About me

I am a PhD student at the School of Computer Science and Engineering, Nanyang Technological University, supervised by Prof Cong Gao. My research interests mainly lie in the field of AI and databases.

I graduated from Nanyang Technological University in 2021 with a Bachelor of Engineering in Computer Science (Honours Highest Distinction) and a minor in Mathematics.

I’m maintaining a repository of awesome resources on AI-powered semantic data systems, check it out here!

Projects & Publications

Real-Time Data System for AI-driven Query Processing on Multimodal Data

• ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities (Open Source Release Soon!)
  Jingyi Yang, Songsong Mo, Jiachen Shi, Zihao Yu, Kunhao Shi, Xuchen Ding, Gao Cong
  Under Submission
• NEXT: A New Secondary Index Framework for LSM-based Data Storage
  Jiachen Shi, Jingyi Yang, Gao Cong, Xiaoli Li
  ACM Special Interest Group in Management of Data 2025. SIGMOD 2025
  Paper

Machine Learning-enhanced Database Indexes

• BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
  Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang
  ACM Special Interest Group in Management of Data 2025. SIGMOD 2025
  Paper
• PLATON: Top-down R-tree Packing with Learned Partition Policy
  Jingyi Yang, Gao Cong
  ACM Special Interest Group in Management of Data 2024. SIGMOD 2024
  Paper | Code

Machine learning for Data Generation and Cardinality Estimation

• Database Generation from Query Workloads with Supervised Autoregressive Models
  Jingyi Yang*, Peizhi Wu*, Gao Cong, Tieying Zhang, Xiao He
  ACM Special Interest Group in Management of Data 2022. SIGMOD 2022
  Paper | Code
• Cardinality Estimation in DBMS: A Comprehensive Benhcmark Evaluation
  Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cu
  Proceeding of the VLDB Volume 15. VLDB 2022
  Paper

Tutorial on Machine Learning for Databases

• Machine Learning for Databases: Foundations, Paradigms, and Open problems
  Gao Cong, Jingyi Yang, Yue Zhao
  ACM Special Interest Group in Management of Data 2024 Tutorial. SIGMOD 2024
  Paper

• Task-in-all Domain Adaptation for Semantic Segmentation
  Tianyi Zhang, Jingyi Yang, Chuanxia Zheng, Guosheng Lin, Jianfei Cai, Alex C. Kot
  2019 IEEE International Conference on Visual Communication and Imange Processing. VCIP 2019
  Paper