Yuhong Guo - RankMe

186 papers A* 44A 22B 7C 9Misc 2Journal 70Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning. CoRR Hanping Zhang, Yuhong Guo
2026	J	`jnl`	Diffusion Modulation via Environment Mechanism Modeling for Planning. CoRR Hanping Zhang, Yuhong Guo
2025	A*	`conf`	A Unified Framework for Heterogeneous Semi-supervised Learning. CVPR Marzi Heidari, Abdullah Alchihabi, Hao Yan, Yuhong Guo
2025	J	`jnl`	A Unified Framework for Heterogeneous Semi-supervised Learning. CoRR Marzi Heidari, Abdullah Alchihabi, Hao Yan, Yuhong Guo
2025	A*	`conf`	Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling. AAAI Marzi Heidari, Yuhong Guo
2025	J	`jnl`	Context-Aware Self-Adaptation for Domain Generalization. CoRR Hao Yan, Yuhong Guo
2025	J	`jnl`	LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning. CoRR Hanping Zhang, Yuhong Guo
2025	J	`jnl`	Learning to Clean: Reinforcement Learning for Noisy Label Correction. CoRR Marzi Heidari, Hanping Zhang, Yuhong Guo
2025	J	`jnl`	Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards. CoRR Hanping Zhang, Yuhong Guo
2025	J	`jnl`	Single Domain Generalization with Adversarial Memory. CoRR Hao Yan, Marzi Heidari, Yuhong Guo
2025	J	`jnl`	Single Domain Generalization with Model-aware Parametric Batch-wise Mixup. CoRR Marzi Heidari, Yuhong Guo
2025	A	`conf`	Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations. ECAI Hanping Zhang, Yuhong Guo
2025	J	`jnl`	Skill-based Safe Reinforcement Learning with Risk Planning. CoRR Hanping Zhang, Yuhong Guo
2025	J	`jnl`	Target-Oriented Single Domain Generalization. CoRR Marzi Heidari, Yuhong Guo
2025	J	`jnl`	Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion. CoRR Abdullah Alchihabi, Yuhong Guo
2025	A	`conf`	Zero-Shot Action Generalization with Limited Observations. AISTATS Abdullah Alchihabi, Hanping Zhang, Yuhong Guo
2025	J	`jnl`	Zero-Shot Action Generalization with Limited Observations. CoRR Abdullah Alchihabi, Hanping Zhang, Yuhong Guo
2024	—	`conf`	AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation. ECML/PKDD (3) Qing En, Yuhong Guo
2024	J	`jnl`	AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation. CoRR Qing En, Yuhong Guo
2024	A	`conf`	Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. AISTATS Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo
2024	A	`conf`	Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. BMVC Abdullah Alchihabi, Marzi Heidari, Yuhong Guo
2024	A	`conf`	Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. BMVC Qing En, Yuhong Guo
2024	A	`conf`	Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. AISTATS Qing En, Yuhong Guo
2024	J	`jnl`	Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. CoRR Qing En, Yuhong Guo
2024	A*	`conf`	Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. AAAI Yan Yan, Yuhong Guo
2024	J	`jnl`	LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management. CoRR Yi Xiong, Hao Wu, Changxu Shao, Ziqing Wang, Rui Zhang, Yuhong Guo, Junping Zhao, Ke Zhang, Zhenxuan Pan
2024	J	`jnl`	Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model. CoRR Hao Yan, Yuhong Guo
2024	—	`conf`	Local and Global Flatness for Federated Domain Generalization. ECCV (83) Hao Yan, Yuhong Guo
2024	J	`jnl`	Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations. CoRR Abdullah Alchihabi, Hao Yan, Yuhong Guo
2024	J	`jnl`	Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning. CoRR Marzi Heidari, Hanping Zhang, Yuhong Guo
2024	A*	`conf`	Reinforcement Learning Guided Semi-Supervised Learning. NeurIPS Marzi Heidari, Hanping Zhang, Yuhong Guo
2024	J	`jnl`	Reinforcement Learning-Guided Semi-Supervised Learning. CoRR Marzi Heidari, Hanping Zhang, Yuhong Guo
2024	—	`conf`	Research on Exchange Rate Forecasting Based on LSTM-Transformer Fusion Model. ICAI (2) Yihan Zhao, Jiayao Xu, Sida Yang, Yuhong Guo
2024	J	`jnl`	Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations. CoRR Hanping Zhang, Yuhong Guo
2024	—	`conf`	Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-based Contrastive Learning. CHIL Qing En, Yuhong Guo
2024	J	`jnl`	vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR 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
2023	J	`jnl`	Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. CoRR Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo
2023	J	`jnl`	Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. CoRR Abdullah Alchihabi, Marzi Heidari, Yuhong Guo
2023	—	`conf`	Efficient Low-Rank GNN Defense Against Structural Attacks. ICKG Abdullah Alchihabi, Qing En, Yuhong Guo
2023	J	`jnl`	Efficient Low-Rank GNN Defense Against Structural Attacks. CoRR Abdullah Alchihabi, Qing En, Yuhong Guo
2023	A	`conf`	Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. ECAI Xuejun Han, Yuhong Guo
2023	J	`jnl`	Evolving Dictionary Representation for Few-shot Class-incremental Learning. CoRR Xuejun Han, Yuhong Guo
2023	A*	`conf`	Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars. CVPR Taoseef Ishtiak, Qing En, Yuhong Guo
2023	—	`conf`	GDM: Dual Mixup for Graph Classification with Limited Supervision. ECML/PKDD (3) Abdullah Alchihabi, Yuhong Guo
2023	J	`jnl`	GDM: Dual Mixup for Graph Classification with Limited Supervision. CoRR Abdullah Alchihabi, Yuhong Guo
2023	Misc	`conf`	Improving Word Embedding Using Variational Dropout. FLAIRS Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo
2023	J	`jnl`	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. Ning Yang, Zhitao Zhang, Junrui Zhang, Yuhong Guo, Xizhen Yang, Guangduo Yu, Xuqian Bai, Junying Chen, Yinwen Chen, Liangsheng Shi, Xianwen Li
2023	A	`conf`	Learning Robust Graph Neural Networks with Limited Supervision. AISTATS Abdullah Alchihabi, Yuhong Guo
2023	A*	`conf`	Mutual Partial Label Learning with Competitive Label Noise. ICLR Yan Yan, Yuhong Guo
2023	J	`jnl`	Object Detection in 20 Years: A Survey. Proc. IEEE Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
2023	A*	`conf`	Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment. ICLR Yan Yan, Yuhong Guo
2022	J	`jnl`	A Unified BRB-Based Framework for Real-Time Health Status Prediction in High-Speed Trains. IEEE Trans. Veh. Technol. Chao Cheng, Yuhong Guo, Jiuhe Wang, Hongtian Chen, Junjie Shao
2022	J	`jnl`	Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. CoRR Qing En, Yuhong Guo
2022	A	`conf`	Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. BMVC Hao Yan, Yuhong Guo
2022	J	`jnl`	Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. CoRR Hao Yan, Yuhong Guo
2022	A	`conf`	Exemplar Learning for Medical Image Segmentation. BMVC Qing En, Yuhong Guo
2022	J	`jnl`	Exemplar Learning for Medical Image Segmentation. CoRR Qing En, Yuhong Guo
2022	A	`conf`	Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation. BMVC Xuejun Han, Yuhong Guo
2022	J	`jnl`	Safe Reinforcement Learning with Contrastive Risk Prediction. CoRR Hanping Zhang, Yuhong Guo
2021	J	`jnl`	A novel method based on node correlation to evaluate the important nodes in complex networks. CoRR Pengli Lu, Chen Dong, Yuhong Guo
2021	A*	`conf`	Adversarial Partial Multi-Label Learning with Label Disambiguation. AAAI Yan Yan, Yuhong Guo
2021	—	`conf`	Continual Learning with Dual Regularizations. ECML/PKDD (1) Xuejun Han, Yuhong Guo
2021	J	`jnl`	Contrastive Continual Learning with Feature Propagation. CoRR Xuejun Han, Yuhong Guo
2021	J	`jnl`	Dual GNNs: Graph Neural Network Learning with Limited Supervision. CoRR Abdullah Alchihabi, Yuhong Guo
2021	J	`jnl`	Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation. CoRR Hanping Zhang, Yuhong Guo
2021	A*	`conf`	Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. IJCAI Yan Yan, Yuhong Guo
2021	A*	`conf`	Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. KDD Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng
2021	A*	`conf`	Parameterless Transductive Feature Re-representation for Few-Shot Learning. ICML Wentao Cui, Yuhong Guo
2021	A	`conf`	Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. BMVC Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
2021	A	`conf`	Source-free Unsupervised Domain Adaptation with Surrogate Data Generation. BMVC Yan Hao, Yuhong Guo, Chunsheng Yang
2021	C	`conf`	Toward Lifetime Learning-based Predictive. CSCWD Chunsheng Yang, Yuhong Guo, Yubin Yang, Xiaohua Yang
2020	J	`jnl`	A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning. CoRR Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye
2020	J	`jnl`	Adaptive Object Detection with Dual Multi-Label Prediction. CoRR Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020	—	`conf`	Adaptive Object Detection with Dual Multi-label Prediction. ECCV (28) Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020	—	`conf`	Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. ECCV Workshops (1) Zhen Zhao, Yuhong Guo, Jieping Ye
2020	J	`jnl`	Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. CoRR Zhen Zhao, Yuhong Guo, Jieping Ye
2020	J	`jnl`	Brain status modeling with non-negative projective dictionary learning. NeuroImage Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans
2020	J	`jnl`	Domain Adaptation With Neural Embedding Matching. IEEE Trans. Neural Networks Learn. Syst. Zengmao Wang, Bo Du, Yuhong Guo
2020	J	`jnl`	Domain Adaptation with Incomplete Target Domains. CoRR Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye
2020	A*	`conf`	Dual Adversarial Co-Learning for Multi-Domain Text Classification. AAAI Yuan Wu, Yuhong Guo
2020	J	`jnl`	Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data. CoRR Zhen Zhao, Bingyu Liu, Yuhong Guo, Jieping Ye
2020	J	`jnl`	Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification. CoRR Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye
2020	C	`conf`	Inverse Visual Question Answering with Multi-Level Attentions. ACML Yaser Alwatter, Yuhong Guo
2020	J	`jnl`	LogDet Metric-Based Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao
2020	J	`jnl`	Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise. CoRR Yan Yan, Yuhong Guo
2020	J	`jnl`	Mutual Learning Network for Multi-Source Domain Adaptation. CoRR Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020	A*	`conf`	Partial Label Learning with Batch Label Correction. AAAI Yan Yan, Yuhong Guo
2020	J	`jnl`	Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. CoRR Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
2020	A*	`conf`	Time-aware Large Kernel Convolutions. ICML Vasileios Lioutas, Yuhong Guo
2020	J	`jnl`	Time-aware Large Kernel Convolutions. CoRR Vasileios Lioutas, Yuhong Guo
2020	J	`jnl`	Unsupervised Domain Adaptation with Progressive Domain Augmentation. CoRR Kevin Hua, Yuhong Guo
2019	J	`jnl`	Adversarial Partial Multi-Label Learning. CoRR Yan Yan, Yuhong Guo
2019	J	`jnl`	Dual Adversarial Co-Learning for Multi-Domain Text Classification. CoRR Yuan Wu, Yuhong Guo
2019	J	`jnl`	Inverse Visual Question Answering with Multi-Level Attentions. CoRR Yaser Alwatter, Yuhong Guo
2019	J	`jnl`	Learning to Generate Questions with Adaptive Copying Neural Networks. CoRR Xinyuan Lu, Yuhong Guo
2019	—	`conf`	Modeling and Analysis Brain Development via Discriminative Dictionary Learning. MLMIR@MICCAI Mingli Zhang, Yuhong Guo, Caiming Zhang, Jean-Baptiste Poline, Alan C. Evans
2019	B	`conf`	Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection. ICIP Meng Ye, Yuhong Guo
2019	J	`jnl`	Object Detection in 20 Years: A Survey. CoRR Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye
2019	A*	`conf`	Progressive Ensemble Networks for Zero-Shot Recognition. CVPR Meng Ye, Yuhong Guo
2019	J	`jnl`	Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis. IEEE Trans. Medical Imaging He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng
2018	—	`conf`	Brain Status Prediction with Non-negative Projective Dictionary Learning. MLMI@MICCAI Mingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra S. Khundrakpam, Alan C. Evans
2018	J	`jnl`	Deep Triplet Ranking Networks for One-Shot Recognition. CoRR Meng Ye, Yuhong Guo
2018	A*	`conf`	Matrix completion with Preference Ranking for Top-N Recommendation. IJCAI Zengmao Wang, Yuhong Guo, Bo Du
2018	J	`jnl`	Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection. CoRR Meng Ye, Yuhong Guo
2018	J	`jnl`	Self-Training Ensemble Networks for Zero-Shot Image Recognition. CoRR Meng Ye, Yuhong Guo
2018	C	`conf`	Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. ACML Chen Shen, Yuhong Guo
2018	A*	`conf`	Visual Relationship Detection With Deep Structural Ranking. AAAI Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2017	A*	`conf`	Convex Co-Embedding for Matrix Completion with Predictive Side Information. AAAI Yuhong Guo
2017	J	`jnl`	Effective Query Grouping Strategy in Clouds. J. Comput. Sci. Technol. Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang
2017	C	`conf`	Efficient stripmap SAR RAW data generation accounting for trajectory deviation and antenna pointing errors at a nonzero squint angle. IGARSS Yuhua Guo, Xiaohan Liao, Huanyin Yue, Yan Hao, Yuhong Guo
2017	A*	`conf`	Incomplete Attribute Learning with auxiliary labels. IJCAI Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2017	A	`conf`	Labelless Scene Classification with Semantic Matching. BMVC Meng Ye, Yuhong Guo
2017	A*	`conf`	Learning Discriminative Recommendation Systems with Side Information. IJCAI Feipeng Zhao, Yuhong Guo
2017	A*	`conf`	Zero-Shot Classification with Discriminative Semantic Representation Learning. CVPR Meng Ye, Yuhong Guo
2016	A*	`conf`	Improving Top-N Recommendation with Heterogeneous Loss. IJCAI Feipeng Zhao, Yuhong Guo
2016	A*	`conf`	Predictive Collaborative Filtering with Side Information. IJCAI Feipeng Zhao, Min Xiao, Yuhong Guo
2015	B	`conf`	Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing. CoNLL Min Xiao, Yuhong Guo
2015	A	`conf`	Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. AISTATS Xin Li, Feipeng Zhao, Yuhong Guo
2015	J	`jnl`	Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching. IEEE Trans. Pattern Anal. Mach. Intell. Min Xiao, Yuhong Guo
2015	—	`conf`	Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation. ACL (2) Min Xiao, Yuhong Guo
2015	A	`conf`	Max-Margin Zero-Shot Learning for Multi-class Classification. AISTATS Xin Li, Yuhong Guo
2015	A*	`conf`	Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation. IJCAI Xin Li, Yuhong Guo
2015	A*	`conf`	Semi-Supervised Multi-Label Learning with Incomplete Labels. IJCAI Feipeng Zhao, Yuhong Guo
2015	A*	`conf`	Semi-Supervised Zero-Shot Classification with Label Representation Learning. ICCV Xin Li, Yuhong Guo, Dale Schuurmans
2015	—	`conf`	Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation. ECML/PKDD (2) Min Xiao, Yuhong Guo
2014	—	`conf`	Bi-directional Representation Learning for Multi-label Classification. ECML/PKDD (2) Xin Li, Yuhong Guo
2014	A*	`conf`	Convex Co-embedding. AAAI Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans
2014	B	`conf`	Distributed Word Representation Learning for Cross-Lingual Dependency Parsing. CoNLL Min Xiao, Yuhong Guo
2014	A*	`conf`	Latent Semantic Representation Learning for Scene Classification. ICML Xin Li, Yuhong Guo
2014	J	`jnl`	Learning Representations for Weakly Supervised Natural Language Processing Tasks. Comput. Linguistics Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates
2014	A	`conf`	Multi-label Image Classification with A Probabilistic Label Enhancement Model. UAI Xin Li, Feipeng Zhao, Yuhong Guo
2014	—	`conf`	Multi-level Adaptive Active Learning for Scene Classification. ECCV (7) Xin Li, Yuhong Guo
2014	A*	`conf`	Semi-Supervised Matrix Completion for Cross-Lingual Text Classification. AAAI Min Xiao, Yuhong Guo
2013	—	`conf`	A Novel Two-Step Method for Cross Language Representation Learning. NIPS Min Xiao, Yuhong Guo
2013	A*	`conf`	Active Learning with Multi-Label SVM Classification. IJCAI Xin Li, Yuhong Guo
2013	A*	`conf`	Adaptive Active Learning for Image Classification. CVPR Xin Li, Yuhong Guo
2013	A*	`conf`	Convex Subspace Representation Learning from Multi-View Data. AAAI Yuhong Guo
2013	—	`conf`	Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model. ICML (1) Min Xiao, Yuhong Guo
2013	A*	`conf`	Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering. EMNLP Min Xiao, Feipeng Zhao, Yuhong Guo
2013	J	`jnl`	MS-kNN: protein function prediction by integrating multiple data sources. BMC Bioinform. Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vucetic
2013	J	`jnl`	Mixing-attack-proof Randomized Embedding Audio Watermarking System. J. Comput. Yuhong Guo, Qingsheng Yuan, Xuemin Zhao, Jian Liu, Yonghong Yan
2013	—	`conf`	Multi-label Classification with Output Kernels. ECML/PKDD (2) Yuhong Guo, Dale Schuurmans
2013	B	`conf`	Online Active Learning for Cost Sensitive Domain Adaptation. CoNLL Min Xiao, Yuhong Guo
2013	A*	`conf`	Probabilistic Multi-Label Classification with Sparse Feature Learning. IJCAI Yuhong Guo, Wei Xue
2013	—	`conf`	Robust Transfer Principal Component Analysis with Rank Constraints. NIPS Yuhong Guo
2013	A*	`conf`	Semi-Supervised Representation Learning for Cross-Lingual Text Classification. EMNLP Min Xiao, Yuhong Guo
2012	A	`conf`	An Object Co-occurrence Assisted Hierarchical Model for Scene Understanding. BMVC Xin Li, Yuhong Guo
2012	J	`jnl`	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. CoRR Yuhong Guo, Dale Schuurmans
2012	A*	`conf`	Cross Language Text Classification via Subspace Co-regularized Multi-view Learning . ICML Yuhong Guo, Min Xiao
2012	—	`conf`	Dynamic Grouping Strategy in Cloud Computing. CGC Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang
2012	A*	`conf`	Learning SVM Classifiers with Indefinite Kernels. AAAI Suicheng Gu, Yuhong Guo
2012	J	`jnl`	Logarithmic Adaptive Quantization Projection for Audio Watermarking. IEICE Trans. Inf. Syst. Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan, Qiang Fu
2012	C	`conf`	Max-Margin Ratio Machine. ACML Suicheng Gu, Yuhong Guo
2012	J	`jnl`	Maximum Margin Bayesian Networks CoRR Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans
2012	B	`conf`	Multi-View AdaBoost for Multilingual Subjectivity Analysis. COLING Min Xiao, Yuhong Guo
2012	—	`conf`	Optimized large vocabulary WFST speech recognition system. FSKD Yuhong Guo, Ta Li, Yujing Si, Jielin Pan, Yonghong Yan
2012	—	`conf`	Personalized Tweet Ranking Based on AHP: A Case Study of Micro-blogging Message Ranking in T.Sina. Web Intelligence/IAT Workshops Yuhong Guo, Li Kang, Tie Shi
2012	A*	`conf`	Semi-Supervised Kernel Matching for Domain Adaptation. AAAI Min Xiao, Yuhong Guo
2012	—	`conf`	Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. ECML/PKDD (2) Yuhong Guo, Dale Schuurmans
2012	B	`conf`	Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks. COLING Min Xiao, Yuhong Guo, Alexander Yates
2012	A*	`conf`	Transductive Representation Learning for Cross-Lingual Text Classification. ICDM Yuhong Guo, Min Xiao
2011	—	`conf`	A Spread Spectrum Audio Watermarking System with High Perceptual Quality. CMC Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan
2011	J	`jnl`	A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. Stat. Anal. Data Min. Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2011	A*	`conf`	Adaptive Large Margin Training for Multilabel Classification. AAAI Yuhong Guo, Dale Schuurmans
2011	B	`conf`	Making Many People Happy: Greedy Solutions for Content Distribution. ICPP Yunsheng Wang, Yuhong Guo, Jie Wu
2011	A*	`conf`	Multi-Label Classification Using Conditional Dependency Networks. IJCAI Yuhong Guo, Suicheng Gu
2011	C	`conf`	Quantization Index Modulation audio watermarking system using a psychoacoustic model. ICICS Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan
2010	—	`conf`	Active Instance Sampling via Matrix Partition. NIPS Yuhong Guo
2010	Misc	`conf`	Credit card customer analysis based on panel data clustering. ICCS Guangli Nie, Yibing Chen, Lingling Zhang, Yuhong Guo
2010	A	`conf`	Prediction of Attributes and Links in Temporal Social Networks. ECAI Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2010	A	`conf`	Regression Learning with Multiple Noisy Oracles. ECAI Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic
2009	C	`conf`	A Reformulation of Support Vector Machines for General Confidence Functions. ACML Yuhong Guo, Dale Schuurmans
2009	C	`conf`	Max-margin Multiple-Instance Learning via Semidefinite Programming. ACML Yuhong Guo
2008	—	`conf`	Efficient global optimization for exponential family PCA and low-rank matrix factorization. Allerton Yuhong Guo, Dale Schuurmans
2008	—	`conf`	Supervised Exponential Family Principal Component Analysis via Convex Optimization. NIPS Yuhong Guo
2007	—	`conf`	Convex Relaxations of Latent Variable Training. NIPS Yuhong Guo, Dale Schuurmans
2007	—	`conf`	Discriminative Batch Mode Active Learning. NIPS Yuhong Guo, Dale Schuurmans
2007	—	`conf`	Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. RECOMB-CG Yuhong Guo, Dale Schuurmans
2007	A*	`conf`	Optimistic Active-Learning Using Mutual Information. IJCAI Yuhong Guo, Russell Greiner
2006	—	`conf`	A FP-Tree-Based Method for Inverse Frequent Set Mining. BNCOD Yuhong Guo, Yunhai Tong, Shiwei Tang, Dongqing Yang
2006	A	`conf`	Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. UAI Yuhong Guo, Dale Schuurmans
2006	—	`ch.`	Metric-Based Approaches for Semi-Supervised Regression and Classification. Semi-Supervised Learning Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo
2006	C	`conf`	Triple-driven data modeling methodology in data warehousing: a case study. DOLAP Yuhong Guo, Shiwei Tang, Yunhai Tong, Dongqing Yang
2005	A*	`conf`	Discriminative Model Selection for Belief Net Structures. AAAI Yuhong Guo, Russell Greiner
2005	A*	`conf`	Learning Coordination Classifiers. IJCAI Yuhong Guo, Russell Greiner, Dale Schuurmans
2005	A	`conf`	Maximum Margin Bayesian Networks. UAI Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans