Lei Zhang

Orcid: 0009-0004-1681-1956

Affiliations:
  • ByteDance, San Jose, CA, USA


According to our database1, Lei Zhang authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Scalable and Efficient Reinforcement Learning for Virtual Machine Rescheduling in Cloud Data Centers.
IEEE Trans. Parallel Distributed Syst., May, 2026

ByteGraph-Dione: An Adaptive Dual-Format Graph Engine with Hotspot Awareness and Transaction Efficiency for Production-Scale Workloads.
Proceedings of the Companion of the International Conference on Management of Data, 2026

2025
ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases - No Data, No Query, No Retraining.
CoRR, October, 2025

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era.
Proc. VLDB Endow., August, 2025

veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System.
Proc. VLDB Endow., August, 2025

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models.
Proc. ACM Manag. Data, June, 2025

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.
CoRR, February, 2025

ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators.
Proc. VLDB Endow., December, 2024

LavaStore: ByteDance's Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services.
Proc. VLDB Endow., August, 2024

BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023
ByteGAP: A Non-continuous Distributed Graph Computing System using Persistent Memory.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Accelerating Cloud-Native Databases with Distributed PMem Stores.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
ByteHTAP: ByteDance's HTAP System with High Data Freshness and Strong Data Consistency.
Proc. VLDB Endow., 2022


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