Yuhong Guo

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 89

Top Venues

Publications

Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. AISTATS (2024)
Qing En, Yuhong Guo
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation. CoRR (2024)
Marzi Heidari, Hanping Zhang, Yuhong Guo
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning. CoRR (2024)
Hao Yan, Yuhong Guo
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model. CoRR (2024)
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
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR (2024)
Yan Yan, Yuhong Guo
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. AAAI (2024)
Qing En, Yuhong Guo
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. AISTATS (2024)
Marzi Heidari, Hanping Zhang, Yuhong Guo
Reinforcement Learning-Guided Semi-Supervised Learning. CoRR (2024)
Qing En, Yuhong Guo
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. CoRR (2024)
Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo
Improving Word Embedding Using Variational Dropout. FLAIRS (2023)
Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
Object Detection in 20 Years: A Survey. Proc. IEEE 111 (3) (2023)
Yan Yan, Yuhong Guo
Mutual Partial Label Learning with Competitive Label Noise. ICLR (2023)
Taoseef Ishtiak, Qing En, Yuhong Guo
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars. CVPR (2023)
Ning Yang, Zhitao Zhang, Junrui Zhang, Yuhong Guo, Xizhen Yang, Guangduo Yu, Xuqian Bai, Junying Chen, Yinwen Chen, Liangsheng Shi, Xianwen Li
Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index. Comput. Electron. Agric. 214 (2023)
Xuejun Han, Yuhong Guo
Evolving Dictionary Representation for Few-shot Class-incremental Learning. CoRR (2023)
Yan Yan, Yuhong Guo
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment. ICLR (2023)
Abdullah Alchihabi, Yuhong Guo
Learning Robust Graph Neural Networks with Limited Supervision. AISTATS (2023)
Xuejun Han, Yuhong Guo
Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. ECAI (2023)
Abdullah Alchihabi, Marzi Heidari, Yuhong Guo
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. CoRR (2023)
Abdullah Alchihabi, Qing En, Yuhong Guo
Efficient Low-Rank GNN Defense Against Structural Attacks. ICKG (2023)
Abdullah Alchihabi, Yuhong Guo
GDM: Dual Mixup for Graph Classification with Limited Supervision. ECML/PKDD (3) (2023)
Abdullah Alchihabi, Qing En, Yuhong Guo
Efficient Low-Rank GNN Defense Against Structural Attacks. CoRR (2023)
Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. CoRR (2023)
Abdullah Alchihabi, Yuhong Guo
GDM: Dual Mixup for Graph Classification with Limited Supervision. CoRR (2023)
Qing En, Yuhong Guo
Exemplar Learning for Medical Image Segmentation. CoRR (2022)
Hanping Zhang, Yuhong Guo
Safe Reinforcement Learning with Contrastive Risk Prediction. CoRR (2022)
Qing En, Yuhong Guo
Exemplar Learning for Medical Image Segmentation. BMVC (2022)
Hao Yan, Yuhong Guo
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. CoRR (2022)
Hao Yan, Yuhong Guo
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. BMVC (2022)
Chao Cheng, Yuhong Guo, Jiuhe Wang, Hongtian Chen, Junjie Shao
A Unified BRB-Based Framework for Real-Time Health Status Prediction in High-Speed Trains. IEEE Trans. Veh. Technol. 71 (9) (2022)
Qing En, Yuhong Guo
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. CoRR (2022)
Xuejun Han, Yuhong Guo
Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation. BMVC (2022)
Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. KDD (2021)
Wentao Cui, Yuhong Guo
Parameterless Transductive Feature Re-representation for Few-Shot Learning. ICML (2021)
Yan Yan, Yuhong Guo
Adversarial Partial Multi-Label Learning with Label Disambiguation. AAAI (2021)
Yan Yan, Yuhong Guo
Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. IJCAI (2021)
Pengli Lu, Chen Dong, Yuhong Guo
A novel method based on node correlation to evaluate the important nodes in complex networks. CoRR (2021)
Yan Hao, Yuhong Guo, Chunsheng Yang
Source-free Unsupervised Domain Adaptation with Surrogate Data Generation. BMVC (2021)
Hanping Zhang, Yuhong Guo
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation. CoRR (2021)
Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. BMVC (2021)
Chunsheng Yang, Yuhong Guo, Yubin Yang, Xiaohua Yang
Toward Lifetime Learning-based Predictive. CSCWD (2021)
Abdullah Alchihabi, Yuhong Guo
Dual GNNs: Graph Neural Network Learning with Limited Supervision. CoRR (2021)
Xuejun Han, Yuhong Guo
Continual Learning with Dual Regularizations. ECML/PKDD (1) (2021)
Xuejun Han, Yuhong Guo
Contrastive Continual Learning with Feature Propagation. CoRR (2021)
Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye
A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning. CoRR (2020)
Zengmao Wang, Bo Du, Yuhong Guo
Domain Adaptation With Neural Embedding Matching. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Vasileios Lioutas, Yuhong Guo
Time-aware Large Kernel Convolutions. CoRR (2020)
Yan Yan, Yuhong Guo
Partial Label Learning with Batch Label Correction. AAAI (2020)
Yaser Alwatter, Yuhong Guo
Inverse Visual Question Answering with Multi-Level Attentions. ACML (2020)
Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification. CoRR (2020)
Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye
Domain Adaptation with Incomplete Target Domains. CoRR (2020)
Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
Mutual Learning Network for Multi-Source Domain Adaptation. CoRR (2020)
Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao
LogDet Metric-Based Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Zhen Zhao, Yuhong Guo, Jieping Ye
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. ECCV Workshops (1) (2020)
Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
Adaptive Object Detection with Dual Multi-Label Prediction. CoRR (2020)
Kevin Hua, Yuhong Guo
Unsupervised Domain Adaptation with Progressive Domain Augmentation. CoRR (2020)
Zhen Zhao, Bingyu Liu, Yuhong Guo, Jieping Ye
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data. CoRR (2020)
Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
Adaptive Object Detection with Dual Multi-label Prediction. ECCV (28) (2020)
Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. CoRR (2020)
Vasileios Lioutas, Yuhong Guo
Time-aware Large Kernel Convolutions. ICML (2020)
Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans
Brain status modeling with non-negative projective dictionary learning. NeuroImage 206 (2020)
Zhen Zhao, Yuhong Guo, Jieping Ye
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. CoRR (2020)
Yuan Wu, Yuhong Guo
Dual Adversarial Co-Learning for Multi-Domain Text Classification. AAAI (2020)
Yan Yan, Yuhong Guo
Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise. CoRR (2020)
Meng Ye, Yuhong Guo
Progressive Ensemble Networks for Zero-Shot Recognition. CVPR (2019)
Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye
Object Detection in 20 Years: A Survey. CoRR (2019)
Yan Yan, Yuhong Guo
Adversarial Partial Multi-Label Learning. CoRR (2019)
Yaser Alwatter, Yuhong Guo
Inverse Visual Question Answering with Multi-Level Attentions. CoRR (2019)
He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng
Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis. IEEE Trans. Medical Imaging 38 (1) (2019)
Xinyuan Lu, Yuhong Guo
Learning to Generate Questions with Adaptive Copying Neural Networks. CoRR (2019)
Yuan Wu, Yuhong Guo
Dual Adversarial Co-Learning for Multi-Domain Text Classification. CoRR (2019)
Meng Ye, Yuhong Guo
Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection. ICIP (2019)
Mingli Zhang, Yuhong Guo, Caiming Zhang, Jean-Baptiste Poline, Alan C. Evans
Modeling and Analysis Brain Development via Discriminative Dictionary Learning. MLMIR@MICCAI (2019)
Meng Ye, Yuhong Guo
Self-Training Ensemble Networks for Zero-Shot Image Recognition. CoRR (2018)
Meng Ye, Yuhong Guo
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection. CoRR (2018)
Meng Ye, Yuhong Guo
Deep Triplet Ranking Networks for One-Shot Recognition. CoRR (2018)
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
Visual Relationship Detection With Deep Structural Ranking. AAAI (2018)
Zengmao Wang, Yuhong Guo, Bo Du
Matrix completion with Preference Ranking for Top-N Recommendation. IJCAI (2018)
Chen Shen, Yuhong Guo
Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. ACML (2018)
Mingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra S. Khundrakpam, Alan C. Evans
Brain Status Prediction with Non-negative Projective Dictionary Learning. MLMI@MICCAI (2018)
Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
Incomplete Attribute Learning with auxiliary labels. IJCAI (2017)
Yuhong Guo
Convex Co-Embedding for Matrix Completion with Predictive Side Information. AAAI (2017)
Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang
Effective Query Grouping Strategy in Clouds. J. Comput. Sci. Technol. 32 (6) (2017)
Yuhua Guo, Xiaohan Liao, Huanyin Yue, Yan Hao, Yuhong Guo
Efficient stripmap SAR RAW data generation accounting for trajectory deviation and antenna pointing errors at a nonzero squint angle. IGARSS (2017)
Feipeng Zhao, Yuhong Guo
Learning Discriminative Recommendation Systems with Side Information. IJCAI (2017)
Meng Ye, Yuhong Guo
Zero-Shot Classification with Discriminative Semantic Representation Learning. CVPR (2017)
Meng Ye, Yuhong Guo
Labelless Scene Classification with Semantic Matching. BMVC (2017)
Feipeng Zhao, Yuhong Guo
Improving Top-N Recommendation with Heterogeneous Loss. IJCAI (2016)
Feipeng Zhao, Min Xiao, Yuhong Guo
Predictive Collaborative Filtering with Side Information. IJCAI (2016)
Xin Li, Feipeng Zhao, Yuhong Guo
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. AISTATS (2015)
Xin Li, Yuhong Guo, Dale Schuurmans
Semi-Supervised Zero-Shot Classification with Label Representation Learning. ICCV (2015)
Min Xiao, Yuhong Guo
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation. ACL (2) (2015)
Xin Li, Yuhong Guo
Max-Margin Zero-Shot Learning for Multi-class Classification. AISTATS (2015)
Feipeng Zhao, Yuhong Guo
Semi-Supervised Multi-Label Learning with Incomplete Labels. IJCAI (2015)
Min Xiao, Yuhong Guo
Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
Xin Li, Yuhong Guo
Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation. IJCAI (2015)
Min Xiao, Yuhong Guo
Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing. CoNLL (2015)
Min Xiao, Yuhong Guo
Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation. ECML/PKDD (2) (2015)
Xin Li, Feipeng Zhao, Yuhong Guo
Multi-label Image Classification with A Probabilistic Label Enhancement Model. UAI (2014)
Min Xiao, Yuhong Guo
Semi-Supervised Matrix Completion for Cross-Lingual Text Classification. AAAI (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuhong Guo