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20242026
most citedA Survey of Learned Indexes for the Multi-dimensional Space

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2026

iFVS: Towards Instance-Optimized Filtered Vector Search

Abdullah Al-Mamun, Yeasir Rayhan, Walid G. Aref

Filtered vector search (FVS) is increasingly important in modern AI + DB systems, where vector similarity search is combined with relational predicates. Quantization plays a vital…

cs.CV2025

Provenance-Driven Reliable Semantic Medical Image Vector Reconstruction via Lightweight Blockchain-Verified Latent Fingerprints

Mohsin Rasheed, Abdullah Al-Mamun

Medical imaging is essential for clinical diagnosis, yet real-world data frequently suffers from corruption, noise, and potential tampering, challenging the reliability of AI-assis…

cs.DB2025

Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree

Abdullah Al-Mamun, Ch. Md. Rakin Haider, Jianguo Wang +1

Machine Learning (ML) techniques have been successfully applied to design various learned database index structures for both the one- and multi-dimensional spaces. Particularly, a…

cs.DB2024★ 4 cited

A Survey of Learned Indexes for the Multi-dimensional Space

Abdullah Al-Mamun, Hao Wu, Qiyang He +2

A recent research trend involves treating database index structures as Machine Learning (ML) models. In this domain, single or multiple ML models are trained to learn the mapping f…

stat.AP2024★ 3 cited

Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease

Hamed Khosravi, Milad Khanchi, Mobina Noori +3

Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the performance of machine learning models for…