Publications

Conference/Journal Papers

Koala: Non-disruptive Reconfiguration for Long-running Stateful Dataflows
Lei Huang, Sakshi Sharma, Chenxu Yu, Zikun Wang, Yuanli Wang, Zichen Zhu, John Liagouris, Vasiliki Kalavri. NSDI, 2027. Accepted; to appear.

O³-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading
Qi Lin, Gangqi Huang, Te Guo, Chang Guo, Viraj Thakkar, Zichen Zhu, Jianguo Wang, Zhichao Cao. SIGMOD / PACMMOD, 2026.

Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees
Zichen Zhu, Yanpeng Wei, Ju Hyoung Mun, Manos Athanassoulis. SIGMOD / PACMMOD, 2025.

Benchmarking, Analyzing, and Optimizing WA of Partial Compaction in RocksDB
Ran Wei, Zichen Zhu, Andrew Kryczka, Jay Zhuang, Manos Athanassoulis. EDBT, 2025.

NOCAP: Near-Optimal Correlation-Aware Partitioning Join
Zichen Zhu, Xiao Hu, Manos Athanassoulis. SIGMOD, 2024.

Enabling Timely and Persistent Deletion in LSM-Engines
Subhadeep Sarkar, Tarikul Islam Papon, Zichen Zhu, Dimitris Staratzis, Manos Athanassoulis. TODS, 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, 2023

Building Deletion-Compliant Data Systems
Manos Athanassoulis, Subhadeep Sarkar, Tarikul Islam Papon, Zichen Zhu, Dimitris Staratzis. IEEE Data Engineering Bulletin (DEBull), 2022.

Constructing and Analyzing the LSM Compaction Design Space
Subhadeep Sarkar, Dimitris Staratzis, Zichen Zhu, Manos Athanassoulis. VLDB, 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, Haoci Zhang. TKDE, 2022.

Evaluate Top-k Meta Path Queries on Large Heterogeneous Information Networks
Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang. ICDM 2018.

Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn.
Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu. CIDR 2019.

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Workshop/Demo

KVBench: A Key-Value Benchmarking Suite
Zichen Zhu, Arpita Saha, Manos Athanassoulis, Subhadeep Sarkar. DBTest, 2024.

SHaMBa: Reducing Bloom Filter Overhead in LSM Trees
Zichen Zhu VLDB PhD Workshop, 2023.

Acheron: Persisting Tombstones in LSM Engines
Zichen Zhu, Subhadeep Sarkar, Manos Athanassoulis. SIGMOD Demo, 2023.

LSM-Tree Under (Memory) Pressure
Ju Hyoung Mun, Zichen Zhu, Aneesh Raman, Manos Athanassoulis. ADMS, 2022.

Compactionary: A Dictionary for LSM Compactions
Subhadeep Sarkar, Kaijie Chen, Zichen Zhu, Manos Athanassoulis. SIGMOD Demo, 2022

Reducing Bloom Filter CPU Overhead in LSM-Trees on Modern Storage Devices
Zichen Zhu, Ju Hyoung Mun, Aneesh Raman, Manos Athanassoulis. DaMoN, 2021