张焕晨的主要研究方向是数据库系统。他博士毕业于美国卡内基梅隆大学计算机系，曾任Snowflake博士后研究员。他本科毕业于美国威斯康星大学麦迪逊分校。
个人荣誉：
2021年SIGMOD吉姆·格雷博士论文奖（SIGMOD Jim Gray Doctoral Dissertation Award），2021 世界人工智能大会 WAIC 云帆奖
2020 Communications of the ACM (CACM) Research Highlight
2018 SIGMOD Best Paper Award
数据库管理系统
索引数据结构
数据压缩
云数据库
高性能计算-智能云原生数据库系统
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)
