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
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
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
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
Zixian GuoPhD student, Harbin Institute of TechnologyVerified email at stu.hit.edu.cn
Bing Bai (白冰)Microsoft MAIVerified email at microsoft.com
Xiaochen YangLecturer, School of Mathematics & Statistics, University of GlasgowVerified email at glasgow.ac.uk
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
Dynamic network surgery for efficient DNNs Y Guo, A Yao, Y Chen NeurIPS, 2016	1384	2016
Incremental network quantization: Towards lossless CNNs with low-precision weights A Zhou, A Yao, Y Guo, L Xu, Y Chen ICLR, 2017	1370	2017
Sparse DNNs with Improved Adversarial Robustness Y Guo, C Zhang, C Zhang, Y Chen NeurIPS, 2018	198	2018
Network sketching: Exploiting binary structure in deep CNNs Y Guo, A Yao, H Zhao, Y Chen CVPR, 2017	155	2017
Deep Defense: Training DNNs with Improved Adversarial Robustness Z Yan, Y Guo, C Zhang NeurIPS, 2018	154	2018
Backpropagating linearly improves transferability of adversarial examples Y Guo, Q Li, H Chen NeurIPS, 2020	122	2020
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-Box Attacks Z Yan, Y Guo, C Zhang NeurIPS, 2019	113	2019
Adjusting the imbalance ratio by the dimensionality of imbalanced data R Zhu, Y Guo, JH Xue Pattern Recognition Letters 133, 217-223, 2020	97	2020
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	82	2017
DATA: Differentiable ArchiTecture Approximation J Chang, X Zhang, Y Guo, G Meng, S Xiang, C Pan NeurIPS, 2019	81*	2019
Deep discriminative clustering analysis J Chang, Y Guo, L Wang, G Meng, S Xiang, C Pan arXiv preprint arXiv:1905.01681, 2019	77	2019
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	69	2023
Practical no-box adversarial attacks against DNNs Q Li, Y Guo, H Chen NeurIPS, 2020	68	2020
CFA: Class-wise Calibrated Fair Adversarial Training Z Wei, Y Wang, Y Guo, Y Wang CVPR, 2023	66	2023
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Y Mo, D Wu, Y Wang, Y Guo, Y Wang NeurIPS, 2022	65	2022
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	60	2021
Yet Another Intermediate-Level Attack Q Li, Y Guo, H Chen ECCV, 2020	56	2020
Sparse Coding with Gated Learned ISTA K Wu, Y Guo, Z Li, C Zhang ICLR, 2020	49	2020
Dynamic neural network surgery A Yao, Y Guo, Y Li, Y Chen US Patent 12,093,813, 2024	48	2024
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Q Li, Y Guo, W Zuo, H Chen ICLR, 2023	38	2023

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