Bailu Ding

According to our database, Bailu Ding authored at least 22 papers between 2015 and 2026.

Collaborative distances:

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

2026

ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs.

Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, Minsoo Rhu

CoRR, February, 2026

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference.

Yaoqi Chen, Jinkai Zhang, Baotong Lu, Qianxi Zhang, Chengruidong Zhang, Jing Liu, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Cheng Li, Yuqing Yang, Fan Yang, Mao Yang

Proc. VLDB Endow., January, 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

I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server.

Hangdong Zhao, Yuanyuan Tian, Rana Alotaibi, Bailu Ding, Nicolas Bruno, Jesús Camacho-Rodríguez, Vassilis Papadimos, Ernesto Cervantes Juárez, César A. Galindo-Legaria, Carlo Curino

Proceedings of the 16th Conference on Innovative Data Systems Research, 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

RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference.

Yaoqi Chen, Jinkai Zhang, Baotong Lu, Qianxi Zhang, Chengruidong Zhang, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Jing Liu, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Yuqing Yang, Fan Yang, Mao Yang

CoRR, May, 2025

MINT: Multi-Vector Search Index Tuning.

Jiongli Zhu, Yue Wang, Bailu Ding, Philip A. Bernstein, Vivek R. Narasayya, Surajit Chaudhuri

CoRR, April, 2025

Retrieval with Learned Similarities.

Bailu Ding, Jiaqi Zhai

Proceedings of the ACM on Web Conference 2025, 2025

2024

Extensible Query Optimizers in Practice.

Bailu Ding, Vivek R. Narasayya, Surajit Chaudhuri

Found. Trends Databases, 2024

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu

CoRR, 2024

Efficient Retrieval with Learned Similarities.

Bailu Ding, Jiaqi Zhai

CoRR, 2024

2021

DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems.

Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek R. Narasayya

Proc. VLDB Endow., 2021

2020

Bitvector-aware Query Optimization for Decision Support Queries (extended version).

Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya

CoRR, 2020

Active Learning for ML Enhanced Database Systems.

Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan

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

Bitvector-aware Query Optimization for Decision Support Queries.

Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya

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

2019

AI Meets AI: Leveraging Query Executions to Improve Index Recommendations.

Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya

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

Fast Approximation of Empirical Entropy via Subsampling.

Chi Wang, Bailu Ding

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering.

Bailu Ding, Lucja Kot, Johannes Gehrke

Proc. VLDB Endow., 2018

Plan Stitch: Harnessing the Best of Many Plans.

Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya

Proc. VLDB Endow., 2018

2015

Optimizing Optimistic Concurrency Control for Tree-Structured, Log-Structured Databases.

Philip A. Bernstein, Sudipto Das, Bailu Ding, Markus Pilman

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

The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis.

Sudip Roy, Lucja Kot, Gabriel Bender, Bailu Ding, Hossein Hojjat, Christoph Koch, Nate Foster, Johannes Gehrke

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

Centiman: elastic, high performance optimistic concurrency control by watermarking.

Bailu Ding, Lucja Kot, Alan J. Demers, Johannes Gehrke

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015