Gang Wang
Orcid: 0000-0002-7266-2412Affiliations:
- Beijing Institute of Technology, School of Automation, China
- University of Minnesota, Minneapolis, MN, USA (former)
According to our database1,
Gang Wang
authored at least 124 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
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
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
2023
Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight.
IEEE Robotics Autom. Lett., December, 2023
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
Event-triggered consensus control of heterogeneous multi-agent systems: model- and data-based approaches.
Sci. China Inf. Sci., September, 2023
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
IEEE CAA J. Autom. Sinica, March, 2023
J. Frankl. Inst., 2023
IEEE CAA J. Autom. Sinica, 2023
IEEE Control. Syst. Lett., 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
CoRR, 2023
Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors.
CoRR, 2023
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
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
IEEE Trans. Signal Process., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Fully Distributed Adaptive Event-Triggered Control of Networked Systems With Actuator Bias Faults.
IEEE Trans. Cybern., 2022
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
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022
Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis.
CoRR, 2022
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
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
J. Frankl. Inst., 2021
IEEE Internet Things J., 2021
Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol.
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
IEEE Trans. Veh. Technol., 2020
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2020
IEEE Trans. Circuits Syst., 2020
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
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
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
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
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
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets.
IEEE Trans. Signal Process., 2019
IEEE Trans. Smart Grid, 2019
IEEE Trans. Control. Netw. Syst., 2019
Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks.
IEEE Trans. Cogn. Commun. Netw., 2019
Frontiers Inf. Technol. Electron. Eng., 2019
Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation.
CoRR, 2019
CoRR, 2019
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation.
CoRR, 2019
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
Proceedings of the IEEE International Conference on Acoustics, 2019
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
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Inf. Theory, 2018
CoRR, 2018
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
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
IEEE Trans. Signal Process., 2017
Scalable Solvers of Random Quadratic Equations via Stochastic Truncated Amplitude Flow.
IEEE Trans. Signal Process., 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
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
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
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
CoRR, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
CoRR, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
CoRR, 2013
CoRR, 2013