Yiwen Guo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 92

Top Topics

Metric Learning

Linear Discriminant

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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 (2024)
Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang
Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. ICASSP (2024)
Jiongliang Lin, Yiwen Guo, Hao Chen
Intrusion Detection at Scale with the Assistance of a Command-line Language Model. CoRR (2024)
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 (2024)
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 (2024)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Improved Generation of Adversarial Examples Against Safety-aligned LLMs. CoRR (2024)
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 (2024)
Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue
Toward Certified Robustness of Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
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) (2024)
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 (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Squeeze Training for Adversarial Robustness. ICLR (2023)
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) (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. NeurIPS (2023)
Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang
CFA: Class-wise Calibrated Fair Adversarial Training. CoRR (2023)
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 (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. ICLR (2023)
Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
Adversarial Examples Are Not Real Features. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Improving Adversarial Transferability via Intermediate-level Perturbation Decay. NeurIPS (2023)
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)
Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen
Code Representation Pre-training with Complements from Program Executions. CoRR (2023)
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 (2023)
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)
Weimin Xiong, Yiwen Guo, Hao Chen
The Program Testing Ability of Large Language Models for Code. CoRR (2023)
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 (2023)
Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
Adversarial Examples Are Not Real Features. NeurIPS (2023)
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)
Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen
Understanding Programs by Exploiting (Fuzzing) Test Cases. CoRR (2023)
Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Improving Adversarial Transferability by Intermediate-level Perturbation Decay. CoRR (2023)
Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen
Understanding Programs by Exploiting (Fuzzing) Test Cases. ACL (Findings) (2023)
Minheng Ni, Yabo Zhang, Kailai Feng, Xiaoming Li, Yiwen Guo, Wangmeng Zuo
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models. CoRR (2023)
Qizhang Li, Yiwen Guo, Xiaochen Yang, Wangmeng Zuo, Hao Chen
Improving Transferability of Adversarial Examples via Bayesian Attacks. CoRR (2023)
Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang
CFA: Class-Wise Calibrated Fair Adversarial Training. CVPR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Collaborative Adversarial Training. CoRR (2022)
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)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS (2022)
Yiwen Guo, Changshui Zhang
Recent Advances in Large Margin Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR (2022)
Zhi Wang, Yiwen Guo, Wangmeng Zuo
Deepfake Forensics via an Adversarial Game. IEEE Trans. Image Process. 31 (2022)
Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen
An Intermediate-level Attack Framework on The Basis of Linear Regression. CoRR (2022)
Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo
On Steering Multi-Annotations per Sample for Multi-Task Learning. CoRR (2022)
Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo
Texts as Images in Prompt Tuning for Multi-Label Image Recognition. CoRR (2022)
Jiyu Chen, Yiwen Guo, Hao Chen, Neil Gong
Membership Inference Attack in Face of Data Transformations. CNS (2022)
Zixiu Wang, Yiwen Guo, Hu Ding
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems. NeurIPS (2021)
Zixiu Wang, Yiwen Guo, Hu Ding
Robust Coreset for Continuous-and-Bounded Learning (with Outliers). CoRR (2021)
Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar
Discovering regions of anomalous spatial co-locations. Int. J. Geogr. Inf. Sci. 35 (5) (2021)
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) (2021)
Jiyu Chen, Yiwen Guo, Qianjun Zheng, Hao Chen
Protect privacy of deep classification networks by exploiting their generative power. Mach. Learn. 110 (4) (2021)
Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang
A Theoretical View of Linear Backpropagation and Its Convergence. CoRR (2021)
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 (2021)
Ziang Yan, Yiwen Guo, Changshui Zhang
Adversarial Margin Maximization Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Zhi Wang, Yiwen Guo, Wangmeng Zuo
Deepfake Forensics via An Adversarial Game. CoRR (2021)
Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR (2021)
Yiwen Guo, Changshui Zhang
Recent Advances in Large Margin Learning. CoRR (2021)
Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding. CoRR (2021)
Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang
On Connections Between Regularizations for Improving DNN Robustness. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang
Sparse Coding with Gated Learned ISTA. ICLR (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Practical No-box Adversarial Attacks against DNNs. CoRR (2020)
Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang
Pointly-supervised scene parsing with uncertainty mixture. Comput. Vis. Image Underst. 200 (2020)
Kailun Wu, Yiwen Guo, Changshui Zhang
Compressing Deep Neural Networks With Sparse Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Practical No-box Adversarial Attacks against DNNs. NeurIPS (2020)
Yiwen Guo, Qizhang Li, Hao Chen
Backpropagating Linearly Improves Transferability of Adversarial Examples. NeurIPS (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Yet Another Intermediate-Level Attack. ECCV (16) (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Yet Another Intermediate-Level Attack. CoRR (2020)
Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue
Towards Certified Robustness of Metric Learning. CoRR (2020)
Yiwen Guo, Qizhang Li, Hao Chen
Backpropagating Linearly Improves Transferability of Adversarial Examples. CoRR (2020)
Rui Zhu, Yiwen Guo, Jing-Hao Xue
Adjusting the imbalance ratio by the dimensionality of imbalanced data. Pattern Recognit. Lett. 133 (2020)
Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang
On Connections between Regularizations for Improving DNN Robustness. CoRR (2020)
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 (2020)
Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. ECML/PKDD (2) (2020)
Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen
Deep Likelihood Network for Image Restoration with Multiple Degradations. CoRR (2019)
Ziang Yan, Yiwen Guo, Changshui Zhang
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. CoRR (2019)
Ziang Yan, Yiwen Guo, Changshui Zhang
Adversarial Margin Maximization Networks. CoRR (2019)
Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan
DATA: Differentiable ArchiTecture Approximation. NeurIPS (2019)
Yiwen Guo, Ziang Yan, Changshui Zhang
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. NeurIPS (2019)
Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Differentiable Architecture Search with Ensemble Gumbel-Softmax. CoRR (2019)
Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Deep Discriminative Clustering Analysis. CoRR (2019)
Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen
Sparse DNNs with Improved Adversarial Robustness. NeurIPS (2018)
Ziang Yan, Yiwen Guo, Changshui Zhang
Deep Defense: Training DNNs with Improved Adversarial Robustness. NeurIPS (2018)
Ziang Yan, Yiwen Guo, Changshui Zhang
DeepDefense: Training Deep Neural Networks with Improved Robustness. CoRR (2018)
Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen
Sparse DNNs with Improved Adversarial Robustness. CoRR (2018)
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen
Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. ICLR (Poster) (2017)
Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen
Network Sketching: Exploiting Binary Structure in Deep CNNs. CoRR (2017)
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 (2017)
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights. CoRR (2017)
Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen
Network Sketching: Exploiting Binary Structure in Deep CNNs. CVPR (2017)
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)
Yiwen Guo, Anbang Yao, Yurong Chen
Dynamic Network Surgery for Efficient DNNs. NIPS (2016)
Yiwen Guo, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue
Sufficient Canonical Correlation Analysis. IEEE Trans. Image Process. 25 (6) (2016)
Yiwen Guo, Anbang Yao, Yurong Chen
Dynamic Network Surgery for Efficient DNNs. CoRR (2016)
Yiwen Guo, Xiaoqing Ding, Jing-Hao Xue
MiLDA: A graph embedding approach to multi-view face recognition. Neurocomputing 151 (2015)
Yiwen Guo, Xiaoqing Ding, Chi Fang, Jing-Hao Xue
Fisher's linear discriminant embedded metric learning. Neurocomputing 143 (2014)