Yiwen Guo

According to our database, Yiwen Guo authored at least 77 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Theoretical View of Linear Backpropagation and its Convergence.

Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Toward Certified Robustness of Distance Metric Learning.

Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Corrigendum to "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning" [Knowledge-Based Systems 296 (2024) 111860].

Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng

Knowl. Based Syst., 2024

Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning.

Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng

Knowl. Based Syst., 2024

Multi-Task Model Merging via Adaptive Weight Disentanglement.

Feng Xiong, Runxi Cheng, Wang Chen, Zhanqiu Zhang, Yiwen Guo, Chun Yuan, Ruifeng Xu

CoRR, 2024

Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation.

Qizhang Li, Xiaochen Yang, Wangmeng Zuo, Yiwen Guo

CoRR, 2024

Recent Advances in Speech Language Models: A Survey.

Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King

CoRR, 2024

Enabling Beam Search for Language Model-Based Text-to-Speech Synthesis.

Zehai Tu, Guangyan Zhang, Yiting Lu, Adaeze Adigwe, Simon King, Yiwen Guo

CoRR, 2024

Improved Generation of Adversarial Examples Against Safety-aligned LLMs.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2024

Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization.

Zixian Guo, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo

CoRR, 2024

UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing.

Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen

CoRR, 2024

UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing.

Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding.

Ziang Li, Kailun Wu, Yiwen Guo, Changshui Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.

Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Program Testing Ability of Large Language Models for Code.

Weimin Xiong, Yiwen Guo, Hao Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Code Representation Pre-training with Complements from Program Executions.

Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Intrusion Detection at Scale with the Assistance of a Command-line Language Model.

Jiongliang Lin, Yiwen Guo, Hao Chen

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

An Intermediate-Level Attack Framework on the Basis of Linear Regression.

Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models.

Wan Xu, Tianyu Huang, Tianyu Qu, Guanglei Yang, Yiwen Guo, Wangmeng Zuo

CoRR, 2023

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection.

Yuanze Li, Haolin Wang, Shihao Yuan, Ming Liu, Debin Zhao, Yiwen Guo, Chen Xu, Guangming Shi, Wangmeng Zuo

CoRR, 2023

DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection.

Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo

CoRR, 2023

The Program Testing Ability of Large Language Models for Code.

Weimin Xiong, Yiwen Guo, Hao Chen

CoRR, 2023

Code Representation Pre-training with Complements from Program Executions.

Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen

CoRR, 2023

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models.

Minheng Ni, Yabo Zhang, Kailai Feng, Xiaoming Li, Yiwen Guo, Wangmeng Zuo

CoRR, 2023

Improving Transferability of Adversarial Examples via Bayesian Attacks.

Qizhang Li, Yiwen Guo, Xiaochen Yang, Wangmeng Zuo, Hao Chen

CoRR, 2023

Improving Adversarial Transferability by Intermediate-level Perturbation Decay.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2023

Adversarial Examples Are Not Real Features.

Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Adversarial Transferability via Intermediate-level Perturbation Decay.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Squeeze Training for Adversarial Robustness.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering.

Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation.

Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CFA: Class-Wise Calibrated Fair Adversarial Training.

Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Texts as Images in Prompt Tuning for Multi-Label Image Recognition.

Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Understanding Programs by Exploiting (Fuzzing) Test Cases.

Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Deepfake Forensics via an Adversarial Game.

Zhi Wang, Yiwen Guo, Wangmeng Zuo

IEEE Trans. Image Process., 2022

Recent Advances in Large Margin Learning.

Yiwen Guo, Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Collaborative Adversarial Training.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2022

On Steering Multi-Annotations per Sample for Multi-Task Learning.

Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo

CoRR, 2022

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.

Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations.

Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Membership Inference Attack in Face of Data Transformations.

Jiyu Chen, Yiwen Guo, Hao Chen, Neil Gong

Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

2021

Deep Likelihood Network for Image Restoration With Multiple Degradation Levels.

Yiwen Guo, Ming Lu, Wangmeng Zuo, Changshui Zhang, Yurong Chen

IEEE Trans. Image Process., 2021

DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling.

Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin, Chunhong Pan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Adversarial Margin Maximization Networks.

Ziang Yan, Yiwen Guo, Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

On Connections Between Regularizations for Improving DNN Robustness.

Yiwen Guo, Long Chen, Yurong Chen, Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Protect privacy of deep classification networks by exploiting their generative power.

Jiyu Chen, Yiwen Guo, Qianjun Zheng, Hao Chen

Mach. Learn., 2021

Discovering regions of anomalous spatial co-locations.

Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar

Int. J. Geogr. Inf. Sci., 2021

Robust Coreset for Continuous-and-Bounded Learning (with Outliers).

Zixiu Wang, Yiwen Guo, Hu Ding

CoRR, 2021

Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems.

Zixiu Wang, Yiwen Guo, Hu Ding

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.

Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Compressing Deep Neural Networks With Sparse Matrix Factorization.

Kailun Wu, Yiwen Guo, Changshui Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Adjusting the imbalance ratio by the dimensionality of imbalanced data.

Rui Zhu, Yiwen Guo, Jing-Hao Xue

Pattern Recognit. Lett., 2020

Pointly-supervised scene parsing with uncertainty mixture.

Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang

Comput. Vis. Image Underst., 2020

LID 2020: The Learning from Imperfect Data Challenge Results.

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

CoRR, 2020

Towards Certified Robustness of Metric Learning.

Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue

CoRR, 2020

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method.

Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Practical No-box Adversarial Attacks against DNNs.

Qizhang Li, Yiwen Guo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Backpropagating Linearly Improves Transferability of Adversarial Examples.

Yiwen Guo, Qizhang Li, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Coding with Gated Learned ISTA.

Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Yet Another Intermediate-Level Attack.

Qizhang Li, Yiwen Guo, Hao Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Differentiable Architecture Search with Ensemble Gumbel-Softmax.

Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan

CoRR, 2019

Deep Discriminative Clustering Analysis.

Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan

CoRR, 2019

Deep Likelihood Network for Image Restoration with Multiple Degradations.

Yiwen Guo, Wangmeng Zuo, Changshui Zhang, Yurong Chen

CoRR, 2019

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks.

Yiwen Guo, Ziang Yan, Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DATA: Differentiable ArchiTecture Approximation.

Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

DeepDefense: Training Deep Neural Networks with Improved Robustness.

Ziang Yan, Yiwen Guo, Changshui Zhang

CoRR, 2018

Deep Defense: Training DNNs with Improved Adversarial Robustness.

Ziang Yan, Yiwen Guo, Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparse DNNs with Improved Adversarial Robustness.

Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights.

Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen

Proceedings of the 5th International Conference on Learning Representations, 2017

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation.

Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Network Sketching: Exploiting Binary Structure in Deep CNNs.

Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Sufficient Canonical Correlation Analysis.

Yiwen Guo, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue

IEEE Trans. Image Process., 2016

Dynamic Network Surgery for Efficient DNNs.

Yiwen Guo, Anbang Yao, Yurong Chen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

MiLDA: A graph embedding approach to multi-view face recognition.

Yiwen Guo, Xiaoqing Ding, Jing-Hao Xue

Neurocomputing, 2015

2014

Fisher's linear discriminant embedded metric learning.

Yiwen Guo, Xiaoqing Ding, Chi Fang, Jing-Hao Xue

Neurocomputing, 2014