| Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems X Lyu, P Jajal, MZ Tahir, S Zhang Scientific Reports 12 (1), 1-13, 2022 | 27 | 2022 |
| Reusing deep learning models: Challenges and directions in software engineering JC Davis, P Jajal, W Jiang, TR Schorlemmer, N Synovic, ... 2023 IEEE John Vincent Atanasoff International Symposium on Modern Computing …, 2023 | 22 | 2023 |
| Simulation-driven design of wood framing support systems for off-site construction machinery P Martinez, M Livojevic, P Jajal, DR Aldrich, M Al-Hussein, R Ahmad Journal of construction engineering and management 146 (7), 04020075, 2020 | 20 | 2020 |
| PTMTorrent: a dataset for mining open-source pre-trained model packages W Jiang, N Synovic, P Jajal, TR Schorlemmer, A Tewari, B Pareek, ... 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 15 | 2023 |
| Analysis of failures and risks in deep learning model converters: A case study in the onnx ecosystem P Jajal, W Jiang, A Tewari, E Kocinare, J Woo, A Sarraf, YH Lu, ... arXiv preprint arXiv:2303.17708, 2023 | 13 | 2023 |
| Interoperability in deep learning: A user survey and failure analysis of onnx model converters P Jajal, W Jiang, A Tewari, E Kocinare, J Woo, A Sarraf, YH Lu, ... Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 6 | 2024 |
| Pruning one more token is enough: Leveraging latency-workload non-linearities for vision transformers on the edge NJ Eliopoulos, P Jajal, J Davis, G Liu, GK Thiravathukal, YH Lu arXiv preprint arXiv:2407.05941, 2024 | 1 | 2024 |
| Detecting Music Performance Errors with Transformers BSH Chou, P Jajal, NJ Eliopoulos, T Nadolsky, CY Yang, N Ravi, ... arXiv preprint arXiv:2501.02030, 2025 | | 2025 |
| Detecting Music Performance Errors with Transformers B Shiue-Hal Chou, P Jajal, NJ Eliopoulos, T Nadolsky, CY Yang, N Ravi, ... arXiv e-prints, arXiv: 2501.02030, 2025 | | 2025 |
| Token Turing Machines are Efficient Vision Models P Jajal, NJ Eliopoulos, BSH Chou, GK Thiruvathukal, JC Davis, YH Lu arXiv preprint arXiv:2409.07613, 2024 | | 2024 |
| Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments CY Yang, G Ramshankar, N Eliopoulos, P Jajal, S Nambiar, E Miller, ... Proceedings of the 29th ACM/IEEE International Symposium on Low Power …, 2024 | | 2024 |
| Reducing Vision Transformer Latency on Edge Devices via GPU Tail Effect and Training-free Token Pruning NJ Eliopoulos, P Jajal, J Davis, G Liu, GK Thiravathukal, YH Lu arXiv e-prints, arXiv: 2407.05941, 2024 | | 2024 |
| An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions C Tung, N Eliopoulos, P Jajal, G Ramshankar, CY Yang, N Synovic, ... 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 890-895, 2024 | | 2024 |
| Venchova, Elitsa 56 Vitanov, Nikolay V. 40 MR Williams, R Basili, G Bell, KL Boyanov, CG Call, K Cha, CK Chang, ... | | |
