Yi Liu
Scholar

Yi Liu

Google Scholar ID: mN56qtYAAAAJ
University of California Santa Cruz
Computer networksDatabase
Citations & Impact
All-time
Citations
36
 
H-index
4
 
i10-index
0
 
Publications
17
 
Co-authors
3
list available
Contact
Resume (English only)
Academic Achievements
  • Publications:
  • 1. GenTorrent: Scaling Large Language Model Serving with An Overley Network (Preprint)
  • 2. Smash: Flexible, Fast, and Resource-Efficient Placement and Lookup of Distributed Storage (Communication of the ACM 2025)
  • 3. Efficient Vector Search on Disaggregated Memory with d-HNSW (HotStorage 2025)
  • 4. Outback: Fast and Communication-efficient Index for Key-Value Store on Disaggregated Memory (VLDB 2025)
  • 5. Smash: Flexible, Fast, and Resource-efficient Placement and Lookup of Distributed Storage (SIGMETRICS 2023)
  • 6. Parrot Hashing: Fast and Low-memory Table Lookups for Network Applications with One CRC-8 (IEEE Transactions on Networking 2025)
  • 7. Scalable, Fast, and Low-memory Table Lookups for Network Applications with one CRC-8 (ICNP 2024)
  • 8. SpotKV: Improving Read Throughput of KVS by I/O-aware Cache and Adaptive Cuckoo Filters (CLOUD 2024)
  • 9. EdgeCut: Fast and Low-overhead Access of User-associated Contents from Edge Servers (SEC 2023)
  • 10. A Distributed Learned Hash Table (ICNP 2025)
  • 11. CloudQC: A Network-aware Framework for Multi-tenant Distributed Quantum Computing (ICDCS 2025)
  • 12. On Designing A Quantum Network Topology: Model, Methodology, and Algorithm (QCE 2025)
  • 13. QuCloudSim: A Customizable Discrete Event Simulator for Quantum Cloud Computing Environment (QCNC 2025)
Research Experience
  • PhD student at the University of California, Santa Cruz, involved in multiple research projects.
Education
  • PhD: University of California, Santa Cruz, Advisor: Prof. Chen Qian; Bachelor's Degree: University of Science and Technology of China (USTC) in Electronic Information Engineering, 2020.
Background
  • Research Interests: Design and optimization of high-performance systems, with a particular focus on RDMA-based disaggregated databases, vector similarity search, and AI infrastructure. Biography: PhD student at the University of California, Santa Cruz, Department of Computer Science and Engineering.