Cost-Intelligent Data Analytics in the Cloud
Huanchen Zhang, Yihao Liu, and Jiaqi Yan
Proceedings of the 2024 Conference on Innovative Data Systems Research
(CIDR'24), January 2024.
LeCo: Lightweight Compression via Learning Serial Correlations
Yihao Liu, Xinyu Zeng, and Huanchen Zhang
Proceedings of the ACM on Management of Data
(SIGMOD'24), June 2024.
An Empirical Evaluation of Columnar Storage Formats
Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, and Huanchen Zhang
Proceedings of the VLDB Endowment
(VLDB'24), 17(2), pp. 148-161.
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models
Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, and Anqun Pan
Proceedings of the ACM on Management of Data
(SIGMOD'24), 1(4): Article 258, 25 pages.
AdaCom: Adaptive Compression For Databases
Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, and Alfons Kemper
To Appear in Proceedings of the 27th International Conference on Extending Database Technology
(EDBT'24), March 2024.
Compressed Data Direct Computing for Databases
Weitao Wan, Feng Zhang Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Chai, Huanchen Zhang, Wei Lu, Yuxing Chen, Haixiang Li, Anqun Pan, and Xiaoyong Du
To Appear in Transactions on Knowledge and Data Engineering
(TKDE'23).
Efficient Query Re-optimization with Judicious Subquery Selections
Junyi Zhao, Huanchen Zhang, and Yihan Gao
Proceedings of the ACM on Management of Data
(SIGMOD'23), 1(2), pp. 1-26.
When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories
Ke Wang, Guanqun Yang, YiWei Li, Huanchen Zhang, and Mingyu Gao
Proceedings of the ACM on Management of Data
(SIGMOD'23), 1(1), pp. 1-26.
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression
Zheng Chen, Feng Zhang, JiaWei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, and Xiaoyong Du
Proceedings of the ACM on Management of Data
(SIGMOD'23), 1(1), pp. 1-31.
Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases
Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, and Xiangyao Yu
Proceedings of the VLDB Endowment
(VLDB'23), 16(6), pp. 1235-1248.
REncoder: A Space-Time Efficient Range Filter with Local Encoder
Wang, Ziwei, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, and Bin Cui
Proceedings of the 39th IEEE International Conference on Data Engineering
(ICDE'23).
Adaptive Hybrid Indexes
Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, and Alfons Kemper
Proceedings of the 2022 International Conference on Management of Data
(SIGMOD'22), June 2022, pp. 1626-1639.
Proteus: A Self-Designing Range Filter
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
Proceedings of the 2022 International Conference on Management of Data
(SIGMOD'22), June 2022, pp. 1670-1684.
Succinct Range Filters
Huanchen Zhang, Hyeontaek Lim, Viktor Leis,
David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo
Communications of the ACM (CACM). 4 (April 2021): 166-173.
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems
Ling Zhang, Matthew Butrovich, Tianyu Li, Yash Nannapanei, Andrew Pavlo, John Rollinson, Huanchen Zhang
Proceedings of the Conference on Innovative Data Systems Research (CIDR'21), Jan. 2021.
Order-Preserving Key Compression for In-Memory Search Trees
[CODE]
Huanchen Zhang, Lily Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo
Proceedings of the 2020 International Conference on Management of Data
(SIGMOD'20), June 2020, pp. 1601-1615.
Memory-Efficient Search Trees for Database Management Systems
Ph.D. Dissertation, February 2020
Succinct Range Filters
Huanchen Zhang, Hyeontaek Lim, Viktor Leis,
David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo
ACM Transactions on Database Systems (TODS). 45.2 (2020): 1-31.
Succinct Range Filters
Huanchen Zhang, Hyeontaek Lim, Viktor Leis,
David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo
ACM SIGMOD Record. 48.1 (2019): 78-85.
SuRF: Practical Range Query Filtering with Fast Succinct Tries
[CODE]
  Awarded Best Paper!
Huanchen Zhang, Hyeontaek Lim, Viktor Leis,
David G. Andersen, Michael Kaminsky, Kimberly Keeton, and Andrew Pavlo
Proceedings of the 2018 International Conference on Management of Data
(SIGMOD'18), June 2018, pp. 323-336.
Building a Bw-Tree Takes More Than Just Buzz Words.
Ziqi Wang, Andrew Pavlo, Hyeontaek Lim, Viktor Leis,
Huanchen Zhang,
Michael Kaminsky, and David G. Andersen
Proceedings of the 2018 International Conference on Management of Data
(SIGMOD'18), June 2018, pp. 473-488.
Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes
Huanchen Zhang, David G. Andersen, Andrew Pavlo,
Michael Kaminsky, Lin Ma, and Rui Shen
Proceedings of the 2016 International Conference on Management of Data
(SIGMOD'16), June 2016, pp. 1567–1581.
The End of the x86 Dominance in Databases?
Huanchen Zhang
(CIDR'19 Abstract), Jan. 2019.