About Me

My interests include coding, painting, watching movies and traveling to new places. Maybe it is way too wide, but you can conclude that I am a guy who cannot live without stories and imagination. Browsing this website, you can find part of my story.

Contact Details

Jeng-Hau Lin
9500 Gilman Drive
La Jolla, CA 92093-0404, U.S.A.
j e l 2 5 2 a t u c s d d o t e d u

Download Resume

Education

Dept. of Computer Science and Engineering, UC San Diego

A Ph.D. candidate in Computer Science and Engineering • working on it

My research advisors are Prof. Rajesh K. Gupta and Prof. Zhuowen Tu. I have two on-going research projects: contextual robots for disaster response, and binarized convolutional neural networks for embedded systems.

Graduate Institute of Communication Engineering, National Taiwan University

M.S. in Communication Engineering • June 2007

As a member in Prof. Ruey-Beei Wu's Signal Integrity group, my research topic included through-hole via design and lossy transmission lines. We dived into the fundamental theories of electromagnetics and time-frequency analysis to solve the non-causality problem of lossy transmission lines.

Dept. of Electrical Engineering, National Taiwan University

B.S. Degree in EE • June 2005

My study ranged over both cyber and physical worlds. For the computer science part, I took programming, discrete mathematics, advanced linear systems, micro-controller lab, computer organization, etc.; for the engineering part, I took micro-electronics, electromagnetics, modern physicas, etc.

Work

TA COGS185

Teaching assistant of Advanced Machine Learning• Mar. 2018 - Jun. 2018

Developing course materials for students to understand supervised learning algorithms such as logistic regression, support vector machine, boosting, conditional random field, decision tree, and neural network.
Leading discussion/lab sessions to improve the students’ learning.

TA CSE143

Teaching assistant of Microelectronic System Design• Mar.. 2017 - Jun. 2017

Designing materials/projects for students to implement deep learning algorithms with VHDL.
Leading discussion/lab sessions to improve the students’ learning.

Huami Inc.

Data Scientist (Summer Internship)• Aug. 2015 - Sep. 2015

Analyzing bio-signals with wavelet transform, discrete cosine transform and applying unsupervised learning method for human identification.

AVerMedia Technology Inc.

Advanced Engineer• Jan. 2008 - June 2013

Circuitry design of front-end lumped filters and baseband digital modules for TV signals, Wi-Fi, TD-SCDMA.
Developing the testing software application for image compression, video streaming, video decoding, television signal, and infrared remote controllers.

Compulsory military service

Corporal• Oct. 2007 - Jan. 2008

Three months military training for high-pressure working environment.

Publications

  • Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, and Zhuowen Tu. "Local Binary Pattern Network." In Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. (accepted) PDF
  • Jeng-Hau Lin (co-first authors), Atieh Lotfi (co-first authors), Vahideh Akhlaghi, Zhuowen Tu, and Rajesh Gupta. "Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs." In Proceedings of IEEE Conference on Desgin, Automation and Test in Europe (DATE), pp. 1106-1111, 2019. PDF
  • Fang Zhuo, Jeng-Hau Lin,Mani B. Srivastava, and Rajesh Gupta. "Multi-Tenant Mobile Offloading Systems for Real-Time Computer Vision Applications.” In Proceedings of the International Conference on Distributed Computing and Networking (ICDCN), 2019. PDF
  • Xun Jiao, Mulong Luo, Jeng-Hau Lin, and Rajesh K. Gupta. “An Assessment of Vulnerability of Hardware Neural Networks to Dynamic Voltage and Temperature Variations.” In IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Irvine, USA. 2017. PDF
  • Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani Srivastava, Zhuowen Tu, and Rajesh K. Gupta. "Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration." In IEEE Computer Vision and Pattern Recognition Workshop (CVPRW), pp. 27-35, 2017. PDF
  • Jeng-Hau Lin, Hao Liu, Chia-Hung Liu, Phillip Lam, Gung-Yu Pan, Hao Zhuang, Ilgweon Kang, Patrick P. Mercier, and Chung-Kuan Cheng. "An Interdigitated Non-Contact ECG Electrode for Impedance Compensation and Signal Restoration." In IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4, 2015. PDF
  • Ilgweon Kang, Xinan Wang, Jeng-Hau Lin, Ryan Coutts, and Chung-Kuan Cheng. "Impulse Response Generation from S-parameters for Power Delivery Network Simulation." In IEEE Symposium on Electromagnetic Compatibility and Signal Integrity (EMC+SIPI), pp. 277-282, 2015. PDF
  • Hao Zhuang, Shih-Hung Weng, Jeng-Hau Lin, and Chung-Kuan Cheng. "MATEX: A Distributed Framework for Transient Simulation of Power Distribution Networks." In Proceedings of the The 51st Annual Design Automation Conference (DAC), pp. 1-6. ACM, 2014. PDF
  • Wei-Da Guo (co-first authors), Jeng-Hau Lin (co-first authors), Guang-Hwa Shiue, Chien-Ming Lin, Tian-Wei Huang, and Ruey-Beei Wu. “Fast Methodology for Determining Eye Diagram Characteristics of Lossy Transmission Lines.” In IEEE Transactions on Advanced Packaging (TAdvPkg), vol. 32, no. 1, pp. 175-183, Feb. 2009. PDF
  • Jeng-Hau Lin,Wei-Da Guo, Guang-Hwa Shiue, Chien-Ming Lin, Tian-Wei Huang, and Ruey-Beei Wu. “Fast Algorithm for Determining Eye-Diagram Characteristics of Lossy Transmission Lines.” In IEEE 16th Topical Meeting on Electrical Performance of Electronic Packaging (EPEP), pp. 119-122, Oct. 2007. PDF

    • Latest Tweets