Yuhong Guo

发表

A large-scale evaluation of computational protein function prediction

Daniel W. A. Buchan, Thomas A. Hopf, Mark N. Wass, 2013, Nature Methods.

Discriminative Batch Mode Active Learning

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2007, NIPS.

Optimistic Active-Learning Using Mutual Information

Russell Greiner, Yuhong Guo, R. Greiner, 2007, IJCAI.

Learning bayesian networks from data: structure optimization and parameter estimation

Yuhong Guo, 2007 .

Multi-View AdaBoost for Multilingual Subjectivity Analysis

Min Xiao, Yuhong Guo, Yuhong Guo, 2012, COLING.

Efficient global optimization for exponential family PCA and low-rank matrix factorization

Dale Schuurmans, Yuhong Guo, 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis

Li Cheng, He Zhao, Huiqi Li, 2019, IEEE Transactions on Medical Imaging.

Cross Language Text Classification via Multiview Subspace Learning

Yuhong Guo, Min Xiao, 2012 .

Discriminant Model Selection for Belief Net Structures

R. Greiner, Yuhong Guo, 2022 .

Adversarial Paritial Multi-label Learning

Yan Yan, Yuhong Guo, Yuhong Guo, 2019 .

Dual GNNs: Graph Neural Network Learning with Limited Supervision pdf

Yuhong Guo, Abdullah Alchihabi, Yuhong Guo, 2021, ArXiv.

Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation

Yuhong Guo, Qing En, 2022, ArXiv.

Learning Representations for Weakly Supervised Natural Language Processing Tasks

Yi Yang, Doug Downey, Alexander Yates, 2014, CL.

Multi-Label Classification Using Conditional Dependency Networks

Yuhong Guo, Suicheng Gu, Yuhong Guo, 2011, IJCAI.

Convex Co-Embedding for Matrix Completion with Predictive Side Information

Yuhong Guo, Yuhong Guo, 2017, AAAI.

Online Active Learning for Cost Sensitive Domain Adaptation

Min Xiao, Yuhong Guo, Yuhong Guo, 2013, CoNLL.

KERNEL-BASED GENE REGULATORY NETWORK INFERENCE

Dale Schuurmans, Yuhong Guo, Guohui Lin, 2010 .

Learning Gene Regulatory Networks via Globally Regularized Risk Minimization

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2007, RECOMB-CG.

MS-kNN: protein function prediction by integrating multiple data sources

Slobodan Vucetic, Nemanja Djuric, Yuhong Guo, 2013, BMC Bioinformatics.

Source-free Unsupervised Domain Adaptation with Surrogate Data Generation

Yuhong Guo, Chunsheng Yang, Yan Hao, 2021, BMVC.

Time-aware Large Kernel Convolutions

Yuhong Guo, Vasileios Lioutas, 2020, ICML.

Object Detection in 20 Years: A Survey pdf

Jieping Ye, Zhenwei Shi, Zhengxia Zou, 2019, Proceedings of the IEEE.

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation pdf

Yuhong Guo, Hanping Zhang, Yuhong Guo, 2021, ArXiv.

Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation

Min Xiao, Yuhong Guo, Yuhong Guo, 2015, ECML/PKDD.

Metric-Based Approaches for Semi-Supervised Regression and Classification

Finnegan Southey, Dana F. Wilkinson, Yuhong Guo, 2006, Semi-Supervised Learning.

Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching

Min Xiao, Yuhong Guo, Yuhong Guo, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-Supervised Kernel Matching for Domain Adaptation

Min Xiao, Yuhong Guo, Yuhong Guo, 2012, AAAI.

Continual Learning with Dual Regularizations

Yuhong Guo, Xuejun Han, Yuhong Guo, 2021, ECML/PKDD.

Partial Label Learning with Batch Label Correction

Yan Yan, Yuhong Guo, Yuhong Guo, 2020, AAAI.

Active Instance Sampling via Matrix Partition

Yuhong Guo, Yuhong Guo, 2010, NIPS.

Visual Relationship Detection With Deep Structural Ranking

Xilin Chen, Hong Chang, Yuhong Guo, 2018, AAAI.

Semi-Supervised Multi-Label Learning with Incomplete Labels

Yuhong Guo, Feipeng Zhao, Yuhong Guo, 2015, IJCAI.

Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2012, ECML/PKDD.

Adaptive Active Learning for Image Classification

Xin Li, Yuhong Guo, Yuhong Guo, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Inverse Visual Question Answering with Multi-Level Attentions

Yuhong Guo, Yaser Alwatter, 2019, ACML.

Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection

Yuhong Guo, Bingyu Liu, Jian Tang, 2021, KDD.

Deep Triplet Ranking Networks for One-Shot Recognition pdf

Yuhong Guo, Meng Ye, Yuhong Guo, 2018, ArXiv.

Active Learning with Multi-Label SVM Classification

Xin Li, Yuhong Guo, Yuhong Guo, 2013, IJCAI.

Multi-level Adaptive Active Learning for Scene Classification

Xin Li, Yuhong Guo, Yuhong Guo, 2014, ECCV.

Adaptive Large Margin Training for Multilabel Classification

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2011, AAAI.

Multi-label Image Classification with A Probabilistic Label Enhancement Model

Xin Li, Yuhong Guo, Feipeng Zhao, 2014, UAI.

Adaptive Object Detection with Dual Multi-Label Prediction pdf

Haifeng Shen, Jieping Ye, Yuhong Guo, 2020, ECCV.

A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning pdf

Jieping Ye, Yuhong Guo, Jianan Jiang, 2020, ArXiv.

Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification pdf

Jieping Ye, Yuhong Guo, Jianan Jiang, 2020, ArXiv.

Zero-Shot Classification with Discriminative Semantic Representation Learning

Yuhong Guo, Meng Ye, Yuhong Guo, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Discriminative Recommendation Systems with Side Information

Yuhong Guo, Feipeng Zhao, Yuhong Guo, 2017, IJCAI.

Learning Coordination Classifiers

Dale Schuurmans, Russell Greiner, Yuhong Guo, 2005, IJCAI.

A Novel Two-Step Method for Cross Language Representation Learning

Min Xiao, Yuhong Guo, Yuhong Guo, 2013, NIPS.

Semi-Supervised Representation Learning for Cross-Lingual Text Classification

Min Xiao, Yuhong Guo, Yuhong Guo, 2013, EMNLP.

Transductive Representation Learning for Cross-Lingual Text Classification

Min Xiao, Yuhong Guo, Yuhong Guo, 2012, 2012 IEEE 12th International Conference on Data Mining.

Cross Language Text Classification via Subspace Co-regularized Multi-view Learning

Min Xiao, Yuhong Guo, Yuhong Guo, 2012, ICML.

Progressive Ensemble Networks for Zero-Shot Recognition

Yuhong Guo, Meng Ye, Yuhong Guo, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Transfer Principal Component Analysis with Rank Constraints

Yuhong Guo, Yuhong Guo, 2013, NIPS.

Supervised Exponential Family Principal Component Analysis via Convex Optimization

Yuhong Guo, Yuhong Guo, 2008, NIPS.

Convex Subspace Representation Learning from Multi-View Data

Yuhong Guo, Yuhong Guo, 2013, AAAI.

Evolving Dictionary Representation for Few-shot Class-incremental Learning

Yuhong Guo, Xuejun Han, 2023, ECAI.

Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation

Yuhong Guo, Hao Yan, 2022, BMVC.

Domain Adaptation With Neural Embedding Matching

Yuhong Guo, Bo Du, Zengmao Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Parameterless Transductive Feature Re-representation for Few-Shot Learning

Yuhong Guo, Wentao Cui, Yuhong Guo, 2021, ICML.

Dual Adversarial Co-Learning for Multi-Domain Text Classification

Yuhong Guo, Yuan Wu, Yuhong Guo, 2019, AAAI.

Bi-Dimensional Feature Alignment for Cross-Domain Object Detection

Jieping Ye, Yuhong Guo, Zhen Zhao, 2020, ECCV Workshops.

Exemplar Learning for Medical Image Segmentation

Yuhong Guo, Qing En, 2022, BMVC.

Contrastive Continual Learning with Feature Propagation pdf

Yuhong Guo, Xuejun Han, Yuhong Guo, 2021, ArXiv.

Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise pdf

Yan Yan, Yuhong Guo, Yuhong Guo, 2020, IJCAI.

Prediction of Attributes and Links in Temporal Social Networks

Zoran Obradovic, Yuhong Guo, Vladimir Ouzienko, 2010, ECAI.

A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks

Zoran Obradovic, Yuhong Guo, Vladimir Ouzienko, 2011, Stat. Anal. Data Min..

Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection

Yuhong Guo, Meng Ye, Yuhong Guo, 2018, 2019 IEEE International Conference on Image Processing (ICIP).

Mutual Learning Network for Multi-Source Domain Adaptation pdf

Haifeng Shen, Jieping Ye, Yuhong Guo, 2020, ArXiv.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Probabilistic Multi-Label Classification with Sparse Feature Learning

Wei Xue, Yuhong Guo, Yuhong Guo, 2022 .

Adversarial Partial Multi-Label Learning pdf

Yan Yan, Yuhong Guo, Yuhong Guo, 2019, AAAI.

Adversarial Partial Multi-Label Learning with Label Disambiguation

Yuhong Guo, Yan Yan, Yuhong Guo, 2021, AAAI.

Improving Word Embedding Using Variational Dropout

Yuhong Guo, D. Inkpen, Xuejun Han, 2023, FLAIRS.

Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars

Yuhong Guo, Taoseef Ishtiak, Qing En, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Semi-Supervised Zero-Shot Classification with Label Representation Learning

Dale Schuurmans, Xin Li, Yuhong Guo, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Brain status modeling with non-negative projective dictionary learning

Gregory Kiar, Christian Desrosiers, Yuhong Guo, 2020, NeuroImage.

Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment

Yuhong Guo, Yan Yan, 2023, ICLR.

Brain Status Prediction with Non-negative Projective Dictionary Learning

Caiming Zhang, Christian Desrosiers, Yuhong Guo, 2018, MLMI@MICCAI.

PARTIAL LABEL UNSUPERVISED DOMAIN ADAPTA-

Yuhong Guo, Yan Yan, 2023 .

Multi-label Classification with Output Kernels

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2013, ECML/PKDD.

Maximum Margin Bayesian Networks

Dale Schuurmans, Dana F. Wilkinson, Yuhong Guo, 2005, UAI.

Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks

Min Xiao, Alexander Yates, Yuhong Guo, 2012, COLING.

Unsupervised Domain Adaptation with Progressive Domain Augmentation pdf

Yuhong Guo, Kevin Hua, Yuhong Guo, 2020, ArXiv.

Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation

Chen Shen, Yuhong Guo, Yuhong Guo, 2018, ACML.

Modeling and Analysis Brain Development via Discriminative Dictionary Learning

Caiming Zhang, Yuhong Guo, Mingli Zhang, 2019, MLMIR@MICCAI.

Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation pdf

Weihong Deng, Jieping Ye, Yuhong Guo, 2020, BMVC.

Max-Margin Zero-Shot Learning for Multi-class Classification

Xin Li, Yuhong Guo, Yuhong Guo, 2015, AISTATS.

Convex Co-embedding

Dale Schuurmans, Yuhong Guo, Farzaneh Mirzazadeh, 2014, AAAI.

Semi-Supervised Matrix Completion for Cross-Lingual Text Classification

Min Xiao, Yuhong Guo, Yuhong Guo, 2014, AAAI.

Discriminative Model Selection for Belief Net Structures

Russell Greiner, Yuhong Guo, R. Greiner, 2005, AAAI.

Incomplete Attribute Learning with auxiliary labels

Xilin Chen, Hong Chang, Yuhong Guo, 2017, IJCAI.

Distributed Word Representation Learning for Cross-Lingual Dependency Parsing

Min Xiao, Yuhong Guo, Yuhong Guo, 2014, CoNLL.

Matrix completion with Preference Ranking for Top-N Recommendation

Bo Du, Yuhong Guo, Zengmao Wang, 2018, IJCAI.

Mutual Partial Label Learning with Competitive Label Noise

Yuhong Guo, Yan Yan, 2023, ICLR.

Learning Robust Graph Neural Networks with Limited Supervision

Yuhong Guo, Abdullah Alchihabi, 2023, AISTATS.

Regression Learning with Multiple Noisy Oracles

Zoran Obradovic, Kosta Ristovski, Yuhong Guo, 2010, ECAI.