Search Results for author: Liangtian Wan

Found 4 papers, 0 papers with code

Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving

no code implementations IEEE Transactions on Intelligent Transportation Systems 2021 Liangtian Wan, Yuchen Sun, Lu Sun, Member, Zhaolong Ning, Senior Member, and Joel J. P. C. Rodrigues, Fellow, IEEE

Abstract— In this paper, a novel system architecture including a massive multi-input multi-output (MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is considered in vehicle location systems.

Autonomous Vehicles Super-Resolution

Graph Learning: A Survey

no code implementations3 May 2021 Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu

In this survey, we present a comprehensive overview on the state-of-the-art of graph learning.

BIG-bench Machine Learning Combinatorial Optimization +3

Random Walks: A Review of Algorithms and Applications

no code implementations9 Aug 2020 Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong

In this paper, we aim to provide a comprehensive review of classical random walks and quantum walks.

Link Prediction Network Embedding

Big Networks: A Survey

no code implementations9 Aug 2020 Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He guo, Feng Xia

This paper proposes a guideline framework that gives an insight into the major topics in the area of network science from the viewpoint of a big network.

Community Detection Link Prediction +1

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