Kexin Rong

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Streaming Time Series

Summary Statistics

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. CoRR (2023)
Yujing Zhao, Xiaowei Chu, Kexin Rong
Cyberbullying experience and bystander behavior in cyberbullying incidents: The serial mediating roles of perceived incident severity and empathy. Comput. Hum. Behav. 138 (2023)
Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis
Approximate Partition Selection for Big-Data Workloads using Summary Statistics. Proc. VLDB Endow. 13 (11) (2020)
Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis
Approximate Partition Selection for Big-Data Workloads using Summary Statistics. CoRR (2020)
Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
CrossTrainer: Practical Domain Adaptation with Loss Reweighting. CoRR (2019)
Paris Siminelakis, Kexin Rong, Peter Bailis, Moses Charikar, Philip Alexander Levis
Rehashing Kernel Evaluation in High Dimensions. ICML (2019)
Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
CrossTrainer: Practical Domain Adaptation with Loss Reweighting. DEEM@SIGMOD (2019)
Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Alexander Levis, Gregory C. Beroza
Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science. CoRR (2018)
Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi, Peter Bailis, Philip Alexander Levis, Gregory C. Beroza
Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science. Proc. VLDB Endow. 11 (11) (2018)
Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri
MacroBase: Prioritizing Attention in Fast Data. ACM Trans. Database Syst. 43 (4) (2018)
Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri
MacroBase: Prioritizing Attention in Fast Data. SIGMOD Conference (2017)
Kexin Rong, Peter Bailis
ASAP: Automatic Smoothing for Attention Prioritization in Streaming Time Series Visualization. CoRR (2017)
Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri
Prioritizing Attention in Analytic Monitoring. CIDR (2017)
Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri
Demonstration: MacroBase, A Fast Data Analysis Engine. SIGMOD Conference (2017)
Kexin Rong, Peter Bailis
ASAP: Prioritizing Attention via Time Series Smoothing. Proc. VLDB Endow. 10 (11) (2017)