Early stopping for deep image prior H Wang, T Li, Z Zhuang, T Chen, H Liang, J Sun arXiv preprint arXiv:2112.06074, 2021 | 50 | 2021 |
False positive elimination in intrusion detection based on clustering L Hu, T Li, N Xie, J Hu 2015 12th International conference on fuzzy systems and knowledge discovery …, 2015 | 42 | 2015 |
Performance of a chest radiograph ai diagnostic tool for covid-19: A prospective observational study J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton-Meaux, NE Ingraham, ... Radiology: Artificial Intelligence 4 (4), e210217, 2022 | 26 | 2022 |
Lung cancer risk prediction method based on feature selection and artificial neural network NN Xie, L Hu, TH Li Asian Pacific Journal of Cancer Prevention 15 (23), 10539-10542, 2015 | 24 | 2015 |
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors T Li, Z Zhuang, H Liang, L Peng, H Wang, J Sun 32nd British Machine Vision Conference 2021, 2021 | 17 | 2021 |
Blind image deblurring with unknown kernel size and substantial noise Z Zhuang, T Li, H Wang, J Sun International Journal of Computer Vision 132 (2), 319-348, 2024 | 12 | 2024 |
A prospective observational study to investigate performance of a chest X-ray artificial intelligence diagnostic support tool across 12 US hospitals J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton, N Ingraham, E Murray, ... ArXiv, 2021 | 10 | 2021 |
Detection of isocitrate dehydrogenase mutated glioblastomas through anomaly detection analytics B Taha, T Li, D Boley, CC Chen, J Sun Neurosurgery 89 (2), 323-328, 2021 | 8 | 2021 |
Deep random projector: Accelerated deep image prior T Li, H Wang, Z Zhuang, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Rethink Autoencoders: Robust Manifold Learning T Li, R Mehta, Z Qian, J Sun ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning, 2020 | 4 | 2020 |
Random Projector: Efficient Deep Image Prior T Li, Z Zhuang, H Wang, J Sun ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
Rethinking transfer learning for medical image classification L Peng, H Liang, G Luo, T Li, J Sun arXiv preprint arXiv:2106.05152, 2021 | 2 | 2021 |
Robust Autoencoders for Collective Corruption Removal T Li, H Wang, L Peng, J Sun ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
Detection of Isocitrate Dehydrogenase Mutated Glioblastomas Through Anomaly Detection Analytics: A Pilot Study B Taha, T Li, D Boley, J Sun, CC Chen Neurosurgery 67, 2020 | 1 | 2020 |
Strategies for Machine Learning Applied to Noisy HEP Datasets: Modular Solid State Detectors from SuperCDMS PB Cushman, MC Fritts, AD Chambers, A Roy, T Li arXiv preprint arXiv:2404.10971, 2024 | | 2024 |
Joint Demosaicing And Denoising With Double Deep Image Priors T Li, A Lahiri, Y Dai, O Mayer ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC B Joshi, T Li, B Liang, R Rusack, J Sun arXiv preprint arXiv:2303.15291, 2023 | | 2023 |
Performance of a chest radiograph ai diagnostic tool for COVID-19: a prospective observational study J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton-Meaux, NE Ingraham, ... Radiology: Artificial Intelligence 4 (4), e210217, 2022 | | 2022 |
Smart Cloud Commuting with Shared Autonomous Vehicles: A First Feasibility Study M Pan, Y Li, T Li, ZL Zhang, J Luo Urbcomp'18: The 7th International Workshop on Urban Computing, 2018 | | 2018 |