Kai Li
Systems and Circuits ; Theory and Computation
Systems and Circuits ; Theory and Computation

Paul M. Wythes '55 P86 and Marcia R. Wythes P86 Professor in Computer Science

Associated Faculty in the Department of Electrical Engineering
Ph.D. Yale University, 1986.

Areas of Research: computer architecture, operating systems, parallel systems, and networkingcomputer architecture, operating systems, parallel systems, and networking.
li@cs.princeton.edu
Research Lab
PDF icon kai-li-cv.pdf
609-258-4637
321 Computer Science Building.

Faculty Assistant:
Barbara J. Varga
bjvarga@cs.princeton.edu
609-258-4651

Research Focus

My main research interests are in parallel computer architecture, operating systems, storage systems, analytics and systems for multimedia sensor data, genomic data, neuroscience data, and health care data, My current research projects include ImageNet, CASS (Content-Aware Search Systems for feature rich data), FCMA (Full Correlation Matrix Analysis of fMRI data), and SEEK (Search-Based Exploration of Expression Compendium).

Professor Li is noted for his pioneering contributions to Distributed Shared Memory (DSM) and co-founding the leading storage deduplication company Data Domain Inc. which was acquired by EMC Corporation in 2009.

Read more about Professor Li.


Selected Publications

  • Qian Zhu, Aaron K Wong, Arjun Krishnan, Miriam R Aure, Alicja Tadych, Ran Zhang, David C Corney, Casey S Greene, Lars A Bongo, Vessela N Kristensen, Moses Charikar, Kai Li & Olga G Troyanskaya. Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nature Methods 12, 211–214 (2015) doi:10.1038/nmeth.3249.
  • Wei Dong, Kai Li, Zhe Wang. High Confidence Near-Duplicate Image Detection. ACM International Conference on Multimedia Retrieval (ICMR), 2012.
  • Gala Yadgar, Michael Factor, Kai Li and Assaf Schuster. Management of Multilevel, Multiclient Cache Hierarchies with Application Hints. ACM Transactions on Computer Systems (TOCS). Volume 29 Issue 2, May 2011.
  • Wei Dong, Moses Charikar, Kai Li. Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures. In Proceedings of the 20th International World Wide Web Conference. Hyderabad, India. March 2011.
  • Christian Bienia and Kai Li. Fidelity and Scaling of the PARSEC Benchmark Inputs. In Proceedings of the 2010 IEEE International Symposium on Workload Characterization, December 2010.
  • Jia Deng, Alex Berg, Kai Li and Li Fei-Fei. What does classifying more than 10,000 image categories tell us? European Conference on Computer Vision, September 2010.