Gang Wang

Orcid: 0000-0002-7266-2412

Affiliations:
  • Beijing Institute of Technology, School of Automation, China
  • University of Minnesota, Minneapolis, MN, USA (former)


According to our database1, Gang Wang authored at least 137 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Novel Stability Criteria of Asynchronously Switched Nonlinear Neutral Time-Delay Systems.
IEEE Trans. Cybern., October, 2024

Hierarchical MPC-based Motion Planning for Automated Vehicles in Parallel Autonomy.
Unmanned Syst., September, 2024

Event-Triggered Control of Switched Nonlinear Time-Delay Systems With Asynchronous Switching.
IEEE Trans. Cybern., July, 2024

Self-Triggered Consensus Control of Multiagent Systems From Data.
IEEE Trans. Autom. Control., July, 2024

Perturbation-Tolerant Structural Controllability for Linear Systems.
IEEE Trans. Autom. Control., June, 2024

Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments.
Unmanned Syst., March, 2024

Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Online Consensus Control of Nonlinear Affine Systems From Disturbed Data.
IEEE CAA J. Autom. Sinica, February, 2024

Distributed continuous-time proximal algorithm for nonsmooth resource allocation problem with coupled constraints.
Autom., January, 2024

Distributed Constrained Nonlinear Least-Squares Estimation Algorithm Over Unbalanced Directed Networks.
IEEE Trans. Netw. Sci. Eng., 2024

Learning Robust to Distributional Uncertainties and Adversarial Data.
IEEE J. Sel. Areas Inf. Theory, 2024

Transient analysis of production performance and energy consumption in geometric flexible production systems.
Expert Syst. Appl., 2024

A hybrid data- and model-driven learning framework for remaining useful life prognostics.
Eng. Appl. Artif. Intell., 2024

Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning.
CoRR, 2024

Distributed Data-driven Unknown-input Observers.
CoRR, 2024

Online Learning of Linear Quadratic Gaussian Controllers from Noisy Data.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023
Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight.
IEEE Robotics Autom. Lett., December, 2023

Data-Driven Self-Triggered Control via Trajectory Prediction.
IEEE Trans. Autom. Control., November, 2023

State and input observability of multi-agent systems: A necessary and sufficient condition.
Syst. Control. Lett., November, 2023

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time Linear Systems.
IEEE Trans. Cybern., September, 2023

Competitive Meta-Learning.
IEEE CAA J. Autom. Sinica, September, 2023

Event-triggered consensus control of heterogeneous multi-agent systems: model- and data-based approaches.
Sci. China Inf. Sci., September, 2023

Data-Driven Resilient Predictive Control Under Denial-of-Service.
IEEE Trans. Autom. Control., August, 2023

Improved stability conditions for time-varying delay systems via relaxed Lyapunov functionals.
Int. J. Control, June, 2023

Data-driven consensus control of fully distributed event-triggered multi-agent systems.
Sci. China Inf. Sci., May, 2023

Distributed Observer-Based Adaptive Fuzzy Consensus of Nonlinear Multiagent Systems Under DoS Attacks and Output Disturbance.
IEEE Trans. Cybern., March, 2023

Distributed Momentum-Based Frank-Wolfe Algorithm for Stochastic Optimization.
IEEE CAA J. Autom. Sinica, March, 2023

Skin lesion classification based on the VGG-16 fusion residual structure.
Int. J. Imaging Syst. Technol., January, 2023

Data-driven control of consensus tracking for discrete-time multi-agent systems.
J. Frankl. Inst., 2023

Data-Driven Control of Distributed Event-Triggered Network Systems.
IEEE CAA J. Autom. Sinica, 2023

Data-Driven Self-Triggering Mechanism for State Feedback Control.
IEEE Control. Syst. Lett., 2023

Robust Control of Unknown Switched Linear Systems from Noisy Data.
CoRR, 2023

Online Data-driven Control Against False Data Injection Attacks.
CoRR, 2023

Self-triggered Consensus Control of Multi-agent Systems from Data.
CoRR, 2023

Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL.
CoRR, 2023

Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data.
CoRR, 2023

Learning Robust Data-based LQG Controllers from Noisy Data.
CoRR, 2023

EdgeYOLO: An Edge-Real-Time Object Detector.
CoRR, 2023

Self-triggered Resilient Stabilization of Linear Systems with Quantized Output.
CoRR, 2023

Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors.
CoRR, 2023

Self-triggered resilient stabilization of linear systems with quantized outputs.
Autom., 2023

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Driven Self-Triggered Control for Linear Networked Control Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributed Event-Triggered Consensus Control from Noisy Data Using Matrix Polytopes.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Finite-Time Error Bounds of Biased Stochastic Approximation With Application to TD-Learning.
IEEE Trans. Signal Process., 2022

Deep Contrastive Principal Component Analysis Adaptive to Nonlinear Data.
IEEE Trans. Signal Process., 2022

Event-Triggered ADP for Nonzero-Sum Games of Unknown Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Fully Distributed Adaptive Event-Triggered Control of Networked Systems With Actuator Bias Faults.
IEEE Trans. Cybern., 2022

A Mixed Switching Event-Triggered Transmission Scheme for Networked Control Systems.
IEEE Trans. Control. Netw. Syst., 2022

Quantized Impulsive Control of Linear Systems Under Bounded Disturbances and DoS Attacks.
IEEE Trans. Control. Netw. Syst., 2022

Resilient Control Under Quantization and Denial-of-Service: Codesigning a Deadbeat Controller and Transmission Protocol.
IEEE Trans. Autom. Control., 2022

Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis.
CoRR, 2022

Boosting Black-Box Adversarial Attacks with Meta Learning.
CoRR, 2022

Data-Driven Control of Event- and Self-Triggered Discrete-Time Systems.
CoRR, 2022

Person re-identification based on multi-scale global feature and weight-driven part feature.
AI Commun., 2022

AdaPID: An Adaptive PID Optimizer for Training Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Data-Driven Adaptive Control for a Class of Nonlinear MIMO Systems with Input Saturation.
Proceedings of the 13th Asian Control Conference, 2022

2021
Learning Two-Layer ReLU Networks Is Nearly as Easy as Learning Linear Classifiers on Separable Data.
IEEE Trans. Signal Process., 2021

Optimal Switching Attacks and Countermeasures in Cyber-Physical Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Dynamic Triggering Mechanisms for Distributed Adaptive Synchronization Control and Its Application to Circuit Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Network topology identification under the multi-agent agreement protocol.
J. Frankl. Inst., 2021

Resonant Beam Communications With Echo Interference Elimination.
IEEE Internet Things J., 2021

Data-driven Control of Dynamic Event-triggered Systems with Delays.
CoRR, 2021

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol.
CoRR, 2021

On the Generic Low-Rank Matrix Completion Problems.
CoRR, 2021

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Channel-Dependent Scheduling in Wireless Energy Transfer for Mobile Devices.
IEEE Trans. Veh. Technol., 2020

Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2020

Linear Quadratic Regulator of Discrete-Time Switched Linear Systems.
IEEE Trans. Circuits Syst., 2020

Optimal Partial Feedback Attacks in Cyber-Physical Power Systems.
IEEE Trans. Autom. Control., 2020

Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality.
IEEE Internet Things J., 2020

MobiGyges: A mobile hidden volume for preventing data loss, improving storage utilization, and avoiding device reboot.
Future Gener. Comput. Syst., 2020

Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data.
CoRR, 2020

Reinforcement Learning for Caching with Space-Time Popularity Dynamics.
CoRR, 2020

Robust PSSE Using Graph Neural Networks for Data-driven and Topology-aware Priors.
CoRR, 2020

MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning.
Comput. Networks, 2020

Power System State Estimation Using Gauss-Newton Unrolled Neural Networks with Trainable Priors.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Policy Gradient for Reactive Power Control in Distribution Systems.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning connectivity and higher-order interactions in radial distribution grids.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hierarchical Caching via Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks.
IEEE Trans. Signal Process., 2019

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization.
IEEE Trans. Signal Process., 2019

Graph Multiview Canonical Correlation Analysis.
IEEE Trans. Signal Process., 2019

Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets.
IEEE Trans. Signal Process., 2019

Robust and Scalable Power System State Estimation via Composite Optimization.
IEEE Trans. Smart Grid, 2019

Robust Power System State Estimation From Rank-One Measurements.
IEEE Trans. Control. Netw. Syst., 2019

Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks.
IEEE Trans. Cogn. Commun. Netw., 2019

Distribution system state estimation: an overview of recent developments.
Frontiers Inf. Technol. Electron. Eng., 2019

Mobile Energy Transfer in Internet of Things.
IEEE Internet Things J., 2019

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation.
CoRR, 2019

A Statistical Learning Approach to Reactive Power Control in Distribution Systems.
CoRR, 2019

A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation.
CoRR, 2019

Real-time Voltage Control Using Deep Reinforcement Learning.
CoRR, 2019

Adaptive Caching via Deep Reinforcement Learning.
CoRR, 2019

Resonant Beam Communications: Principles and Designs.
IEEE Commun. Mag., 2019

Analytical Models for Resonant Beam Communications.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Two-Timescale Voltage Regulation in Distribution Grids Using Deep Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Power System State Forecasting via Deep Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multiview Canonical Correlation Analysis over Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound.
IEEE Trans. Signal Process., 2018

Sparse Phase Retrieval via Truncated Amplitude Flow.
IEEE Trans. Signal Process., 2018

Canonical Correlation Analysis of Datasets With a Common Source Graph.
IEEE Trans. Signal Process., 2018

Phase Retrieval via Reweighted Amplitude Flow.
IEEE Trans. Signal Process., 2018

Compressive Phase Retrieval via Reweighted Amplitude Flow.
IEEE Trans. Signal Process., 2018

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow.
IEEE Trans. Inf. Theory, 2018

Real-time Power System State Estimation and Forecasting via Deep Neural Networks.
CoRR, 2018

Canonical Correlation Analysis with Common Graph Priors.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Dpca: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Real-Time Power System State Estimation via Deep Unrolled Neural Networks.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Sparse Phase Retrieval Via Iteratively Reweighted Amplitude Flow.
Proceedings of the 26th European Signal Processing Conference, 2018

Nonlinear Discriminative Dimensionality Reduction of Multiple Datasets.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Randomized Block Frank-Wolfe for Convergent Large-Scale Learning.
IEEE Trans. Signal Process., 2017

Scalable Solvers of Random Quadratic Equations via Stochastic Truncated Amplitude Flow.
IEEE Trans. Signal Process., 2017

PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches.
CoRR, 2017

Solving Almost all Systems of Random Quadratic Equations.
CoRR, 2017

Solving Most Systems of Random Quadratic Equations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SPARTA: Sparse phase retrieval via Truncated Amplitude flow.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Solving large-scale systems of random quadratic equations via stochastic truncated amplitude flow.
Proceedings of the 25th European Signal Processing Conference, 2017

Going beyond linear dependencies to unveil connectivity of meshed grids.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic energy management in distribution grids.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Power system state estimation via feasible point pursuit.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Tensor completion via group-sparse regularization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Ergodic Energy Management Leveraging Resource Variability in Distribution Grids.
CoRR, 2015

Adaptive censoring for large-scale regressions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Centralized and Decentralized Optimal Scheduling for Charging Electric Vehicles.
CoRR, 2014

Stochastic Reactive Power Management in Microgrids with Renewables.
CoRR, 2014

Online semidefinite programming for power system state estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Online reconstruction from big data via compressive censoring.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Online censoring for large-scale regressions.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation.
CoRR, 2013

Kalman Filtering Under Innovation-Based Power Scheduling and Data Packet Drops.
CoRR, 2013


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