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 (supervised by [Jiaheng Lu]), 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) Yuxing Chen, Anqun Pan, Hailin Lei, Anda Ye, Shuo Han, Yan Tang, Wei Lu, Yunpeng Chai, Feng Zhang, and Xiaoyong Du. “TDSQL: Tencent Distributed Database System.”
- (VLDB 2024) [link] 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.”
- (ICDE 2024) [link] Chen Zhong, Qingqing Zhou, Yuxing Chen, Xingsheng Zhao, Kuang He, Anqun Pan, Song Jiang. “IndeXY: A Framework for Constructing Indexes Larger than Memory.”
- (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 the 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)
- axinggu (at) gmail (dot) com
Last update in August 2024