 | 2011 |
| 12 |  | Yuanqing Lin,
Fengjun Lv,
Shenghuo Zhu,
Ming Yang,
Timothée Cour,
Kai Yu,
Liangliang Cao,
Thomas S. Huang:
Large-scale image classification: Fast feature extraction and SVM training.
CVPR 2011: 1689-1696 |
| 11 |  | Kai Yu,
Yuanqing Lin,
John D. Lafferty:
Learning image representations from the pixel level via hierarchical sparse coding.
CVPR 2011: 1713-1720 |
| 2010 |
| 10 |  | Yuanqing Lin,
Tong Zhang,
Shenghuo Zhu,
Kai Yu:
Deep Coding Network.
NIPS 2010: 1405-1413 |
| 9 |  | Ming Yang,
Yuanqing Lin,
Fengjun Lv,
Shenghuo Zhu,
Kai Yu,
Mert Dikmen,
Liangliang Cao,
Thomas S. Huang:
Videos Semantic Indexing using Image Classification.
TRECVID 2010 |
| 8 |  | Yuanqing Lin,
Jinlong Shu,
Yao Meng:
Laplacian spectrum characterization of extensions of vertices of wheel graphs and multi-fan graphs.
Computers & Mathematics with Applications 60(7): 2003-2008 (2010) |
| 2009 |
| 7 |  | Yuanqing Lin,
Shenghuo Zhu,
Daniel D. Lee,
Ben Taskar:
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models.
Journal of Machine Learning Research - Proceedings Track 5: 360-367 (2009) |
| 2007 |
| 6 |  | Yuanqing Lin,
Jingdong Chen,
Youngmoo Kim,
Daniel D. Lee:
Blind channel identification for speech dereverberation using l1-norm sparse learning.
NIPS 2007 |
| 5 |  | Fei Sha,
Yuanqing Lin,
Lawrence K. Saul,
Daniel D. Lee:
Multiplicative Updates for Nonnegative Quadratic Programming.
Neural Computation 19(8): 2004-2031 (2007) |
| 2006 |
| 4 |  | Yuanqing Lin,
Daniel D. Lee:
Bayesian regularization and nonnegative deconvolution for room impulse response estimation.
IEEE Transactions on Signal Processing 54(3): 839-847 (2006) |
| 2005 |
| 3 |  | Jihun Ham,
Yuanqing Lin,
Daniel D. Lee:
Learning nonlinear appearance manifolds for robot localization.
IROS 2005: 2971-2976 |
| 2 |  | Yuanqing Lin,
Paul Vernaza,
Jihun Ham,
Daniel D. Lee:
Cooperative relative robot localization with audible acoustic sensing.
IROS 2005: 3764-3769 |
| 2004 |
| 1 |  | Yuanqing Lin,
Daniel D. Lee:
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation.
NIPS 2004 |