A feasibility study of early detection of lung cancer by saliva test using Surface Enhanced Raman scattering. - Yan Wang; Zijian Cui; Wenxin Zheng; Anyu Chen; Hong Wang; Xun Guo; Chunwei Liu (BMEI, 2012)

Parallel Map Matching on Massive Vehicle GPS Data Using MapReduce. - Jian Huang; Shaoqing Qiao; Haitao Yu 008; Jinhui Qie; Chunwei Liu (HPCC/EUC, 2013)

Developing Map Matching Algorithm for Transportation Data Center. - Jian Huang; Chunwei Liu; Jinhui Qie (3PGCIC, 2014)

Cloud computing-based map-matching for transportation data center. - Jian Huang; Jinhui Qie; Chunwei Liu; Siyang Li; Jingnong Weng; Weifeng Lv (Electron. Commer. Res. Appl., 2015)

Mostly Order Preserving Dictionaries. - Chunwei Liu; McKade Umbenhower; Hao Jiang 021; Pranav Subramaniam; Jihong Ma; Aaron J. Elmore (ICDE, 2019)

Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. - John Paparrizos; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (SIGMOD Conference, 2020)

PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage. - Hao Jiang 021; Chunwei Liu; Qi Jin; John Paparrizos; Aaron J. Elmore (Proc. VLDB Endow., 2020)

VergeDB: A Database for IoT Analytics on Edge Devices. - John Paparrizos; Chunwei Liu; Bruno Barbarioli; Johnny Hwang; Ikraduya Edian; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (CIDR, 2021)

Good to the Last Bit: Data-Driven Encoding with CodecDB. - Hao Jiang 021; Chunwei Liu; John Paparrizos; Andrew A. Chien; Jihong Ma; Aaron J. Elmore (SIGMOD Conference, 2021)

Decomposed Bounded Floats for Fast Compression and Queries. - Chunwei Liu; Hao Jiang 021; John Paparrizos; Aaron J. Elmore (Proc. VLDB Endow., 2021)

Fast Adaptive Similarity Search through Variance-Aware Quantization. - John Paparrizos; Ikraduya Edian; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (ICDE, 2022)

SEED: Simple, Efficient, and Effective Data Management via Large Language Models. - Zui Chen; Lei Cao 004; Sam Madden 001; Ju Fan; Nan Tang 001; Zihui Gu; Zeyuan Shang; Chunwei Liu; Michael J. Cafarella; Tim Kraska (CoRR, 2023)

Querying Time-Series Data: A Comprehensive Comparison of Distance Measures. - John Paparrizos; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (IEEE Data Eng. Bull., 2023)

A Deep Dive into Common Open Formats for Analytical DBMSs. - Chunwei Liu; Anna Pavlenko; Matteo Interlandi; Brandon Haynes (Proc. VLDB Endow., 2023)

MDCR: A Dataset for Multi-Document Conditional Reasoning. - Peter Baile Chen; Yi Zhang 001; Chunwei Liu; Sejal Gupta; Yoon Kim; Mike Cafarella (EMNLP (Findings), 2024)

Press ECCS to Doubt (Your Causal Graph). - Markos Markakis; Ziyu Zhang 002; Rana Shahout; Trinity Gao; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (GUIDE-AI@SIGMOD, 2024)

AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices. - Chunwei Liu; John Paparrizos; Aaron J. Elmore (ICDE, 2024)

Sawmill: From Logs to Causal Diagnosis of Large Systems. - Markos Markakis; An Bo Chen; Brit Youngmann; Trinity Gao; Ziyu Zhang 002; Rana Shahout; Peter Baile Chen; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (SIGMOD Conference Companion, 2024)

A Declarative System for Optimizing AI Workloads. - Chunwei Liu; Matthew Russo; Michael J. Cafarella; Lei Cao 004; Peter Baile Chen; Zui Chen; Michael J. Franklin; Tim Kraska; Samuel Madden 001; Gerardo Vitagliano (CoRR, 2024)

Variable Extraction for Model Recovery in Scientific Literature. - Chunwei Liu; Enrique Noriega-Atala; Adarsh Pyarelal; Clayton T. Morrison; Mike Cafarella (CoRR, 2024)

From Logs to Causal Inference: Diagnosing Large Systems. - Markos Markakis; Brit Youngmann; Trinity Gao; Ziyu Zhang 002; Rana Shahout; Peter Baile Chen; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (Proc. VLDB Endow., 2024)

Don't stop me Now: Embedding based Scheduling for LLMS. - Rana Shahout; Eran Malach; Chunwei Liu; Weifan Jiang; Minlan Yu; Michael Mitzenmacher (ICLR, 2025)

PalimpChat: Declarative and Interactive AI analytics. - Chunwei Liu; Gerardo Vitagliano; Brandon Rose; Matthew Printz; David Andrew Samson; Michael J. Cafarella (SIGMOD Conference Companion, 2025)

First Workshop on Novel Optimizations for Visionary AI Systems (NOVAS). - Gerardo Vitagliano; Chunwei Liu; Lei Cao 004; Huan Sun 001; Paolo Papotti (SIGMOD Conference Companion, 2025)

Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended. - Ziniu Wu; Markos Markakis; Chunwei Liu; Peter Baile Chen; Balakrishnan Narayanaswamy; Tim Kraska; Samuel Madden 001 (CoRR, 2025)

PalimpChat: Declarative and Interactive AI analytics. - Chunwei Liu; Gerardo Vitagliano; Brandon Rose; Matt Prinz; David Andrew Samson; Michael J. Cafarella (CoRR, 2025)

Abacus: A Cost-Based Optimizer for Semantic Operator Systems. - Matthew Russo; Sivaprasad Sudhir; Gerardo Vitagliano; Chunwei Liu; Tim Kraska; Samuel Madden 001; Michael J. Cafarella (CoRR, 2025)

Data formats in analytical DBMSs: performance trade-offs and future directions. - Chunwei Liu; Anna Pavlenko; Matteo Interlandi; Brandon Haynes (VLDB J., 2025)

PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking. - Yan Zhou; Chunwei Liu; Bhuvan Urgaonkar; Zhengle Wang; Magnus Mueller; Chao Zhang 034; Songyue Zhang; Pascal Pfeil; Dominik Horn; Zhengchun Liu; Davide Pagano; Tim Kraska; et al. (CoRR, 2025)