Yuning Jiang

Orcid: 0000-0002-7145-0995

Affiliations:
  • EPFL, Lausanne, Switzerland
  • ShanghaiTech University, School of Information Science and Technology, China (PhD 2020)
  • University of Chinese Academy of Sciences, Beijing, China (PhD 2020)


According to our database1, Yuning Jiang authored at least 70 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems.
CoRR, March, 2025

Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning.
CoRR, January, 2025

Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems.
IEEE Trans. Netw. Sci. Eng., 2025

Microservice Migration in Hybrid Satellite-Terrestrial Networks for Autonomous Vehicles.
J. Commun. Inf. Networks, 2025

Fast and Lightweight: A real-time parallelizable MPC for embedded systems.
Eur. J. Control, 2025

Safe zeroth-order optimization using quadratic local approximations.
Autom., 2025

2024
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids.
IEEE Trans. Smart Grid, September, 2024

One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation.
IEEE Trans. Wirel. Commun., June, 2024

Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method.
IEEE Trans. Wirel. Commun., June, 2024

Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization.
J. Optim. Theory Appl., May, 2024

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
IEEE Internet Things J., February, 2024

Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework.
CoRR, 2024

Microservice Deployment for Satellite Edge AI Inference via Deep Reinforcement Learning.
Proceedings of the 35th IEEE International Symposium on Personal, 2024

Principled Preferential Bayesian Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dynamic Communication in Multi-Agent Reinforcement Learning via Information Bottleneck.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.
IEEE Trans. Control. Syst. Technol., September, 2023

Self-triggered Control with Energy Harvesting Sensor Nodes.
ACM Trans. Cyber Phys. Syst., July, 2023

Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach.
IEEE Trans. Autom. Control., May, 2023

Parallel MPC for Linear Systems With State and Input Constraints.
IEEE Control. Syst. Lett., 2023

Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints.
CoRR, 2023

Data-Driven Robust Control Using Prediction Error Bounds Based on Perturbation Analysis.
CoRR, 2023

Distributed AC Optimal Power Flow for Generic Integrated Transmission-Distribution Systems.
CoRR, 2023

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
CoRR, 2023

Bayesian Optimization of Expensive Nested Grey-Box Functions.
CoRR, 2023

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Constrained Efficient Global Optimization of Expensive Black-box Functions.
Proceedings of the International Conference on Machine Learning, 2023

Federated Linear Bandit Learning via Over-the-air Computation.
Proceedings of the IEEE Global Communications Conference, 2023

Relaxed Recentered Log-Barrier Function Based Nonlinear Model Predictive Control.
Proceedings of the European Control Conference, 2023

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations.
Proceedings of the European Control Conference, 2023

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

PIQP: A Proximal Interior-Point Quadratic Programming Solver.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Safe Zeroth-Order Optimization Using Linear Programs.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Hypergraph- Based Fast Distributed AC Power Flow Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Over-the-Air Federated Learning via Second-Order Optimization.
IEEE Trans. Wirel. Commun., 2022

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning.
IEEE Trans. Signal Process., 2022

Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization.
IEEE Trans. Smart Grid, 2022

Robust Resource-Aware Self-Triggered Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Resource-Aware Stochastic Self-Triggered Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC.
IEEE Control. Syst. Lett., 2022

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints.
CoRR, 2022

Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles.
CoRR, 2022

Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization.
CoRR, 2022

An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.
CoRR, 2022

Rapid Scalable Distributed Power Flow with Open-Source Implementation.
CoRR, 2022

Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
Distributed Optimization Using ALADIN for MPC in Smart Grids.
IEEE Trans. Control. Syst. Technol., 2021

Over-the-Air Computation via Reconfigurable Intelligent Surface.
IEEE Trans. Commun., 2021

Parallel MPC for Linear Systems With Input Constraints.
IEEE Trans. Autom. Control., 2021

Decentralized Optimization Over Tree Graphs.
J. Optim. Theory Appl., 2021

Distributed Multi-Building Coordination for Demand Response.
CoRR, 2021

Joint Energy Management for Distributed Energy Harvesting Systems.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Block BFGS Based Distributed Optimization for NMPC Using PolyMPC.
Proceedings of the 2021 European Control Conference, 2021

2020
Distributed Optimization for Massive Connectivity.
IEEE Wirel. Commun. Lett., 2020

Decomposition of Nonconvex Optimization via Bi-Level Distributed ALADIN.
IEEE Trans. Control. Netw. Syst., 2020

ALADIN-α - An open-source MATLAB toolbox for distributed non-convex optimization.
CoRR, 2020

Distributed Control Enforcing Group Sparsity in Smart Grids.
CoRR, 2020

A Scheme for Simultaneous Optimal Tracking Control and Experiment Design.
IEEE Access, 2020

An Optical Flow Based Multi-Object Tracking Approach Using Sequential Convex Programming.
Proceedings of the 16th International Conference on Control, 2020

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Optimal Experiment Design for AC Power Systems Admittance Estimation.
CoRR, 2019

Decomposition of non-convex optimization via bi-level distributed ALADIN.
CoRR, 2019

Parallel Explicit Tube Model Predictive Control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Time Splitting Based Real-Time Iteration Scheme for Nonlinear MPC.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Distributed Optimal Power Flow using ALADIN.
CoRR, 2018

Distributed control algorithm for vehicle coordination at traffic intersections.
Proceedings of the 16th European Control Conference, 2018

Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion.
Proceedings of the 2018 Annual American Control Conference, 2018


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