Identifying Rare Cell Populations in Comparative Flow Cytometry. - Ariful Azad; Johannes Langguth; Youhan Fang; Yuan (Alan) Qi; Alex Pothen (WABI, 2010)

Computing maximum matching in parallel on bipartite graphs: worth the effort? - Ariful Azad; Mahantesh Halappanavar; Florin Dobrian; Alex Pothen (IA3@SC, 2011)

Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs. - Ariful Azad; Mahantesh Halappanavar; Sivasankaran Rajamanickam; Erik G. Boman; Arif M. Khan; Alex Pothen (IPDPS, 2012)

Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry. - Ariful Azad; Alex Pothen (IPDPS Workshops, 2012)

Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry. - Ariful Azad; Saumyadipta Pyne; Alex Pothen (BMC Bioinform., 2012)

Classifying Immunophenotypes With Templates From Flow Cytometry. - Ariful Azad; Arif M. Khan; Bartek Rajwa; Saumyadipta Pyne; Alex Pothen (BCB, 2013)

Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates. - Ariful Azad; Bartek Rajwa; Alex Pothen (CoRR, 2014)

On parallel push-relabel based algorithms for bipartite maximum matching. - Johannes Langguth; Ariful Azad; Mahantesh Halappanavar; Fredrik Manne (Parallel Comput., 2014)

Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra. - Ariful Azad; Aydin Buluç (CLUSTER, 2015)

Parallel Triangle Counting and Enumeration Using Matrix Algebra. - Ariful Azad; Aydin Buluç; John R. Gilbert (IPDPS Workshops, 2015)

A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs. - Ariful Azad; Aydin Buluç; Alex Pothen (IPDPS, 2015)

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. - Mahantesh Halappanavar; Alex Pothen; Ariful Azad; Fredrik Manne; Johannes Langguth; Arif M. Khan (Computer, 2015)

An Algorithmic Pipeline for Analyzing Multi-parametric Flow Cytometry Data. - Ariful Azad (CoRR, 2015)

Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs. - Ariful Azad; Aydin Buluç (IPDPS, 2016)

Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication. - Penporn Koanantakool; Ariful Azad; Aydin Buluç; Dmitriy Morozov; Sang-Yun Oh; Leonid Oliker; Katherine A. Yelick (IPDPS, 2016)

flowVS: channel-specific variance stabilization in flow cytometry. - Ariful Azad; Bartek Rajwa; Alex Pothen (BMC Bioinform., 2016)

A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs. - Ariful Azad; Aydin Buluç (Parallel Comput., 2016)

Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. - Ariful Azad; Grey Ballard; Aydin Buluç; James Demmel; Laura Grigori; Oded Schwartz; Sivan Toledo; Samuel Williams 001 (SIAM J. Sci. Comput., 2016)

A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm. - Ariful Azad; Aydin Buluç (IPDPS, 2017)

Towards a GraphBLAS Library in Chapel. - Ariful Azad; Aydin Buluç (IPDPS Workshops, 2017)

The Reverse Cuthill-McKee Algorithm in Distributed-Memory. - Ariful Azad; Mathias Jacquelin; Aydin Buluç; Esmond G. Ng (IPDPS, 2017)

Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning. - Penporn Koanantakool; Alnur Ali; Ariful Azad; Aydin Buluç; Dmitriy Morozov; Sang-Yun Oh; Leonid Oliker; Katherine A. Yelick (CoRR, 2017)

Integrated Model and Data Parallelism in Training Neural Networks. - Amir Gholami; Ariful Azad; Kurt Keutzer; Aydin Buluç (CoRR, 2017)

Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting. - Ariful Azad; Aydin Buluç; Alex Pothen (IEEE Trans. Parallel Distributed Syst., 2017)

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. - Penporn Koanantakool; Alnur Ali; Ariful Azad; Aydin Buluç; Dmitriy Morozov; Leonid Oliker; Katherine A. Yelick; Sang-Yun Oh (AISTATS, 2018)

Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data. - Ye Chen; Ryan D. Calvert; Ariful Azad; Bartek Rajwa; James Fleet; Timothy Ratliff; Alex Pothen (BCB, 2018)

High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures. - Yusuke Nagasaka; Satoshi Matsuoka; Ariful Azad; Aydin Buluç (ICPP Workshops, 2018)

Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. - Amir Gholami; Ariful Azad; Peter H. Jin; Kurt Keutzer; Aydin Buluç (SPAA, 2018)

A distributed-memory approximation algorithm for maximum weight perfect bipartite matching. - Ariful Azad; Aydin Buluç; Xiaoye S. Li; Xinliang Wang; Johannes Langguth (CoRR, 2018)

Evaluating the Community Structures from Network Images Using Neural Networks. - Md. Khaledur Rahman; Ariful Azad (COMPLEX NETWORKS (1), 2019)

LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory. - Ariful Azad; Aydin Buluç (IPDPS, 2019)

A GraphBLAS Approach for Subgraph Counting. - Langshi Chen; Jiayu Li; Ariful Azad; Lei Jiang 001; Madhav V. Marathe; Anil Vullikanti; Andrey Nikolaev; Egor Smirnov; Ruslan Israfilov; Judy Qiu (CoRR, 2019)

Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors. - Yusuke Nagasaka; Satoshi Matsuoka; Ariful Azad; Aydin Buluç (Parallel Comput., 2019)

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. - 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 001; Justin F. Rousseau; et al. (AIME, 2020)

BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory. - Md. Khaledur Rahman; Majedul Haque Sujon; Ariful Azad (PacificVis, 2020)

Force2Vec: Parallel force-directed graph embedding. - Md. Khaledur Rahman; Majedul Haque Sujon; Ariful Azad (ICDM, 2020)

Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. - Ariful Azad; Mohsen Mahmoudi Aznaveh; Scott Beamer; Mark P. Blanco; Jinhao Chen; Luke D'Alessandro; Roshan Dathathri; Timothy A. Davis 001; Kevin Deweese; Jesun Firoz; Henry A. Gabb; Gurbinder Gill; et al. (IISWC, 2020)

Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. - Oguz Selvitopi; Md Taufique Hussain; Ariful Azad; Aydin Buluç (IPDPS, 2020)

FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence. - Yongzhe Zhang; Ariful Azad; Zhenjiang Hu (PP, 2020)

Distributed many-to-many protein sequence alignment using sparse matrices. - Oguz Selvitopi; Saliya Ekanayake; Giulia Guidi; Georgios A. Pavlopoulos; Ariful Azad; Aydin Buluç (SC, 2020)

Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. - Zhixiang Gu; Jose Moreira; David Edelsohn; Ariful Azad (SPAA, 2020)

The Parallelism Motifs of Genomic Data Analysis. - 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; et al. (CoRR, 2020)

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. - Tingyi Wanyan; Chenwei Zhang; Ariful Azad; Xiaomin Liang; Daifeng Li; Ying Ding 001 (CoRR, 2020)

SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. - Langshi Chen; Jiayu Li; Ariful Azad; S. Cenk Sahinalp; Madhav V. Marathe; Anil Vullikanti; Andrey Nikolaev; Egor Smirnov; Ruslan Israfilov; Judy Qiu (CoRR, 2020)

Parallel algorithms for finding connected components using linear algebra. - Yongzhe Zhang; Ariful Azad; Aydin Buluç (J. Parallel Distributed Comput., 2020)

A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs. - Ariful Azad; Aydin Buluç; Xiaoye S. Li; Xinliang Wang; Johannes Langguth (SIAM J. Sci. Comput., 2020)

GNNfam: utilizing sparsity in protein family predictions using graph neural networks. - Anuj Godase; Md. Khaledur Rahman; Ariful Azad (BCB, 2021)

Incremental Clustering Algorithms for Massive Dynamic Graphs. - Johannes Langguth; Aigars Tumanis; Ariful Azad (ICDM (Workshops), 2021)

Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale. - Md Taufique Hussain; Oguz Selvitopi; Aydin Buluç; Ariful Azad (IPDPS, 2021)

FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks. - Md. Khaledur Rahman; Majedul Haque Sujon; Ariful Azad (IPDPS, 2021)

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. - 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; et al. (CoRR, 2021)

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. - Tingyi Wanyan; Jing Zhang; Ying Ding 001; Ariful Azad; Zhangyang Wang; Benjamin S. Glicksberg (CoRR, 2021)

Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed. - Nicholas Majeske; Bidisha Abesh; Chen Zhu; Ariful Azad (CoRR, 2021)

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods. - Md. Khaledur Rahman; Ariful Azad (CoRR, 2021)

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. - Tingyi Wanyan; Hossein Honarvar; Ariful Azad; Ying Ding 001; Benjamin S. Glicksberg (Data Intell., 2021)

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. - 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 005; Marco Minutoli; et al. (Int. J. High Perform. Comput. Appl., 2021)

Contrastive learning improves critical event prediction in COVID-19 patients. - 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; et al. (Patterns, 2021)

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. - Tingyi Wanyan; Akhil Vaid; Jessica K. De Freitas; Sulaiman Somani; Riccardo Miotto; Girish N. Nadkarni; Ariful Azad; Ying Ding 001; Benjamin S. Glicksberg (IEEE Trans. Big Data, 2021)

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. - Tingyi Wanyan; Mingquan Lin; Eyal Klang; Kartikeya M. Menon; Faris F. Gulamali; Ariful Azad; Yiye Zhang; Ying Ding 001; Zhangyang Wang; Fei Wang 001; Benjamin S. Glicksberg; Yifan Peng 002 (BCB, 2022)

Parallel Algorithms for Adding a Collection of Sparse Matrices. - Md Taufique Hussain; Guttu Sai Abhishek; Aydin Buluç; Ariful Azad (IPDPS Workshops, 2022)

Extreme-Scale Many-against-Many Protein Similarity Search. - Oguz Selvitopi; Saliya Ekanayake; Giulia Guidi; Muaaz G. Awan; Georgios A. Pavlopoulos; Ariful Azad; Nikos Kyrpides; Leonid Oliker; Katherine A. Yelick; Aydin Buluç (SC, 2022)

JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning. - Selahattin Akkas; Ariful Azad (WWW (Companion Volume), 2022)

MarkovGNN: Graph Neural Networks on Markov Diffusion. - Md. Khaledur Rahman; Abhigya Agrawal; Ariful Azad (WWW (Companion Volume), 2022)

Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks. - Malintha Fernando; Ransalu Senanayake; Ariful Azad; Martin Swany (CoRR, 2022)

Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy. - Md. Khaledur Rahman; Ariful Azad (CoRR, 2022)

Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool. - Nicholas Majeske; Xuesong Zhang; McKailey Sabaj; Lei Gong; Chen Zhu; Ariful Azad (Environ. Model. Softw., 2022)

Scalable force-directed graph representation learning and visualization. - Md. Khaledur Rahman; Majedul Haque Sujon; Ariful Azad (Knowl. Inf. Syst., 2022)

Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems. - Ariful Azad; Oguz Selvitopi; Md Taufique Hussain; John R. Gilbert; Aydin Buluç (IEEE Trans. Parallel Distributed Syst., 2022)

Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra. - Elaheh Hassani; Md Taufique Hussain; Ariful Azad (HPEC, 2023)

Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs. - Isuru Ranawaka; Md. Khaledur Rahman; Ariful Azad (IPDPS, 2023)

22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). - Da Yan 001; Ariful Azad; Jie Hou 001; Jake Y. Chen; Mohammed J. Zaki (KDD, 2023)

Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM. - Charles Block; Gerasimos Gerogiannis; Charith Mendis; Ariful Azad; Josep Torrellas (ASPLOS (2), 2024)

Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations. - Isuru Ranawaka; Ariful Azad (IPDPS (Workshops), 2024)

Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting. - Nicholas Majeske; Ariful Azad (PAKDD (2), 2024)

Batch Updates of Distributed Streaming Graphs using Linear Algebra. - Elaheh Hassani; Md Taufique Hussain; Ariful Azad (SC Workshops, 2024)

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication. - Isuru Ranawaka; Md Taufique Hussain; Charles Block; Gerasimos Gerogiannis; Josep Torrellas; Ariful Azad (SC, 2024)

GNNShap: Scalable and Accurate GNN Explanation using Shapley Values. - Selahattin Akkas; Ariful Azad (WWW, 2024)

iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. - Md Saidul Hoque Anik; Pranav Badhe; Rohit Gampa; Ariful Azad (WWW (Companion Volume), 2024)

GNNShap: Fast and Accurate GNN Explanations using Shapley Values. - Selahattin Akkas; Ariful Azad (CoRR, 2024)

Parallel Algorithms for Median Consensus Clustering in Complex Networks. - Md Taufique Hussain; Mahantesh Halappanavar; Samrat Chatterjee; Filippo Radicchi; Santo Fortunato; Ariful Azad (CoRR, 2024)

Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors. - Ariful Azad; Afeefa Banu (CoRR, 2024)

Exabiome: Advancing Microbial Science through Exascale Computing. - Steven A. Hofmeyr; Aydin Buluç; Robert Riley 002; Rob Egan; Oguz Selvitopi; Leonid Oliker; Katherine A. Yelick; Migun Shakya; Brett Youtsey; Ariful Azad (Comput. Sci. Eng., 2024)

A Scalable Method for Readable Tree Layouts. - Kathryn Gray; Mingwei Li; Abu Reyan Ahmed; Md. Khaledur Rahman; Ariful Azad; Stephen G. Kobourov; Katy Börner (IEEE Trans. Vis. Comput. Graph., 2024)

SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations. - Md Saidul Hoque Anik; Ariful Azad (CoRR, 2025)

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment. - Qi Yu; Zhichen Zeng 001; Yuchen Yan; Zhining Liu 002; Baoyu Jing; Ruizhong Qiu; Ariful Azad; Hanghang Tong (CoRR, 2025)

DistShap: Scalable GNN Explanations with Distributed Shapley Values. - Selahattin Akkas; Aditya Devarakonda; Ariful Azad (CoRR, 2025)

Shapley-Value-Based Graph Sparsification for GNN Inference. - Selahattin Akkas; Ariful Azad (CoRR, 2025)