Huanchen Zhang
I am currently working at Snowflake as a Postdoctoral Research Fellow. I will join Tsinghua IIIS as an Assistant Professor in Spring 2021.
I received my Ph.D. degree from the Computer Science Department at Carnegie Mellon University advised by Dave Andersen. I also worked closely with Andy Pavlo, Michael Kaminsky, and Kimberly Keeton. I received my B.S. degrees in Computer Engineering, Computer Sciences, and Mathematics from University of Wisconsin-Madison advised by Remzi Arpaci-Dusseau.
My research interests center on computer systems and databases. I have a particular interest in designing memory-efficient and high-performance search structures, like SuRF and HOPE.
[CV]Representative Publications
Order-Preserving Key Compression for In-Memory Search Trees
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.
[PAPER] [CODE]SuRF: Practical Range Query Filtering with Fast Succinct Tries 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.
[PAPER] [CODE] [DEMO] [SLIDES] [HIGHLIGHT]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.
[PAPER]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.
[PAPER] [SLIDES]
Selcted Talks
SuRF: Practical Range Query Filtering with Fast Succinct Tries
SIGMOD'18, June 2018 [SLIDES]Succinct Trie Indexes Made Practical
CMU DB Seminar, Feb 2017 [SLIDES]Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes
SIGMOD'16, June 2016 [SLIDES]
CMU Parallel Data Lab Retreat, October 2016 [SLIDES]
Teaching
- Fall 2017 -- Advanced and Distributed Operating Systems (Head TA)
- Fall 2016 -- Database Applications (Head TA)
Service
- PC Member -- SIGMOD 2020
- Journal Reviewer -- KAIS 2018