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Wei Chu
2010 – today
- 2013
[c39]Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu: Learning to extract cross-session search tasks. WWW 2013: 1353-1364- [c38]Ryen W. White, Wei Chu, Ahmed Hassan, Xiaodong He, Yang Song, Hongning Wang: Enhancing personalized search by mining and modeling task behavior. WWW 2013: 1411-1420
- 2012
- [j18]Jie Ying Gao, Cheng Hua Zhang, Mei Ming Luo, Chan Kyung Kim, Wei Chu, Ying Xue: Mechanism for the reaction of 2-naphthol with N-methyl-N-phenyl-hydrazine suggested by the density functional theory investigations. Journal of Computational Chemistry 33(2): 220-230 (2012)
- [j17]Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang: Bandits with Generalized Linear Models. Journal of Machine Learning Research - Proceedings Track 26: 19-36 (2012)
- [j16]Wei Chu, Abeer Alwan: SAFE: A Statistical Approach to F0 Estimation Under Clean and Noisy Conditions. IEEE Transactions on Audio, Speech & Language Processing 20(3): 933-944 (2012)
- [j15]Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang: An Online Learning Framework for Refining Recency Search Results with User Click Feedback. ACM Trans. Inf. Syst. 30(4): 20 (2012)
- [c37]
- [c36]Wei Chu, Abeer Alwan: FBEM: A filter bank EM algorithm for the joint optimization of features and acoustic model parameters in bird call classification. ICASSP 2012: 1993-1996
- [c35]Paul N. Bennett, Ryen W. White, Wei Chu, Susan T. Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui: Modeling the impact of short- and long-term behavior on search personalization. SIGIR 2012: 185-194
- 2011
- [j14]Wei Chu, Xiaogang Gao, Soroosh Sorooshian: Handling boundary constraints for particle swarm optimization in high-dimensional search space. Inf. Sci. 181(20): 4569-4581 (2011)
- [j13]Wei Chu, Xiaogang Gao, Soroosh Sorooshian: A new evolutionary search strategy for global optimization of high-dimensional problems. Inf. Sci. 181(22): 4909-4927 (2011)
- [j12]Wei Chu, Lihong Li, Lev Reyzin, Robert E. Schapire: Contextual Bandits with Linear Payoff Functions. Journal of Machine Learning Research - Proceedings Track 15: 208-214 (2011)
- [j11]Wei Chu, Xiaogang Gao, Soroosh Sorooshian: A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization. IEEE Systems Journal 5(3): 362-373 (2011)
- [c34]Wei Chu, Xiaogang Gao, Soroosh Sorooshian: Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. IEEE Congress on Evolutionary Computation 2011: 1644-1648
- [c33]Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng: A machine-learned proactive moderation system for auction fraud detection. CIKM 2011: 2501-2504
- [c32]Wei Chu, Daniel T. Blumstein: Noise robust bird song detection using syllable pattern-based hidden Markov models. ICASSP 2011: 345-348
- [c31]Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng: Unbiased online active learning in data streams. KDD 2011: 195-203
- [c30]Lihong Li, Wei Chu, John Langford, Xuanhui Wang: Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. WSDM 2011: 297-306
- [i4]Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang: Refining Recency Search Results with User Click Feedback. CoRR abs/1103.3735 (2011)
- 2010
- [c29]Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang: Online learning for recency search ranking using real-time user feedback. CIKM 2010: 1501-1504
- [c28]Wei Chu, Abeer Alwan: SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech. INTERSPEECH 2010: 2590-2593
- [c27]Lihong Li, Wei Chu, John Langford, Robert E. Schapire: A contextual-bandit approach to personalized news article recommendation. WWW 2010: 661-670
- [i3]Jiang Chen, Wei Chu, Zhenzhen Kou, Zhaohui Zheng: Learning to Blend by Relevance. CoRR abs/1001.4597 (2010)
- [i2]Lihong Li, Wei Chu, John Langford, Robert E. Schapire: A Contextual-Bandit Approach to Personalized News Article Recommendation. CoRR abs/1003.0146 (2010)
- [i1]Lihong Li, Wei Chu, John Langford: An Unbiased, Data-Driven, Offline Evaluation Method of Contextual Bandit Algorithms. CoRR abs/1003.5956 (2010)
2000 – 2009
- 2009
- [j10]Wei Chu, Zoubin Ghahramani: Probabilistic Models for Incomplete Multi-dimensional Arrays. Journal of Machine Learning Research - Proceedings Track 5: 89-96 (2009)
- [c26]Wei Chu, Abeer Alwan: Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend. ICASSP 2009: 3969-3972
- [c25]Wei Chu, Abeer Alwan: A correlation-maximization denoising filter used as an enhancement frontend for noise robust bird call classification. INTERSPEECH 2009: 2831-2834
- [c24]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
- [c23]Seung-Taek Park, Wei Chu: Pairwise preference regression for cold-start recommendation. RecSys 2009: 21-28
- [c22]Wei Chu, Seung-Taek Park: Personalized recommendation on dynamic content using predictive bilinear models. WWW 2009: 691-700
- 2008
- [j9]Wei Chu, Benoît 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
- [j8]Wei Chu, S. Sathiya Keerthi: Support Vector Ordinal Regression. Neural Computation 19(3): 792-815 (2007)
- [c21]Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche: A Support Vector Approach to Censored Targets. ICDM 2007: 655-660
- [c20]Wei Chu, Benoît Champagne: An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification. ICME 2007: 196-199
- [c19]Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi: Semi-Supervised Gaussian Process Classifiers. IJCAI 2007: 1059-1064
- [c18]Wei Chu, Jia Liu: Using confidence measures to evaluate the speaker turns in speaker segmentation. ISSPA 2007: 1-4
- [c17]Wei Chu, Jia Liu: Subband Energy distance measure applied in multi-pass speech/non-speech discrimination. ISSPA 2007: 1-4
- [c16]Ricardo Silva, Wei Chu, Zoubin Ghahramani: Hidden Common Cause Relations in Relational Learning. NIPS 2007
- [c15]
- 2006
- [j7]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)
- [c14]Wei Chu, Benoît Champagne: A Simplified Early Auditory Model with Application in Speech/Music Classification. CCECE 2006: 775-778
- [c13]Shirish Krishnaj Shevade, Wei Chu: Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058
- [c12]
- [c11]Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296
- [c10]Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu: Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560
- [c9]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
- [c8]Wei Chu, Xi Xiao, Jia Liu: Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. SSPR/SPR 2006: 723-731
- 2005
- [j6]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)
- [j5]Wei Chu, Zoubin Ghahramani: Gaussian Processes for Ordinal Regression. Journal of Machine Learning Research 6: 1019-1041 (2005)
- [j4]Wei Chu, Chong Jin Ong, S. Sathiya Keerthi: An improved conjugate gradient scheme to the solution of least squares SVM. IEEE Transactions on Neural Networks 16(2): 498-501 (2005)
- [c7]
- [c6]Wei Chu, S. Sathiya Keerthi: New approaches to support vector ordinal regression. ICML 2005: 145-152
- [c5]S. Sathiya Keerthi, Wei Chu: A matching pursuit approach to sparse Gaussian process regression. NIPS 2005
- 2004
- [j3]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: Bayesian support vector regression using a unified loss function. IEEE Transactions on Neural Networks 15(1): 29-44 (2004)
- [c4]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
- [c3]Wei Chu, Zoubin Ghahramani, David L. Wild: A graphical model for protein secondary structure prediction. ICML 2004
- 2003
- [j2]Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: Bayesian Trigonometric Support Vector Classifier. Neural Computation 15(9): 2227-225 (2003)
- [c2]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
- 2002
- [j1]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
- [c1]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
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last updated on 2013-05-26 22:06 CEST by the dblp team