Education

• B.S. Mechanical Engineering, Sun Yat-Sen University, 2012 - 2016
• M.S. Robotics, King’s College London, 2016 - 2017
• Ph.D Computer Science, City University of Hong Kong, 2018 - 2021

Internship

• Summer 2019: Algorithm Engineer
  • ASML-Brion, San Jose, U.S.A
  • Duties included: Design and implement lithographic related image processing algorithms; Design and implement a novel clustering method based on GAN, to increase the compression rate in lithographic manufacture check.
• 2017-2018: Algorithm Engineer
  • ASML-Brion, China
  • Duties included: Design and optimize computational geometry related algorithms; Develop auxiliary toolsets for data visualization, pattern recognition and algorithm verification
• Summer 2016: Algorithm Engineer
  • Ehang UAV, China
  • Duties included: Control system related research work

Publications

• Jialu Huang, Liao, J. & Kwong, S., Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network 02 Mar. 2021, (Accepted/In press/Filed) In : IEEE Transactions on Multimedia. (code can be found at Github).
• Jialu Huang, Liao, J. & Kwong, S., Multi-Density Sketch-to-Image Translation Network (Accepted/In press/Filed) In : IEEE Transactions on Multimedia.
• Jialu Huang, Liao, J. & Kwong, S., Semantic Example Guided Image-to-Image Translation 11 Jun 2020, (Accepted/In press/Filed) In : IEEE Transactions on Multimedia.
• Huang, J.L., Lu, Z.R. BB-BC optimization algorithm for structural damage detection using measured acceleration responses (2017) Structural Engineering and Mechanics, 64 (3), pp. 353-360.
• Ding, Z.H., Yao, R.Z., Huang, J.L., Huang, M., Lu, Z.R. Structural damage detection based on residual force vector and imperialist competitive algorithm (2017) Structural Engineering and Mechanics, 62 (6), pp. 709-717.
• Wei, Z., Huang, J., Lu, Z., Wu, W. Structural damage detection using disturbed particle swarm optimization (2017) 24th International Congress on Sound and Vibration, ICSV 2017,

Skills

• Language: C++, Python, JavaScript, HTML
• OS: a big fan of Linux, also a Mac OS user
• Tools: familiar with Pytorch, Matlab, ROS, have experience with Tensorflow, Keras With strong interest in computer graphics and deep learning, also equipped with competent mathematical modeling and data analysis ability

Teaching Assistance

• 2018 Fall Advanced Web Development
• 2019 Fall Database System

Service

Reviewer for IEEE Transactions on Image Processing, Structural Engineering and Mechanics

More about me

I am an ACG guy and the Leagues of Legend is my favourite game! Currently I try to write Tech blogs, new posts can be found here