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"Publish, or perish." -- Anonymous

"Money in, paper out." -- Anonymous

    "Few, but ripe." -- Gauss

Publications:

[36] Hua-Mao Gu, Tong Lin, Xun Wang*, Shichao Zhang, “A Preliminary Geometric Structure Simplification for Principal Component Analysis,” Neurocomputing, accepted in 2018.

[35] Zhongxue Chen*, Yan Lu, Tong Lin, Qingzhong Liu, and Kai Wang, “Gene-based genetic association test with adaptive optimal weights,” Genetic Epidemiology, accepted, 2017. [PDF]

[34] Zhongxue Chen*, Tong Lin, and Kai Wang, “A powerful variant-set association test based on chi-square distribution,” Genetics, Nov. 1, 2017; 207(3):903-910;  https://doi.org/10.1534/genetics.117.300287 [PDF]

[33] Tong Lin, Tiebing Liu, Yucheng Lin, Chaoting Zhang, Lailai Yan, Zhongxue Chen, Zhonghu He*, Jingyu Wang*, “Serum Levels of Chemical Elements in Esophageal Squamous Cell Carcinoma in Anyang, China—A Case-control Study Based on Machine Learning Methods,” BMJ Open 2017;7:e015443. doi: 10.1136/bmjopen-2016-015443  [PDF]

[32] Tong Lin, Tiebing Liu, Yucheng Lin, Lailai Yan, Zhongxue Chen, Jingyu Wang*, “Comparative Study on Serum Levels of Macro and Trace elements in Schizophrenia based on Supervised Learning Methods,” Journal of Trace Elements in Medicine and Biology (JTEMB), 43:202-208, 2017. [PDF]

 [31] Yang Lin, Li Yang, Zhouchen Lin*, Tong Lin, and Hongbin Zha, “Factorization for Projective and Metric Reconstruction via Truncated Nuclear Norm,” 2017 International Joint Conference on Neural Networks (IJCNN 2017), May 14-19, 2017, Anchorage, Alaska, USA. [pdf]

[30] Tong Lin*, Yucheng Lin, “Markerless Tumor Gating and Tracking for Lung Cancer Radiotherapy based on Machine Learning Techniques”, book chapter of “Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging”, edited by K. Suzuki (Illinois Institute of Technology) and Y. Chen, Springer, pp. 337-359, 2018.  [pdf]

[29] Tong Lin*, Yao Liu, Bo Wang, Liwei Wang, Hongbin Zha,Nonlinear Dimensionality Reduction by Local Orthogonality Preserving Alignment,Journal of Computer Science and Technology (JCST), 31(3): 512-524, 2016. [pdf] [Matlab Code]

[28] Tong Lin*, Yao Liu, Bo Wang, Liwei Wang, Hongbin Zha,Local Orthogonality Preserving Alignment for Nonlinear Dimensionality Reduction,The Fourth International Conference on Computational Visual Media (CVM 2016), Cardiff, UK, April 6-8, 2016. [pdf]

[27] Tong Lin*, Hanlin Xue, Ling Wang, Bo Huang, Hongbin Zha,“Supervised Learning via Euler's Elastica Models, Journal of Machine Learning Research (JMLR), vol. 16 (Dec): 3637-3686, 2015. [pdf] [bib] [http]

[26] T. Lin*, S. Liu, and H. Zha, "Incoherent Dictionary Learning for Sparse Representation," 21st Int. Conf. Pattern Recognition (ICPR), Tsukuba, Japan, Nov. 11-15, 2012. [pdf]

[25] T. Lin*, H. Xue, L. Wang, and H. Zha, "Total Variation and Euler's Elastica for Supervised Learning," 29th Int. Conf. Machine Learning (ICML), Edinburgh, Scotland, UK, June 26-July 1, 2012. [pdf]

[24] Y. Ji, T. Lin*, and H. Zha, "CDP Mixture Models for Data Clustering," 20th Int. Conf. Pattern Recognition (ICPR), 23-26 August, 2010, Istanbul Turkey. [pdf]

[23] X. Tang, T. Lin, and S.B. Jiang, "A Feasibility Study of Treatment Verification Using EPID Cine Images for Hypofractionated Lung Radiotherapy," Physics in Medicine and Biology (PMB), vol. 54, no. 18, pp. S1-S8, 2009. [pdf]

[22] T. Lin, R. Li, X. Tang, J.G. Dy, and S.B. Jiang, "Markerless Gating for Lung Cancer Radiotherapy based on Machine Learning Techniques," Physics in Medicine and Biology (PMB), Institute of Physics (IOP), vol. 54, no. 6, pp. 1555-1563, 21 March 2009. [pdf]

[21] T. Lin, L.I. Cervino, X. Tang, N. Vasconcelos, and S.B. Jiang, "Fluoroscopic Tumor Tracking for Image-Guided Lung Cancer Radiotherapy," Physics in Medicine and Biology (PMB), Institute of Physics (IOP), vol. 54, no. 4, pp. 981-992, 21 Feb. 2009. [pdf]

[20] Y. Ji, T. Lin, and H. Zha, "Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition," The Eighth International Conference on Machine Learning and Applications (ICMLA), Oral Presentation, Miami, Florida, USA, Dec. 13-15, 2009.  [pdf]

[19] Y. Geng, T. Lin, Z. Lin, and P. Hao, "Refined Exponential Filter with Applications to Image Restoration and Interpolation," The Ninth Asian Conference on Computer Vision (ACCV), Xi'an, China, Sept. 23-27, 2009.  [pdf]

[18] T. Lin and H. Zha, "Riemannian Manifold Learning," IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), vol. 30, no. 5, pp. 796-809, 14 pages, May 2008. [pdf]

[17] T. Lin, L. Cervino, X. Tang, N. Vasconcelos, and S.B. Jiang, "Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques," Seventh International Conference on Machine Learning and Applications (ICMLA), pp. 533 - 538, San Diego, USA, 11-13 Dec. 2008.  [pdf]

[16] X. Tang, T. Lin, and S.B. Jiang, "Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy," Seventh International Conference on Machine Learning and Applications (ICMLA), pp. 551 - 555, San Diego, USA, 11-13 Dec. 2008.  [pdf]

[15] T. Lin, P. Hao, and S. Xu, "Matrix Factorizations for Reversible Integer Implementation of Orthonormal M-Band Wavelet Transforms," Signal Processing (SP), Elsevier, vol. 86, no. 8, pp. 2085-2093, 9 pages, Aug. 2006. [pdf]

[14] T. Lin, S. Xu, Q. Shi, and P. Hao, "An Algebraic Construction of Orthonormal M-Band Wavelets with Perfect Reconstruction", Applied Mathematics and Computation (AMC), Elsevier, vol. 172, no. 2, pp. 717-730, 14 pages, Jan. 2006. [pdf]

[13] T. Lin, H. Zha, and S. Lee, “Riemannian Manifold Learning for Nonlinear Dimensionality Reduction,” 9th European Conference on Computer Vision (ECCV), Oral Presentation (acceptance rate 5%), LNCS 3951, vol 1, pp. 44-55, Graz, Austria, May 7-13, 2006. [pdf]

[12] T. Lin and P. Hao, “Compound Image Compression for Real-Time Computer Screen Image Transmission”, IEEE Trans. Image Processing (TIP), vol. 14, no. 8, pp. 993-1005, 13 pages, Aug. 2005.  [pdf] [color version]

[11] T. Lin, P. Hao, and S. Lee, “Efficient Coding of Computer Generated Compound Images,” IEEE Int. Conf. Image Processing (ICIP), vol 1, pp. 561-564, Genoa, Italy, Sept. 11-14, 2005. [pdf]

[10] T. Lin, P. Hao, and S. Xu, "Factoring M-Band Wavelet Transforms into Integer Mapping Steps and Lifting Steps," IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, USA, March 19-23, 2005.  [pdf]

[9] T. Lin, P. Hao, C. Xu, and J. Feng, “Hybrid Image Coding for Real-Time Computer Screen Video Transmission”, Visual Communications and Image Processing (VCIP), part of the IS&T/SPIE Symposium on Electronic Imaging, San Jose, CA, USA, Jan. 18-22, 2004.  [pdf]

[8] T. Lin, Q. Shi, and P. Hao, "An Algebraic Approach to M-Band Wavelets Construction," IASTED Int. Conf. Signal and Image Processing (SIP), Hawaii, USA, Aug. 13-15, 2003.  [pdf]

[7] T. Lin, H. Zhang, J. Feng, and Q. Shi, "Shot Content Analysis for Video Retrieval Applications," Journal of Software (in Chinese), vol. 13, no. 8, pp. 1577-1585, Aug. 2002. [pdf]

[6] T. Lin, H. Zhang, and Q. Shi, “Video Content Representation for Shot Retrieval and Scene Extraction,” Int. Journal of Image and Graphics (IJIG), vol. 1, no. 3, pp. 507-526, Aug. 2001. [pdf]

[5] T. Lin, C. Ngo, H. Zhang, and Q. Shi, “Integrating Color and Spatial Features for Content-Based Video Retrieval,” IEEE Int. Conf. Image Processing (ICIP), Invited paper, Thessaloniki, Greece, Oct. 7-10, 2001.  [pdf]

[4] T. Lin, H. Zhang, and Q. Shi, “Video Scene Extraction by Force Competition”, IEEE Int. Conf. Multimedia and Expo (ICME), Tokyo, Japan, Aug. 22-25, 2001. [pdf]

[3] T. Lin, and Q. Shi, "Image Segmentation by an Edge Growing Method," Journal of Image and Graphics (in Chinese), no. 11, pp. 911-915, Nov. 2000. [pdf]

[2] T. Lin and H. Zhang, “Automatic Video Scene Extraction by Shot Grouping”, Int. Conf. Pattern Recognition (ICPR), Oral presentation, Barcelona, Spain, Sept. 3-8, 2000. [pdf]

[1] H. Jiang, T. Lin and H. Zhang, “Video Segmentation with the Support of Audio Segmentation and Classification”, IEEE Int. Conf. Multimedia and Expo (ICME), Oral presentation, New York, USA, July 31-Aug. 2, 2000.  [pdf]

 

 

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