YUANQING LIN
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■ Olga Russakovsky, Yuanqing Lin, Kai Yu and Fei-Fei Li, “ Object-centric Spatial Pooling for Image Classification ”, ECCV 2012; [PDF] ■ Chunhui Gu, Pablo Arbelaez, Yuanqing Lin, Kai Yu and Jitendra Malik, “ Multi-Component Models for Object Detection ”, ECCV 2012; [PDF]
■ Kai Yu, Yuanqing Lin and John Lafferty, “ Learning Image Representations from the Pixel Level via Hierarchical Sparse Coding ”, CVPR 2011; [PDF] ■ Yuanqing Lin, Liangliang Cao, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothee Cour, Kai Yu and Thomas Huang, “ Large-scale Image Classification: Fast Feature Extraction and SVM Training ”, CVPR 2011; [PDF]
■ Yuanqing Lin, Tong Zhang, Shenghuo Zhu and Kai Yu, “ Deep Coding Network ”, NIPS 2010; [PDF, Poster]
■ Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee and Ben Taskar, “ Learning sparse Markov network structure via ensemble-of-trees models ”, AISTATS 2009; [PDF, Poster]
■ Yuanqing Lin, “ l1-norm sparse Bayesian learning: theory and applications ”, Ph.D. Thesis, University of Pennsylvania, (2008); [PDF ]
■ Yuanqing Lin, Jingdong Chen, Youngmoo Kim, and Daniel D. Lee, “Blind channel identification for speech dereverberation using l1-norm sparse learning ”, NIPS 2007 ; [PDF, Slides] ■ Yuanqing Lin, Jingdong Chen, Youngmoo Kim, and Daniel D. Lee, “Blind sparse-nonnegative (BSN) channel identification for acoustic time-difference-of-arrival estimation”, WASPAA 2007; [PDF, Slides]
■ Fei Sha, Yuanqing Lin, Lawrence K. Saul, and Daniel D. Lee, “Multiplicative updates for nonnegative quadratic programming ”, Neural Computation, 19(8): 2004-2031 (2007); [PDF Bib] ■ Yuanqing Lin, Daniel D. Lee, “Bayesian Regularization And Nonnegative Deconvolution (BRAND) for room impulse response estimation”, IEEE Trans. Signal Processing, 54(3): 839-847 (2006); [PDF Bib]
2005 ■ Yuanqing Lin, Daniel D. Lee, “Bayesian Regularization And
Nonnegative Deconvolution (BRAND) for acoustic echo cancellation”, IEEE
Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA
2005);
■ Jihun Ham, Yuanqing Lin and
Daniel D. Lee, “Learning
nonlinear appearance manifolds for robot localization”, IEEE/ISJ
International Conference on Intelligent Robotics and Systems:
1239-1244 (2005) ;
■ Yuanqing Lin, Paul Vernaza,
Jihun Ham, and Daniel D. Lee, “Cooperative
relative robot localization with audible acoustic sensing”, IEEE/ISJ International Conference on Intelligent
Robotics and Systems: 662-667 (2005) . [PDF Bib]
■ Yuanqing Lin, Daniel D. Lee, “Relevant
deconvolution for acoustic source estimation”, International Conference on Acoustics,
Speech, and Signal Processing (ICASSP), V: 529-532(2005);
■ Yuanqing Lin, Daniel D. Lee, “Bayesian
regularization and nonnegative deconvolution for time delay estimation”, Advances in Neural and Information
Processing Systems (NIPS), Edited by Lawrence K. Saul and Yair Weiss and
Leon Bottou , 17: 809-816 (2005);
■ Neil G. Hockstein, Erica R. Thaler, Yuanqing Lin, Daniel D. Lee,
C. William Hanson, “Correlation
of Pneumonia score with electronic nose signature: a prospective study”, Annals of Otology, Rhinology, and Laryngology, 114(7): 504-508 (2005);
2004
Publications related to my work before the Ph.D. program:
■ Ryotaro Kime, Joohee Im, Danile Moser, Yuanqing
Lin, Shoko Nioka, Toshihito Katsumura, and Britton Chance, “Reduced
Heterogeneity of Muscle Deoxygenation during Heavy Bicycle Exercise”, Medicine and
Science in Sports and Exercise, 37(3): 412-417 (2005)
■ Yuanqing Lin, Gwen Lech, Shoko
Nioka, Xavier Intes, and Britton Chance, “Noninvasive, low-noise, fast imaging of blood volume and
deoxygenation changes in muscles using light-emitting diode continuous-wave
imager”, Review of
Scientific Instruments, 73(8): 3065-3074 (2002); [Link Bib]
■ Yuanqing
Lin, Yang Zhao, “High-sensitivity spectroscopy for laser
frequency stabilization”, Optical Technology (in Chinese), 139(5):
62-64(1999)
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