Shanghai Qi Zhi Institute PI, Assistant Professor at IIIS, Tsinghua.
Earned a Ph.D. in Computer Science from Carnegie Mellon University, served as a postdoctoral researcher at Snowflake. Undergraduate studies at the University of Wisconsin-Madison. Primary research focus is on database systems.
Cloud-Native Databases
Develop the first "cost-intelligent" cloud data warehouse
Indexing/Filtering Data Structures
Design fast and memory-efficient indexes/filters to speed up database queries
Columnar File Format
Design the next-generation open-source columnar storage format (focusing on machine-learning workloads and GPU decoding efficiency)
1. Chen, Zheng, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, and Xiaoyong Du，CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression，To Appear in Proceedings of the 2023 International Conference on Management of Data (SIGMOD). 2023.
2. Wang, Ke, Guanqun Yang, Yiwei Li, Huanchen Zhang, and Mingyu Gao，When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories，To Appear in Proceedings of the 2023 International Conference on Management of Data (SIGMOD). 2023.
3. Cha, Hokeun, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, and Xiangyao Yu，Blink-hash: An Adaptive Hybrid Index for In Memory Time Series Databases，To Appear in Proceedings of the VLDBEndowment 16. 2023
4. Anneser, Christoph, Andreas Kipf, Huanchen Zhang, Thomas Neumann, and Alfons Kemper，Adaptive Hybrid Indexes，2022 In Proceedings of the 2022 International Conference on Management of Data (SIGMOD)
5. Knorr, Eric R., Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, and Michael Mitzenmacher，Proteus: A Self-Designing Range Filter，2022 In Proceedings of the 2022 International Conference on Management of Data (SIGMOD)
