Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
Bailu Ding
Principal Researcher
Publications
Publications by Year
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
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Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
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Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
Bailu Ding, Lucja Kot, Johannes Gehrke
Proceedings of the VLDB Endowment (VLDB 2019) | January 2019
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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Centiman: Elastic, high performance optimistic concurrency control by watermarking
Bailu Ding, Lucja Kot, Alan Demers, Johannes Gehrke
Proceedings of the Sixth ACM Symposium on Cloud Computing | July 2015
Optimizing optimistic concurrency control for tree-structured, log-structured databases
Phil Bernstein, Sudipto Das, Bailu Ding, Markus Pilman
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 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 | July 2015
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Who Talks to Whom: Modeling Latent Structures in Dialogue Documents
Bailu Ding, Jiang-Ming Yang, Chong Wang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang
NIPS Workshop on Applications for Topic Models: Text and Beyond | July 2009
Publications by Research Area
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Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
Bailu Ding, Lucja Kot, Johannes Gehrke
Proceedings of the VLDB Endowment (VLDB 2019) | January 2019
Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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 | July 2015
Optimizing optimistic concurrency control for tree-structured, log-structured databases
Phil Bernstein, Sudipto Das, Bailu Ding, Markus Pilman
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
Centiman: Elastic, high performance optimistic concurrency control by watermarking
Bailu Ding, Lucja Kot, Alan Demers, Johannes Gehrke
Proceedings of the Sixth ACM Symposium on Cloud Computing | July 2015
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Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Who Talks to Whom: Modeling Latent Structures in Dialogue Documents
Bailu Ding, Jiang-Ming Yang, Chong Wang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang
NIPS Workshop on Applications for Topic Models: Text and Beyond | July 2009
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RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
-
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
-
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
Publications by Type
-
Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
-
Retrieval with Learned Similarities
Bailu Ding, Jiaqi Zhai
The Web Conference (WWW 2025) | April 2025
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
Fast Approximation of Empirical Entropy via Subsampling
Chi Wang, Bailu Ding
25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering
Bailu Ding, Lucja Kot, Johannes Gehrke
Proceedings of the VLDB Endowment (VLDB 2019) | January 2019
Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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 | July 2015
Optimizing optimistic concurrency control for tree-structured, log-structured databases
Phil Bernstein, Sudipto Das, Bailu Ding, Markus Pilman
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data | July 2015
Centiman: Elastic, high performance optimistic concurrency control by watermarking
Bailu Ding, Lucja Kot, Alan Demers, Johannes Gehrke
Proceedings of the Sixth ACM Symposium on Cloud Computing | July 2015
Who Talks to Whom: Modeling Latent Structures in Dialogue Documents
Bailu Ding, Jiang-Ming Yang, Chong Wang, Rui Cai, Zhiwei Li (李志伟), Lei Zhang
NIPS Workshop on Applications for Topic Models: Text and Beyond | July 2009
-
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft