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Yuhong Guo

Carleton University, DiDi Chuxing

Dual GNNs: Graph Neural Network Learning with Limited Supervision


Jun 29, 2021
Abdullah Alchihabi, Yuhong Guo


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Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation


Jun 29, 2021
Hanping Zhang, Yuhong Guo


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


Dec 07, 2020
Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng


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Domain Adaptation with Incomplete Target Domains


Dec 03, 2020
Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye


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Bi-Dimensional Feature Alignment for Cross-Domain Object Detection


Nov 14, 2020
Zhen Zhao, Yuhong Guo, Jieping Ye

* ECCV20 TASK-CV Workshop 

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


Jun 09, 2020
Zhen Zhao, Bingyu Liu, Yuhong Guo, Jieping Ye


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


Jun 08, 2020
Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye


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


May 21, 2020
Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye


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


May 11, 2020
Yan Yan, Yuhong Guo


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Unsupervised Domain Adaptation with Progressive Domain Augmentation


Apr 24, 2020
Kevin Hua, Yuhong Guo


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Mutual Learning Network for Multi-Source Domain Adaptation


Mar 29, 2020
Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye


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Adaptive Object Detection with Dual Multi-Label Prediction


Mar 29, 2020
Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye


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Time-aware Large Kernel Convolutions


Feb 08, 2020
Vasileios Lioutas, Yuhong Guo

* 11 pages, 1 figure 

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Dual Adversarial Co-Learning for Multi-Domain Text Classification


Sep 18, 2019
Yuan Wu, Yuhong Guo


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Learning to Generate Questions with Adaptive Copying Neural Networks


Sep 17, 2019
Xinyuan Lu, Yuhong Guo


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Inverse Visual Question Answering with Multi-Level Attentions


Sep 17, 2019
Yaser Alwatter, Yuhong Guo


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Adversarial Partial Multi-Label Learning


Sep 15, 2019
Yan Yan, Yuhong Guo


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Object Detection in 20 Years: A Survey


May 16, 2019
Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye

* This work has been submitted to the IEEE TPAMI for possible publication 

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


Aug 07, 2018
Meng Ye, Yuhong Guo


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Self-Training Ensemble Networks for Zero-Shot Image Recognition


May 18, 2018
Meng Ye, Yuhong Guo


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Deep Triplet Ranking Networks for One-Shot Recognition


Apr 19, 2018
Meng Ye, Yuhong Guo


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Maximum Margin Bayesian Networks


Jul 04, 2012
Yuhong Guo, Dana Wilkinson, Dale Schuurmans

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Cross Language Text Classification via Subspace Co-Regularized Multi-View Learning


Jun 27, 2012
Yuhong Guo, Min Xiao

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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


Jun 27, 2012
Yuhong Guo, Dale Schuurmans

* Appears in Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI2006) 

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