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Guohao Li
FLAG: Adversarial Data Augmentation for Graph Neural Networks

Oct 19, 2020
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein


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LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks

Aug 24, 2020
Guohao Li, Mengmeng Xu, Silvio Giancola, Ali Thabet, Bernard Ghanem

* Originally submitted to ECCV'2020 but rejected. This work was filed with the United States Patent and Trademark Office (USPTO) on May 19, 2020 and assigned Serial No. 63/027,241 
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DeeperGCN: All You Need to Train Deeper GCNs

Jun 13, 2020
Guohao Li, Chenxin Xiong, Ali Thabet, Bernard Ghanem

* This work is still working in process. More results will be updated in the future version. Project website: https://www.deepgcns.org 
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PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

Nov 30, 2019
Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem

* The website and source code of this work is available at https://sites.google.com/kaust.edu.sa/pugcn and https://github.com/guochengqian/PU-GCN respectively 
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SGAS: Sequential Greedy Architecture Search

Nov 30, 2019
Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali Thabet, Bernard Ghanem

* Project website: https://sites.google.com/kaust.edu.sa/sgas 
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DeepGCNs: Making GCNs Go as Deep as CNNs

Oct 15, 2019
Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem

* First two authors contributed equally. This work is a journal extension of our ICCV'19 paper arXiv:1904.03751 
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Ordinal Distribution Regression for Gait-based Age Estimation

May 27, 2019
Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan


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Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing

Apr 18, 2019
Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

* Accepted at CVPRW'19: UAVision 2019. First two authors contributed equally. Based on the initial work of arXiv:1803.01129 which was eventually split into two separate projects 
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Can GCNs Go as Deep as CNNs?

Apr 07, 2019
Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem

* First two authors contributed equally. Preprint 
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OIL: Observational Imitation Learning

Nov 27, 2018
Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

* Preprint 
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Teaching UAVs to Race With Observational Imitation Learning

Mar 03, 2018
Guohao Li, Matthias Mueller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

* Preprint 
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A novel improved fuzzy support vector machine based stock price trend forecast model

Jan 02, 2018
Shuheng Wang, Guohao Li, Yifan Bao

* This paper is accepted by the International Conference on Innovations in Economic Management and Social Science (IEMSS 2017) and International Conference on Humanities, Management Engineering and Education Technology (HMEET 2017) 
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Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks

Dec 03, 2017
Guohao Li, Hang Su, Wenwu Zhu


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