Jiajun Wu

According to our database, Jiajun Wu authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs.

Baichuan Zhao, Jiajun Wu, Yang Ma, Chenyang Yang

IEEE Open J. Commun. Soc., 2024

2023

Resource Allocation for URLLC with Parameter Generation Network.

Jiajun Wu, Chengjian Sun, Chenyang Yang

J. Commun. Inf. Networks, December, 2023

Proactive Hybrid Precoding for Time-varying mmWave Channel with Deep Learning.

Ruiming Wang, Jiajun Wu, Chenyang Yang

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Learning Precoding Policy with Inductive Biases: Graph Neural Networks or Meta-Learning?

Baichuan Zhao, Yang Ma, Jiajun Wu, Chenyang Yang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Improving Learning Efficiency for Wireless Resource Allocation with Symmetric Prior.

Chengjian Sun, Jiajun Wu, Chenyang Yang

IEEE Wirel. Commun., 2022

2020

Proactive Caching and Bandwidth Allocation in Heterogenous Networks by Learning From Historical Numbers of Requests.

Jiajun Wu, Chenyang Yang, Binqiang Chen

IEEE Trans. Commun., 2020

Data Representation for Deep Learning with Priori Knowledge of Symmetric Wireless Tasks.

Chengjian Sun, Jiajun Wu, Chenyang Yang

CoRR, 2020

A Three-Level Scoring System for Fast Similarity Evaluation Based on Smith-Waterman Algorithm.

Yujie Zhang, Jiajun Wu, Minghao Li, Jun Lin, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Proactive Optimization with Unsupervised Learning.

Jiajun Wu, Chengjian Sun, Chenyang Yang

CoRR, 2019

Why Simple Models Perform Well in Predicting Popularity for Caching?

Jiajun Wu, Chenyang Yang

Proceedings of the 25th Asia-Pacific Conference on Communications, 2019

2017

Caching and bandwidth allocation policy optimization in heterogeneous networks.

Jiajun Wu, Binqiang Chen, Chenyang Yang, Qi Li

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017