Md Ashraful Islam

Publications & Preprints

PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance

Md Ashraful Islam, Hojae Son, Suhaas Kiran Doddagaddavalli Gangadharaiah, Marco Serafini · Proceedings of the VLDB Endowment, 2026

Custom CUDA kernels build a memory computation graph; diffusion-based propagation eliminates staleness in M-TGNN training at large batch sizes.

Project Page PDF Code Temporal GNN CUDA ML Systems

Kalypso: Relational LLM Serving

Hojae Son, Md Ashraful Islam, Huy Gia Cao, Hui Guan, Marco Serafini · arXiv:2607.23815, 2026

LLM serving system for semantic query processing: structured context batching and KV-cache reuse across queries sharing relational context.

arXiv LLM Serving Database Systems Inference Optimization

STFT-GradTTS: A Robust, Diffusion-based Speech Synthesis System with iSTFT Decoder for Bangla

Mushahid Intesum, Abdullah Ibne Masud, Md Rezaul Karim, Md Ashraful Islam · International Journal of Speech Technology, 2025

Paper TTS Diffusion Speech

Graph-based Substructure Pattern Mining with Edge-Weight

Islam, Md Ashraful, Ahmed, Chowdhury Farhan, Alam, Md Tanvir, Leung, Carson Kai-Sang, Applied Intelligence, 2024

Published in Applied Intelligence (Vol. 54, No. 5, pp. 3756–3785).

Graph Mining

UGMINE: utility-based graph mining

Alam, Md Tanvir, Roy, Amit, Ahmed, Chowdhury Farhan, Islam, Md Ashraful, Leung, Carson K, Applied Intelligence, 2023

Published in Applied Intelligence (Vol. 53, No. 1, pp. 49–68).

Graph Mining

BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging

Ovi, Jesan Ahammed, Islam, Md Ashraful, Karim, Md Rezaul, IEEE Access, 2022

Published in IEEE Access (Vol. 10, pp. 102753–102769).

Bangla NLP

BaNeL: an encoder-decoder based Bangla neural lemmatizer

Islam, Md Ashraful, Towhiduzzaman, Md, Bhuiyan, Md, Islam, Tauhidul, Maruf, Abdullah Al, Ovi, Jesan Ahammed, SN Applied Sciences, 2022

Published in SN Applied Sciences (Vol. 4, No. 5, pp. 1–15).

Bangla NLP

Weighted frequent sequential pattern mining

Islam, Md Ashraful, Rafi, Mahfuzur Rahman, Azad, Al-amin, Ovi, Jesan Ahammed, Applied Intelligence, 2022

Published in Applied Intelligence (Vol. 52, No. 1, pp. 254–281).

Sequential Pattern Mining

Mining High Utility Subgraphs

Alam, Md Tanvir, Roy, Amit, Ahmed, Chowdhury Farhan, Islam, Md Ashraful, Leung, Carson K, ICDMW, 2021

Presented at 2021 International Conference on Data Mining Workshops (ICDMW), pp. 566–573.

Graph Mining

Weighted Clickstream Mining Using Pre-order Linked Web-Access Pattern Tree

Naser, Abu, Sultana, Nusrat, Islam, Md Ashraful, Ovi, Jesan Ahammed, INCET, 2021

Presented at 2021 2nd International Conference for Emerging Technology (INCET), pp. 1–11.

Clickstream Mining

WeFreS: weighted frequent subgraph mining in a single large graph

Ashraf, Nahian, Haque, Riddho Ridwanul, Islam, Md, Ahmed, Chowdhury Farhan, Leung, Carson K, Mai, Jiaxing Jason, Wodi, Bryan H, ibai publishing, 2019

Book chapter published in 2019.

Graph Mining

An efficient approach for sequential pattern mining on GPU using CUDA platform

Nuruddin, Shah Mohammed, Islam, Md Didarul, Alam, Md Shafiqul, Ovi, Jesan Ahammed, Islam, Md Ashraful, ISMSIT, 2020

Presented at 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 1–9.

GPU / CUDA

WFSM-MaxPWS: an efficient approach for mining weighted frequent subgraphs from edge-weighted graph databases

Islam, Md Ashraful, Ahmed, Chowdhury Farhan, Leung, Carson K, Hoi, Calvin SH, PAKDD, 2018

Presented at Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 664–676.

Graph Mining