Beidi Chen

Duncan Hall #3117, 6100 Main St, Houston, TX 77005 ยท beidi.chen@rice.edu

I'm a Ph.D. student in Computer Science at Rice University under the supervision of Dr. Anshumali Shrivastava. I received my B.S. from University of California, Berkeley in 2015. My mentors were Dr. Sara Alspaugh, Dr. Kaifei Chen and my advisor was Dr. Randy Katz.

My research focuses on large-scale machine learning. Specifically, I design and optimize randomized hashing algorithms for efficient, accurate and secure representation of data.

Research

Hashing for Optimization

Beidi Chen, Yingchen Xu, and Anshumali Shrivastava. "LSH-SAMPLING BREAKS THE COMPUTATIONAL CHICKEN-AND-EGG LOOP IN ADAPTIVE STOCHASTIC GRADIENT ESTIMATION."

Privacy Preserving Hashing Algorithms

Beidi Chen, M. Sadegh Riazi, Anshumali Shrivastava, DanWallach, Farinaz Koushanfar. "Sub-linear Privacy-preserving Search with Untrusted Server and Semi-honest Parties".

Accuracy Optimization on Hashing Algorithms

Beidi Chen, Anshumali Shrivastava. " Revisiting Winner Take All (WTA) Hashing for Sparse Datasets". In Proceedings of the 34th Conference in Uncertainty in Artificial Intelligence, Aug. 2018. Monterey, California.

LSH for Unique Entity Estimation

Beidi Chen, Anshumali Shrivastava, Rebecca C. Steorts. "Unique Entity Estimation with Application to the Syrian Conflict". The Annals of Applied Statistics 12.2 (2018). (Also Won IISA 2018 Best Student Paper in Applied Statistics with this paper.)

Software Defined Buildings

Kaifei Chen, Siyuan He, Beidi Chen, John Kolb, Randy H. Katz, David E. Culler. "BearLoc: A Composable Distributed Framework for Indoor Localization Systems". In Proceedings of the 2015 Workshop on IoT challenges in Mobile and Industrial Systems, IoT-Sys@MobiSys 2015, pages 7-12, May. 2015. Florence, Italy.

User Log Mining

S. Alspaugh, Beidi Chen, Jessica Lin, Archana Ganapathi, Marti Hearst, and Randy Katz. "Analyzing Log Analysis: An Empirical Study of User Log Mining". In Proceedings of the 28th Large Installation System Administration Conference (LISA14), pages 62-77, Nov. 2014. Seattle, WA. (Best Student Paper)

Experience

Applied Scientist Intern

A9.com, Palo Alto, CA

May 2018 - Present

Applied Scientist Intern

Amazon Web Services, Inc., Palo Alto, CA
March 2017 - June 2017

Software Engineering Intern

Apple Inc., Cupertino, CA

Feb 2015 - Aug 2015

Research and Development Intern

VMware Inc., Palo Alto, CA

May 2014 - Aug 2014

Software Engineering Intern

Broadcom Corporation, Sunnyvale, CA

May 2013 - Aug 2013

Education

Rice University

Doctor of Philosophy
Computer Science
August 2015 - Present

University of California, Berkeley

Bachelor of Science
Electrical Engineering and Computer Science
August 2011 - May 2015

Wuhan Foreign Languages School

High School
Sep 2008 - June 2011

Honors and Awards

  • IISA 2018 Best Student Paper Award
  • Ken Kennedy Institute for Information Technology 2017 Fellowship
  • USENIX LISA 2014 Best Student Paper Award
  • ANITA BORG INSTITUTE GHC Scholarship 2014
  • Qualcomm Undergraduate Experiences in Science & Technology Scholar 2013

Invited Talks

Record Linkage workshop at CIMAT [webpage]

IISA2018 Conference

JSM 2018 Topic-Contributed Session(Upcoming)

Service

Reviewer for NIPS 2016

Reviewer for AAAI 2018