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ORCIDKexin Rong 0001
Person information
- affiliation: Georgia Institute of Technology, GA, USA
- affiliation (Ph.D.): Stanford University, CA, USA
Other persons with the same name
- Kexin Rong 0002 — Zhejiang Normal University, Jinhua, China
- Kexin Rong 0003 — Harbin Institute of Technology, Harbin, China
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2020 – today
- 2023
[j5]Peng Li
, Zhiyi Chen, Xu Chu, Kexin Rong:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. Proc. ACM Manag. Data 1(2): 183:1-183:26 (2023)- [i7]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 abs/2306.11800 (2023) - [i6]Renzhi Wu, Jingfan Meng, Jie Jeff Xu, Huayi Wang, Kexin Rong:
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data. CoRR abs/2308.00909 (2023) - [i5]Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong:
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. CoRR abs/2308.10915 (2023) - 2021
- [b1]Kexin Rong:
Improving computational and human efficiency in large-scale data analytics. Stanford University, USA, 2021 - 2020
- [j4]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): 2606-2619 (2020) - [i4]Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, Philip Alexander Levis:
Approximate Partition Selection for Big-Data Workloads using Summary Statistics. CoRR abs/2008.10569 (2020)
2010 – 2019
- 2019
- [c5]Paris Siminelakis, Kexin Rong, Peter Bailis, Moses Charikar, Philip Alexander Levis:
Rehashing Kernel Evaluation in High Dimensions. ICML 2019: 5789-5798 - [c4]Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis:
CrossTrainer: Practical Domain Adaptation with Loss Reweighting. DEEM@SIGMOD 2019: 2:1-2:10 - [i3]Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis:
CrossTrainer: Practical Domain Adaptation with Loss Reweighting. CoRR abs/1905.02304 (2019) - 2018
- [j3]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): 1674-1687 (2018) - [j2]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): 15:1-15:45 (2018) - [i2]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 abs/1803.09835 (2018) - 2017
- [j1]Kexin Rong, Peter Bailis:
ASAP: Prioritizing Attention via Time Series Smoothing. Proc. VLDB Endow. 10(11): 1358-1369 (2017) - [c3]Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri:
Prioritizing Attention in Analytic Monitoring. CIDR 2017 - [c2]Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri:
MacroBase: Prioritizing Attention in Fast Data. SIGMOD Conference 2017: 541-556 - [c1]Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri:
Demonstration: MacroBase, A Fast Data Analysis Engine. SIGMOD Conference 2017: 1699-1702 - [i1]Kexin Rong, Peter Bailis:
ASAP: Automatic Smoothing for Attention Prioritization in Streaming Time Series Visualization. CoRR abs/1703.00983 (2017)
Coauthor Index
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last updated on 2023-09-27 22:41 CEST by the dblp team
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