I am currently a computer science PhD working with Prof. Pandey Prashant at Northeastern University DATA Lab. I'm currently building Jasper, a GPU library for billion-scale approximate nearest neighbor search that outperforms NVIDIA cuVS on both index construction and query throughput with a smaller GPU memory footprint. Before this, I worked on building adaptive state management for streaming system at CASP Lab at Boston University.

Curriculum Vitae

Projects

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  Jasper: GPU Accelerated Approximate Nearest Neighbor Search

  An updatable GPU index for billion-scale vector search, with faster construction and query throughput and a smaller memory footprint than NVIDIA cuVS.

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  Adaptive Streaming System

  Mechanisms and policies for efficiently scaling streaming workloads at runtime.

Publications

• 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
  USENIX Symposium on Networked Systems Design and Implementation (NSDI) 2027
• The Dangerous Impact of Solver Imprecision on Data Management Techniques (and How to Avoid It)
  Zixuan Chen, Zikun Wang, Panagiotis Manolios, Mirek Riedewald
  International Conference on Extending Database Technology (EDBT) 2027
• [Workshop] Directional Beam Search: I/O-Efficient ANNS on GPU
  Zikun Wang, Hunter McCoy, Prashant Pandey
  The 2nd Workshop on Vector Databases (VecDB) 2026
• GPU-Accelerated ANNS: Quantized for Speed, Built for Change
  Hunter McCoy, Zikun Wang, Prashant Pandey
  International Conference on Very Large Data Bases (VLDB) 2026
• CAPSys: Contention-aware task placement for data stream processing
  Yuanli Wang, Lei Huang, Zikun Wang, Vasiliki Kalavri, Ibrahim Matta
  European Conference on Computer Systems (EuroSys) 2025