Prioritizing Attention in Analytic Monitoring. - Peter Bailis; Edward Gan; Kexin Rong 001; Sahaana Suri (CIDR, 2017)

MacroBase: Prioritizing Attention in Fast Data. - Peter Bailis; Edward Gan; Samuel Madden 001; Deepak Narayanan; Kexin Rong 001; Sahaana Suri (SIGMOD Conference, 2017)

Demonstration: MacroBase, A Fast Data Analysis Engine. - Peter Bailis; Edward Gan; Kexin Rong 001; Sahaana Suri (SIGMOD Conference, 2017)

ASAP: Automatic Smoothing for Attention Prioritization in Streaming Time Series Visualization. - Kexin Rong 001; Peter Bailis (CoRR, 2017)

ASAP: Prioritizing Attention via Time Series Smoothing. - Kexin Rong 001; Peter Bailis (Proc. VLDB Endow., 2017)

Locality-Sensitive Hashing for Earthquake Detection: A Case Study Scaling Data-Driven Science. - Kexin Rong 001; Clara E. Yoon; Karianne J. Bergen; Hashem Elezabi; Peter Bailis; Philip Alexander Levis; Gregory C. Beroza (Proc. VLDB Endow., 2018)

MacroBase: Prioritizing Attention in Fast Data. - Firas Abuzaid; Peter Bailis; Jialin Ding 001; Edward Gan; Samuel Madden 001; Deepak Narayanan; Kexin Rong 001; Sahaana Suri (ACM Trans. Database Syst., 2018)

Rehashing Kernel Evaluation in High Dimensions. - Paris Siminelakis; Kexin Rong 001; Peter Bailis; Moses Charikar; Philip Alexander Levis (ICML, 2019)

CrossTrainer: Practical Domain Adaptation with Loss Reweighting. - Justin Chen; Edward Gan; Kexin Rong 001; Sahaana Suri; Peter Bailis (DEEM@SIGMOD, 2019)

Approximate Partition Selection for Big-Data Workloads using Summary Statistics. - Kexin Rong 001; Yao Lu; Peter Bailis; Srikanth Kandula; Philip Alexander Levis (Proc. VLDB Endow., 2020)

Improving computational and human efficiency in large-scale data analytics. - Kexin Rong 001 (2021)

DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. - Amey Agrawal; Sameer Reddy; Satwik Bhattamishra; Venkata Prabhakara Sarath Nookala; Vidushi Vashishth; Kexin Rong 001; Alexey Tumanov (CoRR, 2023)

Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data. - Renzhi Wu; Jingfan Meng; Jie Jeff Xu; Huayi Wang; Kexin Rong 001 (CoRR, 2023)

DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. - Peng Li 062; Zhiyi Chen; Xu Chu 002; Kexin Rong 001 (Proc. ACM Manag. Data, 2023)

Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques. - Kexin Rong 001; Mihai Budiu; Athinagoras Skiadopoulos; Lalith Suresh 001; Amy Tai (Proc. VLDB Endow., 2023)

Interactive Demonstration of EVA. - Gaurav Tarlok Kakkar; Aryan Rajoria; Myna Prasanna Kalluraya; Ashmita Raju; Jiashen Cao; Kexin Rong 001; Joy Arulraj (Proc. VLDB Endow., 2023)

CanDE: A Lightweight Locality-Sensitive Hashing Add-on for Candidate-Based Distribution Estimation. - Jingfan Meng; Huayi Wang; Kexin Rong 001; Jun Xu (IEEE Big Data, 2024)

Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. - Amey Agrawal; Sameer Reddy; Satwik Bhattamishra; Venkata Prabhakara Sarath Nookala; Vidushi Vashishth; Kexin Rong 001; Alexey Tumanov (SoCC, 2024)

Dynamic Data Layout Optimization with Worst-Case Guarantees. - Kexin Rong 001; Paul Liu 001; Sarah Ashok Sonje; Moses Charikar (ICDE, 2024)

Lotus: Characterization of Machine Learning Preprocessing Pipelines via Framework and Hardware Profiling. - Rajveer Bachkaniwala; Harshith Lanka; Kexin Rong 001; Ada Gavrilovska (IISWC, 2024)

Eighth Workshop on Human-In-the-Loop Data Analytics (HILDA). - Jean-Daniel Fekete; Kexin Rong 001; Behrooz Omidvar-Tehrani; Roee Shraga (SIGMOD Conference Companion, 2024)

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. - Yao Lu; Song Bian 002; Lequn Chen 001; Yongjun He 004; Yulong Hui; Matthew Lentz; Beibin Li; Fei Liu; Jialin Li 001; Qi Liu; Rui Liu; Xiaoxuan Liu; et al. (CoRR, 2024)

Falcon: Fair Active Learning using Multi-armed Bandits. - Ki Hyun Tae; Hantian Zhang; Jaeyoung Park 003; Kexin Rong 001; Steven Euijong Whang (Proc. VLDB Endow., 2024)

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. - Renzhi Wu; Pramod Chunduri; Dristi J. Shah; Ashmitha Julius Aravind; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. VLDB Endow., 2024)

Demonstration of VCR: A Tabular Data Slicing Approach to Understanding Object Detection Model Performance. - Jie Jeff Xu; Saahir Dhanani; Jorge Henrique Piazentin Ono; Wenbin He; Liu Ren; Kexin Rong 001 (Proc. VLDB Endow., 2024)

SketchQL: Video Moment Querying with a Visual Query Interface. - Renzhi Wu; Pramod Chunduri; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. ACM Manag. Data, 2024)

Ninth Workshop on Human-In-the-Loop Data Analytics (HILDA). - Remco Chang; Kexin Rong 001; Roee Shraga (SIGMOD Conference Companion, 2025)

A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems. - Lew Lefton; Kexin Rong 001; Chinar Dankhara; Lila Ghemri; Firdous Kausar; A. Hannibal Hamdallahi (CoRR, 2025)

HoneyBee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning. - Hongbin Zhong; Matthew Lentz; Nina Narodytska; Adriana Szekeres; Kexin Rong 001 (CoRR, 2025)