| 2024 | CVPR | Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers. | Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding |
| 2023 | CVPR | Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning. | Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min |
| 2022 | KDD | T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling. | Yiren Jian, Erik Kruus, Martin Renqiang Min |
| 2021 | ICCV | Towards Robustness of Deep Neural Networks via Regularization. | Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh |
| 2020 | ICPR | Improving Neural Network Robustness Through Neighborhood Preserving Layers. | Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus |
| 2020 | USENIX | Austere Flash Caching with Deduplication and Compression. | Qiuping Wang, Jinhong Li, Wen Xia, Erik Kruus, Biplob Debnath, Patrick P. C. Lee |
| 2015 | EuroSys | MALT: distributed data-parallelism for existing ML applications. | Hao Li, Asim Kadav, Erik Kruus, Cristian Ungureanu |
| 2010 | FAST | Bimodal Content Defined Chunking for Backup Streams. | Erik Kruus, Cristian Ungureanu, Cezary Dubnicki |