Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYiwen Guo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j15]Yiwen Guo
, Qizhang Li, Wangmeng Zuo, Hao Chen:
An Intermediate-Level Attack Framework on the Basis of Linear Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2726-2735 (2023)- [i28]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. CoRR abs/2302.05086 (2023) - 2022
- [j14]Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7167-7174 (2022) - [j13]Zhi Wang, Yiwen Guo, Wangmeng Zuo:
Deepfake Forensics via an Adversarial Game. IEEE Trans. Image Process. 31: 3541-3552 (2022) - [c17]Jiyu Chen, Yiwen Guo, Hao Chen, Neil Gong:
Membership Inference Attack in Face of Data Transformations. CNS 2022: 299-307 - [c16]Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen:
Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations. KDD 2022: 3347-3356 - [i27]Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo:
On Steering Multi-Annotations per Sample for Multi-Task Learning. CoRR abs/2203.02946 (2022) - [i26]Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen:
An Intermediate-level Attack Framework on The Basis of Linear Regression. CoRR abs/2203.10723 (2022) - [i25]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Collaborative Adversarial Training. CoRR abs/2205.11156 (2022) - [i24]Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang:
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR abs/2210.07540 (2022) - [i23]Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Texts as Images in Prompt Tuning for Multi-Label Image Recognition. CoRR abs/2211.12739 (2022) - 2021
- [j12]Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar:
Discovering regions of anomalous spatial co-locations. Int. J. Geogr. Inf. Sci. 35(5): 974-998 (2021) - [j11]Jiyu Chen, Yiwen Guo, Qianjun Zheng, Hao Chen:
Protect privacy of deep classification networks by exploiting their generative power. Mach. Learn. 110(4): 651-674 (2021) - [j10]Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1129-1139 (2021) - [j9]Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin, Chunhong Pan:
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2905-2920 (2021) - [j8]Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections Between Regularizations for Improving DNN Robustness. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4469-4476 (2021) - [j7]Yiwen Guo, Ming Lu, Wangmeng Zuo, Changshui Zhang, Yurong Chen:
Deep Likelihood Network for Image Restoration With Multiple Degradation Levels. IEEE Trans. Image Process. 30: 2669-2681 (2021) - [c15]Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang:
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR 2021 - [c14]Zixiu Wang, Yiwen Guo, Hu Ding:
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems. NeurIPS 2021: 14319-14331 - [i22]Zhi Wang, Yiwen Guo, Wangmeng Zuo:
Deepfake Forensics via An Adversarial Game. CoRR abs/2103.13567 (2021) - [i21]Yiwen Guo, Changshui Zhang:
Recent Advances in Large Margin Learning. CoRR abs/2103.13598 (2021) - [i20]Zixiu Wang, Yiwen Guo, Hu Ding:
Robust Coreset for Continuous-and-Bounded Learning (with Outliers). CoRR abs/2107.00068 (2021) - [i19]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding. CoRR abs/2112.10985 (2021) - [i18]Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and Its Convergence. CoRR abs/2112.11018 (2021) - 2020
- [j6]Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang:
Pointly-supervised scene parsing with uncertainty mixture. Comput. Vis. Image Underst. 200: 103040 (2020) - [j5]Rui Zhu, Yiwen Guo, Jing-Hao Xue:
Adjusting the imbalance ratio by the dimensionality of imbalanced data. Pattern Recognit. Lett. 133: 217-223 (2020) - [j4]Kailun Wu, Yiwen Guo, Changshui Zhang:
Compressing Deep Neural Networks With Sparse Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3828-3838 (2020) - [c13]Qizhang Li, Yiwen Guo, Hao Chen:
Yet Another Intermediate-Level Attack. ECCV (16) 2020: 241-257 - [c12]Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang:
Sparse Coding with Gated Learned ISTA. ICLR 2020 - [c11]Yiwen Guo, Qizhang Li, Hao Chen:
Backpropagating Linearly Improves Transferability of Adversarial Examples. NeurIPS 2020 - [c10]Qizhang Li, Yiwen Guo, Hao Chen:
Practical No-box Adversarial Attacks against DNNs. NeurIPS 2020 - [c9]Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue:
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. ECML/PKDD (2) 2020: 223-238 - [i17]Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Towards Certified Robustness of Metric Learning. CoRR abs/2006.05945 (2020) - [i16]Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang:
On Connections between Regularizations for Improving DNN Robustness. CoRR abs/2007.02209 (2020) - [i15]Qizhang Li, Yiwen Guo, Hao Chen:
Yet Another Intermediate-Level Attack. CoRR abs/2008.08847 (2020) - [i14]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020) - [i13]Qizhang Li, Yiwen Guo, Hao Chen:
Practical No-box Adversarial Attacks against DNNs. CoRR abs/2012.02525 (2020) - [i12]Yiwen Guo, Qizhang Li, Hao Chen:
Backpropagating Linearly Improves Transferability of Adversarial Examples. CoRR abs/2012.03528 (2020)
2010 – 2019
- 2019
- [c8]Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
DATA: Differentiable ArchiTecture Approximation. NeurIPS 2019: 874-884 - [c7]Yiwen Guo, Ziang Yan, Changshui Zhang:
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. NeurIPS 2019: 3820-3829 - [i11]Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen:
Deep Likelihood Network for Image Restoration with Multiple Degradations. CoRR abs/1904.09105 (2019) - [i10]Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Deep Discriminative Clustering Analysis. CoRR abs/1905.01681 (2019) - [i9]Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
Differentiable Architecture Search with Ensemble Gumbel-Softmax. CoRR abs/1905.01786 (2019) - [i8]Ziang Yan, Yiwen Guo, Changshui Zhang:
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. CoRR abs/1906.04392 (2019) - [i7]Ziang Yan, Yiwen Guo, Changshui Zhang:
Adversarial Margin Maximization Networks. CoRR abs/1911.05916 (2019) - 2018
- [c6]Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen:
Sparse DNNs with Improved Adversarial Robustness. NeurIPS 2018: 240-249 - [c5]Ziang Yan, Yiwen Guo, Changshui Zhang:
Deep Defense: Training DNNs with Improved Adversarial Robustness. NeurIPS 2018: 417-426 - [i6]Ziang Yan, Yiwen Guo, Changshui Zhang:
DeepDefense: Training Deep Neural Networks with Improved Robustness. CoRR abs/1803.00404 (2018) - [i5]Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen:
Sparse DNNs with Improved Adversarial Robustness. CoRR abs/1810.09619 (2018) - 2017
- [c4]Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang:
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. CVPR 2017: 870-878 - [c3]Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen:
Network Sketching: Exploiting Binary Structure in Deep CNNs. CVPR 2017: 4040-4048 - [c2]Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen:
Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. ICLR (Poster) 2017 - [i4]Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen:
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights. CoRR abs/1702.03044 (2017) - [i3]Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen:
Network Sketching: Exploiting Binary Structure in Deep CNNs. CoRR abs/1706.02021 (2017) - [i2]Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang:
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. CoRR abs/1707.00383 (2017) - 2016
- [j3]Yiwen Guo, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue:
Sufficient Canonical Correlation Analysis. IEEE Trans. Image Process. 25(6): 2610-2619 (2016) - [c1]Yiwen Guo, Anbang Yao, Yurong Chen:
Dynamic Network Surgery for Efficient DNNs. NIPS 2016: 1379-1387 - [i1]Yiwen Guo, Anbang Yao, Yurong Chen:
Dynamic Network Surgery for Efficient DNNs. CoRR abs/1608.04493 (2016) - 2015
- [j2]Yiwen Guo, Xiaoqing Ding, Jing-Hao Xue:
MiLDA: A graph embedding approach to multi-view face recognition. Neurocomputing 151: 1255-1261 (2015) - 2014
- [j1]Yiwen Guo, Xiaoqing Ding, Chi Fang, Jing-Hao Xue:
Fisher's linear discriminant embedded metric learning. Neurocomputing 143: 7-13 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-03-25 01:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
