个人简介
I am an Assistant Professor in the IIIS (Yao Class) at Tsinghua University. My research interest is in database management systems. I have particular interests in indexing/filtering data structures, data compression, and cloud databases. I received my Ph.D. degree from the Computer Science Department at Carnegie Mellon University. Before joining Tsinghua, I worked at Snowflake as a Postdoctoral Research Fellow.
Education
Carnegie Mellon University Sept. 2013 - Feb. 2020
Ph.D. in Computer Science Department Pittsburgh, PA USA
esis: “Memory-Ecient Search Trees for Database Management Systems”
Advisor: David G. Andersen
University of Wisconsin - Madison June 2009 - May 2013
B.S. in Computer Engineering, with Distinctive Scholastic Achievement Madison, WI USA
2nd and 3rd Major: Computer Sciences and Mathematics
Advisor: Remzi Arpaci-Dusseau
Professional Experience
Assistant Professor Jan. 2021 - Present
Tsinghua University, Institute for Interdisciplinary Information Sciences (IIIS) Beijing, China
Postdoctoral Research Fellow April. 2020 - Dec. 2020
Snowake Inc. San Mateo, CA USA
Graduate Research Assistant Sept. 2013 - Feb. 2020
Carnegie Mellon University Pisburgh, PA USA
Research Intern May 2016 - August 2016
Hewle Packard Labs Palo Alto, CA USA
Web Developer Aug. 2011 - May 2013
University of Wisconsin - Madison, College of Engineering Madison, WI USA
Awards & Honors
2022 ACM SIGMOD China Rising Star Award
2021 SIGMOD Jim Gray Dissertation Award
2021 World Artificial Intelligence Conference (WAIC) Yunfan Award
2020 Communications of the ACM (CACM) Research Highlights
2019 ACM SIGMOD Research Highlight Award
Best Paper Award, ACM SIGMOD 2018
Student Travel Grant, ACM SOSP 2015, USENIX NSDI 2014
UW-Madison Graduate with Distinctive Scholastic Achievement, 2013
Edgar H. and Laverne R. Krainer Memorial Scholarship, 2011 & 2012
UW-Madison Computer Sciences Summer Research Assistant Award, 2012
The John and Elizabeth Moore Award for Excellence in General Chemistry, 2011
近期论文
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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(1), 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
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.
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. Last Updated: January, 2021
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