Search Results for author: Jia-Ru Lin

Found 5 papers, 1 papers with code

Scalable Learning Paradigms for Data-Driven Wireless Communication

no code implementations1 Mar 2020 Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jia-Ru Lin, Shuguang Cui

The marriage of wireless big data and machine learning techniques revolutionizes the wireless system by the data-driven philosophy.

Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach

no code implementations3 Jun 2019 Yue Xu, Wenjun Xu, Zhi Wang, Jia-Ru Lin, Shuguang Cui

Third, this work proposes an offline-evaluation based safeguard mechanism to ensure that the online system can always operate with the optimal and well-trained MLB policy, which not only stabilizes the online performance but also enables the exploration beyond current policies to make full use of machine learning in a safe way.

Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification

no code implementations13 Feb 2019 Yue Xu, Feng Yin, Wenjun Xu, Jia-Ru Lin, Shuguang Cui

First, to the best of our knowledge, this paper is the first to empower GP regression with the alternating direction method of multipliers (ADMM) for parallel hyper-parameter optimization in the training phase, where such a scalable training framework well balances the local estimation in baseband units (BBUs) and information consensus among BBUs in a principled way for large-scale executions.

Traffic Prediction

Density-Adaptive Kernel based Efficient Reranking Approaches for Person Reidentification

no code implementations20 May 2018 Ruo-Pei Guo, Chun-Guang Li, Yonghua Li, Jia-Ru Lin, Jun Guo

In this paper, we propose to exploit a density-adaptive smooth kernel technique to achieve efficient and effective reranking.

Person Re-Identification

Improved Successive Cancellation Decoding of Polar Codes

1 code implementation17 Aug 2012 Kai Chen, Kai Niu, Jia-Ru Lin

As improved versions of successive cancellation (SC) decoding algorithm, successive cancellation list (SCL) decoding and successive cancellation stack (SCS) decoding are used to improve the finite-length performance of polar codes.

Information Theory Information Theory

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