| 2025 | WWW | Node2binary: Compact Graph Node Embeddings using Binary Vectors. | Niloy Talukder, Croix Gyurek, Mohammad Al Hasan |
| 2024 | KDD | Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors. | Croix Gyurek, Niloy Talukder, Mohammad Al Hasan |
| 2023 | FIE | A Semi-Automatic Knowledge Discovery Tool to Identify and Visualize Course Bottlenecks. | Michael J. Nelson, Md Nour Hossain, Mohammad Al Hasan, Enamul Haque |
| 2022 | AAAI | Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. | Jun Zhuang, Mohammad Al Hasan |
| 2022 | CIKM | Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. | Jun Zhuang, Mohammad Al Hasan |
| 2022 | SDM | Deperturbation of Online Social Networks via Bayesian Label Transition. | Jun Zhuang, Mohammad Al Hasan |
| 2021 | DSAA | Source detection on networks using spatial temporal graph convolutional networks. | Hao Sha, Mohammad Al Hasan, George O. Mohler |
| 2021 | ICDE | Reliability Maximization in Uncertain Graphs (Extended Abstract). | Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari |
| 2021 | ICWSM | Group Link Prediction Using Conditional Variational Autoencoder. | Hao Sha, Mohammad Al Hasan, George O. Mohler |
| 2021 | ISORC | Real-time Detection of the More is Less Performance Anti-Pattern in MySQL Databases. | Nyalia Lui, Mohammad Al Hasan, James H. Hill |
| 2021 | KDD | Deep Learning based Crop Row Detection with Online Domain Adaptation. | Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran |
| 2020 | ICWSM | Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. | Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham |
| 2019 | KDD | Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. | John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler |
| 2019 | Mobiquitous | Lighter U-net for segmenting white matter hyperintensities in MR images. | Jun Zhuang, Mingchen Gao, Mohammad Al Hasan |
| 2018 | CIKM | A Combined Representation Learning Approach for Better Job and Skill Recommendation. | Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem |
| 2017 | CIKM | Regularized and Retrofitted models for Learning Sentence Representation with Context. | Tanay Kumar Saha, Shafiq R. Joty, Naeemul Hassan, Mohammad Al Hasan |
| 2017 | CIKM | Name Disambiguation in Anonymized Graphs using Network Embedding. | Baichuan Zhang, Mohammad Al Hasan |
| 2017 | ICWSM | How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation. | Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy |
| 2017 | MASS | Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting. | Darshan Sangani, Kelby Erickson, Mohammad Al Hasan |
| 2016 | CIKM | Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams. | Baichuan Zhang, Murat Dundar, Mohammad Al Hasan |
| 2016 | DSAA | Waiting to Be Sold: Prediction of Time-Dependent House Selling Probability. | Mansurul Bhuiyan, Mohammad Al Hasan |
| 2015 | DEXA | TopCom: Index for Shortest Distance Query in Directed Graph. | Vachik S. Dave, Mohammad Al Hasan |
| 2014 | BigData | FSM-H: Frequent Subgraph Mining Algorithm in Hadoop. | Mansurul Bhuiyan, Mohammad Al Hasan |
| 2014 | CIKM | Sampling Triples from Restricted Networks using MCMC Strategy. | Mahmudur Rahman, Mohammad Al Hasan |
| 2013 | CIKM | On segmentation of eCommerce queries. | Nish Parikh, Prasad Sriram, Mohammad Al Hasan |
| 2013 | ISORC | Auto-constructing dataflow models from system execution traces. | Manjula Peiris, Mohammad Al Hasan, James H. Hill |
| 2012 | CIKM | Interactive pattern mining on hidden data: a sampling-based solution. | Mansurul Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan |
| 2012 | CIKM | GRAFT: an approximate graphlet counting algorithm for large graph analysis. | Mahmudur Rahman, Mansurul Bhuiyan, Mohammad Al Hasan |
| 2012 | ICDM | GUISE: Uniform Sampling of Graphlets for Large Graph Analysis. | Mansurul Bhuiyan, Mahmudur Rahman, Mahmuda Rahman, Mohammad Al Hasan |
| 2011 | WSDM | Query suggestion for E-commerce sites. | Mohammad Al Hasan, Nish Parikh, Gyanit Singh, Neel Sundaresan |
| 2010 | ICDM | SONNET: Efficient Approximate Nearest Neighbor Using Multi-core. | Mohammad Al Hasan, Hilmi Yildirim, Abhirup Chakraborty |
| 2009 | KDD | COA: finding novel patents through text analysis. | Mohammad Al Hasan, W. Scott Spangler, Thomas D. Griffin, Alfredo Alba |
| 2009 | PAKDD | Clustering with Lower Bound on Similarity. | Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki |
| 2009 | SDM | MUSK: Uniform Sampling of k Maximal Patterns. | Mohammad Al Hasan, Mohammed Javeed Zaki |
| 2008 | ICDM | SPARCL: Efficient and Effective Shape-Based Clustering. | Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki |
| 2007 | ICAIL | Assessing patent value through advanced text analysis. | Mohammad Al Hasan, W. Scott Spangler |
| 2007 | ICDM | ORIGAMI: Mining Representative Orthogonal Graph Patterns. | Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jrmy Besson, Mohammed Javeed Zaki |
| 2005 | ICFCA | Towards Generic Pattern Mining. | Mohammed Javeed Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem |