Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYuhong Guo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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)- [c98]Abdullah Alchihabi, Yuhong Guo:
Learning Robust Graph Neural Networks with Limited Supervision. AISTATS 2023: 8723-8733 - [c97]Taoseef Ishtiak, Qing En, Yuhong Guo:
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars. CVPR 2023: 15424-15433 - [c96]Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo:
Improving Word Embedding Using Variational Dropout. FLAIRS 2023 - [c95]Yan Yan, Yuhong Guo:
Mutual Partial Label Learning with Competitive Label Noise. ICLR 2023 - [c94]Yan Yan, Yuhong Guo:
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment. ICLR 2023 - [c93]Abdullah Alchihabi, Yuhong Guo:
GDM: Dual Mixup for Graph Classification with Limited Supervision. ECML/PKDD (3) 2023: 309-324 - [i33]Xuejun Han, Yuhong Guo:
Evolving Dictionary Representation for Few-shot Class-incremental Learning. CoRR abs/2305.01885 (2023) - [i32]Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo:
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. CoRR abs/2309.01342 (2023) - [i31]Abdullah Alchihabi, Yuhong Guo:
GDM: Dual Mixup for Graph Classification with Limited Supervision. CoRR abs/2309.10134 (2023) - [i30]Abdullah Alchihabi, Qing En, Yuhong Guo:
Efficient Low-Rank GNN Defense Against Structural Attacks. CoRR abs/2309.10136 (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) - [c92]Qing En, Yuhong Guo:
Exemplar Learning for Medical Image Segmentation. BMVC 2022: 296 - [c91]Hao Yan, Yuhong Guo:
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. BMVC 2022: 965 - [c90]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
- [c89]Yan Yan, Yuhong Guo:
Adversarial Partial Multi-Label Learning with Label Disambiguation. AAAI 2021: 10568-10576 - [c88]Yan Hao, Yuhong Guo, Chunsheng Yang:
Source-free Unsupervised Domain Adaptation with Surrogate Data Generation. BMVC 2021: 198 - [c87]Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng:
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. BMVC 2021: 299 - [c86]Chunsheng Yang, Yuhong Guo, Yubin Yang, Xiaohua Yang:
Toward Lifetime Learning-based Predictive. CSCWD 2021: 139-143 - [c85]Wentao Cui, Yuhong Guo:
Parameterless Transductive Feature Re-representation for Few-Shot Learning. ICML 2021: 2212-2221 - [c84]Yan Yan, Yuhong Guo:
Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. IJCAI 2021: 3264-3270 - [c83]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 - [c82]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) - [c81]Yuan Wu, Yuhong Guo:
Dual Adversarial Co-Learning for Multi-Domain Text Classification. AAAI 2020: 6438-6445 - [c80]Yan Yan, Yuhong Guo:
Partial Label Learning with Batch Label Correction. AAAI 2020: 6575-6582 - [c79]Yaser Alwatter, Yuhong Guo:
Inverse Visual Question Answering with Multi-Level Attentions. ACML 2020: 449-464 - [c78]Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Adaptive Object Detection with Dual Multi-label Prediction. ECCV (28) 2020: 54-69 - [c77]Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. ECCV Workshops (1) 2020: 671-686 - [c76]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) - [c75]Meng Ye, Yuhong Guo:
Progressive Ensemble Networks for Zero-Shot Recognition. CVPR 2019: 11728-11736 - [c74]Meng Ye, Yuhong Guo:
Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection. ICIP 2019: 3671-3675 - [c73]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
- [c72]Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
Visual Relationship Detection With Deep Structural Ranking. AAAI 2018: 7098-7105 - [c71]Chen Shen, Yuhong Guo:
Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. ACML 2018: 375-390 - [c70]Zengmao Wang, Yuhong Guo, Bo Du:
Matrix completion with Preference Ranking for Top-N Recommendation. IJCAI 2018: 3585-3591 - [c69]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) - [c68]Yuhong Guo:
Convex Co-Embedding for Matrix Completion with Predictive Side Information. AAAI 2017: 1955-1961 - [c67]Meng Ye, Yuhong Guo:
Labelless Scene Classification with Semantic Matching. BMVC 2017 - [c66]Meng Ye, Yuhong Guo:
Zero-Shot Classification with Discriminative Semantic Representation Learning. CVPR 2017: 5103-5111 - [c65]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 - [c64]Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen:
Incomplete Attribute Learning with auxiliary labels. IJCAI 2017: 2252-2258 - [c63]Feipeng Zhao, Yuhong Guo:
Learning Discriminative Recommendation Systems with Side Information. IJCAI 2017: 3469-3475 - 2016
- [c62]Feipeng Zhao, Yuhong Guo:
Improving Top-N Recommendation with Heterogeneous Loss. IJCAI 2016: 2378-2384 - [c61]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) - [c60]Min Xiao, Yuhong Guo:
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation. ACL (2) 2015: 524-529 - [c59]Xin Li, Yuhong Guo:
Max-Margin Zero-Shot Learning for Multi-class Classification. AISTATS 2015 - [c58]Xin Li, Feipeng Zhao, Yuhong Guo:
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. AISTATS 2015 - [c57]Min Xiao, Yuhong Guo:
Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing. CoNLL 2015: 73-82 - [c56]Xin Li, Yuhong Guo, Dale Schuurmans:
Semi-Supervised Zero-Shot Classification with Label Representation Learning. ICCV 2015: 4211-4219 - [c55]Xin Li, Yuhong Guo:
Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation. IJCAI 2015: 3635-3642 - [c54]Feipeng Zhao, Yuhong Guo:
Semi-Supervised Multi-Label Learning with Incomplete Labels. IJCAI 2015: 4062-4068 - [c53]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) - [c52]Min Xiao, Yuhong Guo:
Semi-Supervised Matrix Completion for Cross-Lingual Text Classification. AAAI 2014: 1607-1614 - [c51]Farzaneh Mirzazadeh, Yuhong Guo, Dale Schuurmans:
Convex Co-embedding. AAAI 2014: 1989-1996 - [c50]Min Xiao, Yuhong Guo:
Distributed Word Representation Learning for Cross-Lingual Dependency Parsing. CoNLL 2014: 119-129 - [c49]Xin Li, Yuhong Guo:
Multi-level Adaptive Active Learning for Scene Classification. ECCV (7) 2014: 234-249 - [c48]Xin Li, Yuhong Guo:
Latent Semantic Representation Learning for Scene Classification. ICML 2014: 532-540 - [c47]Xin Li, Yuhong Guo:
Bi-directional Representation Learning for Multi-label Classification. ECML/PKDD (2) 2014: 209-224 - [c46]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) - [c45]Yuhong Guo:
Convex Subspace Representation Learning from Multi-View Data. AAAI 2013: 387-393 - [c44]Min Xiao, Yuhong Guo:
Online Active Learning for Cost Sensitive Domain Adaptation. CoNLL 2013: 1-9 - [c43]Xin Li, Yuhong Guo:
Adaptive Active Learning for Image Classification. CVPR 2013: 859-866 - [c42]Min Xiao, Feipeng Zhao, Yuhong Guo:
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering. EMNLP 2013: 152-162 - [c41]Min Xiao, Yuhong Guo:
Semi-Supervised Representation Learning for Cross-Lingual Text Classification. EMNLP 2013: 1465-1475 - [c40]Min Xiao, Yuhong Guo:
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model. ICML (1) 2013: 293-301 - [c39]Yuhong Guo, Wei Xue:
Probabilistic Multi-Label Classification with Sparse Feature Learning. IJCAI 2013: 1373-1379 - [c38]Xin Li, Yuhong Guo:
Active Learning with Multi-Label SVM Classification. IJCAI 2013: 1479-1485 - [c37]Yuhong Guo:
Robust Transfer Principal Component Analysis with Rank Constraints. NIPS 2013: 1151-1159 - [c36]Min Xiao, Yuhong Guo:
A Novel Two-Step Method for Cross Language Representation Learning. NIPS 2013: 1259-1267 - [c35]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) - [c34]Suicheng Gu, Yuhong Guo:
Learning SVM Classifiers with Indefinite Kernels. AAAI 2012: 942-948 - [c33]Min Xiao, Yuhong Guo:
Semi-Supervised Kernel Matching for Domain Adaptation. AAAI 2012: 1183-1189 - [c32]Xin Li, Yuhong Guo:
An Object Co-occurrence Assisted Hierarchical Model for Scene Understanding. BMVC 2012: 1-11 - [c31]Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang:
Dynamic Grouping Strategy in Cloud Computing. CGC 2012: 59-66 - [c30]Min Xiao, Yuhong Guo:
Multi-View AdaBoost for Multilingual Subjectivity Analysis. COLING 2012: 2851-2866 - [c29]Min Xiao, Yuhong Guo, Alexander Yates:
Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks. COLING 2012: 2867-2882 - [c28]Yuhong Guo, Ta Li, Yujing Si, Jielin Pan, Yonghong Yan:
Optimized large vocabulary WFST speech recognition system. FSKD 2012: 1243-1247 - [c27]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 - [c26]Yuhong Guo, Min Xiao:
Transductive Representation Learning for Cross-Lingual Text Classification. ICDM 2012: 888-893 - [c25]Yuhong Guo, Min Xiao:
Cross Language Text Classification via Subspace Co-regularized Multi-view Learning . ICML 2012 - [c24]Yuhong Guo, Dale Schuurmans:
Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. ECML/PKDD (2) 2012: 355-370 - [c23]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) - [c22]Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan:
Quantization Index Modulation audio watermarking system using a psychoacoustic model. ICICS 2011: 1-4 - [c21]Yuhong Guo, Dale Schuurmans:
Adaptive Large Margin Training for Multilabel Classification. AAAI 2011: 374-379 - [c20]Yunsheng Wang, Yuhong Guo, Jie Wu:
Making Many People Happy: Greedy Solutions for Content Distribution. ICPP 2011: 693-702 - [c19]