PhD, East China Normal University · SDE, ByteDance
chenlixiang.dev@gmail.com · GitHub · Google Scholar · 中文
I am a Software Development Engineer at ByteDance, where I joined in July 2026. I received my PhD from East China Normal University in June 2026. My research interests include intelligent optimization for data warehouse systems, spanning AI4DB and MLSys. Through academic internships at ByteDance, I work on real-world optimization problems for modern analytical engines such as ClickHouse and Flink. My work has been published at top database conferences including SIGMOD, VLDB, and ICDE.
ByteDance — Software Development Engineer (Jul 2026 – Present)
Xiaohongshu — Storage System Intern (Jul 2025 – Aug 2025) KVCache optimization for long-sequence LLM inference.
ByteDance — Research Intern (Jul 2022 – Jan 2025) Intelligent optimization for data warehouse systems: query-level configuration tuning, parallelism tuning for stream processing and learned cardinality estimation.
NetEase — System Engineer (Jul 2019 – Jul 2020) CDN system development.
East China Normal University — PhD in Software Engineering (2021 – 2026)
China University of Geosciences (Wuhan) — B.Eng. in Computer Science (2015 – 2019)
(ICDE 2026) BOND: A Co-Designed Framework for LLM-Powered Analytics Over Relational Data.
(ICDE 2025) Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems.
(PVLDB 2025) AQETuner: Reliable Query-Level Configuration Tuning for Analytical Query Engines.
(SIGMOD 2024) ByteCard: Enhancing ByteDance's Data Warehouse with Learned Cardinality Estimation.
(ICDE 2023) Workload-Aware Log-Structured Merge Key-Value Store for NVM-SSD Hybrid Storage.