Cheng Luo
Researcher at Caltech
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolCheng Luo is a researcher specializing in distributed machine learning systems and FPGA-accelerated DNN training with eight years of experience across academia and industry. He has driven research and prototype platforms at Microsoft Research Asia, Imperial College London, and Fudan University, and now holds research roles at Caltech and TikTok. Proficient in C++, Python, CUDA, Verilog and MaxJ, Cheng blends system-level distributed training design with hands-on custom hardware implementation for quantized neural networks. His work uniquely spans full-stack DNN workflows—from algorithmic quantization and model reconstruction to scalable training infrastructure—demonstrating an uncommon combination of FPGA hardware design and large-scale system engineering. Based in San Diego, he is fluent in English and experienced in cross-institution collaborations and international research exchanges.
8 years of coding experience
2 years of employment as a software developer
Summer exchange Artificial Intelligence, Summer exchange Artificial Intelligence at Technion - Israel Institute of TechnologyPHD student, PHD student at Fudan UniversityThe University of SydneyVisting PHD student High Performance Embedded and Distributed Systems (HiPEDS), Visting PHD student High Performance Embedded and Distributed Systems (HiPEDS) at Imperial College London
Github Skills (51)
transformers10
fourier-transform10
pytorch10
language-model10
python10
pde10
machine-learning10
seq2seq10
numpy10
flax10
neural-operator10
differential-equations10
deep-learning10
tensorflow10
gpu10
Programming languages (3)
Github contributions (5)
wdlctc/horovod
Sep 2019 - Sep 2019
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Contributions:242 pushes in 10 days
pytorchmxnetdeep-learningmachine-learningapache
wdlctc/QR-DNN
May 2018 - Jul 2018
Contributions:18 commits, 13 pushes, 1 branch in 1 month
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