Yuhong Guo

	2012
23		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)
	2011
22		Yuhong Guo, Dale Schuurmans: Adaptive Large Margin Training for Multilabel Classification. AAAI 2011
21		Xuemin Zhao, Yuhong Guo, Jian Liu, Yonghong Yan: A Spread Spectrum Audio Watermarking System with High Perceptual Quality. CMC 2011: 266-269
20		Yunsheng Wang, Yuhong Guo, Jie Wu: Making Many People Happy: Greedy Solutions for Content Distribution. ICPP 2011: 693-702
19		Yuhong Guo, Suicheng Gu: Multi-Label Classification Using Conditional Dependency Networks. IJCAI 2011: 1300-1305
18		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)
	2010
17		Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: Prediction of Attributes and Links in Temporal Social Networks. ECAI 2010: 1121-1122
16		Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong Guo, Zoran Obradovic: Regression Learning with Multiple Noisy Oracles. ECAI 2010: 445-450
15		Yuhong Guo: Active Instance Sampling via Matrix Partition. NIPS 2010: 802-810
14		Guangli Nie, Yibing Chen, Lingling Zhang, Yuhong Guo: Credit card customer analysis based on panel data clustering. Procedia CS 1(1): 2489-2497 (2010)
	2009
13		Yuhong Guo, Dale Schuurmans: A Reformulation of Support Vector Machines for General Confidence Functions. ACML 2009: 109-119
12		Yuhong Guo: Max-margin Multiple-Instance Learning via Semidefinite Programming. ACML 2009: 98-108
	2008
11		Yuhong Guo: Supervised Exponential Family Principal Component Analysis via Convex Optimization. NIPS 2008: 569-576
	2007
10		Yuhong Guo, Russell Greiner: Optimistic Active-Learning Using Mutual Information. IJCAI 2007: 823-829
9		Yuhong Guo, Dale Schuurmans: Convex Relaxations of Latent Variable Training. NIPS 2007
8		Yuhong Guo, Dale Schuurmans: Discriminative Batch Mode Active Learning. NIPS 2007
7		Yuhong Guo, Dale Schuurmans: Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. RECOMB-CG 2007: 83-95
	2006
6		Yuhong Guo, Yunhai Tong, Shiwei Tang, Dongqing Yang: A FP-Tree-Based Method for Inverse Frequent Set Mining. BNCOD 2006: 152-163
5		Yuhong Guo, Shiwei Tang, Yunhai Tong, Dongqing Yang: Triple-driven data modeling methodology in data warehousing: a case study. DOLAP 2006: 59-66
4		Yuhong Guo, Dale Schuurmans: Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. UAI 2006
	2005
3		Yuhong Guo, Russell Greiner: Discriminative Model Selection for Belief Net Structures. AAAI 2005: 770-776
2		Yuhong Guo, Russell Greiner, Dale Schuurmans: Learning Coordination Classifiers. IJCAI 2005: 714-721
1		Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans: Maximum Margin Bayesian Networks. UAI 2005: 233-242

Coauthor Index

1	Yibing Chen	[14]
2	Debasish Das	[16]
3	Qiang Fu	[23]
4	Russell Greiner	[2] [3] [10]
5	Suicheng Gu	[19]
6	Jian Liu	[21] [23]
7	Guangli Nie	[14]
8	Zoran Obradovic	[16] [17] [18]
9	Vladimir Ouzienko	[16] [17] [18]
10	Kosta Ristovski	[16]
11	Dale Schuurmans	[1] [2] [4] [7] [8] [9] [13] [22]
12	Shiwei Tang (Shi-Wei Tang)	[5] [6]
13	Yunhai Tong	[5] [6]
14	Yunsheng Wang	[20]
15	Dana F. Wilkinson	[1]
16	Jie Wu	[20]
17	Yonghong Yan	[21] [23]
18	Dongqing Yang	[5] [6]
19	Lingling Zhang	[14]
20	Xuemin Zhao	[21] [23]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page