dx.doi.org/10.48550/arxiv.2208.07144

Shindi O; Yu Q; Girdhar P; Dong D, 2023, Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2302.02371

Xie D; Wang Z; Chen C; Dong D, 2023, Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation, http://dx.doi.org/10.48550/arxiv.2203.02896

Fan L-B; Shu C-C; Dong D; He J; Henriksen NE; Nori F, 2022, Quantum Coherent Control of a Single Molecular-Polariton Rotation, http://dx.doi.org/10.48550/arxiv.2212.11649

Chen Y; Pan Y; Dong D, 2022, Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations, http://dx.doi.org/10.48550/arxiv.2108.08659

Jiang C; Pan Y; Wu Z-G; Gao Q; Dong D, 2022, Robust optimization for quantum reinforcement learning control using partial observations, http://dx.doi.org/10.48550/arxiv.2206.14420

Ma H; Huang C-J; Chen C; Dong D; Wang Y; Wu R-B; Xiang G-Y, 2022, On compression rate of quantum autoencoders: Control design, numerical and experimental realization, http://dx.doi.org/10.48550/arxiv.2005.11149

Wang Z; Chen C; Dong D, 2022, A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2205.10787

Wang Z; Chen C; Dong D, 2022, Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments, http://dx.doi.org/10.48550/arxiv.2010.04605

Dong D; Petersen IR, 2022, Quantum estimation, control and learning: opportunities and challenges, http://dx.doi.org/10.48550/arxiv.2201.05835

Bao L; Qi B; Dong D, 2021, Exponentially-enhanced Quantum Non-Hermitian Sensing via Optimized Coherent Drive, http://dx.doi.org/10.48550/arxiv.2109.04040

Chen Y; Pan Y; Dong D, 2021, Quantum Language Model with Entanglement Embedding for Question Answering, http://dx.doi.org/10.48550/arxiv.2008.09943

Li Y; Aghvami AH; Dong D, 2021, Path Planning for Cellular-Connected UAV: A DRL Solution with Quantum-Inspired Experience Replay, http://dx.doi.org/10.48550/arxiv.2108.13184

Wang Y; Yokoyama S; Dong D; Petersen IR; Huntington EH; Yonezawa H, 2021, Two-stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental Results, http://dx.doi.org/10.48550/arxiv.1905.05323

Bao L; Qi B; Dong D; Nori F, 2021, Fundamental limits for reciprocal and non-reciprocal non-Hermitian quantum sensing, http://dx.doi.org/10.48550/arxiv.2104.10822

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