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| An information modeling framework for bridge monitoring S Jeong, R Hou, JP Lynch, H Sohn, KH Law Advances in engineering software 114, 11-31, 2017 | 102 | 2017 |
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| Progressive prompts: Continual learning for language models A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, A Almahairi arXiv preprint arXiv:2301.12314, 2023 | 94 | 2023 |
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| Real-time panoptic segmentation from dense detections R Hou, J Li, A Bhargava, A Raventos, V Guizilini, C Fang, J Lynch, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 82 | 2020 |
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| Xlm-v: Overcoming the vocabulary bottleneck in multilingual masked language models D Liang, H Gonen, Y Mao, R Hou, N Goyal, M Ghazvininejad, ... arXiv preprint arXiv:2301.10472, 2023 | 49 | 2023 |
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| Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors R Hou, S Jeong, JP Lynch, KH Law Transportation research part c: emerging technologies 111, 547-571, 2020 | 44 | 2020 |
| A scalable cloud-based cyberinfrastructure platform for bridge monitoring S Jeong, R Hou, JP Lynch, H Sohn, KH Law Structure and Infrastructure Engineering 15 (1), 82-102, 2019 | 42 | 2019 |
| Mart: Improving llm safety with multi-round automatic red-teaming S Ge, C Zhou, R Hou, M Khabsa, YC Wang, Q Wang, J Han, Y Mao arXiv preprint arXiv:2311.07689, 2023 | 38 | 2023 |
| Data-driven analytical load rating method of bridges using integrated bridge structural response and weigh-in-motion truck data R Hou, S Jeong, JP Lynch, MM Ettouney, KH Law Mechanical Systems and Signal Processing 163, 108128, 2022 | 26 | 2022 |
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Jerome P. LynchProfessor of Civil and Environmental Engineering, Duke UniversityVerified email at duke.edu
