Ariful Azad

112 papers A* 4A 15B 4C 2Misc 1Journal 63Unranked 23
YearRankTypeTitle / Venue / Authors
2026 A* conf
Explainable Graph Sparsification with Shapley Values.
WWW
Selahattin Akkas, Ariful Azad
2025 Misc conf
DistFNE: A Distributed-Memory Algorithm for Force-Directed Node Embedding.
HiPC
Isuru Ranawaka, Ariful Azad
2025 J jnl
DistShap: Scalable GNN Explanations with Distributed Shapley Values.
CoRR
Selahattin Akkas, Aditya Devarakonda, Ariful Azad
2025 J jnl
Distributed-memory Algorithms for Sparse Matrix Permutation, Extraction, and Assignment.
CoRR
Elaheh Hassani, Md Taufique Hussain, Ariful Azad
2025 J jnl
Guest Editorial for Selected Papers From BIOKDD 2023.
IEEE Trans. Comput. Biol. Bioinform.
Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen
2025 J jnl
PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment.
CoRR
Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong
2025 J jnl
Shapley-Value-Based Graph Sparsification for GNN Inference.
CoRR
Selahattin Akkas, Ariful Azad
2025 — conf
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations.
MLSys
Md. Saidul Hoque Anik, Ariful Azad
2025 J jnl
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations.
CoRR
Md. Saidul Hoque Anik, Ariful Azad
2024 J jnl
A Scalable Method for Readable Tree Layouts.
IEEE Trans. Vis. Comput. Graph.
Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner
2024 — conf
Batch Updates of Distributed Streaming Graphs using Linear Algebra.
SC Workshops
Elaheh Hassani, Md Taufique Hussain, Ariful Azad
2024 A conf
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.
SC
Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad
2024 J jnl
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication.
CoRR
Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad
2024 J jnl
Exabiome: Advancing Microbial Science through Exascale Computing.
Comput. Sci. Eng.
Steven A. Hofmeyr, Aydin Buluç, Robert Riley, Rob Egan, Oguz Selvitopi, Leonid Oliker, Katherine A. Yelick, Migun Shakya, Brett Youtsey, Ariful Azad
2024 J jnl
GNNShap: Fast and Accurate GNN Explanations using Shapley Values.
CoRR
Selahattin Akkas, Ariful Azad
2024 A* conf
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values.
WWW
Selahattin Akkas, Ariful Azad
2024 — conf
Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting.
PAKDD (2)
Nicholas Majeske, Ariful Azad
2024 J jnl
Parallel Algorithms for Median Consensus Clustering in Complex Networks.
CoRR
Md Taufique Hussain, Mahantesh Halappanavar, Samrat Chatterjee, Filippo Radicchi, Santo Fortunato, Ariful Azad
2024 J jnl
Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors.
CoRR
Ariful Azad, Afeefa Banu
2024 — conf
Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations.
IPDPS (Workshops)
Isuru Ranawaka, Ariful Azad
2024 — conf
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM.
ASPLOS (2)
Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas
2024 — conf
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations.
WWW (Companion Volume)
Md. Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad
2024 J jnl
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations.
CoRR
Md. Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad
2023 A* conf
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023).
KDD
Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki
2023 J jnl
A Scalable Method for Readable Tree Layouts.
CoRR
Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner
2023 A conf
Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs.
IPDPS
Isuru Ranawaka, Md. Khaledur Rahman, Ariful Azad
2023 J jnl
Extreme-scale many-against-many protein similarity search.
CoRR
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç
2023 — conf
Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra.
HPEC
Elaheh Hassani, Md Taufique Hussain, Ariful Azad
2022 J jnl
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems.
IEEE Trans. Parallel Distributed Syst.
Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç
2022 A conf
Extreme-Scale Many-against-Many Protein Similarity Search.
SC
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç
2022 J jnl
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks.
CoRR
Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany
2022 J jnl
Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool.
Environ. Model. Softw.
Nicholas Majeske, Xuesong Zhang, McKailey Sabaj, Lei Gong, Chen Zhu, Ariful Azad
2022 — conf
JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning.
WWW (Companion Volume)
Selahattin Akkas, Ariful Azad
2022 — conf
MarkovGNN: Graph Neural Networks on Markov Diffusion.
WWW (Companion Volume)
Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad
2022 J jnl
MarkovGNN: Graph Neural Networks on Markov Diffusion.
CoRR
Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad
2022 — conf
Parallel Algorithms for Adding a Collection of Sparse Matrices.
IPDPS Workshops
Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad
2022 J jnl
Scalable force-directed graph representation learning and visualization.
Knowl. Inf. Syst.
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2022 — conf
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
BCB
Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng
2022 J jnl
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy.
CoRR
Md. Khaledur Rahman, Ariful Azad
2021 J jnl
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods.
CoRR
Md. Khaledur Rahman, Ariful Azad
2021 J jnl
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.
CoRR
Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg
2021 J jnl
Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems.
CoRR
Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç
2021 A conf
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale.
IPDPS
Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad
2021 J jnl
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
CoRR
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021 J jnl
Contrastive learning improves critical event prediction in COVID-19 patients.
Patterns
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg
2021 J jnl
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.
Data Intell.
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2021 J jnl
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.
Int. J. High Perform. Comput. Appl.
Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
2021 A conf
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks.
IPDPS
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2021 — conf
GNNfam: utilizing sparsity in protein family predictions using graph neural networks.
BCB
Anuj Godase, Md. Khaledur Rahman, Ariful Azad
2021 — conf
Incremental Clustering Algorithms for Massive Dynamic Graphs.
ICDM (Workshops)
Johannes Langguth, Aigars Tumanis, Ariful Azad
2021 J jnl
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed.
CoRR
Nicholas Majeske, Bidisha Abesh, Chen Zhu, Ariful Azad
2021 J jnl
Parallel Algorithms for Adding a Collection of Sparse Matrices.
CoRR
Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad
2021 J jnl
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
IEEE Trans. Big Data
Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020 J jnl
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs.
SIAM J. Sci. Comput.
Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth
2020 J jnl
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.
CoRR
Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding
2020 B conf
Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking.
SPAA
Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad
2020 J jnl
Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking.
CoRR
Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad
2020 B conf
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory.
PacificVis
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2020 J jnl
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory.
CoRR
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2020 J jnl
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale.
CoRR
Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad
2020 J jnl
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.
CoRR
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020 J jnl
Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices.
CoRR
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç
2020 A conf
Distributed many-to-many protein sequence alignment using sparse matrices.
SC
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç
2020 — conf
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.
IISWC
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang
2020 — conf
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence.
PP
Yongzhe Zhang, Ariful Azad, Zhenjiang Hu
2020 A* conf
Force2Vec: Parallel force-directed graph embedding.
ICDM
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2020 J jnl
Force2Vec: Parallel force-directed graph embedding.
CoRR
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2020 J jnl
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks.
CoRR
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
2020 B conf
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.
AIME
Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
2020 A conf
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures.
IPDPS
Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç
2020 J jnl
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures.
CoRR
Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç
2020 J jnl
Parallel algorithms for finding connected components using linear algebra.
J. Parallel Distributed Comput.
Yongzhe Zhang, Ariful Azad, Aydin Buluç
2020 J jnl
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting.
CoRR
Langshi Chen, Jiayu Li, Ariful Azad, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2020 J jnl
The Parallelism Motifs of Genomic Data Analysis.
CoRR
Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker
2019 J jnl
A GraphBLAS Approach for Subgraph Counting.
CoRR
Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2019 — conf
Evaluating the Community Structures from Network Images Using Neural Networks.
COMPLEX NETWORKS (1)
Md. Khaledur Rahman, Ariful Azad
2019 J jnl
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence.
CoRR
Yongzhe Zhang, Ariful Azad, Zhenjiang Hu
2019 A conf
LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory.
IPDPS
Ariful Azad, Aydin Buluç
2019 J jnl
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors.
Parallel Comput.
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
2018 J jnl
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching.
CoRR
Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth
2018 A conf
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.
AISTATS
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh
2018 — conf
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures.
ICPP Workshops
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
2018 J jnl
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures.
CoRR
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç
2018 B conf
Integrated Model, Batch, and Domain Parallelism in Training Neural Networks.
SPAA
Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç
2018 — conf
Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data.
BCB
Ye Chen, Ryan D. Calvert, Ariful Azad, Bartek Rajwa, James C. Fleet, Timothy Ratliff, Alex Pothen
2017 A conf
A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm.
IPDPS
Ariful Azad, Aydin Buluç
2017 J jnl
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning.
CoRR
Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
2017 J jnl
Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting.
IEEE Trans. Parallel Distributed Syst.
Ariful Azad, Aydin Buluç, Alex Pothen
2017 J jnl
Integrated Model and Data Parallelism in Training Neural Networks.
CoRR
Amir Gholami, Ariful Azad, Kurt Keutzer, Aydin Buluç
2017 A conf
The Reverse Cuthill-McKee Algorithm in Distributed-Memory.
IPDPS
Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng
2017 — conf
Towards a GraphBLAS Library in Chapel.
IPDPS Workshops
Ariful Azad, Aydin Buluç
2016 J jnl
A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs.
Parallel Comput.
Ariful Azad, Aydin Buluç
2016 J jnl
A work-efficient parallel sparse matrix-sparse vector multiplication algorithm.
CoRR
Ariful Azad, Aydin Buluç
2016 A conf
Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication.
IPDPS
Penporn Koanantakool, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick
2016 A conf
Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs.
IPDPS
Ariful Azad, Aydin Buluç
2016 J jnl
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication.
SIAM J. Sci. Comput.
Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams
2016 J jnl
The Reverse Cuthill-McKee Algorithm in Distributed-Memory.
CoRR
Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng
2016 J jnl
flowVS: channel-specific variance stabilization in flow cytometry.
BMC Bioinform.
Ariful Azad, Bartek Rajwa, Alex Pothen
2015 A conf
A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs.
IPDPS
Ariful Azad, Aydin Buluç, Alex Pothen
2015 J jnl
An Algorithmic Pipeline for Analyzing Multi-parametric Flow Cytometry Data.
CoRR
Ariful Azad
2015 J jnl
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures.
Computer
Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan
2015 C conf
Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra.
CLUSTER
Ariful Azad, Aydin Buluç
2015 J jnl
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication.
CoRR
Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams
2015 — conf
Parallel Triangle Counting and Enumeration Using Matrix Algebra.
IPDPS Workshops
Ariful Azad, Aydin Buluç, John R. Gilbert
2014 J jnl
Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates.
CoRR
Ariful Azad, Bartek Rajwa, Alex Pothen
2014 J jnl
On parallel push-relabel based algorithms for bipartite maximum matching.
Parallel Comput.
Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne
2013 — conf
Classifying Immunophenotypes With Templates From Flow Cytometry.
BCB
Ariful Azad, Arif M. Khan, Bartek Rajwa, Saumyadipta Pyne, Alex Pothen
2012 J jnl
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry.
BMC Bioinform.
Ariful Azad, Saumyadipta Pyne, Alex Pothen
2012 — conf
Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry.
IPDPS Workshops
Ariful Azad, Alex Pothen
2012 A conf
Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs.
IPDPS
Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen
2011 — conf
Computing maximum matching in parallel on bipartite graphs: worth the effort?
IA3@SC
Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen
2010 C conf
Identifying Rare Cell Populations in Comparative Flow Cytometry.
WABI
Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen