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| 2012 | ||
|---|---|---|
| 53 | 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) | |
| 52 | 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) | |
| 51 | 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) | |
| 2011 | ||
| 50 | Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng: A machine-learned proactive moderation system for auction fraud detection. CIKM 2011: 2501-2504 | |
| 49 | Wei Chu, Daniel T. Blumstein: Noise robust bird song detection using syllable pattern-based hidden Markov models. ICASSP 2011: 345-348 | |
| 48 | 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 | |
| 47 | Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng: Unbiased online active learning in data streams. KDD 2011: 195-203 | |
| 46 | Lihong Li, Wei Chu, John Langford, Xuanhui Wang: Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. WSDM 2011: 297-306 | |
| 45 | Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang: Refining Recency Search Results with User Click Feedback CoRR abs/1103.3735: (2011) | |
| 44 | 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) | |
| 43 | 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) | |
| 42 | 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) | |
| 41 | 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) | |
| 2010 | ||
| 40 | 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 | |
| 39 | Wei Chu, Abeer Alwan: SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech. INTERSPEECH 2010: 2590-2593 | |
| 38 | Lihong Li, Wei Chu, John Langford, Robert E. Schapire: A contextual-bandit approach to personalized news article recommendation. WWW 2010: 661-670 | |
| 37 | Jiang Chen, Wei Chu, Zhenzhen Kou, Zhaohui Zheng: Learning to Blend by Relevance CoRR abs/1001.4597: (2010) | |
| 36 | Lihong Li, Wei Chu, John Langford, Robert E. Schapire: A Contextual-Bandit Approach to Personalized News Article Recommendation CoRR abs/1003.0146: (2010) | |
| 35 | Lihong Li, Wei Chu, John Langford: An Unbiased, Data-Driven, Offline Evaluation Method of Contextual Bandit Algorithms CoRR abs/1003.5956: (2010) | |
| 2009 | ||
| 34 | 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 | |
| 33 | Wei Chu, Abeer Alwan: A correlation-maximization denoising filter used as an enhancement frontend for noise robust bird call classification. INTERSPEECH 2009: 2831-2834 | |
| 32 | 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 | |
| 31 | Seung-Taek Park, Wei Chu: Pairwise preference regression for cold-start recommendation. RecSys 2009: 21-28 | |
| 30 | Wei Chu, Seung-Taek Park: Personalized recommendation on dynamic content using predictive bilinear models. WWW 2009: 691-700 | |
| 29 | Wei Chu, Zoubin Ghahramani: Probabilistic Models for Incomplete Multi-dimensional Arrays. Journal of Machine Learning Research - Proceedings Track 5: 89-96 (2009) | |
| 2008 | ||
| 28 | 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 | ||
| 27 | Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche: A Support Vector Approach to Censored Targets. ICDM 2007: 655-660 | |
| 26 | Wei Chu, Benoît Champagne: An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification. ICME 2007: 196-199 | |
| 25 | Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi: Semi-Supervised Gaussian Process Classifiers. IJCAI 2007: 1059-1064 | |
| 24 | Kai Yu, Wei Chu: Gaussian Process Models for Link Analysis and Transfer Learning. NIPS 2007 | |
| 23 | Ricardo Silva, Wei Chu, Zoubin Ghahramani: Hidden Common Cause Relations in Relational Learning. NIPS 2007 | |
| 22 | Wei Chu, S. Sathiya Keerthi: Support Vector Ordinal Regression. Neural Computation 19(3): 792-815 (2007) | |
| 2006 | ||
| 21 | Wei Chu, Benoît Champagne: A Simplified Early Auditory Model with Application in Speech/Music Classification. CCECE 2006: 775-778 | |
| 20 | Shirish Krishnaj Shevade, Wei Chu: Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058 | |
| 19 | Wei Chu: Model Selection: An Empirical Study on Two Kernel Classifiers. IJCNN 2006: 1673-1679 | |
| 18 | Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu: Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560 | |
| 17 | Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296 | |
| 16 | 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 | |
| 15 | Wei Chu, Xi Xiao, Jia Liu: Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. SSPR/SPR 2006: 723-731 | |
| 14 | 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 | ||
| 13 | Wei Chu, Zoubin Ghahramani: Preference learning with Gaussian processes. ICML 2005: 137-144 | |
| 12 | Wei Chu, S. Sathiya Keerthi: New approaches to support vector ordinal regression. ICML 2005: 145-152 | |
| 11 | S. Sathiya Keerthi, Wei Chu: A matching pursuit approach to sparse Gaussian process regression. NIPS 2005 | |
| 10 | 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) | |
| 9 | 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) | |
| 8 | Wei Chu, Zoubin Ghahramani: Gaussian Processes for Ordinal Regression. Journal of Machine Learning Research 6: 1019-1041 (2005) | |
| 2004 | ||
| 7 | 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 | |
| 6 | Wei Chu, Zoubin Ghahramani, David L. Wild: A graphical model for protein secondary structure prediction. ICML 2004 | |
| 5 | 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) | |
| 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 | |
Colors in the list of coauthors
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