Conference & Journal Papers

Benchmarking, Analyzing, and Optimizing WA of Partial Compaction in RocksDB Wei Ran*, Zichen Zhu*, Andrew Kryczka, Jay Zhuang, Manos Athanassoulis (* Equal Contribution) EDBT '25International Conference on Extending Database Technology, 2025
NOCAP: Near-Optimal Correlation-Aware Partitioning Join Zichen Zhu, Xiao Hu, Manos Athanassoulis SIGMOD '24ACM SIGMOD Conference, 2024
Enabling Timely and Persistent Deletion in LSM-Engines Subhadeep Sarkar, Tarikul Islam Papon, Zichen Zhu, Dimitris Staratzis, Manos Athanassoulis TODS '23ACM Transactions on Database Systems, 2023
Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights Siqiang Luo*, Zichen Zhu*, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao (* Equal Contribution) EDBT '23International Conference on Extending Database Technology, 2023
Building Deletion-Compliant Data Systems Manos Athanassoulis, Subhadeep Sarkar, Tarikul Islam Papon, Zichen Zhu, Dimitris Staratzis DEBull '22IEEE Data Engineering Bulletin, 2022
Constructing and Analyzing the LSM Compaction Design Space Subhadeep Sarkar, Dimitris Staratzis, Zichen Zhu, Manos Athanassoulis VLDB '21Proceedings of the VLDB Endowment, 2021
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks Zichen Zhu, Tsz Nam Chan, Reynold Cheng, Loc Do, Zhipeng Huang, Hoaci Zhang TKDE '20IEEE Transactions on Knowledge and Data Engineering, 2020
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn Stratos Idreos, Niv Dayan, Wilson Qin, et al., Zichen Zhu CIDR '19Conference on Innovative Data Systems Research, 2019
Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, Hoaci Zhang ICDM '18IEEE International Conference on Data Mining, 2018

Workshops & Demos

KVBench: A Key-Value Benchmarking Suite Zichen Zhu, Arpita Saha, Manos Athanassoulis, Subhadeep Sakar DBTest '24Workshop on Testing Database Systems, 2024
Acheron: Persisting Tombstones in LSM Engines Zichen Zhu, Subhadeep Sakar, Manos Athanassoulis SIGMOD '23SIGMOD Demo Track, 2023
SHaMBa: Reducing Bloom Filter Overhead in LSM Trees Zichen Zhu VLDB '23VLDB PhD Workshop, 2023
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems Zichen Zhu, Siqiang Luo, et al. ICDE '22ICDE Demo Track, 2022
Reducing Bloom Filter CPU Overhead in LSM-Trees on Modern Storage Devices Zichen Zhu, Ju Hyoung Mun, Aneesh Raman, Manos Athanassoulis DaMoN '21Workshop on Data Management on New Hardware, 2021