Design and evaluation of main memory hash join algorithms for multi-core CPUs. - Spyros Blanas; Yinan Li 009; Jignesh M. Patel (SIGMOD Conference, 2011)

WHAM: a high-throughput sequence alignment method. - Yinan Li 009; Allison Terrell; Jignesh M. Patel (SIGMOD Conference, 2011)

BitWeaving: fast scans for main memory data processing. - Yinan Li 009; Jignesh M. Patel (SIGMOD Conference, 2013)

Enabling JSON Document Stores in Relational Systems. - Craig Chasseur; Yinan Li 009; Jignesh M. Patel (WebDB, 2013)

WideTable: An Accelerator for Analytical Data Processing. - Yinan Li 009; Jignesh M. Patel (Proc. VLDB Endow., 2014)

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries. - Jason Power; Yinan Li 009; Mark D. Hill; Jignesh M. Patel; David A. Wood 001 (DaMoN, 2015)

A Padded Encoding Scheme to Accelerate Scans by Leveraging Skew. - Yinan Li 009; Craig Chasseur; Jignesh M. Patel (SIGMOD Conference, 2015)

Implications of Emerging 3D GPU Architecture on the Scan Primitive. - Jason Power; Yinan Li 009; Mark D. Hill; Jignesh M. Patel; David A. Wood 001 (SIGMOD Rec., 2015)

Mison: A Fast JSON Parser for Data Analytics. - Yinan Li 009; Nikos R. Katsipoulakis; Badrish Chandramouli; Jonathan Goldstein; Donald Kossmann (Proc. VLDB Endow., 2017)

Impatience Is a Virtue: Revisiting Disorder in High-Performance Log Analytics. - Badrish Chandramouli; Jonathan Goldstein; Yinan Li 009 (ICDE, 2018)

Speculative Distributed CSV Data Parsing for Big Data Analytics. - Chang Ge 002; Yinan Li 009; Eric Eilebrecht; Badrish Chandramouli; Donald Kossmann (SIGMOD Conference, 2019)

FishStore: Faster Ingestion with Subset Hashing. - Dong Xie 001; Badrish Chandramouli; Yinan Li 009; Donald Kossmann (SIGMOD Conference, 2019)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Hantian Zhang; Yinan Li 009; Chi Wang 001; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet (CoRR, 2019)

FishStore: Fast Ingestion and Indexing of Raw Data. - Badrish Chandramouli; Dong Xie 001; Yinan Li 009; Donald Kossmann (Proc. VLDB Endow., 2019)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Jia Yu 001; Chi Wang 001; Jaeyoung Do; Yinan Li 009; Hantian Zhang; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet; Tim Kraska (SIGMOD Conference, 2020)

Qd-tree: Learning Data Layouts for Big Data Analytics. - Zongheng Yang; Badrish Chandramouli; Chi Wang 001; Johannes Gehrke; Yinan Li 009; Umar Farooq Minhas; Per-Åke Larson; Donald Kossmann; Rajeev Acharya (SIGMOD Conference, 2020)

Instance-Optimized Data Layouts for Cloud Analytics Workloads. - Jialin Ding 001; Umar Farooq Minhas; Badrish Chandramouli; Chi Wang 001; Yinan Li 009; Ying Li; Donald Kossmann; Johannes Gehrke; Tim Kraska (SIGMOD Conference, 2021)

Query Processing on Gaming Consoles. - Wei Cui; Qianxi Zhang; Spyros Blanas; Jesús Camacho-Rodríguez; Brandon Haynes; Yinan Li 009; Ravi Ramamurthy; Peng Cheng 005; Rathijit Sen; Matteo Interlandi (DaMoN, 2023)

Selection Pushdown in Column Stores using Bit Manipulation Instructions. - Yinan Li 009; Jianan Lu; Badrish Chandramouli (Proc. ACM Manag. Data, 2023)

Scaling GPU-Accelerated Databases beyond GPU Memory Size. - Yinan Li 009; Bailu Ding; Ziyun Wei; Lukas M. Maas; Momin Al-Ghosien; Spyros Blanas; Nicolas Bruno; Carlo Curino; Matteo Interlandi; Craig Peeper; Kaushik Rajan; Surajit Chaudhuri; et al. (Proc. VLDB Endow., 2025)

CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric. - Matteo Interlandi; Nicolas Bruno; Brandon Haynes; Carlo Curino; Rathijit Sen; Yinan Li 009; Kaushik Rajan; Bailu Ding; Lukas M. Maas; Wei Cui; Kevin Gaffney; Mingsheng Hong; et al. (SIGMOD Companion, 2026)

Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization. - Kaushik Rajan; Sampath Rajendra; Momin Al-Ghosien; Nicolas Bruno; Carlo Curino; Matteo Interlandi; Yinan Li 009; Lukas M. Maas; Craig Peeper; Surajit Chaudhuri; Johannes Gehrke (Proc. VLDB Endow., 2026)