| 2025 | ISVC | Supervised Contrastive Frame Aggregation for Video Representation Learning. | Shaif Chowdhury, Mushfika Rahman, Greg Hamerly |
| 2024 | DSAA | Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering. | Alibek Zhakubayev, Greg Hamerly |
| 2024 | DSAA | Using Annealing to Accelerate Triangle Inequality k-means. | Alibek Zhakubayev, Greg Hamerly |
| 2024 | IVCNZ | Contrastive Learning for Detecting Invasive Aquatic Species: An Analysis of SimCLR and Self-Supervised Methods with Unlabeled Video Data. | Sadia Nasrin Tisha, Greg Hamerly |
| 2024 | WACV | Active Learning Strategy Using Contrastive Learning and K-means for Aquatic Invasive Species Recognition. | Shaif Chowdhury, Greg Hamerly, Monica E. McGarrity |
| 2023 | ISVC | Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer. | Shaif Chowdhury, Sadia Nasrin Tisha, Monica E. McGarrity, Greg Hamerly |
| 2022 | ISVC | Recognition of Aquatic Invasive Species Larvae Using Autoencoder-Based Feature Averaging. | Shaif Chowdhury, Greg Hamerly |
| 2016 | SDM | Geometric methods to accelerate | Petr Rysav, Greg Hamerly |
| 2010 | SDM | Making k-means Even Faster. | Greg Hamerly |
| 2009 | ICMLA | Hierarchical Stability-Based Model Selection for Clustering Algorithms. | Bing Yin, Greg Hamerly |
| 2007 | ISPASS | Cross Binary Simulation Points. | Erez Perelman, Jeremy Lau, Harish Patil, Aamer Jaleel, Greg Hamerly, Brad Calder |
| 2006 | ISPASS | Comparing multinomial and k-means clustering for SimPoint. | Greg Hamerly, Erez Perelman, Brad Calder |
| 2005 | ISPASS | Motivation for Variable Length Intervals and Hierarchical Phase Behavior. | Jeremy Lau, Erez Perelman, Greg Hamerly, Timothy Sherwood, Brad Calder |
| 2005 | ISPASS | The Strong correlation Between Code Signatures and Performance. | Jeremy Lau, Jack Sampson, Erez Perelman, Greg Hamerly, Brad Calder |
| 2003 | SIGMETRICS | Using SimPoint for accurate and efficient simulation. | Erez Perelman, Greg Hamerly, Michael Van Biesbrouck, Timothy Sherwood, Brad Calder |
| 2002 | ASPLOS | Automatically characterizing large scale program behavior. | Timothy Sherwood, Erez Perelman, Greg Hamerly, Brad Calder |
| 2002 | CIKM | Alternatives to the k-means algorithm that find better clusterings. | Greg Hamerly, Charles Elkan |
| 2001 | ICML | Bayesian approaches to failure prediction for disk drives. | Greg Hamerly, Charles Elkan |