Yuwen Yang

Orcid: 0000-0002-5405-5096

According to our database1, Yuwen Yang authored at least 26 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.
CoRR, 2024

2023
MIMO Detector Selection With Federated Learning.
IEEE Trans. Wirel. Commun., July, 2023

Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction.
IEEE J. Sel. Areas Commun., July, 2023

Towards Hetero-Client Federated Multi-Task Learning.
CoRR, 2023

UNIDEAL: Curriculum Knowledge Distillation Federated Learning.
CoRR, 2023

Position-Aware Subgraph Neural Networks with Data-Efficient Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming.
IEEE Trans. Commun., 2022

Dynamic Neural Network for MIMO Detection.
IEEE J. Sel. Areas Commun., 2022

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test.
CoRR, 2022

Completely Heterogeneous Federated Learning.
CoRR, 2022

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective.
CoRR, 2022

2021
Outreach Strategies for Vaccine Distribution: A Multi-period Stochastic Modeling Approach.
Oper. Res. Forum, 2021

Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction.
IEEE J. Sel. Areas Commun., 2021

Sensory Data Assisted Downlink Channel Prediction for Massive MIMO.
Proceedings of the ICC 2021, 2021

2020
Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems.
IEEE Trans. Commun., 2020

Model-Aided Deep Neural Network for Source Number Detection.
IEEE Signal Process. Lett., 2020

Learning Combined Set Covering and Traveling Salesman Problem.
CoRR, 2020

Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

2019
Deep Learning-Based Downlink Channel Prediction for FDD Massive MIMO System.
IEEE Commun. Lett., 2019

Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems.
CoRR, 2019

Optimizing vaccine distribution networks in low and middle-income countries.
CoRR, 2019

Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels.
IEEE Access, 2019

2018
Mode Modulation for Wireless Communications With a Twist.
IEEE Trans. Veh. Technol., 2018

2017
The economics of distributed power: A Marcellus Shale case study.
Comput. Ind. Eng., 2017

Mode Modulation for Orbital-Angular-Momentum Based Wireless Vorticose Communications.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2004
Modelling Concurrency with Tabular Expressions.
Proceedings of the International Conference on Software Engineering Research and Practice, 2004


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