News and Selected Papers
I have multiple
openings available for graduate students (with full financial support) and visiting scholars. Potential
research projects include, but are not limited to: intelligent systems, machine learning, etc.
Students can apply to the PhD program in either ECE or
CSE department at UCR. Prior experiences are not required. Please contact me if you're interested.
Learning and optimization
Robust learning for optimization
Learning for robust optimization: INFOCOM’22
Learning-assisted online algorithm unrolling: AAAI’23
Knowledge-informed and continual learning: ICML’22, NeurIPS’22
Ultra-efficient ML for edge inference
Brain-inspired low-dimensional computing classifiers: tinyML’22
It offers overwhelming advantages over state-of-the-art HDC classifiers: equal (or even higher)
accuracy, improved or comparable robustness, orders-of-magnitude smaller model size and bettter inference efficiency (latency and energy).
Scalable neural architecture search: SIGMETRICS’22
(Webpage, GitHub)
Computers, and warehouse-scale computers (a.k.a. data centers)
Projects
Contact
Shaolei Ren
Department of Electrical and Computer Engineering
University of California, Riverside
Office: Winston Chung Hall 319
Phone: 951-827-2260
E-mail: sren (AT) ece.ucr.edu
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