Fisher's linear discriminant embedded metric learning. - Yiwen Guo; Xiaoqing Ding; Chi Fang; Jing-Hao Xue (Neurocomputing, 2014)

MiLDA: A graph embedding approach to multi-view face recognition. - Yiwen Guo; Xiaoqing Ding; Jing-Hao Xue (Neurocomputing, 2015)

Dynamic Network Surgery for Efficient DNNs. - Yiwen Guo; Anbang Yao; Yurong Chen 001 (NIPS, 2016)

Sufficient Canonical Correlation Analysis. - Yiwen Guo; Xiaoqing Ding; Changsong Liu; Jing-Hao Xue (IEEE Trans. Image Process., 2016)

Network Sketching: Exploiting Binary Structure in Deep CNNs. - Yiwen Guo; Anbang Yao; Hao Zhao 002; Yurong Chen 001 (CVPR, 2017)

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. - Hao Zhao 002; Ming Lu; Anbang Yao; Yiwen Guo; Yurong Chen 001; Li Zhang 023 (CVPR, 2017)

Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. - Aojun Zhou; Anbang Yao; Yiwen Guo; Lin Xu; Yurong Chen 001 (ICLR (Poster), 2017)

Sparse DNNs with Improved Adversarial Robustness. - Yiwen Guo; Chao Zhang; Changshui Zhang; Yurong Chen 001 (NeurIPS, 2018)

Deep Defense: Training DNNs with Improved Adversarial Robustness. - Ziang Yan; Yiwen Guo; Changshui Zhang (NeurIPS, 2018)

DeepDefense: Training Deep Neural Networks with Improved Robustness. - Ziang Yan; Yiwen Guo; Changshui Zhang (CoRR, 2018)

DATA: Differentiable ArchiTecture Approximation. - Jianlong Chang; Xinbang Zhang; Yiwen Guo; Gaofeng Meng; Shiming Xiang; Chunhong Pan (NeurIPS, 2019)

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks. - Yiwen Guo; Ziang Yan; Changshui Zhang (NeurIPS, 2019)

Deep Likelihood Network for Image Restoration with Multiple Degradations. - Yiwen Guo; Wangmeng Zuo; Changshui Zhang; Yurong Chen 001 (CoRR, 2019)

Deep Discriminative Clustering Analysis. - Jianlong Chang; Yiwen Guo; Lingfeng Wang 002; Gaofeng Meng; Shiming Xiang; Chunhong Pan (CoRR, 2019)

Differentiable Architecture Search with Ensemble Gumbel-Softmax. - Jianlong Chang; Xinbang Zhang; Yiwen Guo; Gaofeng Meng; Shiming Xiang; Chunhong Pan (CoRR, 2019)

Yet Another Intermediate-Level Attack. - Qizhang Li; Yiwen Guo; Hao Chen 003 (ECCV (16), 2020)

Sparse Coding with Gated Learned ISTA. - Kailun Wu; Yiwen Guo; Ziang Li; Changshui Zhang (ICLR, 2020)

Backpropagating Linearly Improves Transferability of Adversarial Examples. - Yiwen Guo; Qizhang Li; Hao Chen 003 (NeurIPS, 2020)

Practical No-box Adversarial Attacks against DNNs. - Qizhang Li; Yiwen Guo; Hao Chen 003 (NeurIPS, 2020)

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. - Xiaochen Yang; Mingzhi Dong; Yiwen Guo; Jing-Hao Xue (ECML/PKDD (2), 2020)

Towards Certified Robustness of Metric Learning. - Xiaochen Yang; Yiwen Guo; Mingzhi Dong; Jing-Hao Xue (CoRR, 2020)

LID 2020: The Learning from Imperfect Data Challenge Results. - Yunchao Wei; Shuai Zheng 001; Ming-Ming Cheng; Hang Zhao; Liwei Wang 001; Errui Ding; Yi Yang 001; Antonio Torralba 001; Ting Liu 012; Guolei Sun; Wenguan Wang; Luc Van Gool; et al. (CoRR, 2020)

Pointly-supervised scene parsing with uncertainty mixture. - Hao Zhao 002; Ming Lu; Anbang Yao; Yiwen Guo; Yurong Chen 001; Li Zhang 023 (Comput. Vis. Image Underst., 2020)

Adjusting the imbalance ratio by the dimensionality of imbalanced data. - Rui Zhu 006; Yiwen Guo; Jing-Hao Xue (Pattern Recognit. Lett., 2020)

Compressing Deep Neural Networks With Sparse Matrix Factorization. - Kailun Wu; Yiwen Guo; Changshui Zhang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. - Ziang Yan; Yiwen Guo; Jian Liang 002; Changshui Zhang (ICLR, 2021)

Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems. - Zixiu Wang; Yiwen Guo; Hu Ding (NeurIPS, 2021)

Robust Coreset for Continuous-and-Bounded Learning (with Outliers). - Zixiu Wang; Yiwen Guo; Hu Ding (CoRR, 2021)

Discovering regions of anomalous spatial co-locations. - Jiannan Cai; Min Deng; Yiwen Guo; Yiqun Xie; Shashi Shekhar 001 (Int. J. Geogr. Inf. Sci., 2021)

Protect privacy of deep classification networks by exploiting their generative power. - Jiyu Chen; Yiwen Guo; Qianjun Zheng; Hao Chen 003 (Mach. Learn., 2021)

On Connections Between Regularizations for Improving DNN Robustness. - Yiwen Guo; Long Chen; Yurong Chen 001; Changshui Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Adversarial Margin Maximization Networks. - Ziang Yan; Yiwen Guo; Changshui Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Deep Likelihood Network for Image Restoration With Multiple Degradation Levels. - Yiwen Guo; Ming Lu; Wangmeng Zuo; Changshui Zhang; Yurong Chen 001 (IEEE Trans. Image Process., 2021)

Membership Inference Attack in Face of Data Transformations. - Jiyu Chen; Yiwen Guo; Hao Chen 003; Neil Gong 001 (CNS, 2022)

Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations. - Bulou Liu; Bing Bai; Weibang Xie; Yiwen Guo; Hao Chen 003 (KDD, 2022)

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. - Yichuan Mo; Dongxian Wu; Yifei Wang 001; Yiwen Guo; Yisen Wang 001 (NeurIPS, 2022)

On Steering Multi-Annotations per Sample for Multi-Task Learning. - Yuanze Li; Yiwen Guo; Qizhang Li; Hongzhi Zhang; Wangmeng Zuo (CoRR, 2022)

Collaborative Adversarial Training. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (CoRR, 2022)

Recent Advances in Large Margin Learning. - Yiwen Guo; Changshui Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deepfake Forensics via an Adversarial Game. - Zhi Wang; Yiwen Guo; Wangmeng Zuo (IEEE Trans. Image Process., 2022)

Understanding Programs by Exploiting (Fuzzing) Test Cases. - Jianyu Zhao; Yuyang Rong; Yiwen Guo; Yifeng He; Hao Chen 003 (ACL (Findings), 2023)

Texts as Images in Prompt Tuning for Multi-Label Image Recognition. - Zixian Guo; Bowen Dong; Zhilong Ji; Jinfeng Bai; Yiwen Guo; Wangmeng Zuo (CVPR, 2023)

CFA: Class-Wise Calibrated Fair Adversarial Training. - Zeming Wei; Yifei Wang 001; Yiwen Guo; Yisen Wang 001 (CVPR, 2023)

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. - Zixian Guo; Yuxiang Wei 001; Ming Liu 018; Zhilong Ji; Jinfeng Bai; Yiwen Guo; Wangmeng Zuo (EMNLP (Findings), 2023)

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. - Fangfei Lin; Bing Bai; Yiwen Guo; Hao Chen 003; Yazhou Ren 001; Zenglin Xu (ICCV, 2023)

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (ICLR, 2023)

Squeeze Training for Adversarial Robustness. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (ICLR, 2023)

Improving Adversarial Transferability via Intermediate-level Perturbation Decay. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (NeurIPS, 2023)

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (NeurIPS, 2023)

Adversarial Examples Are Not Real Features. - Ang Li; Yifei Wang 001; Yiwen Guo; Yisen Wang 001 (NeurIPS, 2023)

Improving Adversarial Transferability by Intermediate-level Perturbation Decay. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (CoRR, 2023)

Improving Transferability of Adversarial Examples via Bayesian Attacks. - Qizhang Li; Yiwen Guo; Xiaochen Yang; Wangmeng Zuo; Hao Chen 003 (CoRR, 2023)

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models. - Minheng Ni; Yabo Zhang; Kailai Feng; Xiaoming Li 002; 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 018; Debin Zhao; Yiwen Guo; Chen Xu; Guangming Shi; Wangmeng Zuo (CoRR, 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)

An Intermediate-Level Attack Framework on the Basis of Linear Regression. - Yiwen Guo; Qizhang Li; Wangmeng Zuo; Hao Chen 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Intrusion Detection at Scale with the Assistance of a Command-line Language Model. - Jiongliang Lin; Yiwen Guo; Hao Chen 003 (DSN-S, 2024)

Code Representation Pre-training with Complements from Program Executions. - Jiabo Huang; Jianyu Zhao; Yuyang Rong; Yiwen Guo; Yifeng He; Hao Chen 003 (EMNLP (Industry Track), 2024)

The Program Testing Ability of Large Language Models for Code. - Weimin Xiong; Yiwen Guo; Hao Chen 003 (EMNLP (Industry Track), 2024)

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. - Xin Zhou 012; Ping Nie; Yiwen Guo; Haojie Wei; Zhanqiu Zhang; Pasquale Minervini; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

Learned ISTA with Error-Based Thresholding for Adaptive Sparse Coding. - Ziang Li; Kailun Wu; Yiwen Guo; Changshui Zhang (ICASSP, 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 003 (ISSTA, 2024)

Improved Generation of Adversarial Examples Against Safety-aligned LLMs. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (NeurIPS, 2024)

Two Optimizers Are Better Than One: LLM Catalyst for Enhancing Gradient-Based Optimization. - Zixian Guo; Ming Liu 018; Zhilong Ji; Jinfeng Bai; Yiwen Guo; Wangmeng Zuo (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)

Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation. - Qizhang Li; Xiaochen Yang; Wangmeng Zuo; Yiwen Guo (CoRR, 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)

Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning. - Qing Miao; Xiaohe Wu; Chao Xu 003; Yanli Ji; Wangmeng Zuo; Yiwen Guo; Zhaopeng Meng (Knowl. Based Syst., 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 003; Yanli Ji; Wangmeng Zuo; Yiwen Guo; Zhaopeng Meng (Knowl. Based Syst., 2024)

Toward Certified Robustness of Distance Metric Learning. - Xiaochen Yang; Yiwen Guo; Mingzhi Dong; Jing-Hao Xue (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Theoretical View of Linear Backpropagation and its Convergence. - Ziang Li; Yiwen Guo; Haodi Liu; Changshui Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enabling Beam Search for Language Model-Based Text-to-Speech Synthesis. - Zehai Tu; Guangyan Zhang; Yiting Lu; Adaeze Adigwe; Simon King; Yiwen Guo (ICASSP, 2025)

Enhancing Expressive Voice Conversion with Discrete Pitch-Conditioned Flow Matching Model. - Jialong Zuo; Shengpeng Ji; Minghui Fang 002; Ziyue Jiang 001; Xize Cheng; Qian Yang 006; Wenrui Liu 003; Guangyan Zhang; Zehai Tu; Yiwen Guo; Zhou Zhao 001 (ICASSP, 2025)

DualAug: Exploiting additional heavy augmentation with OOD data rejection. - Zehao Wang; Yiwen Guo; Qizhang Li; Guanglei Yang; Wangmeng Zuo (Neurocomputing, 2025)

FILP-3D: Enhancing 3D few-shot class-incremental learning with pre-trained vision-language models. - Wan Xu; Tianyu Huang; Tianyuan Qu; Guanglei Yang; Yiwen Guo; Wangmeng Zuo (Pattern Recognit., 2025)

Enhancing visual adversarial transferability via affine transformation of intermediate-level perturbations. - Qizhang Li; Yiwen Guo; Wangmeng Zuo (Pattern Recognit. Lett., 2025)

CueTip: An Interactive and Explainable Physics-aware Pool Assistant. - Sean Memery; Kevin Denamganaï; Jiaxin Zhang; Zehai Tu; Yiwen Guo; Kartic Subr (CoRR, 2025)

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment. - Cheryl Li; Tianyuan Xu; Yiwen Guo (CoRR, 2025)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models. - Xin Zhou 012; Yiwen Guo; Ruotian Ma; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2025)

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm. - Zhuo Li; Yuhao Du; Xiaoqi Jiao; Yiwen Guo; Yuege Feng; Xiang Wan; Anningzhe Gao; Jinpeng Hu (CoRR, 2025)

Cultivating Game Sense for Yourself: Making VLMs Gaming Experts. - Wenxuan Lu; Jiangyang He; Zhanqiu Zhang; Yiwen Guo; Tianning Zang (CoRR, 2025)

Identifying and Understanding Cross-Class Features in Adversarial Training. - Zeming Wei; Yiwen Guo; Yisen Wang 001 (CoRR, 2025)

SpeechAccentLLM: A Unified Framework for Foreign Accent Conversion and Text to Speech. - Zhuangfei Cheng; Guangyan Zhang; Zehai Tu; Yangyang Song; Shuiyang Mao; Xiaoqi Jiao; Jingyu Li; Yiwen Guo; Jiasong Wu (CoRR, 2025)

Triple X: A LLM-Based Multilingual Speech Recognition System for the INTERSPEECH2025 MLC-SLM Challenge. - Miaomiao Gao; Xiaoxiao Xiang; Yiwen Guo (CoRR, 2025)

C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations. - Chengqian Ma; Wei Tao; Yiwen Guo (CoRR, 2025)