About Me

Posted on Apr 18, 2025

I am currently a PhD candidate at East China Normal University, where my research interests primarily focus on data warehousing, including the optimization of systems like ClickHouse and Presto. Previously, I served as a research intern at ByteDance. I earned my Bachelor of Engineering (B.Eng.) degree from the China University of Geosciences in 2019.

Industry Experience

  • Research Intern, ByteDance Inc., 2022.7 - 2025.1.
  • System Engineer, NetEase Inc., 2019.7 - 2020.7.

Publication

  1. Y Han, L Chen, H Wang, Z Chen, Y Zhang, K Hao, Z Yang. Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems. ICDE. 2025.
  2. L Chen, Y Han, Y Chen, X Chen, C Yang, W Qian. AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines. PVLDB. 2025.
  3. Y Han, H Wang, L Chen, Y Dong, X Chen, B Yu, C Yang, W Qian. ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation. SIGMOD. 2024.
  4. L Chen, R Chen, C Yang, Y Han, R Zhang, X Zhou, P Jin, W Qian. Workload-aware Log-structured Merge Key-value Store for NVM-SSD Hybrid Storage. ICDE. 2023.