Yi Tian Xu

According to our database1, Yi Tian Xu authored at least 19 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Reinforcement learning for communication load balancing: approaches and challenges.
Frontiers Comput. Sci., 2023

Adaptive Dynamic Programming for Energy-Efficient Base Station Cell Switching.
CoRR, 2023

Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios.
CoRR, 2023

Communication Load Balancing via Efficient Inverse Reinforcement Learning.
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

2022
Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2022

Short-term Load Forecasting with Deep Boosting Transfer Regression.
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

Attentive Knowledge Transfer for Short-term Load Forecasting.
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

2021
Hierarchical Policy Learning for Hybrid Communication Load Balancing.
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

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
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Human Motion Prediction Via Pattern Completion in Latent Representation Space.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2015
Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice.
Proceedings of the Ninth International Conference on Web and Social Media, 2015


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