Yu Liu

Orcid: 0000-0001-5951-8478

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Comprehensive Information System Research Center, Beijing, China
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2010)


According to our database1, Yu Liu authored at least 32 papers between 2010 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Community Microgrid Energy Co-Scheduling Based on Deep Reinforcement Learning and Contribution Mechanisms.
IEEE Trans. Smart Grid, March, 2025

2024
GAN Inversion for Image Editing via Unsupervised Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Continuous-Time Stochastic Policy Iteration of Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Centralized Cooperative Exploration Policy for Continuous Control Tasks.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Pruning the Communication Bandwidth between Reinforcement Learning Agents through Causal Inference: An Innovative Approach to Designing a Smart Grid Power System.
Sensors, 2022

ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods.
Sensors, 2022

Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems.
Expert Syst. Appl., 2022

Unsupervised Domain Adaptation GAN Inversion for Image Editing.
CoRR, 2022

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution.
Proceedings of the International Joint Conference on Neural Networks, 2022

Exploration of Blockchain Technology in Trusted atmospheric Environmental Data.
Proceedings of the International Conference on Big Data, IoT, and Cloud Computing, 2022

POPO: Pessimistic Offline Policy Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Using EEG Nonlinear Dynamic Features and Machine Learning to Identify Different Organizational Commitment.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021
An Immersive Virtual Reality System for Rodents in Behavioral and Neural Research.
Int. J. Autom. Comput., 2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework.
CoRR, 2021

LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders.
CoRR, 2021

MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning.
CoRR, 2021

Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Government Data Sharing based on Blockchain.
Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021

Blockchain based Big Data Platform of City Brain.
Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021

2020
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
Design of Smart Park Venue Rental System based on Blockchain Technology.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Trusted collection, management and sharing of data based on blockchain and IoT devices.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Blockchain in Smart Park: Application Scheme Design.
Proceedings of the 2019 International Electronics Communication Conference, 2019

2017
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy.
IEEE Trans. Ind. Electron., 2017

Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids.
IEEE Trans. Ind. Electron., 2017

Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2017

2015
Multibattery Optimal Coordination Control for Home Energy Management Systems via Distributed Iterative Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2015

2014
Optimal self-learning battery control in smart residential grids by iterative Q-learning algorithm.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2012
Mixed-reality simulation of RFID systems using iterated learning.
Int. J. RF Technol. Res. Appl., 2012

2010
Data-driven testing methodology for RFID systems.
Frontiers Comput. Sci. China, 2010


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