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2020 – today
- 2024
[c105]Yan Yan, Yuhong Guo:
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. AAAI 2024: 16272-16280- [c104]Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo:
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. AISTATS 2024: 1369-1377 - [c103]Qing En, Yuhong Guo:
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. AISTATS 2024: 1441-1449 - [c102]Qing En, Yuhong Guo:
AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation. ECML/PKDD (3) 2024: 267-283 - [i41]Qing En, Yuhong Guo:
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation. CoRR abs/2404.11008 (2024) - [i40]Hao Yan, Yuhong Guo:
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model. CoRR abs/2404.11046 (2024) - [i39]Marzi Heidari, Hanping Zhang, Yuhong Guo:
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning. CoRR abs/2404.11795 (2024) - [i38]Qing En, Yuhong Guo:
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. CoRR abs/2404.11812 (2024) - [i37]Marzi Heidari, Hanping Zhang, Yuhong Guo:
Reinforcement Learning-Guided Semi-Supervised Learning. CoRR abs/2405.01760 (2024) - [i36]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 abs/2407.15309 (2024) - [i35]Yi Xiong, Hao Wu, Changxu Shao, Ziqing Wang, Rui Zhang, Yuhong Guo, Junping Zhao, Ke Zhang, Zhenxuan Pan:
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management. CoRR abs/2410.00428 (2024) - 2023
- [j14]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: 108294 (2023) - [j13]Zhengxia Zou
, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye:
Object Detection in 20 Years: A Survey. Proc. IEEE 111(3): 257-276 (2023) - [c101]Abdullah Alchihabi, Yuhong Guo:
Learning Robust Graph Neural Networks with Limited Supervision. AISTATS 2023: 8723-8733 - [c100]Taoseef Ishtiak, Qing En, Yuhong Guo:
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars. CVPR 2023: 15424-15433 - [c99]Xuejun Han, Yuhong Guo:
Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. ECAI 2023: 988-995 - [c98]Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo:
Improving Word Embedding Using Variational Dropout. FLAIRS 2023 - [c97]Abdullah Alchihabi, Qing En, Yuhong Guo:
Efficient Low-Rank GNN Defense Against Structural Attacks. ICKG 2023: 1-8 - [c96]Yan Yan, Yuhong Guo:
Mutual Partial Label Learning with Competitive Label Noise. ICLR 2023 - [c95]Yan Yan, Yuhong Guo:
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment. ICLR 2023 - [c94]Abdullah Alchihabi, Yuhong Guo:
GDM: Dual Mixup for Graph Classification with Limited Supervision. ECML/PKDD (3) 2023: 309-324 - [i34]Xuejun Han, Yuhong Guo:
Evolving Dictionary Representation for Few-shot Class-incremental Learning. CoRR abs/2305.01885 (2023) - [i33]Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo:
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. CoRR abs/2309.01342 (2023) - [i32]Abdullah Alchihabi, Yuhong Guo:
GDM: Dual Mixup for Graph Classification with Limited Supervision. CoRR abs/2309.10134 (2023) - [i31]Abdullah Alchihabi, Qing En, Yuhong Guo:
Efficient Low-Rank GNN Defense Against Structural Attacks. CoRR abs/2309.10136 (2023) - [i30]Abdullah Alchihabi, Marzi Heidari, Yuhong Guo:
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. CoRR abs/2312.03928 (2023) - 2022
- [j12]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): 9272-9282 (2022) - [c93]Qing En, Yuhong Guo:
Exemplar Learning for Medical Image Segmentation. BMVC 2022: 296 - [c92]Hao Yan, Yuhong Guo:
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. BMVC 2022: 965 - [c91]Xuejun Han, Yuhong Guo:
Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation. BMVC 2022: 1011 - [i29]Qing En, Yuhong Guo:
Exemplar Learning for Medical Image Segmentation. CoRR abs/2204.01713 (2022) - [i28]Hanping Zhang, Yuhong Guo:
Safe Reinforcement Learning with Contrastive Risk Prediction. CoRR abs/2209.09648 (2022) - [i27]Hao Yan, Yuhong Guo:
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. CoRR abs/2212.08187 (2022) - [i26]Qing En, Yuhong Guo:
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. CoRR abs/2212.08774 (2022) - 2021
- [c90]Yan Yan, Yuhong Guo:
Adversarial Partial Multi-Label Learning with Label Disambiguation. AAAI 2021: 10568-10576 - [c89]Yan Hao, Yuhong Guo, Chunsheng Yang:
Source-free Unsupervised Domain Adaptation with Surrogate Data Generation. BMVC 2021: 198 - [c88]Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng:
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. BMVC 2021: 299 - [c87]Chunsheng Yang, Yuhong Guo, Yubin Yang, Xiaohua Yang:
Toward Lifetime Learning-based Predictive. CSCWD 2021: 139-143 - [c86]Wentao Cui, Yuhong Guo:
Parameterless Transductive Feature Re-representation for Few-Shot Learning. ICML 2021: 2212-2221 - [c85]Yan Yan, Yuhong Guo:
Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. IJCAI 2021: 3264-3270 - [c84]Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng:
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. KDD 2021: 1036-1044 - [c83]Xuejun Han, Yuhong Guo:
Continual Learning with Dual Regularizations. ECML/PKDD (1) 2021: 619-634 - [i25]Pengli Lu, Chen Dong, Yuhong Guo:
A novel method based on node correlation to evaluate the important nodes in complex networks. CoRR abs/2102.10824 (2021) - [i24]Hanping Zhang, Yuhong Guo:
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation. CoRR abs/2106.15587 (2021) - [i23]Abdullah Alchihabi, Yuhong Guo:
Dual GNNs: Graph Neural Network Learning with Limited Supervision. CoRR abs/2106.15755 (2021) - [i22]Xuejun Han, Yuhong Guo:
Contrastive Continual Learning with Feature Propagation. CoRR abs/2112.01713 (2021) - 2020
- [j11]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) - [j10]Zengmao Wang, Bo Du, Yuhong Guo:
Domain Adaptation With Neural Embedding Matching. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2387-2397 (2020) - [j9]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): 4673-4687 (2020) - [c82]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. AAAI 2020: 6438-6445 - [c81]Yan Yan, Yuhong Guo:
Partial Label Learning with Batch Label Correction. AAAI 2020: 6575-6582 - [c80]Yaser Alwatter, Yuhong Guo:
Inverse Visual Question Answering with Multi-Level Attentions. ACML 2020: 449-464 - [c79]Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Adaptive Object Detection with Dual Multi-label Prediction. ECCV (28) 2020: 54-69 - [c78]Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. ECCV Workshops (1) 2020: 671-686 - [c77]Vasileios Lioutas, Yuhong Guo:
Time-aware Large Kernel Convolutions. ICML 2020: 6172-6183 - [i21]Vasileios Lioutas, Yuhong Guo:
Time-aware Large Kernel Convolutions. CoRR abs/2002.03184 (2020) - [i20]Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Adaptive Object Detection with Dual Multi-Label Prediction. CoRR abs/2003.12943 (2020) - [i19]Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Mutual Learning Network for Multi-Source Domain Adaptation. CoRR abs/2003.12944 (2020) - [i18]Kevin Hua, Yuhong Guo:
Unsupervised Domain Adaptation with Progressive Domain Augmentation. CoRR abs/2004.01735 (2020) - [i17]Yan Yan, Yuhong Guo:
Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise. CoRR abs/2005.05407 (2020) - [i16]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 abs/2005.08463 (2020) - [i15]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 abs/2006.04323 (2020) - [i14]Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye:
A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning. CoRR abs/2006.11384 (2020) - [i13]Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. CoRR abs/2011.07205 (2020) - [i12]Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye:
Domain Adaptation with Incomplete Target Domains. CoRR abs/2012.01606 (2020) - [i11]Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng:
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. CoRR abs/2012.03438 (2020)
2010 – 2019
- 2019
- [j8]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): 46-56 (2019) - [c76]Meng Ye, Yuhong Guo:
Progressive Ensemble Networks for Zero-Shot Recognition. CVPR 2019: 11728-11736 - [c75]Meng Ye, Yuhong Guo:
Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection. ICIP 2019: 3671-3675 - [c74]Mingli Zhang, Yuhong Guo, Caiming Zhang, Jean-Baptiste Poline, Alan C. Evans:
Modeling and Analysis Brain Development via Discriminative Dictionary Learning. MLMIR@MICCAI 2019: 80-88 - [i10]Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye:
Object Detection in 20 Years: A Survey. CoRR abs/1905.05055 (2019) - [i9]Yan Yan, Yuhong Guo:
Adversarial Partial Multi-Label Learning. CoRR abs/1909.06717 (2019) - [i8]Yaser Alwatter, Yuhong Guo:
Inverse Visual Question Answering with Multi-Level Attentions. CoRR abs/1909.07583 (2019) - [i7]Xinyuan Lu, Yuhong Guo:
Learning to Generate Questions with Adaptive Copying Neural Networks. CoRR abs/1909.08187 (2019) - [i6]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. CoRR abs/1909.08203 (2019) - 2018
- [c73]Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
Visual Relationship Detection With Deep Structural Ranking. AAAI 2018: 7098-7105 - [c72]Chen Shen, Yuhong Guo:
Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. ACML 2018: 375-390 - [c71]Zengmao Wang, Yuhong Guo, Bo Du:
Matrix completion with Preference Ranking for Top-N Recommendation. IJCAI 2018: 3585-3591 - [c70]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: 152-160 - [i5]Meng Ye, Yuhong Guo:
Deep Triplet Ranking Networks for One-Shot Recognition. CoRR abs/1804.07275 (2018) - [i4]Meng Ye, Yuhong Guo:
Self-Training Ensemble Networks for Zero-Shot Image Recognition. CoRR abs/1805.07473 (2018) - [i3]Meng Ye, Yuhong Guo:
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection. CoRR abs/1808.02474 (2018) - 2017
- [j7]Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang:
Effective Query Grouping Strategy in Clouds. J. Comput. Sci. Technol. 32(6): 1231-1249 (2017) - [c69]Yuhong Guo:
Convex Co-Embedding for Matrix Completion with Predictive Side Information. AAAI 2017: 1955-1961 - [c68]Meng Ye, Yuhong Guo:
Labelless Scene Classification with Semantic Matching. BMVC 2017 - [c67]Meng Ye, Yuhong Guo:
Zero-Shot Classification with Discriminative Semantic Representation Learning. CVPR 2017: 5103-5111 - [c66]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: 1728-1731 - [c65]Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
Incomplete Attribute Learning with auxiliary labels. IJCAI 2017: 2252-2258 - [c64]Feipeng Zhao, Yuhong Guo:
Learning Discriminative Recommendation Systems with Side Information. IJCAI 2017: 3469-3475 - 2016
- [c63]Feipeng Zhao, Yuhong Guo:
Improving Top-N Recommendation with Heterogeneous Loss. IJCAI 2016: 2378-2384 - [c62]Feipeng Zhao, Min Xiao, Yuhong Guo:
Predictive Collaborative Filtering with Side Information. IJCAI 2016: 2385-2391 - 2015
- [j6]Min Xiao, Yuhong Guo:
Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 54-66 (2015) - [c61]Min Xiao, Yuhong Guo:
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation. ACL (2) 2015: 524-529 - [c60]Xin Li, Yuhong Guo:
Max-Margin Zero-Shot Learning for Multi-class Classification. AISTATS 2015 - [c59]Xin Li, Feipeng Zhao, Yuhong Guo:
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. AISTATS 2015 - [c58]Min Xiao, Yuhong Guo:
Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing. CoNLL 2015: 73-82 - [c57]Xin Li, Yuhong Guo, Dale Schuurmans:
Semi-Supervised Zero-Shot Classification with Label Representation Learning. ICCV 2015: 4211-4219 - [c56]Xin Li, Yuhong Guo:
Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation. IJCAI 2015: 3635-3642 - [c55]Feipeng Zhao, Yuhong Guo:
Semi-Supervised Multi-Label Learning with Incomplete Labels. IJCAI 2015: 4062-4068 - [c54]Min Xiao, Yuhong Guo:
Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation. ECML/PKDD (2) 2015: 525-540 - 2014
- [j5]Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates:
Learning Representations for Weakly Supervised Natural Language Processing Tasks. Comput. Linguistics 40(1): 85-120 (2014) - [c53]Min Xiao, Yuhong Guo:
Semi-Supervised Matrix Completion for Cross-Lingual Text Classification. AAAI 2014: 1607-1614 - [c52]Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans:
Convex Co-embedding. AAAI 2014: 1989-1996 - [c51]Min Xiao, Yuhong Guo:
Distributed Word Representation Learning for Cross-Lingual Dependency Parsing. CoNLL 2014: 119-129 - [c50]Xin Li, Yuhong Guo:
Multi-level Adaptive Active Learning for Scene Classification. ECCV (7) 2014: 234-249 - [c49]Xin Li, Yuhong Guo:
Latent Semantic Representation Learning for Scene Classification. ICML 2014: 532-540 - [c48]Xin Li, Yuhong Guo:
Bi-directional Representation Learning for Multi-label Classification. ECML/PKDD (2) 2014: 209-224 - [c47]Xin Li, Feipeng Zhao, Yuhong Guo:
Multi-label Image Classification with A Probabilistic Label Enhancement Model. UAI 2014: 430-439 - 2013
- [j4]Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vucetic:
MS-kNN: protein function prediction by integrating multiple data sources. BMC Bioinform. 14(S-3): S8 (2013) - [j3]Yuhong Guo, Qingsheng Yuan, Xuemin Zhao, Jian Liu, Yonghong Yan:
Mixing-attack-proof Randomized Embedding Audio Watermarking System. J. Comput. 8(12): 3243-3250 (2013) - [c46]Yuhong Guo:
Convex Subspace Representation Learning from Multi-View Data. AAAI 2013: 387-393 - [c45]Min Xiao, Yuhong Guo:
Online Active Learning for Cost Sensitive Domain Adaptation. CoNLL 2013: 1-9 - [c44]Xin Li, Yuhong Guo:
Adaptive Active Learning for Image Classification. CVPR 2013: 859-866 - [c43]Min Xiao, Feipeng Zhao, Yuhong Guo:
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering. EMNLP 2013: 152-162 - [c42]Min Xiao, Yuhong Guo:
Semi-Supervised Representation Learning for Cross-Lingual Text Classification. EMNLP 2013: 1465-1475 - [c41]Min Xiao, Yuhong Guo:
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model. ICML (1) 2013: 293-301 - [c40]Yuhong Guo, Wei Xue:
Probabilistic Multi-Label Classification with Sparse Feature Learning. IJCAI 2013: 1373-1379 - [c39]Xin Li, Yuhong Guo:
Active Learning with Multi-Label SVM Classification. IJCAI 2013: 1479-1485 - [c38]Yuhong Guo:
Robust Transfer Principal Component Analysis with Rank Constraints. NIPS 2013: 1151-1159 - [c37]Min Xiao, Yuhong Guo:
A Novel Two-Step Method for Cross Language Representation Learning. NIPS 2013: 1259-1267 - [c36]Yuhong Guo, Dale Schuurmans:
Multi-label Classification with Output Kernels. ECML/PKDD (2) 2013: 417-432 - 2012
- [j2]Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan, Qiang Fu:
Logarithmic Adaptive Quantization Projection for Audio Watermarking. IEICE Trans. Inf. Syst. 95-D(5): 1436-1445 (2012) - [c35]Suicheng Gu, Yuhong Guo:
Learning SVM Classifiers with Indefinite Kernels. AAAI 2012: 942-948 - [c34]Min Xiao, Yuhong Guo:
Semi-Supervised Kernel Matching for Domain Adaptation. AAAI 2012: 1183-1189 - [c33]Xin Li, Yuhong Guo:
An Object Co-occurrence Assisted Hierarchical Model for Scene Understanding. BMVC 2012: 1-11 - [c32]Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang:
Dynamic Grouping Strategy in Cloud Computing. CGC 2012: 59-66 - [c31]Min Xiao, Yuhong Guo:
Multi-View AdaBoost for Multilingual Subjectivity Analysis. COLING 2012: 2851-2866 - [c30]Min Xiao, Yuhong Guo, Alexander Yates:
Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks. COLING 2012: 2867-2882 - [c29]Yuhong Guo, Ta Li, Yujing Si, Jielin Pan, Yonghong Yan:
Optimized large vocabulary WFST speech recognition system. FSKD 2012: 1243-1247 - [c28]Yuhong Guo, Li Kang, Tie Shi:
Personalized Tweet Ranking Based on AHP: A Case Study of Micro-blogging Message Ranking in T.Sina. Web Intelligence/IAT Workshops 2012: 159-163 - [c27]Yuhong Guo, Min Xiao:
Transductive Representation Learning for Cross-Lingual Text Classification. ICDM 2012: 888-893 - [c26]Yuhong Guo, Min Xiao:
Cross Language Text Classification via Subspace Co-regularized Multi-view Learning . ICML 2012 - [c25]Yuhong Guo, Dale Schuurmans:
Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. ECML/PKDD (2) 2012: 355-370 - [c24]Suicheng Gu, Yuhong Guo:
Max-Margin Ratio Machine. ACML 2012: 145-157 - [i2]Yuhong Guo, Dale Schuurmans:
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. CoRR abs/1206.6832 (2012) - [i1]Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans:
Maximum Margin Bayesian Networks. CoRR abs/1207.1382 (2012) - 2011
- [j1]Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic:
A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. Stat. Anal. Data Min. 4(5): 470-486 (2011) - [c23]Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan:
Quantization Index Modulation audio watermarking system using a psychoacoustic model. ICICS 2011: 1-4 - [c22]Yuhong Guo, Dale Schuurmans:
Adaptive Large Margin Training for Multilabel Classification. AAAI 2011: 374-379 - [c21]Yunsheng Wang, Yuhong Guo, Jie Wu:
Making Many People Happy: Greedy Solutions for Content Distribution. ICPP 2011: 693-702 - [c20]Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan:
A Spread Spectrum Audio Watermarking System with High Perceptual Quality. CMC 2011: 266-269 - [c19]Yuhong Guo, Suicheng Gu:
Multi-Label Classification Using Conditional Dependency Networks. IJCAI 2011: 1300-1305 - 2010
- [c18]Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic:
Regression Learning with Multiple Noisy Oracles. ECAI 2010: 445-450 - [c17]Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic:
Prediction of Attributes and Links in Temporal Social Networks. ECAI 2010: 1121-1122 - [c16]Yuhong Guo:
Active Instance Sampling via Matrix Partition. NIPS 2010: 802-810 - [c15]Guangli Nie, Yibing Chen, Lingling Zhang, Yuhong Guo:
Credit card customer analysis based on panel data clustering. ICCS 2010: 2489-2497
2000 – 2009
- 2009
- [c14]Yuhong Guo:
Max-margin Multiple-Instance Learning via Semidefinite Programming. ACML 2009: 98-108 - [c13]Yuhong Guo, Dale Schuurmans:
A Reformulation of Support Vector Machines for General Confidence Functions. ACML 2009: 109-119 - 2008
- [c12]Yuhong Guo, Dale Schuurmans:
Efficient global optimization for exponential family PCA and low-rank matrix factorization. Allerton 2008: 1100-1107 - [c11]Yuhong Guo:
Supervised Exponential Family Principal Component Analysis via Convex Optimization. NIPS 2008: 569-576 - 2007
- [c10]Yuhong Guo, Russell Greiner:
Optimistic Active-Learning Using Mutual Information. IJCAI 2007: 823-829 - [c9]Yuhong Guo, Dale Schuurmans:
Discriminative Batch Mode Active Learning. NIPS 2007: 593-600 - [c8]Yuhong Guo, Dale Schuurmans:
Convex Relaxations of Latent Variable Training. NIPS 2007: 601-608 - [c7]Yuhong Guo, Dale Schuurmans:
Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. RECOMB-CG 2007: 83-95 - 2006
- [c6]Yuhong Guo, Yunhai Tong, Shiwei Tang, Dongqing Yang:
A FP-Tree-Based Method for Inverse Frequent Set Mining. BNCOD 2006: 152-163 - [c5]Yuhong Guo, Shiwei Tang, Yunhai Tong, Dongqing Yang:
Triple-driven data modeling methodology in data warehousing: a case study. DOLAP 2006: 59-66 - [c4]Yuhong Guo, Dale Schuurmans:
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. UAI 2006 - [p1]Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo:
Metric-Based Approaches for Semi-Supervised Regression and Classification. Semi-Supervised Learning 2006: 420-451 - 2005
- [c3]Yuhong Guo, Russell Greiner:
Discriminative Model Selection for Belief Net Structures. AAAI 2005: 770-776 - [c2]Yuhong Guo, Russell Greiner, Dale Schuurmans:
Learning Coordination Classifiers. IJCAI 2005: 714-721 - [c1]Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans:
Maximum Margin Bayesian Networks. UAI 2005: 233-242
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-06 20:26 CET by the dblp team
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