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2020 – today
- 2025
[j5]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:
Scaling GPU-Accelerated Databases beyond GPU Memory Size. Proc. VLDB Endow. 18(11): 4518-4531 (2025)- [c8]Bailu Ding
, Jiaqi Zhai:
Retrieval with Learned Similarities. WWW 2025: 1626-1637 - [i5]Jiongli Zhu, Yue Wang, Bailu Ding, Philip A. Bernstein, Vivek R. Narasayya, Surajit Chaudhuri:
MINT: Multi-Vector Search Index Tuning. CoRR abs/2504.20018 (2025) - [i4]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:
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference. CoRR abs/2505.02922 (2025) - 2024
- [j4]Bailu Ding, Vivek R. Narasayya, Surajit Chaudhuri:
Extensible Query Optimizers in Practice. Found. Trends Databases 14(3-4): 186-402 (2024) - [i3]Bailu Ding, Jiaqi Zhai:
Efficient Retrieval with Learned Similarities. CoRR abs/2407.15462 (2024) - [i2]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:
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval. CoRR abs/2409.10516 (2024) - 2021
- [j3]Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek R. Narasayya:
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems. Proc. VLDB Endow. 14(13): 3376-3388 (2021) - 2020
- [c7]Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan:
Active Learning for ML Enhanced Database Systems. SIGMOD Conference 2020: 175-191 - [c6]Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya:
Bitvector-aware Query Optimization for Decision Support Queries. SIGMOD Conference 2020: 2011-2026 - [i1]Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya:
Bitvector-aware Query Optimization for Decision Support Queries (extended version). CoRR abs/2005.03328 (2020)
2010 – 2019
- 2019
- [c5]Chi Wang, Bailu Ding:
Fast Approximation of Empirical Entropy via Subsampling. KDD 2019: 658-667 - [c4]Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya:
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations. SIGMOD Conference 2019: 1241-1258 - 2018
- [j2]Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya:
Plan Stitch: Harnessing the Best of Many Plans. Proc. VLDB Endow. 11(10): 1123-1136 (2018) - [j1]Bailu Ding, Lucja Kot, Johannes Gehrke:
Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering. Proc. VLDB Endow. 12(2): 169-182 (2018) - 2015
- [c3]Bailu Ding, Lucja Kot, Alan J. Demers, Johannes Gehrke:
Centiman: elastic, high performance optimistic concurrency control by watermarking. SoCC 2015: 262-275 - [c2]Philip A. Bernstein, Sudipto Das, Bailu Ding, Markus Pilman:
Optimizing Optimistic Concurrency Control for Tree-Structured, Log-Structured Databases. SIGMOD Conference 2015: 1295-1309 - [c1]Sudip Roy, Lucja Kot, Gabriel Bender, Bailu Ding, Hossein Hojjat, Christoph Koch, Nate Foster, Johannes Gehrke:
The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis. SIGMOD Conference 2015: 1311-1326
Coauthor Index
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