Yuanyuan Shi

Orcid: 0000-0002-6182-7664

According to our database1, Yuanyuan Shi authored at least 100 papers between 1999 and 2024.

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Bibliography

2024
Online Learning for Robust Voltage Control Under Uncertain Grid Topology.
IEEE Trans. Smart Grid, September, 2024

Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping.
IEEE Trans. Autom. Control., August, 2024

An improved multi-filter fusion indoor localization algorithm based on INS and UWB.
Earth Sci. Informatics, June, 2024

Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function.
IEEE Trans. Smart Grid, May, 2024

Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China.
Remote. Sens., April, 2024

Predicting Strategic Energy Storage Behaviors.
IEEE Trans. Smart Grid, 2024

A Semi-Supervised Underexposed Image Enhancement Network With Supervised Context Attention and Multi-Exposure Fusion.
IEEE Trans. Multim., 2024

Stability-Constrained Learning for Frequency Regulation in Power Grids With Variable Inertia.
IEEE Control. Syst. Lett., 2024

Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels.
CoRR, 2024

Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery.
CoRR, 2024

Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants.
CoRR, 2024

Improving Sequential Market Clearing via Value-oriented Renewable Energy Forecasting.
CoRR, 2024

Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach.
CoRR, 2024

Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE.
CoRR, 2024

Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D.
CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.
CoRR, 2024

Neural operators of backstepping controller and observer gain functions for reaction-diffusion PDEs.
Autom., 2024

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

PDE control gym: A benchmark for data-driven boundary control of partial differential equations.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Contributions of Individual Generators to Nodal Carbon Emissions.
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023
Challenges in smart tourism: a media content analysis of digital barriers for senior tourists in China.
J. Inf. Technol. Tour., December, 2023

Loop Closure Detection Method Based on Similarity Differences between Image Blocks.
Sensors, October, 2023

A review on street view observations in support of the sustainable development goals.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023

A Practical End-to-End Inventory Management Model with Deep Learning.
Manag. Sci., February, 2023

The Evolution of Interindustry Technology Linkage Topics and Its Analysis Framework in Three-Dimensional Printing Technology.
IEEE Trans. Engineering Management, 2023

Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach With Safe Gradient Flow.
IEEE Control. Syst. Lett., 2023

Deriving Loss Function for Value-oriented Renewable Energy Forecasting.
CoRR, 2023

Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages.
CoRR, 2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
CoRR, 2023

BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Operator Learning for Nonlinear Adaptive Control.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Enabling Data Circulation Based on Computing Force Network<sup>*</sup>.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Reliability Analysis of 3D Light Rail Landscape Interactive Design Teaching System Based on Virtual Reality.
Proceedings of the e-Learning, e-Education, and Online Training, 2023

Automatic Generation of Multidimensional Labels of Educational Resources Based on Grey Clustering.
Proceedings of the e-Learning, e-Education, and Online Training, 2023

BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Leveraging Predictions in Power System Frequency Control: An Adaptive Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Neural Operators for Hyperbolic PDE Backstepping Feedback Laws.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Neural Operators for Hyperbolic PDE Backstepping Kernels.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Thermal Modal Performance of Composite Laminates Embedded with Anti-Symmetric Oblique Coupling Gradient Pre-Strained SMA Wires for Suppressing Resonance.
Symmetry, 2022

Energy Storage Price Arbitrage via Opportunity Value Function Prediction.
CoRR, 2022

FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.
CoRR, 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems.
CoRR, 2022

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems.
CoRR, 2022

Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees.
CoRR, 2022

Carbon-Aware EV Charging.
Proceedings of the IEEE International Conference on Communications, 2022

Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Robust online voltage control with an unknown grid topology.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Demand response model identification and behavior forecast with OptNet: a gradient-based approach.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Design and Implementation of VSTO-based Online Compilation Teaching System for C Language.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

Machine Learning Accelerated PDE Backstepping Observers.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control.
Proceedings of the American Control Conference, 2022

2021
Review of dynamic gesture recognition.
Virtual Real. Intell. Hardw., 2021

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning.
CoRR, 2021

SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation.
CoRR, 2021

Polymatrix Competitive Gradient Descent.
CoRR, 2021

Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training.
CoRR, 2021

Understanding the Safety Requirements for Learning-based Power Systems Operations.
CoRR, 2021

End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning.
CoRR, 2021

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Stable Online Control of Linear Time-Varying Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Time series modeling of the cycle-to-cycle variability in h-BN based memristors.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

Virtual Network Embedding Based on Multidimensional Resource Constraints in Heterogeneous Space-Air-Ground Network.
Proceedings of the 21st International Conference on Communication Technology, 2021

ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020
A Domain Expertise and Word-Embedding Geometric Projection Based Semantic Mining Framework for Measuring the Soft Power of Social Entities.
IEEE Access, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.
Proceedings of the 8th International Conference on Learning Representations, 2020

RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Multi-Agent Reinforcement Learning in Cournot Games.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings.
IEEE Trans. Autom. Control., 2019

Learning in Cournot Games with Limited Information Feedback.
CoRR, 2019

Tristate Resistive Switching in Heterogenous Van Der Waals Dielectric Structures.
Proceedings of the IEEE International Reliability Physics Symposium, 2019

Optimal Control Via Neural Networks: A Convex Approach.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
A Combinatorial Solution to Point Symbol Recognition.
Sensors, 2018

Analysis of intellectual property cooperation behavior and its simulation under two types of scenarios using evolutionary game theory.
Comput. Ind. Eng., 2018

Attention Based Joint Model with Negative Sampling for New Slot Values Recognition.
Proceedings of the 9th International Workshop on Spoken Dialogue System Technology, 2018

Enhanced reliability of hexagonal boron nitride dielectric stacks due to high thermal conductivity.
Proceedings of the IEEE International Reliability Physics Symposium, 2018

Zero-Shot Question Classification Using Synthetic Samples.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Developing dynamic intuitionistic normal fuzzy aggregation operators for multi-attribute decision-making with time sequence preference.
Expert Syst. Appl., 2017

Optimal Battery Control Under Cycle Aging Mechanisms.
CoRR, 2017

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains.
CoRR, 2017

Linguistic-valued lattice implication algebra TOPSIS method based on entropy weight method.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Similarity Degree for Multi-Attribute Decision Making with Incomplete Dual Hesitant Fuzzy Sets.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Linguistic Truth-Valued Multi-Attribute Decision Making Approach Based on TOPSIS.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Optimal regulation response of batteries under cycle aging mechanisms.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Modeling and optimization of complex building energy systems with deep neural networks.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Leveraging energy storage to optimize data center electricity cost in emerging power markets.
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

Product Review Summarization by Exploiting Phrase Properties.
Proceedings of the COLING 2016, 2016

2014
Emotionally Representative Image Discovery for Social Events.
Proceedings of the International Conference on Multimedia Retrieval, 2014

The Development and Validation of the Social Network Sites (SNSs) Usage Questionnaire.
Proceedings of the Social Computing and Social Media, 2014

2013
Who Are Seeking Friends? The Portrait of Stranger-Seeker in Social Network Sites.
Proceedings of the Online Communities and Social Computing, 2013

Understanding Social Network Sites (SNSs) Preferences: Personality, Motivation, and Happiness Matters.
Proceedings of the Online Communities and Social Computing, 2013

2010
Dynamic Modeling on Nitrogen Assignment in Tobacco.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

2009
A Research on Exception Monitoring and Handling.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

2002
Comparative study of linear feature transformation techniques for Mandarin digit string recognition.
Proceedings of the 2002 International Symposium on Chinese Spoken Language Processing, 2002

2001
Single-chip speech recognition system based on 8051 microcontroller core.
IEEE Trans. Consumer Electron., 2001

1999
A dynamic neural network for syllable recognition.
Proceedings of the International Joint Conference Neural Networks, 1999


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