Yuzhu Mao

According to our database, Yuzhu Mao authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning.

Xin Cao, Haoyu Wang, Yuzhu Mao, Xinda Liu, Linzhi Su, Kang Li

CoRR, July, 2025

Enhancing Parameter Efficiency and Generalization in Large Models: A Regularized and Masked Low-Rank Adaptation Approach.

Yuzhu Mao, Zihao Zhao, Siqi Ping, Yang Liu, Wenbo Ding

Trans. Mach. Learn. Res., 2025

TRRS-DM: Two-stage Resampling and Residual Shifting for high-fidelity texture inpainting of Terracotta Warriors utilizing Diffusion Models.

Xin Cao, Peiyuan Quan, Yuzhu Mao, Rui Cao, Linzhi Su, Kang Li

Pattern Recognit., 2025

2024

AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy.

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

IEEE Trans. Mob. Comput., June, 2024

SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.

Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang

IEEE Trans. Mob. Comput., May, 2024

Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach.

Yuzhu Mao, Siqi Ping, Zihao Zhao, Yang Liu, Wenbo Ding

CoRR, 2024

FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering.

Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding

CoRR, 2024

FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation.

Jiaqi Li, Chenyu Zhao, Yuzhu Mao, Xinlei Chen, Wenbo Ding, Xiaoyang Qu, Jianzong Wang

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

2023

Towards efficient communications in federated learning: A contemporary survey.

Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding

J. Frankl. Inst., 2023

AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.

Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang

CoRR, 2023

2022

Communication-Efficient Federated Learning with Adaptive Quantization.

Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding

ACM Trans. Intell. Syst. Technol., 2022