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An Efficient End-to-End 3D Model Reconstruction based on Neural Architecture Search


Mar 01, 2022
Yongdong Huang, Yuanzhan Li, Xulong Cao, Siyu Zhang, Shen Cai, Ting Lu, Yuqi Liu


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Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic


Feb 19, 2022
Yuqi Liu, Qichao Zhang, Dongbin Zhao


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High-fidelity 3D Model Compression based on Key Spheres


Jan 20, 2022
Yuanzhan Li, Yuqi Liu, Yujie Lu, Siyu Zhang, Shen Cai, Yanting Zhang

* Accepted in Data Compression Conference (DCC) 2022 as a full paper 

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Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network


Jan 06, 2022
Siawpeng Er, Edward Liu, Minshuo Chen, Yan Li, Yuqi Liu, Tuo Zhao, Hua Wang

* 2021 IEEE MTT-S International Microwave Symposium (IMS) 

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A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios


Sep 22, 2021
Yuqi Liu, Qichao Zhang, Dongbin Zhao


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SN-Graph: a Minimalist 3D Object Representation for Classification


May 31, 2021
Siyu Zhang, Hui Cao, Yuqi Liu, Shen Cai, Yanting Zhang, Yuanzhan Li, Xiaoyu Chi

* ICME 2021 

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Fast Hybrid Cascade for Voxel-based 3D Object Classification


Nov 09, 2020
Hui Cao, Jie Wang, Yuqi Liu, Siyu Zhang, Shen Cai


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