| 2012 | ||
|---|---|---|
| j4 | Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan, Qiang Fu: Logarithmic Adaptive Quantization Projection for Audio Watermarking. IEICE Transactions 95-D(5): 1436-1445 (2012) | |
| j3 | Suicheng Gu, Yuhong Guo: Max-Margin Ratio Machine. Journal of Machine Learning Research - Proceedings Track 25: 145-157 (2012) | |
| c30 | ||
| c29 | ||
| c28 | ||
| c27 | Qin Liu, Yuhong Guo, Jie Wu, Guojun Wang: Dynamic Grouping Strategy in Cloud Computing. CGC 2012: 59-66 | |
| c26 | Min Xiao, Yuhong Guo: Multi-View AdaBoost for Multilingual Subjectivity Analysis. COLING 2012: 2851-2866 | |
| c25 | Min Xiao, Yuhong Guo, Alexander Yates: Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks. COLING 2012: 2867-2882 | |
| c24 | Yuhong Guo, Ta Li, Yujing Si, Jielin Pan, Yonghong Yan: Optimized large vocabulary WFST speech recognition system. FSKD 2012: 1243-1247 | |
| c23 | ||
| c22 | ||
| c21 | Yuhong Guo, Dale Schuurmans: Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. ECML/PKDD (2) 2012: 355-370 | |
| i1 | Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans: Maximum Margin Bayesian Networks. CoRR abs/1207.1382 (2012) | |
| 2011 | ||
| j2 | Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. Statistical Analysis and Data Mining 4(5): 470-486 (2011) | |
| c20 | Yuhong Guo, Dale Schuurmans: Adaptive Large Margin Training for Multilabel Classification. AAAI 2011 | |
| c19 | Yunsheng Wang, Yuhong Guo, Jie Wu: Making Many People Happy: Greedy Solutions for Content Distribution. ICPP 2011: 693-702 | |
| c18 | Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan: A Spread Spectrum Audio Watermarking System with High Perceptual Quality. CMC 2011: 266-269 | |
| c17 | Yuhong Guo, Suicheng Gu: Multi-Label Classification Using Conditional Dependency Networks. IJCAI 2011: 1300-1305 | |
| 2010 | ||
| j1 | Guangli Nie, Yibing Chen, Lingling Zhang, Yuhong Guo: Credit card customer analysis based on panel data clustering. Procedia CS 1(1): 2489-2497 (2010) | |
| c16 | Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: Regression Learning with Multiple Noisy Oracles. ECAI 2010: 445-450 | |
| c15 | Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: Prediction of Attributes and Links in Temporal Social Networks. ECAI 2010: 1121-1122 | |
| c14 | ||
| 2009 | ||
| c13 | ||
| c12 | Yuhong Guo, Dale Schuurmans: A Reformulation of Support Vector Machines for General Confidence Functions. ACML 2009: 109-119 | |
| 2008 | ||
| 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 | ||
| c8 | ||
| 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 | |
| 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 | ||
Colors in the list of coauthors
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