Ouya Wang

According to our database, Ouya Wang authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Large Language Models for Wireless Communications: From Adaptation to Autonomy.

Le Liang, Hao Ye, Yucheng Sheng, Ouya Wang, Jiacheng Wang, Shi Jin, Geoffrey Ye Li

CoRR, July, 2025

Preconditioned Inexact Stochastic ADMM for Deep Model.

Shenglong Zhou, Ouya Wang, Ziyan Luo, Yongxu Zhu, Geoffrey Ye Li

CoRR, February, 2025

2024

Accretionary Learning With Deep Neural Networks With Applications.

Xinyu Wei, Biing-Hwang Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

IEEE Trans. Cogn. Commun. Netw., April, 2024

Fast Adaptation for Deep Learning-based Wireless Communications.

Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li

CoRR, 2024

BADM: Batch ADMM for Deep Learning.

Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

CoRR, 2024

2023

Learn to Adapt to New Environments From Past Experience and Few Pilot Blocks.

Ouya Wang, Jiabao Gao, Geoffrey Ye Li

IEEE Trans. Cogn. Commun. Netw., April, 2023

New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming.

Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

CoRR, 2023

Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design.

Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Few-Shot Learning for New Environment Adaptation.

Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

Proceedings of the IEEE Global Communications Conference, 2023

2022

Learn to Adapt to New Environment from Past Experience and Few Pilot.

Ouya Wang, Jiabao Gao, Geoffrey Ye Li

CoRR, 2022

2021

Accretionary Learning with Deep Neural Networks.

Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

CoRR, 2021