Xue Liu
Affiliations:- Samsung AI Center Montreal, QC, Canada
According to our database1,
Xue Liu
authored at least 44 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning.
CoRR, 2024
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.
CoRR, 2024
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.
CoRR, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-Based RAN Optimization.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Frontiers Comput. Sci., 2023
Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks.
Proceedings of the IEEE International Conference on Communications, 2023
Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2023
Learning to Adapt: Communication Load Balancing via Adaptive Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2023
Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2022
IEEE Internet Things J., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Coordinated Load Balancing in Mobile Edge Computing Network: a Multi-Agent DRL Approach.
Proceedings of the IEEE International Conference on Communications, 2022
Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Efficient Neural Data Compression for Machine Type Communications via Knowledge Distillation.
Proceedings of the IEEE Global Communications Conference, 2022
Accurate Communication Traffic Forecasting with Multi-Source Adaptive Feature Boosting.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the ICC 2021, 2021
Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2021
Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform.
Proceedings of the IEEE Global Communications Conference, 2021
AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting.
Proceedings of the IEEE Global Communications Conference, 2021
One for All: Traffic Prediction at Heterogeneous 5G Edge with Data-Efficient Transfer Learning.
Proceedings of the IEEE Global Communications Conference, 2021
2020
The Answer Is Blowing in the Wind: Directed Air Flow for Socially-acceptable Human-Robot Interaction.
Proceedings of the International Conference on Robotics, 2020
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020