Communication-Efficient Activity Detection for Cell-Free Massive MIMO: An Augmented Model-Driven...

[PDF] arxiv.org

pfedlvm: A large vision model (lvm)-driven and latent feature-based personalized federated learning framework in autonomous driving

WB Kou, Q Lin, M Tang, S Xu, R Ye, Y Leng… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep learning-based Autonomous Driving (AD) models often exhibit poor generalization
due to data heterogeneity in an ever domain-shifting environment. While Federated …
被引用次数：6 相关文章 所有 3 个版本
[PDF] arxiv.org

Fedrc: A rapid-converged hierarchical federated learning framework in street scene semantic understanding

WB Kou, Q Lin, M Tang, S Wang… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Street Scene Semantic Understanding (denoted as TriSU) is a crucial but complex task for
world-wide distributed autonomous driving (AD) vehicles (eg, Tesla). Its inference model …
被引用次数：4 相关文章 所有 4 个版本
[PDF] researchgate.net

Intelligent Reflecting Surface Aided Activity Detection for Massive Access: Performance Analysis and Learning Approach

Q Lin, Y Li, YC Wu, R Zhang - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
This paper investigates a covariance-based approach for intelligent reflecting surface (IRS)
aided activity detection in massive machine-type communications (mMTC). In the …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

An adverse weather-immune scheme with unfolded regularization and foundation model knowledge distillation for street scene understanding

WB Kou, G Zhu, R Ye, S Wang, Q Lin, M Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
Various adverse weather conditions pose a significant challenge to autonomous driving
(AD) perception. A common strategy is to minimize the disparity between images captured in …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory

WB Kou, Q Lin, M Tang, S Wang, R Ye, G Zhu… - arXiv preprint arXiv …, 2025 - arxiv.org
To improve the generalization of the autonomous driving (AD) perception model, vehicles
need to update the model over time based on the continuously collected data. As time …
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[PDF] arxiv.org

Covariance-Based Device Activity Detection with Massive MIMO for Near-Field Correlated Channels

Z Wang, Y Li, YF Liu, J Ma - arXiv preprint arXiv:2411.05492, 2024 - arxiv.org
This paper studies the device activity detection problem in a massive multiple-input multiple-
output (MIMO) system for near-field communications (NFC). In this system, active devices …
相关文章 所有 2 个版本
[PDF] researchgate.net

[PDF][PDF] Adverse Weather-Resilient Street Scene Understanding through Temporal Correlation and Unfolded Regularization

WB Kou, G Zhu, R Ye, S Wang, Q Lin, M Tang, YC Wu - researchgate.net
Diverse adverse weather conditions pose a significant challenge to autonomous driving
(AD) perception. A common strategy is to minimize the disparity between images captured in …
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