Accretionary Learning with Deep Neural Networks. - Xinyu Wei; Biing-Hwang Fred Juang; Ouya Wang; Shenglong Zhou 001; Geoffrey Ye Li (CoRR, 2021)

Learn to Adapt to New Environment from Past Experience and Few Pilot. - Ouya Wang; Jiabao Gao; Geoffrey Ye Li (CoRR, 2022)

Few-Shot Learning for New Environment Adaptation. - Ouya Wang; Shenglong Zhou 001; Geoffrey Ye Li (GLOBECOM, 2023)

Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design. - Ouya Wang; Shenglong Zhou 001; Geoffrey Ye Li (MLSP, 2023)

New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming. - Ouya Wang; Shenglong Zhou 001; Geoffrey Ye Li (CoRR, 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., 2023)

BADM: Batch ADMM for Deep Learning. - Ouya Wang; Shenglong Zhou 001; Geoffrey Ye Li (CoRR, 2024)

Fast Adaptation for Deep Learning-based Wireless Communications. - Ouya Wang; Hengtao He; Shenglong Zhou 001; Zhi Ding 001; Shi Jin 002; Khaled B. Letaief; Geoffrey Ye Li (CoRR, 2024)

Accretionary Learning With Deep Neural Networks With Applications. - Xinyu Wei; Biing-Hwang Juang; Ouya Wang; Shenglong Zhou 001; Geoffrey Ye Li (IEEE Trans. Cogn. Commun. Netw., 2024)

Preconditioned Inexact Stochastic ADMM for Deep Model. - Shenglong Zhou 001; Ouya Wang; Ziyan Luo; Yongxu Zhu; Geoffrey Ye Li (CoRR, 2025)

Large Language Models for Wireless Communications: From Adaptation to Autonomy. - Le Liang; Hao Ye 004; Yucheng Sheng; Ouya Wang; Jiacheng Wang 001; Shi Jin 002; Geoffrey Ye Li (CoRR, 2025)