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Author

Beining Wu

Observed names: Bei-Ning Wu, Wu, Beining
Observed institutions: Liaoning Technical University, South Dakota State University, University of Chicago, Anhui Normal University, Hangzhou Dianzi University, Stanford University
ORCID: 0000-0002-6446-5814
Observed ORCIDs: 0000-0002-6446-5814, 0009-0006-0317-0920
OpenAlex ID: A5068821694
A Fast UAV Trajectory Planning Framework in RIS-Assisted Communication Systems With Accelerated Learning via Multithreading and Federating
2025 · Jun Huang, Beining Wu, et al. · IEEE Transactions on Mobile Computing · 77
Real-Time Intelligent Healthcare Enabled by Federated Digital Twins With AoI Optimization
2025 · Beining Wu, Jun Huang, et al. · IEEE Network · 32
AoI-Aware Resource Management for Smart Health Via Deep Reinforcement Learning
2023 · Beining Wu, Zhengkun Cai, et al. · IEEE Access · 30
A Review of Continual Learning in Edge AI
2026 · Beining Wu, Zihao Ding, et al. · IEEE Transactions on Network Science and Engineering · 22
Model‐Free Cooperative Optimal Output Regulation for Linear Discrete‐Time Multi‐Agent Systems Using Reinforcement Learning
2023 · Beining Wu, Wei Wu · Mathematical Problems in Engineering · 22
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A fault-tolerant and energy-efficient design of a network switch based on a quantum-based nano-communication technique
2022 · Dong Pan, Bei-Ning Wu, et al. · Sustainable Computing Informatics and Systems · 19
FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning
2025 · Beining Wu, Jun Huang, et al. · Lecture notes in computer science · 18
Enhancing Vehicular Platooning With Wireless Federated Learning: A Resource-Aware Control Framework
2025 · Beining Wu, Jun Huang, et al. · IEEE Transactions on Networking · 17
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“X of Information” Continuum: A Survey on AI-Driven Multi-Dimensional Metrics for Next-Generation Networked Systems
2026 · Beining Wu, Jun Huang, et al. · IEEE Communications Surveys & Tutorials · 14
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Experimental study on selection of early-strength agent for low-strength cementitious materials prepared with manganese tailings
2018 · Huaqing Wang, Shuguang Zhang, et al. · Environmental Earth Sciences · 13
Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture
2025 · Jun Huang, Beining Wu, et al. · ACM Conference on Research in Adaptive and Convergent Systems (RACS) · 5
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A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
2025 · Yu, Wenjing, Jiang, Shuo, et al. · arXiv (Cornell University) · 2
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RELIEF: Turning Missing Modalities Into Training Acceleration for Federated Learning on Heterogeneous IoT Edge
2026 · Beining Wu, Zihao Ding, et al. · IEEE Internet of Things Journal · 1
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DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality Mri Conditions for Brain Tumor Segmentation
2025 · Yuanhan Wang, Yifei Chen, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 1
TRACE-FND: A Constrained Evidence-Agent Workflow with Trainable Graph Adjudication for Multimodal Fake-News Detection
2026 · Han Xue, Fuyou Mao, et al. · Electronics
Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory
2026 · Wu, Beining, Ding, Zihao, et al. · arXiv (Cornell University)
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Scale: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing
2026 · Zihao Ding, Beining Wu, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS)
From Alpha to Omega: Lifecycle-Aware Forgetting Defense in Federated Continual Learning for Planetary Exploration
2026 · Beining Wu, Jun Huang, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS)
PRISM: Exposing and Resolving Spurious Isolation in Federated Multimodal Continual Learning
2026 · Wu, Beining, Ding, Zihao, et al. · arXiv (Cornell University)
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TSM-Pose: Topology-Aware Learning with Semantic Mamba for Category-Level Object Pose Estimation
2026 · Liu, Jinshuo, Ma, Bingtao, et al. · arXiv (Cornell University)
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FairAgent: A Collaborative Multi-Agent System for Fair Competition Review
2026 · Yuanqing Mao, Jinfei Ye, et al. · Electronics
From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
2026 · Beining Wu, Fuyou Mao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Hierarchical Multi-modal Vision Network for Head-and-Neck Tumor Segmentation and Survival Prediction
2026 · Beining Wu, Enyu Bao, et al. · Lecture notes in computer science
Exposing and Resolving Spurious Isolation in Federated Multimodal Continual Learning
2026 · Beining Wu, Zihao Ding, et al. · IEEE Transactions on Multimedia
AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI
2025 · Wu, Changwei, Chen, Yifei, et al. · arXiv (Cornell University)
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Works count: 28
Citation count: 273
H-index: 10
I10-index: 10
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