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Yuhong Guo

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

89

Venues

26

Active years

2005–2025

Best venue rank

A*

Where they publish

Papers

89 indexed papers, newest first.

YearVenueTitleAuthors
2025AAAIBi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling.Marzi Heidari, Yuhong Guo
2025AISTATSZero-Shot Action Generalization with Limited Observations.Abdullah Alchihabi, Hanping Zhang, Yuhong Guo
2025CVPRA Unified Framework for Heterogeneous Semi-supervised Learning.Marzi Heidari, Abdullah Alchihabi, Hao Yan, Yuhong Guo
2025ECAISkill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations.Hanping Zhang, Yuhong Guo
2024AAAIFederated Partial Label Learning with Local-Adaptive Augmentation and Regularization.Yan Yan, Yuhong Guo
2024AISTATSCross-model Mutual Learning for Exemplar-based Medical Image Segmentation.Qing En, Yuhong Guo
2024AISTATSAdaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification.Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo
2024BMVCAdaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning.Abdullah Alchihabi, Marzi Heidari, Yuhong Guo
2024BMVCAnnotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation.Qing En, Yuhong Guo
2024ECCVLocal and Global Flatness for Federated Domain Generalization.Hao Yan, Yuhong Guo
2023AISTATSLearning Robust Graph Neural Networks with Limited Supervision.Abdullah Alchihabi, Yuhong Guo
2023CVPRExemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars.Taoseef Ishtiak, Qing En, Yuhong Guo
2023ECAIEvolving Dictionary Representation for Few-Shot Class-Incremental Learning.Xuejun Han, Yuhong Guo
2023FlAIRSImproving Word Embedding Using Variational Dropout.Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo
2023ICLRMutual Partial Label Learning with Competitive Label Noise.Yan Yan, Yuhong Guo
2023ICLRPartial Label Unsupervised Domain Adaptation with Class-Prototype Alignment.Yan Yan, Yuhong Guo
2022BMVCExemplar Learning for Medical Image Segmentation.Qing En, Yuhong Guo
2022BMVCOvercoming Catastrophic Forgetting for Continual Learning via Feature Propagation.Xuejun Han, Yuhong Guo
2022BMVCDual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation.Hao Yan, Yuhong Guo
2021AAAIAdversarial Partial Multi-Label Learning with Label Disambiguation.Yan Yan, Yuhong Guo
2021BMVCSource-free Unsupervised Domain Adaptation with Surrogate Data Generation.Yan Hao, Yuhong Guo, Chunsheng Yang
2021BMVCSelective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation.Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
2021CSCWDToward Lifetime Learning-based Predictive.Chunsheng Yang, Yuhong Guo, Yubin Yang, Xiaohua Yang
2021ICMLParameterless Transductive Feature Re-representation for Few-Shot Learning.Wentao Cui, Yuhong Guo
2021IJCAIMulti-level Generative Models for Partial Label Learning with Non-random Label Noise.Yan Yan, Yuhong Guo
2021KDDMulti-view Correlation based Black-box Adversarial Attack for 3D Object Detection.Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng
2020AAAIDual Adversarial Co-Learning for Multi-Domain Text Classification.Yuan Wu, Yuhong Guo
2020AAAIPartial Label Learning with Batch Label Correction.Yan Yan, Yuhong Guo
2020ACMLInverse Visual Question Answering with Multi-Level Attentions.Yaser Alwatter, Yuhong Guo
2020ECCVAdaptive Object Detection with Dual Multi-label Prediction.Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020ECCVBi-Dimensional Feature Alignment for Cross-Domain Object Detection.Zhen Zhao, Yuhong Guo, Jieping Ye
2020ICMLTime-aware Large Kernel Convolutions.Vasileios Lioutas, Yuhong Guo
2019CVPRProgressive Ensemble Networks for Zero-Shot Recognition.Meng Ye, Yuhong Guo
2019ICIPMulti-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection.Meng Ye, Yuhong Guo
2019MICCAIModeling and Analysis Brain Development via Discriminative Dictionary Learning.Mingli Zhang, Yuhong Guo, Caiming Zhang, Jean-Baptiste Poline, Alan C. Evans
2018AAAIVisual Relationship Detection With Deep Structural Ranking.Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2018ACMLUnsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation.Chen Shen, Yuhong Guo
2018IJCAIMatrix completion with Preference Ranking for Top-N Recommendation.Zengmao Wang, Yuhong Guo, Bo Du
2018MICCAIBrain Status Prediction with Non-negative Projective Dictionary Learning.Mingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra S. Khundrakpam, Alan C. Evans
2017AAAIConvex Co-Embedding for Matrix Completion with Predictive Side Information.Yuhong Guo
2017BMVCLabelless Scene Classification with Semantic Matching.Meng Ye, Yuhong Guo
2017CVPRZero-Shot Classification with Discriminative Semantic Representation Learning.Meng Ye, Yuhong Guo
2017IJCAIIncomplete Attribute Learning with auxiliary labels.Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2017IJCAILearning Discriminative Recommendation Systems with Side Information.Feipeng Zhao, Yuhong Guo
2017IGARSSEfficient stripmap SAR RAW data generation accounting for trajectory deviation and antenna pointing errors at a nonzero squint angle.Yuhua Guo, Xiaohan Liao, Huanyin Yue, Yan Hao, Yuhong Guo
2016IJCAIImproving Top-N Recommendation with Heterogeneous Loss.Feipeng Zhao, Yuhong Guo
2016IJCAIPredictive Collaborative Filtering with Side Information.Feipeng Zhao, Min Xiao, Yuhong Guo
2015ACLLearning Hidden Markov Models with Distributed State Representations for Domain Adaptation.Min Xiao, Yuhong Guo
2015AISTATSMax-Margin Zero-Shot Learning for Multi-class Classification.Xin Li, Yuhong Guo
2015AISTATSConditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels.Xin Li, Feipeng Zhao, Yuhong Guo
2015CoNLLAnnotation Projection-based Representation Learning for Cross-lingual Dependency Parsing.Min Xiao, Yuhong Guo
2015ICCVSemi-Supervised Zero-Shot Classification with Label Representation Learning.Xin Li, Yuhong Guo, Dale Schuurmans
2015IJCAIMulti-Label Classification with Feature-Aware Non-Linear Label Space Transformation.Xin Li, Yuhong Guo
2015IJCAISemi-Supervised Multi-Label Learning with Incomplete Labels.Feipeng Zhao, Yuhong Guo
2014AAAIConvex Co-embedding.Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans
2014AAAISemi-Supervised Matrix Completion for Cross-Lingual Text Classification.Min Xiao, Yuhong Guo
2014CoNLLDistributed Word Representation Learning for Cross-Lingual Dependency Parsing.Min Xiao, Yuhong Guo
2014ECCVMulti-level Adaptive Active Learning for Scene Classification.Xin Li, Yuhong Guo
2014ICMLLatent Semantic Representation Learning for Scene Classification.Xin Li, Yuhong Guo
2014UAIMulti-label Image Classification with A Probabilistic Label Enhancement Model.Xin Li, Feipeng Zhao, Yuhong Guo
2013AAAIConvex Subspace Representation Learning from Multi-View Data.Yuhong Guo
2013CoNLLOnline Active Learning for Cost Sensitive Domain Adaptation.Min Xiao, Yuhong Guo
2013CVPRAdaptive Active Learning for Image Classification.Xin Li, Yuhong Guo
2013EMNLPSemi-Supervised Representation Learning for Cross-Lingual Text Classification.Min Xiao, Yuhong Guo
2013EMNLPLearning Latent Word Representations for Domain Adaptation using Supervised Word Clustering.Min Xiao, Feipeng Zhao, Yuhong Guo
2013ICMLDomain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model.Min Xiao, Yuhong Guo
2013IJCAIProbabilistic Multi-Label Classification with Sparse Feature Learning.Yuhong Guo, Wei Xue
2013IJCAIActive Learning with Multi-Label SVM Classification.Xin Li, Yuhong Guo
2012AAAILearning SVM Classifiers with Indefinite Kernels.Suicheng Gu, Yuhong Guo
2012AAAISemi-Supervised Kernel Matching for Domain Adaptation.Min Xiao, Yuhong Guo
2012BMVCAn Object Co-occurrence Assisted Hierarchical Model for Scene Understanding.Xin Li, Yuhong Guo
2012COLINGMulti-View AdaBoost for Multilingual Subjectivity Analysis.Min Xiao, Yuhong Guo
2012COLINGSemi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks.Min Xiao, Yuhong Guo, Alexander Yates
2012ICDMTransductive Representation Learning for Cross-Lingual Text Classification.Yuhong Guo, Min Xiao
2012ICMLCross Language Text Classification via Subspace Co-regularized Multi-view Learning .Yuhong Guo, Min Xiao
2011AAAIAdaptive Large Margin Training for Multilabel Classification.Yuhong Guo, Dale Schuurmans
2011ICPPMaking Many People Happy: Greedy Solutions for Content Distribution.Yunsheng Wang, Yuhong Guo, Jie Wu
2011IJCAIMulti-Label Classification Using Conditional Dependency Networks.Yuhong Guo, Suicheng Gu
2010ECAIPrediction of Attributes and Links in Temporal Social Networks.Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2010ECAIRegression Learning with Multiple Noisy Oracles.Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2009ACMLMax-margin Multiple-Instance Learning via Semidefinite Programming.Yuhong Guo
2009ACMLA Reformulation of Support Vector Machines for General Confidence Functions.Yuhong Guo, Dale Schuurmans
2007IJCAIOptimistic Active-Learning Using Mutual Information.Yuhong Guo, Russell Greiner
2007RECOMBLearning Gene Regulatory Networks via Globally Regularized Risk Minimization.Yuhong Guo, Dale Schuurmans
2006DOLAPTriple-driven data modeling methodology in data warehousing: a case study.Yuhong Guo, Shiwei Tang, Yunhai Tong, Dongqing Yang
2006UAIConvex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering.Yuhong Guo, Dale Schuurmans
2005AAAIDiscriminative Model Selection for Belief Net Structures.Yuhong Guo, Russell Greiner
2005IJCAILearning Coordination Classifiers.Yuhong Guo, Russell Greiner, Dale Schuurmans
2005UAIMaximum Margin Bayesian Networks.Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans