Research interests

• Database, big data management

Working

• Research engineer at TDSQL, Tencent Inc., China, 2021 ~ present

Backgrounds

• Ph.D. in multi-model and big data management, University of Helsinki, Finland, 2017 ~ 2021
• MSc. in Computer Science and Engineering, Politecnico di Milano, Italy, 2014 ~ 2016
• BSc. in Information and Computing Science, Guangdong University of Technology, China, 2010 ~ 2014

Publications [more]

• (VLDB 2024) Ziyi Lu, Qiang Cao, Hong Jiang, Yuxing Chen, Jie Yao, and Anqun Pan. “FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast Storage.”
• (SIGMOD 2023) [link] Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, and Anqun Pan. “SALI: A Scalable Adaptive Learned Index Framework based on Probability Models.”
• (DASFAA 2022) [link] Yuxing Chen, Valter Uotila, Jiaheng Lu, Zhen Hua Liu, and Souripriya Das. “Cross-Model Conjunctive Queries over Relation and Tree-Structured Data.”
• (CSUR 2020) [link] Herodotos Herodotou, Yuxing Chen, Jiaheng Lu. “A Survey on Automatic Parameter Tuning for Big Data Processing Systems”
• (IEEE Trans. on Big Data 2019) [link] Yuxing Chen, Peter Goetsch, Mohammad Hoque, Jiaheng Lu, Sasu Tarkoma. “d-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics”
• (CIKM 2019) [link] Yuxing Chen, Jiaheng Lu, Chen Chen, Mohammad Hoque, and Sasu Tarkoma. “Cost-effective Resource Provisioning for Spark Workloads”

R&Ds

• Tencent DB research: Industry-Academia-Research. 2021 ~ now
  Topic: Transaction processing and storage optimization in distributed databases.
• Oracle gift funding: Multi-model database and Category theory. 2020 ~ 2021
  Topic: Research on query process in different data models.
• Academy of Finland research project: Holistic Query Optimization and Transaction Processing in Multi-model Data Management. June,2017 ~ 2021
  Topic: Query optimization with various data varieties: tabular, JSON, XML, graph, etc. (worst-case optimal join)
• Huawei HIRP project: Optimization of Big Data Platform. 2017 ~ 2019
  Topic: Big data platform (e.g. Hive, Hadoop, Spark in Yarn/K8s) performance optimization (cost-effective container/executor allocation)

Contact

• axinggu (at) google mail

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Last update in February 2024