Guangrun Wang

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Liang LinFellow of IEEE/IAPR, Research Director of Peng Cheng Laboratory, Professor of Computer Science, SYSUVerified email at ieee.org
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSVerified email at mail2.sysu.edu.cn
Changlin LiPostDoc, University of Technology SydneyVerified email at uts.edu.au
Xiaojun ChangDirector of The ReLER Lab and Professor in Artificial Intelligence, University of Technology SydneyVerified email at uts.edu.au
Guangcong WangAssistant Professor, Great Bay UniversityVerified email at gbu.edu.cn
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Jianhuang LaiSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Ping Luo (羅平)Associate Professor, The University of Hong KongVerified email at hku.hk
Tao TangSun Yat-sen UniversityVerified email at mail2.sysu.edu.cn
Liuchun YuanSun Yat-sen universityVerified email at mail2.sysu.edu.cn
Hongyang ChaoProfessor of school of software, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Pengzhen RenSun Yat-sen UniversityVerified email at stumail.nwu.edu.cn
Hongjun WangUniversity of Hong KongVerified email at connect.hku.hk
Dongyu zhangSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Bowen WuSun Yat-sen UniversityVerified email at mail2.sysu.edu.cn
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Ruimao ZhangIEEE Senior MemberVerified email at ieee.org
Jiqi ZhangSun Yat-Sen UniversityVerified email at mail2.sysu.edu.cn

Guangrun Wang

Other namesGuangrun Wang（王广润）

University of Oxford; AI Research Team at Aistetic

Verified email at eng.ox.ac.uk - Homepage

Machine Learning General Intelligence Theory and Application


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep feature learning with relative distance comparison for person re-identification S Ding, L Lin, G Wang, H Chao Pattern Recognition 48 (10), 2993-3003, 2015	800	2015
Block-wisely supervised neural architecture search with knowledge distillation C Li, J Peng, L Yuan, G Wang, X Liang, L Lin, X Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	226	2020
Eagleeye: Fast sub-net evaluation for efficient neural network pruning B Li, B Wu, J Su, G Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	218	2020
Distance metric optimization driven convolutional neural network for age invariant face recognition Y Li, G Wang, L Nie, Q Wang, W Tan Pattern Recognition 75, 51-62, 2018	200	2018
Few-shot learning: A survey Y Wang, Q Yao, J Kwok, L Ni arXiv preprint arXiv:1904.05046 1, 2019	191	2019
Cross-domain visual matching via generalized similarity measure and feature learning L Lin, G Wang, W Zuo, X Feng, L Zhang IEEE transactions on pattern analysis and machine intelligence 39 (6), 1089-1102, 2016	174	2016
Dynamic slimmable network C Li, G Wang, B Wang, X Liang, Z Li, X Chang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021	161	2021
Bossnas: Exploring hybrid cnn-transformers with block-wisely self-supervised neural architecture search C Li, T Tang, G Wang, J Peng, B Wang, X Liang, X Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	125	2021
Deep dual learning for semantic image segmentation P Luo, G Wang, L Lin, X Wang Proceedings of the IEEE international conference on computer vision, 2718-2726, 2017	112	2017
Transferable, controllable, and inconspicuous adversarial attacks on person re-identification with deep mis-ranking H Wang, G Wang, Y Li, D Zhang, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	99	2020
Smoothing adversarial domain attack and p-memory reconsolidation for cross-domain person re-identification G Wang, JH Lai, W Liang, G Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	81	2020
Solving inefficiency of self-supervised representation learning G Wang, K Wang, G Wang, PHS Torr, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	70	2021
Adaptively connected neural networks G Wang, K Wang, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	68	2019
Learning object interactions and descriptions for semantic image segmentation G Wang, P Luo, L Lin, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2017	62	2017
DS-Net++: Dynamic weight slicing for efficient inference in CNNs and vision transformers C Li, G Wang, B Wang, X Liang, Z Li, X Chang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4430-4446, 2022	48	2022
Weakly supervised person re-id: Differentiable graphical learning and a new benchmark G Wang, G Wang, X Zhang, J Lai, Z Yu, L Lin IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2142-2156, 2020	48	2020
Viewco: Discovering text-supervised segmentation masks via multi-view semantic consistency P Ren, C Li, H Xu, Y Zhu, G Wang, J Liu, X Chang, X Liang International Conference on Learning Representations (ICLR 2023), 2023	42	2023
Deep structured scene parsing by learning with image descriptions L Lin, G Wang, R Zhang, R Zhang, X Liang, W Zuo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	40	2016
Automated progressive learning for efficient training of vision transformers C Li, B Zhuang, G Wang, X Liang, X Chang, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	38	2022
DARI: Distance Metric and Representation Integration for Person Veriﬁcation G Wang, L Lin, S Ding, Y Li, Q Wang Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	37	2016

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