Guo, Yuhong

77 publications

CVPR 2025 A Unified Framework for Heterogeneous Semi-Supervised Learning Marzi Heidari, Abdullah Alchihabi, Hao Yan, Yuhong Guo

AAAI 2025 Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling Marzi Heidari, Yuhong Guo

NeurIPS 2025 Learning to Clean: Reinforcement Learning for Noisy Label Correction Marzi Heidari, Hanping Zhang, Yuhong Guo

AISTATS 2025 Zero-Shot Action Generalization with Limited Observations Abdullah Alchihabi, Hanping Zhang, Yuhong Guo

ECML-PKDD 2024 AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation Qing En, Yuhong Guo

AISTATS 2024 Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo

AISTATS 2024 Cross-Model Mutual Learning for Exemplar-Based Medical Image Segmentation Qing En, Yuhong Guo

AAAI 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization Yan Yan, Yuhong Guo

ECCV 2024 Local and Global Flatness for Federated Domain Generalization Hao Yan, Yuhong Guo

NeurIPS 2024 Reinforcement Learning Guided Semi-Supervised Learning Marzi Heidari, Hanping Zhang, Yuhong Guo

ICMLW 2024 Safe Reinforcement Learning with Contrastive Risk Prediction Hanping Zhang, Yuhong Guo

ICMLW 2024 Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations Hanping Zhang, Yuhong Guo

CHIL 2024 Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-Based Contrastive Learning Qing En, Yuhong Guo

ICMLW 2023 Context-Aware Self-Adaptation for Domain Generalization Hao Yan, Yuhong Guo

CVPR 2023 Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars Taoseef Ishtiak, Qing En, Yuhong Guo

ECML-PKDD 2023 GDM: Dual Mixup for Graph Classification with Limited Supervision Abdullah Alchihabi, Yuhong Guo

AISTATS 2023 Learning Robust Graph Neural Networks with Limited Supervision Abdullah Alchihabi, Yuhong Guo

ICLR 2023 Mutual Partial Label Learning with Competitive Label Noise Yan Yan, Yuhong Guo

ICLR 2023 Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment Yan Yan, Yuhong Guo

ICMLW 2022 Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang, Yuhong Guo

AAAI 2021 Adversarial Partial Multi-Label Learning with Label Disambiguation Yan Yan, Yuhong Guo

NeurIPSW 2021 Augmented Self-Labeling for Source-Free Unsupervised Domain Adaptation Hao Yan, Yuhong Guo, Chunsheng Yang

ECML-PKDD 2021 Continual Learning with Dual Regularizations Xuejun Han, Yuhong Guo

IJCAI 2021 Multi-Level Generative Models for Partial Label Learning with Non-Random Label Noise Yan Yan, Yuhong Guo

ICML 2021 Parameterless Transductive Feature Re-Representation for Few-Shot Learning Wentao Cui, Yuhong Guo

ECCV 2020 Adaptive Object Detection with Dual Multi-Label Prediction Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

ICLR 2020 Adversarial Paritial Multi-Label Learning Yan Yan, Yuhong Guo

ECCVW 2020 Bi-Dimensional Feature Alignment for Cross-Domain Object Detection Zhen Zhao, Yuhong Guo, Jieping Ye

AAAI 2020 Dual Adversarial Co-Learning for Multi-Domain Text Classification Yuan Wu, Yuhong Guo

ACML 2020 Inverse Visual Question Answering with Multi-Level Attentions Yaser Alwattar, Yuhong Guo

AAAI 2020 Partial Label Learning with Batch Label Correction Yan Yan, Yuhong Guo

ICML 2020 Time-Aware Large Kernel Convolutions Vasileios Lioutas, Yuhong Guo

IJCAI 2018 Matrix Completion with Preference Ranking for Top-N Recommendation Zengmao Wang, Yuhong Guo, Bo Du

ACML 2018 Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation Chen Shen, Yuhong Guo

AAAI 2018 Visual Relationship Detection with Deep Structural Ranking Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

AAAI 2017 Convex Co-Embedding for Matrix Completion with Predictive Side Information Yuhong Guo

IJCAI 2017 Incomplete Attribute Learning with Auxiliary Labels Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

IJCAI 2017 Learning Discriminative Recommendation Systems with Side Information Feipeng Zhao, Yuhong Guo

CVPR 2017 Zero-Shot Classification with Discriminative Semantic Representation Learning Meng Ye, Yuhong Guo

IJCAI 2016 Improving Top-N Recommendation with Heterogeneous Loss Feipeng Zhao, Yuhong Guo

IJCAI 2016 Predictive Collaborative Filtering with Side Information Feipeng Zhao, Min Xiao, Yuhong Guo

AISTATS 2015 Conditional Restricted Boltzmann Machines for Multi-Label Learning with Incomplete Labels Xin Li, Feipeng Zhao, Yuhong Guo

AISTATS 2015 Max-Margin Zero-Shot Learning for Multi-Class Classification Xin Li, Yuhong Guo

IJCAI 2015 Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation Xin Li, Yuhong Guo

IJCAI 2015 Semi-Supervised Multi-Label Learning with Incomplete Labels Feipeng Zhao, Yuhong Guo

ECML-PKDD 2015 Semi-Supervised Subspace Co-Projection for Multi-Class Heterogeneous Domain Adaptation Min Xiao, Yuhong Guo

ICCV 2015 Semi-Supervised Zero-Shot Classification with Label Representation Learning Xin Li, Yuhong Guo, Dale Schuurmans

ECML-PKDD 2014 Bi-Directional Representation Learning for Multi-Label Classification Xin Li, Yuhong Guo

AAAI 2014 Convex Co-Embedding Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans

ICML 2014 Latent Semantic Representation Learning for Scene Classification Xin Li, Yuhong Guo

UAI 2014 Multi-Label Image Classification with a Probabilistic Label Enhancement Model Xin Li, Feipeng Zhao, Yuhong Guo

ECCV 2014 Multi-Level Adaptive Active Learning for Scene Classification Xin Li, Yuhong Guo

AAAI 2014 Semi-Supervised Matrix Completion for Cross-Lingual Text Classification Min Xiao, Yuhong Guo

NeurIPS 2013 A Novel Two-Step Method for Cross Language Representation Learning Min Xiao, Yuhong Guo

IJCAI 2013 Active Learning with Multi-Label SVM Classification Xin Li, Yuhong Guo

CVPR 2013 Adaptive Active Learning for Image Classification Xin Li, Yuhong Guo

AAAI 2013 Convex Subspace Representation Learning from Multi-View Data Yuhong Guo

ICML 2013 Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model Min Xiao, Yuhong Guo

ECML-PKDD 2013 Multi-Label Classification with Output Kernels Yuhong Guo, Dale Schuurmans

IJCAI 2013 Probabilistic Multi-Label Classification with Sparse Feature Learning Yuhong Guo, Wei Xue

NeurIPS 2013 Robust Transfer Principal Component Analysis with Rank Constraints Yuhong Guo

ICML 2012 Cross Language Text Classification via Subspace Co-Regularized Multi-View Learning Yuhong Guo, Min Xiao

AAAI 2012 Learning SVM Classifiers with Indefinite Kernels Suicheng Gu, Yuhong Guo

ACML 2012 Max-Margin Ratio Machine Suicheng Gu, Yuhong Guo

AAAI 2012 Semi-Supervised Kernel Matching for Domain Adaptation Min Xiao, Yuhong Guo

ECML-PKDD 2012 Semi-Supervised Multi-Label Classification - A Simultaneous Large-Margin, Subspace Learning Approach Yuhong Guo, Dale Schuurmans

AAAI 2011 Adaptive Large Margin Training for Multilabel Classification Yuhong Guo, Dale Schuurmans

IJCAI 2011 Multi-Label Classification Using Conditional Dependency Networks Yuhong Guo, Suicheng Gu

NeurIPS 2010 Active Instance Sampling via Matrix Partition Yuhong Guo

NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization Yuhong Guo

NeurIPS 2007 Convex Relaxations of Latent Variable Training Yuhong Guo, Dale Schuurmans

NeurIPS 2007 Discriminative Batch Mode Active Learning Yuhong Guo, Dale Schuurmans

IJCAI 2007 Optimistic Active-Learning Using Mutual Information Yuhong Guo, Russell Greiner

UAI 2006 Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo, Dale Schuurmans

AAAI 2005 Discriminative Model Selection for Belief Net Structures Yuhong Guo, Russell Greiner

IJCAI 2005 Learning Coordination Classifiers Yuhong Guo, Russell Greiner, Dale Schuurmans

UAI 2005 Maximum Margin Bayesian Networks Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans