Wei Chu

	2009
29		Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah: A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. KDD 2009: 1097-1104
28		Seung-Taek Park, Wei Chu: Pairwise preference regression for cold-start recommendation. RecSys 2009: 21-28
27		Wei Chu, Seung-Taek Park: Personalized recommendation on dynamic content using predictive bilinear models. WWW 2009: 691-700
	2008
26		Wei Chu, B. Champagne: A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification. IEEE Transactions on Audio, Speech & Language Processing 16(1): 137-150 (2008)
	2007
25		Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche: A Support Vector Approach to Censored Targets. ICDM 2007: 655-660
24		Wei Chu, Benoît Champagne: An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification. ICME 2007: 196-199
23		Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi: Semi-Supervised Gaussian Process Classifiers. IJCAI 2007: 1059-1064
22		Kai Yu, Wei Chu: Gaussian Process Models for Link Analysis and Transfer Learning. NIPS 2007
21		Ricardo Silva, Wei Chu, Zoubin Ghahramani: Hidden Common Cause Relations in Relational Learning. NIPS 2007
20		Wei Chu, S. Sathiya Keerthi: Support Vector Ordinal Regression. Neural Computation 19(3): 792-815 (2007)
	2006
19		Wei Chu, Benoît Champagne: A Simplified Early Auditory Model with Application in Speech/Music Classification. CCECE 2006: 775-778
18		Shirish Krishnaj Shevade, Wei Chu: Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058
17		Wei Chu: Model Selection: An Empirical Study on Two Kernel Classifiers. IJCNN 2006: 1673-1679
16		Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu: Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560
15		Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296
14		Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild: Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. Pacific Symposium on Biocomputing 2006: 231-242
13		Wei Chu, Xi Xiao, Jia Liu: Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. SSPR/SPR 2006: 723-731
12		Wei Chu, Zoubin Ghahramani, Alexei A. Podtelezhnikov, David L. Wild: Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction. IEEE/ACM Trans. Comput. Biology Bioinform. 3(2): 98-113 (2006)
	2005
11		Wei Chu, Zoubin Ghahramani: Preference learning with Gaussian processes. ICML 2005: 137-144
10		Wei Chu, S. Sathiya Keerthi: New approaches to support vector ordinal regression. ICML 2005: 145-152
9		S. Sathiya Keerthi, Wei Chu: A matching pursuit approach to sparse Gaussian process regression. NIPS 2005
8		Wei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild: Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics 21(16): 3385-3393 (2005)
7		Wei Chu, Zoubin Ghahramani: Gaussian Processes for Ordinal Regression. Journal of Machine Learning Research 6: 1019-1041 (2005)
	2004
6		Wei Chu, Zoubin Ghahramani, David L. Wild: Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. ESANN 2004: 81-86
5		Wei Chu, Zoubin Ghahramani, David L. Wild: A graphical model for protein secondary structure prediction. ICML 2004
	2003
4		Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo: Multi-category Classification by Soft-Max Combination of Binary Classifiers. Multiple Classifier Systems 2003: 125-134
3		Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: Bayesian Trigonometric Support Vector Classifier. Neural Computation 15(9): 2227-225 (2003)
	2002
2		S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh: A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). SIGKDD Explorations 4(2): 93-94 (2002)
	2001
1		Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML 2001: 51-58

Coauthor Index

1	Todd Beaupre	[29]
2	Seinjuti Chakraborty	[29]
3	B. Champagne	[26]
4	Benoît Champagne	[19] [24]
5	Kaibo Duan	[4]
6	David S. Edwin	[2]
7	Francesco Falciani	[8]
8	Zoubin Ghahramani	[5] [6] [7] [8] [11] [12] [14] [15] [21]
9	Martin Jansche	[25]
10	S. Sathiya Keerthi	[1] [2] [3] [4] [9] [10] [15] [20] [23]
11	Roland Krause	[14]
12	David B. L. Lim	[2]
13	Jonathan Y. K. Lim	[2]
14	Jia Liu	[13]
15	Han Tong Loh	[2]
16	Rakesh Menon	[2]
17	Nitin Motgi	[29]
18	Chong Jin Ong	[1] [2] [3]
19	Seung-Taek Park	[27] [28] [29]
20	Amit Phadke	[29]
21	Alexei A. Podtelezhnikov	[12]
22	Aun Neow Poo	[4]
23	Lixiang Shen	[2]
24	Shirish Krishnaj Shevade	[4] [18]
25	Min Shi	[2]
26	Pannagadatta K. Shivaswamy	[25]
27	Keng Boon Siah	[2]
28	Ricardo Silva	[21]
29	Vikas Sindhwani	[15] [23]
30	Volker Tresp	[16]
31	David L. Wild	[5] [6] [8] [12] [14]
32	Xi Xiao	[13]
33	Zhao Xu	[16]
34	Kai Yu	[16] [22]
35	Shipeng Yu	[16]
36	Joe Zachariah	[29]

Colors in the list of coauthors