Rehashing Kernel Evaluation in High Dimensions
Paris Siminelakis*, Kexin Rong*, Peter Bailis, Moses Charikar, Philip Levis.
ICML 2019. Long talk.
[blog][code]

CrossTrainer: Practical Domain Adaptation with Loss Reweighting
Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis.
SIGMOD DEEM Workshop 2019.
[code]

Unsupervised Largeā€Scale Search for Similar Earthquake Signals
Clara E Yoon, Karianne J Bergen, Kexin Rong, Hashem Elezabi, William L Ellsworth, Gregory C Beroza, Peter Bailis, Philip Levis.
Bulletin of the Seismological Society of America 2019.

MacroBase: Prioritizing Attention in Fast Data
Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri. (* Alphabetical order)
ACM TODS, 2018.

Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science
Kexin Rong, Clara Yoon, Karianne Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, Gregory Beroza.
VLDB 2018.
[blog][video][code]

MacroBase: Prioritizing Attention in Fast Data
Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri.
SIGMOD 2017. Invited to ACM TODS "Best of SIGMOD 2017" Special Issue.
[website][code]

Prioritizing Attention in Fast Data: Principles and Promise
Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri.
CIDR 2017.
[blog]