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.