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Efficiency
Memory ↓
Students
Papers
[ Projects ]
Billion-Scale Hypergraph Engine
C++ · Rust · SparkHigh-performance in-memory engine for core decomposition on hypergraphs with 10^9+ hyperedges.
Distributed Graph Analytics
Kubernetes · Flink · JavaCloud-native deployment of graph algorithms with auto-scaling and fault tolerance.
[ Research Focus ]
Core Decomposition
Scalable algorithms for k-core and nucleus decomposition in billion-scale graphs.
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Hypergraph Analytics
Efficient computation on high-order relational structures.
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Distributed Systems
Spark/Flink deployment, Kubernetes orchestration for graph workloads.
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[ Beyond Academia ]
Coffee-powered debugging
Lo-fi beats while writing
Strategic games enthusiast
Piano performance — just nailed my last piece
[ Get in Touch ]
Interested in collaboration, research discussions, or just saying hi?
[ About & Education ]
Ph.D. in Computer Science
UNSW (University of New South Wales)
Topic: Efficient Algorithms for Large-scale Graph Analysis.
MPhil in Computer Science
UNSW
Thesis: Scalable Core Decomposition in Large Networks.
B.Sc. in Computer Science
UNSW
Graduated with Distinction.
[ Publications ]
Accelerating Core Decomposition in Billion-Scale Hypergraphs
First Author
Improved efficiency by 7x and reduced memory by 36x compared to state-of-the-art.
Efficient Distributed Core Graph Decomposition
First Author
Optimized algorithms deployed on Spark/Flink via Kubernetes clusters.
Nucleus Decomposition Revisited: An Efficient Counting-Based Approach
Co-Author
Proposing a novel counting-based framework for dense subgraph discovery.
[ Technical Arsenal ]
Languages & Systems — C++/Rust for low-level performance.
Languages
Systems & Tools
[ Teaching Experience ]
- Database Systems (COMP3311/9311)Instructed 500+ students on SQL and Relational Algebra.
- Data Analytics for Graphs (COMP9312)Taught advanced graph theory and algorithms.