Conference Proceedings

ADAPT in SC Years 1-3 Conference Proceedings

Wang S, & Wu Y (2024). Achieving equalized explainability through data reconstruction, 1–8. https://doi.org/10.1109/IJCNN60899.2024.10651184

Zhang D, Wang J, & Luo F (2024). Directly denoising diffusion models. arXiv. https://doi.org/10.48550/arXiv.2405.13540

Saha R K, Qin D, Li N, Ye J, & Jayasuriya S (2024). Turb-Seg-Res: A segment-then-restore pipeline for dynamic videos with atmospheric turbulence. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 25286–25296). https://doi.org/10.1109/CVPR52733.2024.02389

Aiyetigbo M, Ravichandran D, Chalhoub R, Kalivas P, Luo F, & Li N (2024). Unsupervised coordinate-based video denoising. In 2024 IEEE International Conference on Image Processing (ICIP) (pp. 1438–1444). https://doi.org/10.1109/ICIP51287.2024.10647922

Aiyetigbo M, Ravichandran D, Chalhoub R, Kalivas P, Luo F, & Li N (2024). Unsupervised microscopy video denoising. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 6874–6883). https://doi.org/10.1109/CVPRW63382.2024.00681

Qin D, Saha R K, Chung W, Jayasuriya S, Ye J, & Li N (2024). Unsupervised moving object segmentation with atmospheric turbulence. In Computer Vision – ECCV 2024: 18th European Conference, Proceedings, Part VI (pp. 18–37). Springer. https://doi.org/10.1007/978-3-031-72658-3_2

Chaturvedi S S, Bagwe G, Zhang L E, & Yuan X (2025). AIP: Subverting retrieval-augmented generation via adversarial instructional prompt. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 15861–15878). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.801

Whalen L, & Valafar H (2024). DataDock: An open source data hub for research. arXiv. https://doi.org/10.48550/arXiv.2406.16880

Zhang Z, Chen X, Mukherji M, Gao B Z, Razi A, & Ye T (2025). Deep learning-enabled quantification of the capillary network in the myocardium by autofluorescence imaging. In Proceedings of SPIE 13295, Diagnostic and Therapeutic Applications of Light in Cardiology 2025 (1329503). https://doi.org/10.1117/12.3043957

Aiyetigbo M, Yuan W, Luo F, Li X, Ye T, & Li N (2025). Generalizable unsupervised microscopy video denoising via weighted spatiotemporal sampling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 4709–4718). https://doi.org/10.1109/CVPRW67362.2025.00457

Xuan Y, & Hoover A (2025). Personalized eating detection from wrist motion. In Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE ’25) (pp. 37–44). Association for Computing Machinery. https://doi.org/10.1145/3721201.3721386

Hoelscher J, Fried I, Salzman O, & Alterovitz R (2025). Resolution optimal motion planning for medical needle steering from airway walls in the lung. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (pp. 10659–10666). https://doi.org/10.1109/ICRA55743.2025.11128472

Ravivarapu H, Bagwe G, Yuan X, Yu C, & Zhang L (2025). Sample-efficient reinforcement learning controller for deep brain stimulation in Parkinson’s disease. In Proceedings of the IEEE Intelligent Mobile Computing (MobileCloud) (pp. 10–17). https://doi.org/10.1109/MobileCloud66020.2025.00006

Singleton E T, Oruc O, Ragan D D, Vesali N, & Williams A B (2025). The first AI+ health & humanoids camp for underrepresented minority middle school girls (work in progress). In Proceedings of the 2025 ASEE Annual Conference & Exposition. https://doi.org/10.18260/1-2–57221