Publication

 

2013

Xiaoyu Wang, Ming Yang, Shenghuo Zhu and Yuanqing Lin, “ Regionlets for Generic Object Detection ”, ICCV 2013; [PDF] oral

Shiliang Zhang, Ming Yang, Xiaoyu Wang, Yuanqing Lin and Qi Tian, “ Semantic-aware Co-indexing for Image Retrieval ”, ICCV 2013; [PDF]

Sid Yingze Bao, Manmohan Chandraker, Yuanqing Lin and Silvio Savarese, “ Dense Object Reconstruction with Semantic Priors ”, CVPR 2013; [PDF] oral

Anelia Angelova, Shenghuo Zhu and Yuanqing Lin, “ Image segmentation for large-scale subcategory flower recognition ”, WACV 2013; [PDF]

2012

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]

2011

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]

2010

Yuanqing Lin, Tong Zhang, Shenghuo Zhu and Kai Yu, “ Deep Coding Network ”, NIPS 2010; [PDF, Poster]

2009

Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee and Ben Taskar, “ Learning sparse Markov network structure via ensemble-of-trees models ”, AISTATS 2009; [PDF, Poster]

2008

Yuanqing Lin, “ l1-norm sparse Bayesian learning: theory and applications ”, Ph.D. Thesis, University of Pennsylvania, (2008); [PDF ]

2007

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] oral

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] oral

2006

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]

Yuanqing Lin, Daniel D. Lee, “Bayesian L1-norm sparse learning”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP 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); [PDF Bib]

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) ;   [PDF Bib]

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);   [PDF Bib]

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); [PDF Bib]

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); [Link Bib]

2004

Yuanqing Lin, Daniel D. Lee, and Lawrence K. Saul, “Nonnegative deconvolution for time of arrival estimation”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), II: 377-380 (2004).   [PDF Bib]

 

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)   [PDF Bib]

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]

Jun Zhang, Yuanqing Lin, Shoko Nioka, Nancy O'Connor, Brian Czerniecki, Emily F. Conant, Britton Chance,Application of LED imager for breast cancer diagnosis”, Proceedings of SPIE, 4916: 30-36 (2002);    

Yuanqing Lin, Yang Zhao,  “High-sensitivity spectroscopy for laser frequency stabilization”, Optical Technology (in Chinese), 139(5): 62-64(1999)