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publications

Memory-aware Framework for Efficient Second-order Random Walk on Large Graphs

Published in SIGMOD, 2020

Efficient second-order random walk framework.

Recommended citation: Shao, Y., Huang, S., Miao, X., Cui, B., & Chen, L. (2020, June). Memory-aware framework for efficient second-order random walk on large graphs. In Proceedings of the 2020 ACM SIGMOD international conference on management of data (pp. 1797-1812). https://link.springer.com/article/10.1007/s00778-021-00669-2

Memory-aware Framework for Fast and Scalable Second-order Random Walk over Billion-edge Natural Graphs

Published in The VLDB Journal, 2021

Efficient second-order random walk framework (journal extension).

Recommended citation: Shao, Y., Huang, S., Li, Y., Miao, X., Cui, B., & Chen, L. (2021). Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs. The VLDB Journal, 30(5), 769-797. https://link.springer.com/article/10.1007/s00778-021-00669-2

Survey on Performance Optimization for Database Systems

Published in Science China Information Sciences, 2023

Survey on database performance prediction, diagnosis, and tuning.

Recommended citation: Huang, S., Qin, Y., Zhang, X., Tu, Y., Li, Z., & Cui, B. (2023). Survey on performance optimization for database systems. Science China Information Sciences, 66(2), 121102. https://www.sciengine.com/SCIS/doi/10.1007/s11432-021-3578-6

DBPA: A Benchmark for Transactional Database Performance Anomalies

Published in SIGMOD, 2023

A benchmark with the reproduction procedures of the anomalies and a large dataset.

Recommended citation: Huang, S., Wang, Z., Zhang, X., Tu, Y., Li, Z., & Cui, B. (2023). DBPA: A Benchmark for Transactional Database Performance Anomalies. Proceedings of the ACM on Management of Data, 1(1), 1-26. https://dl.acm.org/doi/abs/10.1145/3588926

OpDiag: Unveiling Database Performance Anomalies through Query Operator Attribution [Accepted]

Published in IEEE Transactions on Knowledge and Data Engineering, 2025

Operator-level diagnosis of database performance anomalies.

Recommended citation: Huang, S., Wang, Z., Wu, Y., Tu, Y., Wang, J., & Cui, B. (2025). OpDiag: Unveiling Database Performance Anomalies through Query Operator Attribution. IEEE Transactions on Knowledge and Data Engineering. https://ieeexplore.ieee.org/document/10960743

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015