I am a software engineer in the Network Infrastructure Group at Google.
I completed my Ph.D. in electrical engineering at Stanford University, advised by Phil Levis and Keith Winstein and with the collaboration of Chris Ré. My dissertation focused on making electronic component information more accessible by using machine learning to build knowledge bases directly from PDF datasheets. While in grad school, I also researched low-latency, foveated video compression for future VR systems, built drivers at NVIDIA, and implemented optimizations for Linux networking at Google.
Before Stanford, I graduated summa cum laude from Brigham Young University with a B.S. in computer engineering and worked mainly on embedded systems and FPGA reliability with Mike Wirthlin.
Research
Select publications, in reverse chronological order.
Peer-Reviewed Papers
Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning
L. Hsiao, S. Wu, N. Chiang, C. Ré, and P. Levis
ACM Transactions on Embedded Computing Systems (TECS), Sept. 2020
Automating the Generation of Hardware Component Knowledge Bases
L. Hsiao, S. Wu, N. Chiang, C. Ré, and P. Levis
Languages, Compilers, and Tools for Embedded Systems (LCTES), Jun. 2019
Fonduer: Knowledge Base Construction from Richly Formatted Data
S. Wu, L. Hsiao, X. Cheng, B. Hancock, T. Rekatsinas, P. Levis, and C. Ré
ACM Conference on Management of Data (SIGMOD), May 2018
Smart Contracts for Machine-to-Machine Communication: Possibilities and Limitations
Y. Hanada, L. Hsiao, and P. Levis
IEEE Conference on Internet of Things and Intelligence Systems (IOTAIS), Nov. 2018
Estimating Soft Processor Soft Error Sensitivity through Fault Injection
N. Harward, M. Gardiner, L. Hsiao, M. Wirthlin
IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), May 2015
A Fault Injection System for Measuring Soft Processor Design Sensitivity on Virtex-5 FPGAs
N. Harward, M. Gardiner, L. Hsiao, M. Wirthlin
Workshop on FPGAs for Aerospace Applications (FASA), Sept. 2014
Preprints
The Price of Free Illegal Live Streaming Services
H. Ayers and L. Hsiao
arXiv, Jan. 2019
TCPTuner: Congestion Control Your Way
K. Miller and L. Hsiao
arXiv, May 2016
Projects
- [WIP] fVideo: An implementation of gaze-contingent, foveated video compression using a two-stream approach and written in Rust and C.
- ReBBR: Reproducing BBR congestion control performance in lossy networks.
- CribSense: A contactless, video-based baby monitor. Built using video magnification on a Raspberry Pi.
- Stanford EE Quals Resources: Study materials focused on hardware/software areas for new EE students.
- Robot Soccer: Autonomous, custom-made striker used to win the BYU robot soccer competition.
- Bomberman: An interactive display to use for outreach, built with a Raspberry Pi and a MakeyMakey.
- Space Invaders: Implemented in C using a MicroBlaze softprocessor.