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.
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] [ARXIV] [CODE] [SLIDES] [VIDEO]
Memory-Efficient Search Trees for Database Management Systems
2021 SIGMOD Jim Gray Dissertation Award
Ph.D. Dissertation, February 2020
[PAPER] [SLIDES] [VIDEO]
SuRF: Practical Range Query Filtering with Fast Succinct Tries
Best Paper Award
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] [TODS] [CODE] [DEMO] [SLIDES] [VIDEO]
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.