Yuhong Guo

According to our database, Yuhong Guo authored at least 144 papers between 2005 and 2024.

Collaborative distances:

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

2024

LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management.

Yi Xiong, Hao Wu, Changxu Shao, Ziqing Wang, Rui Zhang, Yuhong Guo, Junping Zhao, Ke Zhang, Zhenxuan Pan

CoRR, 2024

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving.

Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng

CoRR, 2024

Reinforcement Learning-Guided Semi-Supervised Learning.

Marzi Heidari, Hanping Zhang, Yuhong Guo

CoRR, 2024

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning.

Marzi Heidari, Hanping Zhang, Yuhong Guo

CoRR, 2024

Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model.

Hao Yan, Yuhong Guo

CoRR, 2024

AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation.

Qing En, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Local and Global Flatness for Federated Domain Generalization.

Hao Yan, Yuhong Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification.

Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation.

Qing En, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization.

Yan Yan, Yuhong Guo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index.

Ning Yang, Zhitao Zhang, Junrui Zhang, Yuhong Guo, Xizhen Yang, Guangduo Yu, Xuqian Bai, Junying Chen, Yinwen Chen, Liangsheng Shi, Xianwen Li

Comput. Electron. Agric., November, 2023

Object Detection in 20 Years: A Survey.

Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye

Proc. IEEE, March, 2023

Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning.

Abdullah Alchihabi, Marzi Heidari, Yuhong Guo

CoRR, 2023

GDM: Dual Mixup for Graph Classification with Limited Supervision.

Abdullah Alchihabi, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment.

Yan Yan, Yuhong Guo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mutual Partial Label Learning with Competitive Label Noise.

Yan Yan, Yuhong Guo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Low-Rank GNN Defense Against Structural Attacks.

Abdullah Alchihabi, Qing En, Yuhong Guo

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Improving Word Embedding Using Variational Dropout.

Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Evolving Dictionary Representation for Few-Shot Class-Incremental Learning.

Xuejun Han, Yuhong Guo

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars.

Taoseef Ishtiak, Qing En, Yuhong Guo

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

Learning Robust Graph Neural Networks with Limited Supervision.

Abdullah Alchihabi, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Unified BRB-Based Framework for Real-Time Health Status Prediction in High-Speed Trains.

Chao Cheng, Yuhong Guo, Jiuhe Wang, Hongtian Chen, Junjie Shao

IEEE Trans. Veh. Technol., 2022

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

Qing En, Yuhong Guo

CoRR, 2022

Safe Reinforcement Learning with Contrastive Risk Prediction.

Hanping Zhang, Yuhong Guo

CoRR, 2022

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

Hao Yan, Yuhong Guo

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation.

Xuejun Han, Yuhong Guo

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Exemplar Learning for Medical Image Segmentation.

Qing En, Yuhong Guo

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Contrastive Continual Learning with Feature Propagation.

Xuejun Han, Yuhong Guo

CoRR, 2021

Dual GNNs: Graph Neural Network Learning with Limited Supervision.

Abdullah Alchihabi, Yuhong Guo

CoRR, 2021

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

Hanping Zhang, Yuhong Guo

CoRR, 2021

A novel method based on node correlation to evaluate the important nodes in complex networks.

Pengli Lu, Chen Dong, Yuhong Guo

CoRR, 2021

Continual Learning with Dual Regularizations.

Xuejun Han, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

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

Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-level Generative Models for Partial Label Learning with Non-random Label Noise.

Yan Yan, Yuhong Guo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Parameterless Transductive Feature Re-representation for Few-Shot Learning.

Wentao Cui, Yuhong Guo

Proceedings of the 38th International Conference on Machine Learning, 2021

Toward Lifetime Learning-based Predictive.

Chunsheng Yang, Yuhong Guo, Yubin Yang, Xiaohua Yang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

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

Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Source-free Unsupervised Domain Adaptation with Surrogate Data Generation.

Yan Hao, Yuhong Guo, Chunsheng Yang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Adversarial Partial Multi-Label Learning with Label Disambiguation.

Yan Yan, Yuhong Guo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Domain Adaptation With Neural Embedding Matching.

Zengmao Wang, Bo Du, Yuhong Guo

IEEE Trans. Neural Networks Learn. Syst., 2020

LogDet Metric-Based Domain Adaptation.

Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

Brain status modeling with non-negative projective dictionary learning.

Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans

NeuroImage, 2020

Domain Adaptation with Incomplete Target Domains.

Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye

CoRR, 2020

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

Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye

CoRR, 2020

Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data.

Zhen Zhao, Bingyu Liu, Yuhong Guo, Jieping Ye

CoRR, 2020

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

Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye

CoRR, 2020

Unsupervised Domain Adaptation with Progressive Domain Augmentation.

Kevin Hua, Yuhong Guo

CoRR, 2020

Mutual Learning Network for Multi-Source Domain Adaptation.

Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

CoRR, 2020

Time-aware Large Kernel Convolutions.

Vasileios Lioutas, Yuhong Guo

Proceedings of the 37th International Conference on Machine Learning, 2020

Bi-Dimensional Feature Alignment for Cross-Domain Object Detection.

Zhen Zhao, Yuhong Guo, Jieping Ye

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Object Detection with Dual Multi-label Prediction.

Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

Proceedings of the Computer Vision - ECCV 2020, 2020

Inverse Visual Question Answering with Multi-Level Attentions.

Yaser Alwatter, Yuhong Guo

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Partial Label Learning with Batch Label Correction.

Yan Yan, Yuhong Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dual Adversarial Co-Learning for Multi-Domain Text Classification.

Yuan Wu, Yuhong Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis.

He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng

IEEE Trans. Medical Imaging, 2019

Learning to Generate Questions with Adaptive Copying Neural Networks.

Xinyuan Lu, Yuhong Guo

CoRR, 2019

Adversarial Partial Multi-Label Learning.

Yan Yan, Yuhong Guo

CoRR, 2019

Object Detection in 20 Years: A Survey.

Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye

CoRR, 2019

Modeling and Analysis Brain Development via Discriminative Dictionary Learning.

Mingli Zhang, Yuhong Guo, Caiming Zhang, Jean-Baptiste Poline, Alan C. Evans

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

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

Meng Ye, Yuhong Guo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Progressive Ensemble Networks for Zero-Shot Recognition.

Meng Ye, Yuhong Guo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Self-Training Ensemble Networks for Zero-Shot Image Recognition.

Meng Ye, Yuhong Guo

CoRR, 2018

Deep Triplet Ranking Networks for One-Shot Recognition.

Meng Ye, Yuhong Guo

CoRR, 2018

Brain Status Prediction with Non-negative Projective Dictionary Learning.

Mingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra S. Khundrakpam, Alan C. Evans

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Matrix completion with Preference Ranking for Top-N Recommendation.

Zengmao Wang, Yuhong Guo, Bo Du

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation.

Chen Shen, Yuhong Guo

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Visual Relationship Detection With Deep Structural Ranking.

Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Effective Query Grouping Strategy in Clouds.

Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang

J. Comput. Sci. Technol., 2017

Learning Discriminative Recommendation Systems with Side Information.

Feipeng Zhao, Yuhong Guo

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incomplete Attribute Learning with auxiliary labels.

Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Efficient 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

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Zero-Shot Classification with Discriminative Semantic Representation Learning.

Meng Ye, Yuhong Guo

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

Labelless Scene Classification with Semantic Matching.

Meng Ye, Yuhong Guo

Proceedings of the British Machine Vision Conference 2017, 2017

Convex Co-Embedding for Matrix Completion with Predictive Side Information.

Yuhong Guo

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Predictive Collaborative Filtering with Side Information.

Feipeng Zhao, Min Xiao, Yuhong Guo

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Improving Top-N Recommendation with Heterogeneous Loss.

Feipeng Zhao, Yuhong Guo

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching.

Min Xiao, Yuhong Guo

IEEE Trans. Pattern Anal. Mach. Intell., 2015

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

Min Xiao, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Semi-Supervised Multi-Label Learning with Incomplete Labels.

Feipeng Zhao, Yuhong Guo

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation.

Xin Li, Yuhong Guo

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semi-Supervised Zero-Shot Classification with Label Representation Learning.

Xin Li, Yuhong Guo, Dale Schuurmans

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing.

Min Xiao, Yuhong Guo

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels.

Xin Li, Feipeng Zhao, Yuhong Guo

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

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

Xin Li, Yuhong Guo

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation.

Min Xiao, Yuhong Guo

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Learning Representations for Weakly Supervised Natural Language Processing Tasks.

Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates

Comput. Linguistics, 2014

Multi-label Image Classification with A Probabilistic Label Enhancement Model.

Xin Li, Feipeng Zhao, Yuhong Guo

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Bi-directional Representation Learning for Multi-label Classification.

Xin Li, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Latent Semantic Representation Learning for Scene Classification.

Xin Li, Yuhong Guo

Proceedings of the 31th International Conference on Machine Learning, 2014

Multi-level Adaptive Active Learning for Scene Classification.

Xin Li, Yuhong Guo

Proceedings of the Computer Vision - ECCV 2014, 2014

Distributed Word Representation Learning for Cross-Lingual Dependency Parsing.

Min Xiao, Yuhong Guo

Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Semi-Supervised Matrix Completion for Cross-Lingual Text Classification.

Min Xiao, Yuhong Guo

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Convex Co-embedding.

Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Mixing-attack-proof Randomized Embedding Audio Watermarking System.

Yuhong Guo, Qingsheng Yuan, Xuemin Zhao, Jian Liu, Yonghong Yan

J. Comput., 2013

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

Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vucetic

BMC Bioinform., 2013

Multi-label Classification with Output Kernels.

Yuhong Guo, Dale Schuurmans

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Novel Two-Step Method for Cross Language Representation Learning.

Min Xiao, Yuhong Guo

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Robust Transfer Principal Component Analysis with Rank Constraints.

Yuhong Guo

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Active Learning with Multi-Label SVM Classification.

Xin Li, Yuhong Guo

Proceedings of the IJCAI 2013, 2013

Probabilistic Multi-Label Classification with Sparse Feature Learning.

Yuhong Guo, Wei Xue

Proceedings of the IJCAI 2013, 2013

Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model.

Min Xiao, Yuhong Guo

Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering.

Min Xiao, Feipeng Zhao, Yuhong Guo

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semi-Supervised Representation Learning for Cross-Lingual Text Classification.

Min Xiao, Yuhong Guo

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Adaptive Active Learning for Image Classification.

Xin Li, Yuhong Guo

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Online Active Learning for Cost Sensitive Domain Adaptation.

Min Xiao, Yuhong Guo

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

Convex Subspace Representation Learning from Multi-View Data.

Yuhong Guo

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Max-Margin Ratio Machine.

Suicheng Gu, Yuhong Guo

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Logarithmic Adaptive Quantization Projection for Audio Watermarking.

Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan, Qiang Fu

IEICE Trans. Inf. Syst., 2012

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

Yuhong Guo, Dale Schuurmans

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

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

Yuhong Guo, Min Xiao

Proceedings of the 29th International Conference on Machine Learning, 2012

Transductive Representation Learning for Cross-Lingual Text Classification.

Yuhong Guo, Min Xiao

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Personalized Tweet Ranking Based on AHP: A Case Study of Micro-blogging Message Ranking in T.Sina.

Yuhong Guo, Li Kang, Tie Shi

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

Optimized large vocabulary WFST speech recognition system.

Yuhong Guo, Ta Li, Yujing Si, Jielin Pan, Yonghong Yan

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

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

Min Xiao, Yuhong Guo, Alexander Yates

Proceedings of the COLING 2012, 2012

Multi-View AdaBoost for Multilingual Subjectivity Analysis.

Min Xiao, Yuhong Guo

Proceedings of the COLING 2012, 2012

Dynamic Grouping Strategy in Cloud Computing.

Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

An Object Co-occurrence Assisted Hierarchical Model for Scene Understanding.

Xin Li, Yuhong Guo

Proceedings of the British Machine Vision Conference, 2012

Semi-Supervised Kernel Matching for Domain Adaptation.

Min Xiao, Yuhong Guo

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Learning SVM Classifiers with Indefinite Kernels.

Suicheng Gu, Yuhong Guo

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

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

Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic

Stat. Anal. Data Min., 2011

Multi-Label Classification Using Conditional Dependency Networks.

Yuhong Guo, Suicheng Gu

Proceedings of the IJCAI 2011, 2011

A Spread Spectrum Audio Watermarking System with High Perceptual Quality.

Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan

Proceedings of the Third International Conference on Communications and Mobile Computing, 2011

Making Many People Happy: Greedy Solutions for Content Distribution.

Yunsheng Wang, Yuhong Guo, Jie Wu

Proceedings of the International Conference on Parallel Processing, 2011

Adaptive Large Margin Training for Multilabel Classification.

Yuhong Guo, Dale Schuurmans

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Quantization Index Modulation audio watermarking system using a psychoacoustic model.

Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan

Proceedings of the 8th International Conference on Information, 2011

2010

Credit card customer analysis based on panel data clustering.

Guangli Nie, Yibing Chen, Lingling Zhang, Yuhong Guo

Proceedings of the International Conference on Computational Science, 2010

Active Instance Sampling via Matrix Partition.

Yuhong Guo

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Regression Learning with Multiple Noisy Oracles.

Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic

Proceedings of the ECAI 2010, 2010

Prediction of Attributes and Links in Temporal Social Networks.

Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic

Proceedings of the ECAI 2010, 2010

2009

A Reformulation of Support Vector Machines for General Confidence Functions.

Yuhong Guo, Dale Schuurmans

Proceedings of the Advances in Machine Learning, 2009

Max-margin Multiple-Instance Learning via Semidefinite Programming.

Yuhong Guo

Proceedings of the Advances in Machine Learning, 2009

2008

Supervised Exponential Family Principal Component Analysis via Convex Optimization.

Yuhong Guo

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

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

Yuhong Guo, Dale Schuurmans

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007

Learning Gene Regulatory Networks via Globally Regularized Risk Minimization.

Yuhong Guo, Dale Schuurmans

Proceedings of the Comparative Genomics, RECOMB 2007 International Workshop, 2007

Convex Relaxations of Latent Variable Training.

Yuhong Guo, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Discriminative Batch Mode Active Learning.

Yuhong Guo, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Optimistic Active-Learning Using Mutual Information.

Yuhong Guo, Russell Greiner

Proceedings of the IJCAI 2007, 2007

2006

Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering.

Yuhong Guo, Dale Schuurmans

Proceedings of the UAI '06, 2006

Triple-driven data modeling methodology in data warehousing: a case study.

Yuhong Guo, Shiwei Tang, Yunhai Tong, Dongqing Yang

Proceedings of the DOLAP 2006, 2006

A FP-Tree-Based Method for Inverse Frequent Set Mining.

Yuhong Guo, Yunhai Tong, Shiwei Tang, Dongqing Yang

Proceedings of the Flexible and Efficient Information Handling, 2006

Metric-Based Approaches for Semi-Supervised Regression and Classification.

Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo

Proceedings of the Semi-Supervised Learning, 2006

2005

Maximum Margin Bayesian Networks.

Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans

Proceedings of the UAI '05, 2005

Learning Coordination Classifiers.

Yuhong Guo, Russell Greiner, Dale Schuurmans

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Discriminative Model Selection for Belief Net Structures.

Yuhong Guo, Russell Greiner

Proceedings of the Proceedings, 2005