Yan Li's Home Page
About Yan
Ph.D. Systems and Deep Learning Researcher. Inventor. Founder. Yan focuses on computer performance tuning using machine learning and artificial intelligence. Yan's Ph.D. advisor was Professor Darrell Long. Yan has an Erdős number of 3.
For more information, please read:
News & Recent publications
- Yan Li, Kenneth Chang, Oceane Bel, Ethan L. Miller, Darrell D. E. Long. CAPES: Unsupervised Storage Performance Tuning Using Neural Network-Based Deep Reinforcement Learning. The 2017 International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), Denver, CO, USA: November 13--16, 2017. Paper. Slides.
- Yan Li, Yash Gupta, Ethan L. Miller, Darrell D. E. Long. Pilot: A Framework that Understands How to Do Performance Benchmarks The Right Way. IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2016), London, UK: September 19--21, 2016
- Yan Li, Xiaoyuan Lu, Ethan L. Miller, Darrell D. E. Long. ASCAR: Automating Contention Management for High-Performance Storage Systems. 31st International Conference on Massive Storage Systems and Technologies (MSST 2015), Santa Clara, CA, USA: May 30--June 5, 2015
- Yan Li has won the 2014 Symantec Research Labs Graduate Fellowship
- Yan Li, Nakul Sanjay Dhotre, Yasuhiro Ohara, Thomas M. Kroeger, Ethan L. Miller, Darrell D. E. Long. "Horus: Fine-Grained Encryption-Based Security for Large-Scale Storage," Proceedings of the 11th USENIX Conference on File and Storage Technologies (FAST '13), Usenix Association, February 12-15, 2013.
For a detailed list of all my publications, please read my
CV.
Previous employers:
- Research Intern at TurboStor, Fremont
- Research Intern at Symantec Research Labs, Mountain View
- Intern at IBM Almaden Research Center, San Jose
- Intern at Google, Mountain View
- Full-time employee at the Intel China Research Center, Intel
- Full-time employee at the China System and Technology Lab, IBM
Other work
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