Xuming He

	2012
18		Bin Li, Feng Liang, Jianhua Hu, Xuming He: Reno: regularized non-parametric analysis of protein lysate array data. Bioinformatics 28(9): 1223-1229 (2012)
17		Wing-Kam Fung, Xuming He, Mia Hubert, Stephen Portnoy, Huixia Judy Wang: Editorial for the special issue on quantile regression and semiparametric methods. Computational Statistics & Data Analysis 56(4): 753-754 (2012)
16		Guixian Lin, Xuming He, Stephen Portnoy: Quantile regression with doubly censored data. Computational Statistics & Data Analysis 56(4): 797-812 (2012)
	2011
15		Tao Wang, Xuming He, Chunhua Shen, Nick Barnes: Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. DICTA 2011: 209-216
14		Jun Sun, Hongdong Li, Xuming He: Analysis on Tree Structure Selection for MRF Inference in Low-level Vision. DICTA 2011: 66-71
13		Rui-Yin Liu, Jian Tao, Ning-Zhong Shi, Xuming He: Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling. Computational Statistics & Data Analysis 55(3): 1498-1508 (2011)
	2010
12		Xuming He, Alan L. Yuille: Occlusion Boundary Detection Using Pseudo-depth. ECCV (4) 2010: 539-552
11		Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille: A unified model of short-range and long-range motion perception. NIPS 2010: 2478-2486
10		Xuming He, Hongqi Xue, Ning-Zhong Shi: Sieve maximum likelihood estimation for doubly semiparametric zero-inflated Poisson models. J. Multivariate Analysis 101(9): 2026-2038 (2010)
	2009
9		Feng Hong, Fang Fang, Xuming He, Xiaoyi Cao, Hiram Chipperfield, Dan Xie, Wing H. Wong, Huck H. Ng, Sheng Zhong: Dissecting Early Differentially Expressed Genes in a Mixture of Differentiating Embryonic Stem Cells. PLoS Computational Biology 5(12): (2009)
	2008
8		Xuming He, Richard S. Zemel: Latent topic random fields: Learning using a taxonomy of labels. CVPR 2008
7		Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn: Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. INTERSPEECH 2008: 2443-2445
6		Xuming He, Richard S. Zemel: Learning Hybrid Models for Image Annotation with Partially Labeled Data. NIPS 2008: 625-632
5		Liam Stewart, Xuming He, Richard S. Zemel: Learning Flexible Features for Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1415-1426 (2008)
	2007
4		Jianhua Hu, Xuming He, Keith A. Baggerly, Kevin R. Coombes, Bryan T. J. Hennessy, Gordon B. Mills: Non-parametric quantification of protein lysate arrays. Bioinformatics 23(15): 1986-1994 (2007)
	2006
3		Xuming He, Richard S. Zemel, Debajyoti Ray: Learning and Incorporating Top-Down Cues in Image Segmentation. ECCV (1) 2006: 338-351
2		Xuming He, Richard S. Zemel, Volodymyr Mnih: Topological map learning from outdoor image sequences. J. Field Robotics 23(11-12): 1091-1104 (2006)
	2004
1		Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán: Multiscale Conditional Random Fields for Image Labeling. CVPR (2) 2004: 695-702

Coauthor Index

1	Keith A. Baggerly	[4]
2	Nick Barnes	[15]
3	Xiaoyi Cao	[9]
4	Miguel Á. Carreira-Perpiñán	[1]
5	Hiram Chipperfield	[9]
6	Kevin R. Coombes	[4]
7	Fang Fang	[9]
8	Wing-Kam Fung	[17]
9	Bryan T. J. Hennessy	[4]
10	Feng Hong	[9]
11	Jianhua Hu	[4] [18]
12	Mia Hubert	[17]
13	Bin Li	[18]
14	Hongdong Li	[14]
15	Feng Liang	[18]
16	Guixian Lin	[16]
17	Rui-Yin Liu	[13]
18	Hongjing Lu	[11]
19	Gordon B. Mills	[4]
20	Volodymyr Mnih	[2]
21	Cosmin Munteanu	[7]
22	Huck H. Ng	[9]
23	Gerald Penn	[7]
24	Stephen Portnoy	[16] [17]
25	Debajyoti Ray	[3]
26	Chunhua Shen	[15]
27	Ning-Zhong Shi	[10] [13]
28	Liam Stewart	[5]
29	Jun Sun	[14]
30	Jian Tao	[13]
31	Huixia Judy Wang	[17]
32	Tao Wang	[15]
33	Wing H. Wong	[9]
34	Shuang Wu	[11]
35	Dan Xie	[9]
36	Hongqi Xue	[10]
37	Alan L. Yuille	[11] [12]
38	Richard S. Zemel	[1] [2] [3] [5] [6] [8]
39	Sheng Zhong	[9]
40	Xiaodan Zhu	[7]

Colors in the list of coauthors

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