Scholar
Miao Qiao
Google Scholar ID: kD_ami8AAAAJ
University of Auckland
Citations & Impact
Citations
626
H-index
13
i10-index
17
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Dynamic Range-Filtering Approximate Nearest Neighbor Search (to appear in VLDB 2025)
- - On Graph Representation for Attributed Hypergraph Clustering (to appear in SIGMOD 2025)
- - Tag-Filtered Approximate Nearest Neighbor Search (ICDE 2025)
- - Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification (CIKM 2024)
- - Contrastive Graph Pooling for Explainable Classification of Brain Networks (IEEE Transactions on Medical Imaging 2024), PREMIA Best Student Paper Honourable Mention Award
- - On Density-based Local Community Search (PODS 2024)
- - Range-Filtering Approximate Nearest Neighbor Search (SIGMOD 2024)
- - Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation (SIGMOD 2023)
- - Data-Driven Network Neuroscience: On Data Collection and Benchmark (NIPS 2023, Datasets and Benchmarks Track)
- - Machine Learning for Brain MRI Data Harmonisation: A Systematic Review (Bioengineering 2023)
- - Anchored Densest Subgraph (SIGMOD 2022)
- - On Scalable Computation of Graph Eccentricities (SIGMOD 2022)
- - Clustering Activation Networks (ICDE 2022)
- - Distance labeling: on parallelism, compression, and ordering (VLDBJ 2022)
- - Two-Attribute Skew Free, Isolated CP Theorem, and Massively Parallel Joins (PODS 2021)
- - Fast Distributed Complex Join Processing (ICDE 2021)
- - Scale Distance Labeling on Graphs with Core-Periphery Properties (SIGMOD 2020)
Research Experience
- Joined the School of Computer Science at the University of Auckland in 2018.
Background
- Joined the School of Computer Science at the University of Auckland in 2018. Research spans both theoretical foundations and practical applications of data science and management, with a current emphasis on vector data management, graph search and analytics, and brain network analytics.
Co-authors