| 2026 | WWW | Explainable Graph Sparsification with Shapley Values. | Selahattin Akkas, Ariful Azad |
| 2025 | HiPC | DistFNE: A Distributed-Memory Algorithm for Force-Directed Node Embedding. | Isuru Ranawaka, Ariful Azad |
| 2024 | ASPLOS | Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM. | Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas |
| 2024 | PAKDD | Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting. | Nicholas Majeske, Ariful Azad |
| 2024 | WWW | GNNShap: Scalable and Accurate GNN Explanation using Shapley Values. | Selahattin Akkas, Ariful Azad |
| 2024 | WWW | iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. | Md. Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad |
| 2024 | SC | Batch Updates of Distributed Streaming Graphs using Linear Algebra. | Elaheh Hassani, Md Taufique Hussain, Ariful Azad |
| 2024 | SC | 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 |
| 2023 | KDD | 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). | Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki |
| 2022 | WWW | JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning. | Selahattin Akkas, Ariful Azad |
| 2022 | WWW | MarkovGNN: Graph Neural Networks on Markov Diffusion. | Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad |
| 2022 | SC | 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 Bulu |
| 2020 | AIME | 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, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg |
| 2020 | ICDM | Force2Vec: Parallel force-directed graph embedding. | Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad |
| 2020 | SC | Distributed many-to-many protein sequence alignment using sparse matrices. | Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Bulu |
| 2020 | SPAA | Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. | Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad |
| 2018 | AISTATS | Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. | Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Bulu, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh |
| 2018 | SPAA | Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. | Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Bulu |
| 2015 | CLUSTER | Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra. | Ariful Azad, Aydin Bulu |
| 2011 | SC | Computing maximum matching in parallel on bipartite graphs: worth the effort? | Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen |
| 2010 | WABI | Identifying Rare Cell Populations in Comparative Flow Cytometry. | Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen |