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Yiwen Guo
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2020 – today
- 2024
- [j19]Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng:
Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning. Knowl. Based Syst. 296: 111860 (2024) - [j18]Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng:
Corrigendum to "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning" [Knowledge-Based Systems 296 (2024) 111860]. Knowl. Based Syst. 299: 112117 (2024) - [j17]Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang:
A Theoretical View of Linear Backpropagation and its Convergence. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3972-3980 (2024) - [j16]Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Toward Certified Robustness of Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3834-3844 (2024) - [c30]Jiongliang Lin, Yiwen Guo, Hao Chen:
Intrusion Detection at Scale with the Assistance of a Command-line Language Model. DSN-S 2024: 73-79 - [c29]Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang:
Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. ICASSP 2024: 9301-9305 - [i46]Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen:
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing. CoRR abs/2402.03396 (2024) - [i45]Jiongliang Lin, Yiwen Guo, Hao Chen:
Intrusion Detection at Scale with the Assistance of a Command-line Language Model. CoRR abs/2404.13402 (2024) - [i44]Zixian Guo, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization. CoRR abs/2405.19732 (2024) - [i43]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Improved Generation of Adversarial Examples Against Safety-aligned LLMs. CoRR abs/2405.20778 (2024) - 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) - [c28]Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen:
Understanding Programs by Exploiting (Fuzzing) Test Cases. ACL (Findings) 2023: 10667-10679 - [c27]Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Texts as Images in Prompt Tuning for Multi-Label Image Recognition. CVPR 2023: 2808-2817 - [c26]Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang:
CFA: Class-Wise Calibrated Fair Adversarial Training. CVPR 2023: 8193-8201 - [c25]Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. EMNLP (Findings) 2023: 5356-5368 - [c24]Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu:
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. ICCV 2023: 16479-16489 - [c23]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. ICLR 2023 - [c22]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Squeeze Training for Adversarial Robustness. ICLR 2023 - [c21]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Improving Adversarial Transferability via Intermediate-level Perturbation Decay. NeurIPS 2023 - [c20]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. NeurIPS 2023 - [c19]Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang:
Adversarial Examples Are Not Real Features. NeurIPS 2023 - [i42]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. CoRR abs/2302.05086 (2023) - [i41]Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang:
CFA: Class-wise Calibrated Fair Adversarial Training. CoRR abs/2303.14460 (2023) - [i40]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Improving Adversarial Transferability by Intermediate-level Perturbation Decay. CoRR abs/2304.13410 (2023) - [i39]Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen:
Understanding Programs by Exploiting (Fuzzing) Test Cases. CoRR abs/2305.13592 (2023) - [i38]Qizhang Li, Yiwen Guo, Xiaochen Yang, Wangmeng Zuo, Hao Chen:
Improving Transferability of Adversarial Examples via Bayesian Attacks. CoRR abs/2307.11334 (2023) - [i37]Minheng Ni, Yabo Zhang, Kailai Feng, Xiaoming Li, Yiwen Guo, Wangmeng Zuo:
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models. CoRR abs/2308.16777 (2023) - [i36]Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen:
Code Representation Pre-training with Complements from Program Executions. CoRR abs/2309.09980 (2023) - [i35]Weimin Xiong, Yiwen Guo, Hao Chen:
The Program Testing Ability of Large Language Models for Code. CoRR abs/2310.05727 (2023) - [i34]Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo:
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection. CoRR abs/2310.08139 (2023) - [i33]Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng:
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning. CoRR abs/2310.15533 (2023) - [i32]Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang:
Adversarial Examples Are Not Real Features. CoRR abs/2310.18936 (2023) - [i31]Yuanze Li, Haolin Wang, Shihao Yuan, Ming Liu, Debin Zhao, Yiwen Guo, Chen Xu, Guangming Shi, Wangmeng Zuo:
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection. CoRR abs/2310.19070 (2023) - [i30]Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen:
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. CoRR abs/2311.01323 (2023) - [i29]Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo:
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. CoRR abs/2312.15901 (2023) - [i28]Wan Xu, Tianyu Huang, Tianyu Qu, Guanglei Yang, Yiwen Guo, Wangmeng Zuo:
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models. CoRR abs/2312.17051 (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) - [c18]Jiyu Chen, Yiwen Guo, Hao Chen, Neil Gong:
Membership Inference Attack in Face of Data Transformations. CNS 2022: 299-307 - [c17]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 - [c16]Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang:
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS 2022 - [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
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last updated on 2024-09-21 02:36 CEST by the dblp team
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