About Yu-Ren Lai (賴郁仁) Ph.D.

Yu-Ren Lai received the PhD degree in Computer Sci. & Info. Eng., from National Taiwan Univ. of Sci. & Tech. (NTUST), Taipei, Taiwan. The research interests include image/video processing, computer vision, pattern recognition, computational photography, and various biometrics.

2008~2016 : Ph.D., Computer Sci. & Info. Eng., National Taiwan Univ. of Sci. & Tech., Taipei, Taiwan.

2006~2008 : M.S., Computer & Info. Sci., Soochow Univ., Taipei, Taiwan.

2001~2006 : B.S., Computer Sci. & Eng., Tatung Univ., Taipei, Taiwan.

Mobile:

+886-988-636620

E-mail:

laiyuren@gmail.com

Research Directions:

1. Image/Video Processing.

2. Computer Vision.

3. Pattern Recognition.

4. Computational Photography.

5. Biometrics.

Biography:

2019.10~present : Sr. Engr., Qualcomm Corp., Taipei, Taiwan.

2017.10~2019.06 : Proj. Manager, AI Technology Center, Solution CTO Office, Coretronic Corp., Hsinchu, Taiwan.

2015.06~2017.10 : Sr. Engr., Algo. Dev. Dept. III, Perceptual Product Dev. Div., Value Creation Center, Wistron Corp., New Taipei City, Taiwan.

2009.03~2011.01 : Lecturer, Computer Sci. & Info. Eng., National Taiwan Univ. of Sci. & Tech., Taipei, Taiwan.

2005.09~2006.08 : Engr., RD Dept., Instek Digital Comp., Taipei, Taiwan.

Journals:

[1.] C.Y. Liu, S.J. Ruan, Y.R. Lai, and C.Y. Yao, “Finger-Vein as a Biometric-Based Authentication,” IEEE Consumer Electronics Magazine, 8(6), 2019, pp. 29-34. (SCI, cited: Google Scholar: 6)

[2.] Y.R. Lai, P.C. Tsai, C.Y. Yao, and S.J. Ruan, “Improved local histogram equalization with gradient-based weighting process for edge preservation,” Multimedia Tools and Applications, 76(1), 2015, pp. 1585-1613. (SCI, cited: Google Scholar: 37)

[3.] K.L. Chung, W.N. Yang, Y.R. Lai, and L.C. Lin, “Novel peer group filtering method based on the CIELab color space for impulse noise reduction,” Signal, Image and Video Processing, 8(8), 2014, pp. 1691-1713. (SCI, cited: Google Scholar: 1)

[4.] Y.R. Lai, K.L. Chung, G.Y. Lin, and C.H. Chen, “Gaussian mixture modeling of histograms for contrast enhancement,” Expert Systems with Applications, 39(8), 2012, pp. 6720-6728. (SCI, cited: Google Scholar: 25)

[5.] Y.R. Lai, K.L. Chung, C.H. Chen, G.Y. Lin, and C.H. Wang, “Novel mean-shift based histogram equalization using textured regions,” Expert Systems with Applications, 39(3), 2012, pp. 2750-2758. (SCI, cited: Google Scholar: 14)

[6.] Y.R. Lai, T.W. Lin, “A better performance on graph-based minutiae matching method,” International Journal of Computational Science, acceptance for publication, 2008.

[Others] Submitted.

Conferences:

[1.] C.Y. Liu, Y.R. Lai, C.Y. Yao, and S.J. Ruan, “An implementation of twofold examined finger-vein authentication system on GPUs,” in 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG), Apr. 22-25, 2018, Yilan, Taiwan.

[2.] Y.R. Lai, C.Y. Yao, H.S. Hu, M.T. Chi, and Y.C. Lai, “A facial skin changing system,” in 2013 Asia Pacific Signal & Information Processing Association (APSIPA) Annual Summit & Conference, Oct. 29-Nov. 1, 2013, Kaohsiung, Taiwan. (cited: Google Scholar: 2)

[3.] K.L. Chung, Y.R. Lai, C.H. Chen, W.J. Yang, and G.Y. Lin, “Local brightness preservation for dynamic histogram equalization,” in 2011 Asia Pacific Signal & Information Processing Association (APSIPA) Annual Summit & Conference, Oct. 18-21, 2011, Xi’an, China. (cited: Google Scholar: 5)

[4.] Y.R. Lai, K.L. Chung, W.N. Yang, C.H. Chen, and L.C. Lin, “Novel peer group filtering method based on the CIELab color space for impulse noise reduction,” in 21st International Conference on Computer Graphics & Vision (GraphiCon'), Sep. 26-30, 2011, Moscow, Russia, pp. 124-127. (cited: Google Scholar: 2)

[5.] Y.R. Lai, T.W. Lin, “A fast geometric method based on graph matching algorithm for fingerprints,” in 2008 International Symposium on Applied Computing & Computational Sciences (ACCS), Aug. 1-3, 2008, Hong Kong, China, pp. 61-67.

Patents:

[1.] P.C. Chen, Y.R. Lai, C.A. Cho, K.T. Huang, and Y.Y. Chen, “Image detection method and image detection device for determining postures of user,” US/CN/TW Patent, Wistron Corp.

[2] Y.R. Lai and Y.Y. Chen, “Physiological signals measurement systems and methods thereof,” US/CN/TW Patent, Wistron Corp.

[3] Y.R. Lai, P.C. Chen, C.A. Cho, K.T. Huang, and Y.Y. Chen, “Image detection method and image detection device for determining postures of user,” US/CN/TW Patent, Wistron Corp.

[4] Y.R. Lai and H.C. Chiang, “Luminance uniform detection system and luminance uniform detection method,” CN Patent, Coretronic Corp.

[Others] Submitted.

Theses:

[1.] Y.R. Lai, C.Y. Yao, “Efficient contrast enhancement for finger-vein recognition system,” Thesis of Ph.D., Computer Sci. & Info. Eng., National Taiwan Univ. of Sci. & Tech., Taipei, Taiwan, Jan., 2016.

[2.] Y.R. Lai, T.W. Lin, “A study on improvements for fingerprint identification,” Thesis of master, Computer & Info. Sci., Sch. of Business, Soochow Univ., Taipei, Taiwan, May, 2008.

Academic Services:

1. Reviewer, Sensors.

2. Reviewer, Journal of Visual Communication and Image Representation.

3. Reviewer, Applied Mathematics and Computation.

4. Reviewer, Signal Processing.

Course:

1. Lab for Object Oriented Programming, Spring, Computer Sci. & Info. Eng., National Taiwan Univ. of Sci. & Tech. (NTUST), Taipei, Taiwan, 2009~2010.