AoI-Aware Resource Management for Smart Health Via Deep Reinforcement Learning. - Beining Wu; Zhengkun Cai; Wei Wu; Xiaobin Yin (IEEE Access, 2023)

Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates. - Miao Lu; Beining Wu; Xiaodong Yang; Difan Zou (CoRR, 2023)

A fault-tolerant and energy-efficient design of a network switch based on a quantum-based nano-communication technique. - Dong Pan; Beining Wu; Yi-Liu Sun; Yi-Peng Xu (Sustain. Comput. Informatics Syst., 2023)

Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate. - Miao Lu; Beining Wu; Xiaodong Yang; Difan Zou (ICLR, 2024)

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. - Siyu Chen 001; Beining Wu; Miao Lu; Zhuoran Yang; Tianhao Wang 002 (ICLR, 2025)

FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning. - Beining Wu; Jun Huang; Qiang Duan (WASA (1), 2025)

Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework. - Beining Wu; Jun Huang 002; Qiang Duan; Liang Dong 001; Zhipeng Cai (CoRR, 2025)

"X of Information" Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systems. - Beining Wu; Jun Huang; Shui Yu (CoRR, 2025)

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression. - Xingwu Chen; Miao Lu; Beining Wu; Difan Zou (CoRR, 2025)

A Fast UAV Trajectory Planning Framework in RIS-Assisted Communication Systems With Accelerated Learning via Multithreading and Federating. - Jun Huang 002; Beining Wu; Qiang Duan; Liang Dong 001; Shui Yu 001 (IEEE Trans. Mob. Comput., 2025)

Random test generators demystified: Differences and potential for compiler reliability. - Yang Wang 165; Zeyu Lu; Beining Wu; Yibiao Yang; Hongmin Lu; Yuming Zhou (Sci. Comput. Program., 2026)