Yinan Li

According to our database, Yinan Li authored at least 22 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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, Lukas M. Maas, Craig Peeper, Surajit Chaudhuri, Johannes Gehrke

Proc. VLDB Endow., March, 2026

CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric.

Matteo Interlandi, Nicolas Bruno, Brandon Haynes, Carlo Curino, Rathijit Sen, Yinan Li, Kaushik Rajan, Bailu Ding, Lukas M. Maas, Wei Cui, Kevin Gaffney, Mingsheng Hong, Brian Kroth, Sampath Rajendra, Peng Cheng, Surajit Chaudhuri, Johannes Gehrke, Raghu Ramakrishnan, Lidong Zhou, Momin Al-Ghosien, Craig Peeper, Marius Dumitru, Conor Cunningham, Kevin Bocksrocker, Prasanna Sundar, Ron Boskovic, YongChul Kwon, Marko Zivanovic, Runbin Shi, Krystian Sakowski, Denis Lamtsov, Josep Aguilar-Saborit, Krish Srinivasan, Adarsh Kapil, Andrew Putnam, Anudeep Kambapu, Aparna Konduri, Aaron Landy, Aaron Moore, Aaron Pitman, Artem Oks, Ashit Gosalia, Babu Kandimalla, Blake Pelton, Bogdan Crivat, César A. Galindo-Legaria, Chidamber Kulkarni, Jesús Camacho-Rodríguez, Evgeny Babin, Hans Lehnert Marino, Igor Konev, Israel Arroyo, Luis Peñaranda, Mandar Datar, Morten Borup Petersen, Nicholas Simmons, Parminder Poonian, Pravija Danda, Rob Rydberg, Esteban Calvo Vargas, Ronak Bajaj, Sai Sumanth Kammal Shetty, Sharanya Bhat, Zach Iracheta

Proceedings of the Companion of the International Conference on Management of Data, 2026

2025

Scaling GPU-Accelerated Databases beyond GPU Memory Size.

Yinan Li, Bailu Ding, Ziyun Wei, Lukas M. Maas, Momin Al-Ghosien, Spyros Blanas, Nicolas Bruno, Carlo Curino, Matteo Interlandi, Craig Peeper, Kaushik Rajan, Surajit Chaudhuri, Johannes Gehrke

Proc. VLDB Endow., July, 2025

2023

Selection Pushdown in Column Stores using Bit Manipulation Instructions.

Yinan Li, Jianan Lu, Badrish Chandramouli

Proc. ACM Manag. Data, 2023

Query Processing on Gaming Consoles.

Wei Cui, Qianxi Zhang, Spyros Blanas, Jesús Camacho-Rodríguez, Brandon Haynes, Yinan Li, Ravi Ramamurthy, Peng Cheng, Rathijit Sen, Matteo Interlandi

Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

2021

Instance-Optimized Data Layouts for Cloud Analytics Workloads.

Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Qd-tree: Learning Data Layouts for Big Data Analytics.

Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya

Proceedings of the 2020 International Conference on Management of Data, 2020

ALEX: An Updatable Adaptive Learned Index.

Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

FishStore: Fast Ingestion and Indexing of Raw Data.

Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann

Proc. VLDB Endow., 2019

ALEX: An Updatable Adaptive Learned Index.

Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet

CoRR, 2019

FishStore: Faster Ingestion with Subset Hashing.

Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann

Proceedings of the 2019 International Conference on Management of Data, 2019

Speculative Distributed CSV Data Parsing for Big Data Analytics.

Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Impatience Is a Virtue: Revisiting Disorder in High-Performance Log Analytics.

Badrish Chandramouli, Jonathan Goldstein, Yinan Li

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Mison: A Fast JSON Parser for Data Analytics.

Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann

Proc. VLDB Endow., 2017

2015

Implications of Emerging 3D GPU Architecture on the Scan Primitive.

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood

SIGMOD Rec., 2015

A Padded Encoding Scheme to Accelerate Scans by Leveraging Skew.

Yinan Li, Craig Chasseur, Jignesh M. Patel

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries.

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood

Proceedings of the 11th International Workshop on Data Management on New Hardware, 2015

2014

WideTable: An Accelerator for Analytical Data Processing.

Yinan Li, Jignesh M. Patel

Proc. VLDB Endow., 2014

2013

Enabling JSON Document Stores in Relational Systems.

Craig Chasseur, Yinan Li, Jignesh M. Patel

Proceedings of the 16th International Workshop on the Web and Databases 2013, 2013

BitWeaving: fast scans for main memory data processing.

Yinan Li, Jignesh M. Patel

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2011

WHAM: a high-throughput sequence alignment method.

Yinan Li, Allison Terrell, Jignesh M. Patel

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Design and evaluation of main memory hash join algorithms for multi-core CPUs.

Spyros Blanas, Yinan Li, Jignesh M. Patel

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011