Beining Wu

According to our database, Beining Wu authored at least 31 papers between 2023 and 2026.

Collaborative distances:

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

2026

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT.

Shuo Jiang, Yuhao Hong, Chunbo Jiang, Weihong Chen, Huangwei Chen, Shenghao Zhu, Beining Wu, Mingxuan Liu, Zhu Zhu, Feiwei Qin, Min Tan, Yifei Chen

CoRR, May, 2026

SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing.

Zihao Ding, Beining Wu, Jun Huang

CoRR, May, 2026

R2AoP: Reliable and Robust Angle of Progression Estimation from Intrapartum Ultrasound.

Yuanhan Wang, Yifei Chen, Beining Wu, Mingxuan Liu, Xiaotian Hu, Chunbo Jiang, Yijin Li, Changmiao Wang, Feiwei Qin, Qiyuan Tian

CoRR, May, 2026

PRISM: Exposing and Resolving Spurious Isolation in Federated Multimodal Continual Learning.

Beining Wu, Zihao Ding, Jun Huang

CoRR, May, 2026

EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure.

Zihao Ding, Beining Wu, Jun Huang

CoRR, May, 2026

Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks.

Zihao Ding, Beining Wu, Jun Huang, Shiwen Mao

CoRR, April, 2026

Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems.

Beining Wu, Jun Huang

CoRR, April, 2026

From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning.

Beining Wu, Fuyou Mao, Jiong Lin, Cheng Yang, Jiaxuan Lu, Yifu Guo, Siyu Zhang, Yifan Wu, Ying Huang, Fu Li

CoRR, April, 2026

TSM-Pose: Topology-Aware Learning with Semantic Mamba for Category-Level Object Pose Estimation.

Jinshuo Liu, Bingtao Ma, Junlin Su, Guanyuan Pan, Beining Wu, Cheng Yang, Jiaxuan Lu, Chenggang Yan, Shuai Wang

CoRR, April, 2026

RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge.

Beining Wu, Zihao Ding, Jun Huang

CoRR, April, 2026

Real-Time Intelligent Healthcare Enabled by Federated Digital Twins With AoI Optimization.

Beining Wu, Jun Huang, Qiang Duan

IEEE Netw., March, 2026

Enhancing Vehicular Platooning With Wireless Federated Learning: A Resource-Aware Control Framework.

Beining Wu, Jun Huang, Qiang Duan, Liang Dong, Zhipeng Cai

IEEE Trans. Netw., 2026

A Review of Continual Learning in Edge AI.

Beining Wu, Zihao Ding, Jun Huang

IEEE Trans. Netw. Sci. Eng., 2026

Random test generators demystified: Differences and potential for compiler reliability.

Yang Wang, Zeyu Lu, Beining Wu, Yibiao Yang, Hongmin Lu, Yuming Zhou

Sci. Comput. Program., 2026

"X of Information" Continuum: A Survey on AI-Driven Multi-Dimensional Metrics for Next-Generation Networked Systems.

Beining Wu, Jun Huang, Shui Yu

IEEE Commun. Surv. Tutorials, 2026

Constructive Approximation under Carleman's Condition, with Applications to Smoothed Analysis.

Frederic Koehler, Beining Wu

Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025

AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI.

Changwei Wu, Yifei Chen, Yuxin Du, Mingxuan Liu, Jinying Zong, Beining Wu, Jie Dong, Feiwei Qin, Yunkang Cao, Qiyuan Tian

CoRR, December, 2025

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation.

Wenjing Yu, Shuo Jiang, Yifei Chen, Shuo Chang, Yuanhan Wang, Beining Wu, Jie Dong, Mingxuan Liu, Shenghao Zhu, Feiwei Qin, Changmiao Wang, Qiyuan Tian

CoRR, December, 2025

A Tale of Two Geometries: Adaptive Optimizers and Non-Euclidean Descent.

Shuo Xie, Tianhao Wang, Beining Wu, Zhiyuan Li

CoRR, November, 2025

AFDiT: flow-guided transformer diffusion for structure-aware virtual try-on.

Huiming Ding, Beining Wu, Mengtian Li, Zhifeng Xie

Vis. Comput., October, 2025

SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI.

Yuanhan Wang, Yifei Chen, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Jinying Zong, Feiwei Qin, Changmiao Wang, Qiyuan Tian

CoRR, September, 2025

A Fast UAV Trajectory Planning Framework in RIS-Assisted Communication Systems With Accelerated Learning via Multithreading and Federating.

Jun Huang, Beining Wu, Qiang Duan, Liang Dong, Shui Yu

IEEE Trans. Mob. Comput., August, 2025

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression.

Xingwu Chen, Miao Lu, Beining Wu, Difan Zou

CoRR, August, 2025

FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning.

Beining Wu, Jun Huang, Qiang Duan

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture.

Jun Huang, Beining Wu, Zihao Ding, Leo Ostigaard

Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2025

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model.

Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality Mri Conditions for Brain Tumor Segmentation.

Yuanhan Wang, Yifei Chen, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Shenghao Zhu, Feiwei Qin, Jin Fan, Changmiao Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate.

Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., January, 2023

Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates.

Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou

CoRR, 2023

AoI-Aware Resource Management for Smart Health Via Deep Reinforcement Learning.

Beining Wu, Zhengkun Cai, Wei Wu, Xiaobin Yin

IEEE Access, 2023