I am currently a computer science PhD working with Prof. Pandey Prashant at Northeastern University DATA Lab. I focus on building high-efficiency systems for data at scale.
Projects
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GPU Accelerated Approximate Nearest Neighbor Search
An updatable GPU index for vector search at scale.
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Adaptive Streaming System
Mechanisms and policies for efficiently scaling streaming workloads at runtime.
Conference Publications
| The Dangerous Impact of Solver Imprecision on Data Management Techniques (and How to Avoid It) | Zixuan Chen, Zikun Wang, Panagiotis Manolios, Mirek Riedewald | EDBT 2027 |
| GPU-Accelerated ANNS: Quantized for Speed, Built for Change | Hunter McCoy, Zikun Wang, Prashant Pandey | VLDB 2026 |
| CAPSys: Contention-aware task placement for data stream processing | Yuanli Wang, Lei Huang, Zikun Wang, Vasiliki Kalavri, Ibrahim Matta | EuroSys 2025 |
Posters
- Zero-downtime reconfiguration mechanisms for dynamic data stream processing at Boston University's North East Database Day 2025. Jan 9, 2025.
- Effective Workload Scaling in Streaming System at Boston University's The 27th Annual Undergraduate Research Symposium. Oct 18, 2024.
- A Computational Platform for Visuospatial Assessment at Neuroscience of the Everyday World Conference 2024. Aug 9, 2024.
- Automatic Task Placement Decisions for High-throughput and Resource-efficient Data Stream Processing at North East Database Day 2024. May 23, 2024.
Teaching Roles
- Teaching Assistant, GRS CS 630 Graduate algorithm, Boston University, Fall 2024.
- Grader, CAS CS 320 Programming Language, Boston University, Fall 2022.
My Academic Friends
