Jingxi Li
According to our database1,
Jingxi Li
authored at least 30 papers
between 2015 and 2024.
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Bibliography
2024
Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining.
CoRR, 2024
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video.
CoRR, 2024
CoRR, 2024
Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor.
CoRR, 2024
Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network.
CoRR, 2024
CoRR, 2024
2023
Adv. Intell. Syst., November, 2023
Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks.
CoRR, 2023
Pyramid diffractive optical networks for unidirectional magnification and demagnification.
CoRR, 2023
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer.
CoRR, 2023
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors.
CoRR, 2023
2022
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network.
CoRR, 2022
Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography.
CoRR, 2022
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network.
CoRR, 2022
2021
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning.
CoRR, 2021
2020
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving.
CoRR, 2020
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue.
CoRR, 2020
Temporal Pulses Driven Spiking Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.
CoRR, 2019
2015
Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015