Ruigang Wang - RankMe

77 papers A* 2B 2C 6Journal 49Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LipKernel: Lipschitz-bounded convolutional neural networks via dissipative layers. Autom. Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2026	J	`jnl`	Remarks on Lipschitz-Minimal Interpolation: Generalization Bounds and Neural Network Implementation. CoRR Arthur C. B. de Oliveira, Ruigang Wang, Ian R. Manchester, Eduardo D. Sontag
2025	J	`jnl`	A Stable Recurrent Equilibrium Network-Based Controller for Proton Exchange Membrane Fuel Cell in DC Microgrids. IEEE Trans. Smart Grid Yulin Liu, Ruigang Wang, Wendong Feng, Ran Li, Zhongbao Wei, Herbert H. C. Iu, Tyrone Fernando, Xinan Zhang
2025	J	`jnl`	Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees. CoRR Kanghong Shi, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	Norm-Bounded Low-Rank Adaptation. CoRR Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
2025	J	`jnl`	Permittivity Characterization of Chang'E-5 Lunar Regolith Using In Situ Ground-Penetrating Radar Measurements. IEEE Trans. Geosci. Remote. Sens. Ruigang Wang, Yan Su, Chunyu Ding, Wei Du, Shuangzhi Xia, Zongyu Zhang, Shun Dai, Xiaohang Qiu, Chuanhu Tang, Songzheng Yu, Qing Zhang, Chendi Liu, Tiansheng Hong, Shuning Liu
2025	J	`jnl`	R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks. CoRR Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN. CoRR Nicholas H. Barbara, Ruigang Wang, Alexandre Megretski, Ian R. Manchester
2025	J	`jnl`	Real-Time Measurement of Longitudinal Electron Spin Polarization in SERF Comagnetometers. IEEE Trans. Instrum. Meas. Ruigang Wang, Feng Li, Zhuo Wang, Zehua Liu, Sixun Liu, Bodong Qin, Li Xing, Zhenghong Qian
2025	—	`conf`	Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses. CDC Yurui Zhang, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses. CoRR Yurui Zhang, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	A Novel Data-Driven Physical Iterative Modeling Approach and its Application in Quantum Instrumentation. IEEE Trans. Syst. Man Cybern. Syst. Bodong Qin, Zhuo Wang, Wenfeng Fan, Ruigang Wang, Feng Li, Wei Quan
2024	—	`conf`	Learning Stable and Passive Neural Differential Equations. CDC Jing Cheng, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	Learning Stable and Passive Neural Differential Equations. CoRR Jing Cheng, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers. CoRR Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2024	A*	`conf`	Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. ICML Ruigang Wang, Krishnamurthy Dj Dvijotham, Ian R. Manchester
2024	J	`jnl`	Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
2024	J	`jnl`	On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. CoRR Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Ruigang Wang, Zhuo Wang, Sixun Liu, Tao Li, Feng Li, Bodong Qin, Qinglai Wei
2024	J	`jnl`	Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. Max Revay, Ruigang Wang, Ian R. Manchester
2023	A*	`conf`	Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Fractional Exponential Feedback Control for Finite-Time Stabilization and its Application in a Spin-Exchange Relaxation-Free Comagnetometer. IEEE Trans. Cybern. Zhuo Wang, Ruigang Wang, Sixun Liu, Li Xing, Bodong Qin
2023	J	`jnl`	Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. IEEE Control. Syst. Lett. Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
2023	—	`conf`	Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2023	—	`conf`	Learning Stable and Robust Linear Parameter-Varying State-Space Models. CDC Chris Verhoek, Ruigang Wang, Roland Tóth
2023	J	`jnl`	Learning Stable and Robust Linear Parameter-Varying State-Space Models. CoRR Chris Verhoek, Ruigang Wang, Roland Tóth
2023	—	`conf`	Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. CDC Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2023	J	`jnl`	Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2023	J	`jnl`	Magnetic Field Compensation Control for Spin-Exchange Relaxation-Free Comagnetometer Using Reinforcement Learning. IEEE Trans. Instrum. Meas. Feng Li, Zhuo Wang, Ruigang Wang, Sixun Liu, Bodong Qin, Zehua Liu, Xinxiu Zhou
2023	C	`conf`	Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC Ruigang Wang, Armaghan Zafar, Ian R. Manchester
2023	J	`jnl`	RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. CoRR Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester
2022	J	`jnl`	Atomic Spin Polarization Controllability Analysis: A Novel Controllability Determination Method for Spin-Exchange Relaxation-Free Co-Magnetometers. IEEE CAA J. Autom. Sinica Zhuo Wang, Sixun Liu, Ruigang Wang, Linlin Yuan, Jiong Huang, Yueyang Zhai, Sheng Zou
2022	J	`jnl`	Electromagnetic Signal Attenuation Characteristics in the Lunar Regolith Observed by the Lunar Regolith Penetrating Radar (LRPR) Onboard the Chang'E-5 Lander. Remote. Sens. Chunyu Ding, Yan Su, Zhonghan Lei, Zongyu Zhang, Mi Song, Yuanzhou Liu, Ruigang Wang, Qingquan Li, Chunlai Li, Shaopeng Huang
2022	J	`jnl`	Hyperfine Structure of Regolith Unveiled by Chang'E-5 Lunar Regolith Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. Yan Su, Ruigang Wang, Xiangjin Deng, Zongyu Zhang, Jianfeng Zhou, Zhiyong Xiao, Chunyu Ding, Yuxi Li, Shun Dai, Xin Ren, Xingguo Zeng, Xingye Gao, Jianjun Liu, Dawei Liu, Bin Liu, Bin Zhou, Guangyou Fang, Chunlai Li
2022	J	`jnl`	Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR Ruigang Wang, Armaghan Zafar, Ian R. Manchester
2022	J	`jnl`	Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. Bowen Yi, Ruigang Wang, Ian R. Manchester
2022	C	`conf`	Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC Ruigang Wang, Ian R. Manchester
2021	C	`conf`	A Convex Parameterization of Robust Recurrent Neural Networks. ACC Max Revay, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. Max Revay, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	A Novel Approach for Permittivity Estimation of Lunar Regolith Using the Lunar Penetrating Radar Onboard Chang'E-4 Rover. Remote. Sens. Ruigang Wang, Yan Su, Chunyu Ding, Shun Dai, Chendi Liu, Zongyu Zhang, Tiansheng Hong, Qing Zhang, Chunlai Li
2021	—	`conf`	Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC Ian R. Manchester, Max Revay, Ruigang Wang
2021	J	`jnl`	Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR Ian R. Manchester, Max Revay, Ruigang Wang
2021	J	`jnl`	Flight Experiment Validation of Altitude Measurement Performance of MOSIR on Tianwen-1 Orbiter. Remote. Sens. Tiansheng Hong, Yan Su, Mingyi Fan, Shun Dai, Peng Lv, Chunyu Ding, Zongyu Zhang, Ruigang Wang, Chendi Liu, Wei Du, Shuning Liu, Chunlai Li
2021	J	`jnl`	Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
2021	J	`jnl`	Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth
2021	—	`conf`	Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC Max Revay, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR Max Revay, Ruigang Wang, Ian R. Manchester
2021	C	`conf`	Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC Bowen Yi, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR Ruigang Wang, Ian R. Manchester
2020	C	`conf`	Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	Convex Sets of Robust Recurrent Neural Networks. CoRR Max Revay, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	Data-based Analysis Methods for the State Controllability and State Observability of Discrete-time LTI Systems with Time-delays. J. Robotics Netw. Artif. Life Zhuo Wang, Ruigang Wang
2020	J	`jnl`	Lipschitz Bounded Equilibrium Networks. CoRR Max Revay, Ruigang Wang, Ian R. Manchester
2020	—	`conf`	On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC Bowen Yi, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR Bowen Yi, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR Bowen Yi, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR Ruigang Wang, Roland Tóth, Ian R. Manchester
2019	J	`jnl`	A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR Ruigang Wang, Roland Tóth, Ian R. Manchester
2019	J	`jnl`	Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR Ruigang Wang, Ian R. Manchester
2019	—	`conf`	Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC Ruigang Wang, Ian R. Manchester
2019	J	`jnl`	Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR Ruigang Wang, Ian R. Manchester
2018	—	`conf`	Advanced-step Stochastic Model Predictive Control using Random Forests. CDC Ruigang Wang, Jie Bao
2018	J	`jnl`	Fault diagnosis based on dissipativity property. Comput. Chem. Eng. Qingyang Lei, Ruigang Wang, Jie Bao
2018	—	`conf`	Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty. ANZCC Yitao Yan, Ruigang Wang, Jie Bao
2017	—	`conf`	A behavior based robust fault detection approach for LTI systems. ASCC Ruigang Wang, Qingyang Lei, Jie Bao
2017	—	`conf`	A modified moving horizon estimation scheme for multi-timescale chemical processes. ANZCC Ruigang Wang, Chee Keong Tan, Jie Bao, Mohd Azlan Hussain
2017	J	`jnl`	Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. Ruigang Wang, Ian R. Manchester, Jie Bao
2016	—	`conf`	Control of distributed energy storage systems in residential microgrids. AuCC Xinan Zhang, Ruigang Wang, Jie Bao, Maria Skyllas-Kazacos
2016	B	`conf`	Deep LSTM Networks for Online Chinese Handwriting Recognition. ICFHR Li Sun, Tonghua Su, Ce Liu, Ruigang Wang
2016	B	`conf`	Novel character segmentation method for overlapped Chinese handwriting recognition based on LSTM neural networks. ICPR Tonghua Su, Shukai Jia, Qiufeng Wang, Li Sun, Ruigang Wang
2016	—	`conf`	Plantwide analysis of large-scale stochastic linear discrete-time systems. AuCC Ruigang Wang, Jie Bao
2015	C	`conf`	Decentralized control of polynomial systems using differential dissipativity. CCA Ruigang Wang, Jie Bao
2015	—	`conf`	Distributed plantwide process control based on dissipativity. AuCC Jie Bao, Ruigang Wang
2015	—	`conf`	Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity. AuCC Ruigang Wang, Jie Bao
2014	—	`conf`	Model predictive control of differentially flat systems using Haar wavelets. AuCC Ruigang Wang, Michael James Tippett, Jie Bao