Yiwen Guo

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Yurong ChenSr. Principal AI Scientist / Research Director, Intel Labs ChinaVerified email at intel.com
Anbang Yao (姚安邦)Principal AI Scientist, PE, Intel Labs ChinaVerified email at intel.com
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
Qizhang LiPhD student, Harbin Institute of Technology (HIT).Verified email at stu.hit.edu.cn
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Aojun ZhouThe Chinese University of Hong KongVerified email at link.cuhk.edu.hk
Ziang YanTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jing-Hao XueProfessor, Department of Statistical Science, University College LondonVerified email at ucl.ac.uk
Jianlong ChangNLPR, CASIAVerified email at nlpr.ia.ac.cn
Yisen WangAssistant Professor, Peking UniversityVerified email at pku.edu.cn
Yifei WangMITVerified email at mit.edu
Zixian GuoPhD student, Harbin Institute of TechnologyVerified email at stu.hit.edu.cn
Yichuan MoPh.D. Candidate, Peking UniversityVerified email at stu.pku.edu.cn
Zeming WeiUndergraduate, Peking UniversityVerified email at stu.pku.edu.cn
Xiaochen YangLecturer, School of Mathematics & Statistics, University of GlasgowVerified email at glasgow.ac.uk
Bing Bai (白冰)Microsoft MAIVerified email at microsoft.com
Hao ChenProfessor of Computer Science. IEEE Fellow
Chao ZHANG (张超)HKUST (GZ)Verified email at hkust-gz.edu.cn

Yiwen Guo

Research Scientist

Verified email at bytedance.com - Homepage

Machine Learning Deep Learning Image Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Incremental network quantization: Towards lossless CNNs with low-precision weights A Zhou, A Yao, Y Guo, L Xu, Y Chen ICLR, 2017	1299	2017
Dynamic network surgery for efficient DNNs Y Guo, A Yao, Y Chen NeurIPS, 2016	1296	2016
Sparse DNNs with Improved Adversarial Robustness Y Guo, C Zhang, C Zhang, Y Chen NeurIPS, 2018	184	2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Z Yan, Y Guo, C Zhang NeurIPS, 2018	145	2018
Network sketching: Exploiting binary structure in deep CNNs Y Guo, A Yao, H Zhao, Y Chen CVPR, 2017	142	2017
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-Box Attacks Z Yan, Y Guo, C Zhang NeurIPS, 2019	110	2019
Backpropagating linearly improves transferability of adversarial examples Y Guo, Q Li, H Chen NeurIPS, 2020	106	2020
Adjusting the imbalance ratio by the dimensionality of imbalanced data R Zhu, Y Guo, JH Xue Pattern Recognition Letters 133, 217-223, 2020	82	2020
DATA: Differentiable ArchiTecture Approximation J Chang, X Zhang, Y Guo, G Meng, S Xiang, C Pan NeurIPS, 2019	76*	2019
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation H Zhao, M Lu, A Yao, Y Guo, Y Chen, L Zhang CVPR, 2017	76	2017
Deep discriminative clustering analysis J Chang, Y Guo, L Wang, G Meng, S Xiang, C Pan arXiv preprint arXiv:1905.01681, 2019	70	2019
Practical no-box adversarial attacks against DNNs Q Li, Y Guo, H Chen NeurIPS, 2020	59	2020
Convolutional neural network framework using reverse connections and objectness priors for object detection A Yao, T Kong, M Lu, Y Guo, Y Chen US Patent 11,188,794, 2021	57	2021
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Y Mo, D Wu, Y Wang, Y Guo, Y Wang NeurIPS, 2022	48	2022
Yet Another Intermediate-Level Attack Q Li, Y Guo, H Chen ECCV, 2020	45	2020
Sparse Coding with Gated Learned ISTA K Wu, Y Guo, Z Li, C Zhang ICLR, 2020	45	2020
Texts as Images in Prompt Tuning for Multi-Label Image Recognition Z Guo, B Dong, Z Ji, J Bai, Y Guo, W Zuo CVPR, 2023	44	2023
CFA: Class-wise Calibrated Fair Adversarial Training Z Wei, Y Wang, Y Guo, Y Wang CVPR, 2023	43	2023
Dynamic neural network surgery A Yao, Y Guo, Y Li, Y Chen US Patent App. 16/328,689, 2019	39	2019
Deepfake Forensics via an Adversarial Game Z Wang, Y Guo, W Zuo IEEE Transactions on Image Processing, 2022	32	2022

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