Beining Wu

24 papers A* 2Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
"X of Information" Continuum: A Survey on AI-Driven Multi-Dimensional Metrics for Next-Generation Networked Systems.
IEEE Commun. Surv. Tutorials
Beining Wu, Jun Huang, Shui Yu
2026 J jnl
A Review of Continual Learning in Edge AI.
IEEE Trans. Netw. Sci. Eng.
Beining Wu, Zihao Ding, Jun Huang
2026 J jnl
Enhancing Vehicular Platooning With Wireless Federated Learning: A Resource-Aware Control Framework.
IEEE Trans. Netw.
Beining Wu, Jun Huang, Qiang Duan, Liang Dong, Zhipeng Cai
2026 J jnl
Random test generators demystified: Differences and potential for compiler reliability.
Sci. Comput. Program.
Yang Wang, Zeyu Lu, Beining Wu, Yibiao Yang, Hongmin Lu, Yuming Zhou
2026 J jnl
Real-Time Intelligent Healthcare Enabled by Federated Digital Twins With AoI Optimization.
IEEE Netw.
Beining Wu, Jun Huang, Qiang Duan
2026 J jnl
Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture.
CoRR
Beining Wu, Zihao Ding, Leo Ostigaard, Jun Huang
2025 J jnl
"X of Information" Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systems.
CoRR
Beining Wu, Jun Huang, Shui Yu
2025 J jnl
A Fast UAV Trajectory Planning Framework in RIS-Assisted Communication Systems With Accelerated Learning via Multithreading and Federating.
IEEE Trans. Mob. Comput.
Jun Huang, Beining Wu, Qiang Duan, Liang Dong, Shui Yu
2025 J jnl
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation.
CoRR
Wenjing Yu, Shuo Jiang, Yifei Chen, Shuo Chang, Yuanhan Wang, Beining Wu, Jie Dong, Mingxuan Liu, Shenghao Zhu, Feiwei Qin, Changmiao Wang, Qiyuan Tian
2025 J jnl
A Tale of Two Geometries: Adaptive Optimizers and Non-Euclidean Descent.
CoRR
Shuo Xie, Tianhao Wang, Beining Wu, Zhiyuan Li
2025 J jnl
AFDiT: flow-guided transformer diffusion for structure-aware virtual try-on.
Vis. Comput.
Huiming Ding, Beining Wu, Mengtian Li, Zhifeng Xie
2025 J jnl
AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI.
CoRR
Changwei Wu, Yifei Chen, Yuxin Du, Mingxuan Liu, Jinying Zong, Beining Wu, Jie Dong, Feiwei Qin, Yunkang Cao, Qiyuan Tian
2025 A* conf
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model.
ICLR
Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang
2025 J jnl
Constructive Approximation under Carleman's Condition, with Applications to Smoothed Analysis.
CoRR
Frederic Koehler, Beining Wu
2025 — conf
DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality Mri Conditions for Brain Tumor Segmentation.
BIBM
Yuanhan Wang, Yifei Chen, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Shenghao Zhu, Feiwei Qin, Jin Fan, Changmiao Wang
2025 J jnl
Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework.
CoRR
Beining Wu, Jun Huang, Qiang Duan, Liang Dong, Zhipeng Cai
2025 — conf
FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning.
WASA (1)
Beining Wu, Jun Huang, Qiang Duan
2025 — conf
Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture.
RACS
Jun Huang, Beining Wu, Zihao Ding, Leo Ostigaard
2025 J jnl
SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI.
CoRR
Yuanhan Wang, Yifei Chen, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Jinying Zong, Feiwei Qin, Changmiao Wang, Qiyuan Tian
2025 J jnl
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression.
CoRR
Xingwu Chen, Miao Lu, Beining Wu, Difan Zou
2024 A* conf
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate.
ICLR
Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou
2023 J jnl
A fault-tolerant and energy-efficient design of a network switch based on a quantum-based nano-communication technique.
Sustain. Comput. Informatics Syst.
Dong Pan, Beining Wu, Yi-Liu Sun, Yi-Peng Xu
2023 J jnl
AoI-Aware Resource Management for Smart Health Via Deep Reinforcement Learning.
IEEE Access
Beining Wu, Zhengkun Cai, Wei Wu, Xiaobin Yin
2023 J jnl
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates.
CoRR
Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou