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]

• (SIGMOD 2025) Donghui Wang, Yuxing Chen, Chengyao Jiang, Anqun Pan, Wei Jiang, Songli Wang, Hailin Lei, Chong Zhu, Lixiong Zheng, Wei Lu, Yunpeng Chai, Feng Zhang, and Xiaoyong Du. “TXSQL: Lock Optimizations Towards High Contented Workloads”
• (VLDB 2024) [link] 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.”
• (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 Transaction 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)

Talks

• 2025.05 Hong Kong, China SAR, ICDE Sponsor talk “Research on Transaction Processing at Tencent”
• 2025.03 Beijing, China, Renmin University of China DEKE invited talk “Lock Optimizations Towards High Contented Workloads” [slides](CN)
• 2024.09 Guangzhou, China, VLDB Research talk “TDSQL: Tencent Distributed Database System” [slides]
• 2024.09 Guangzhou, China, VLDB Sponsor talk “Research and Applications of Tencent Database Systems” [slides]
• 2024.06 Shenzhen, China, Shenzhen University DSEG invited talk “Applications and Research in Tencent” [slides](CN)
• 2024.05 Utrecht, Utrecht, ICDE Research talk “IndeXY: A Framework for Constructing Indexes Larger than Memory” [slides]
• 2024.05 Utrecht, Utrecht, ICDE Sponsor talk “Research and Applications of Tencent Database Systems” [slides]
• 2022.09 (Virtual) Sydney, Australia, VLDB Sponsor talk “Consistency Checking for Transactional Databases” [slides]
• 2022.09 Shenzhen, China, Tencent DB talk “Consistency Checking for Transactional Databases” [slides](CN)
• 2022.09 Shenzhen, China, Tencent Open Source project “Tencent Transaction Processing Testbed System (3TS)” [slides](CN)
• 2022.05 (Virtual) Kuala Lumpur, Malaysia, ICDE Tutorial talk “Automatic Performance Tuning for Distributed Data Stream Processing Systems” [slides]
• 2022.04 (Virtual) Hyderabad, India, DASFAA research talk “Cross-Model Conjunctive Queries over Relation and Tree-Structured Data” [slides]
• 2019.08 Los Angeles, USA, VLDB Tutorial talk “Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems” [slides]

Contact

• axinggu (at) gmail (dot) com

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Last update in April 2025