7 citations · 7 across the 6 of their papers we have counts for
7 papers
Optical kernel machine with programmable nonlinearity
SeungYun Han, Fei Xia, Sylvain Gigan +2
Optical kernel machines offer high throughput and low latency. A nonlinear optical kernel can handle complex nonlinear data, but power consumption is typically high with the conven…
Optical Computing with Spectrally Multiplexed Features in Complex Media
Xue Dong, Kai Lion, Fei Xia +4
Artificial intelligence (AI) has rapidly evolved into a critical technology; however, electrical hardware struggles to keep pace with the exponential growth of AI models. Free spac…
PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling
Tianyi Zhang, Sicheng Chen, Borui Kang +6
Whole Slide Imaging (WSI) has become a gold standard in cancer diagnosis, inspecting multi-scale information from cellular to tissue levels. Processing an entire WSI directly is in…
Replica-assisted super-resolution fluorescence imaging in scattering media
Tengfei Wu, YoonSeok Baek, Fei Xia +2
Far-field super-resolution fluorescence microscopy has been rapidly developed for applications ranging from cell biology to nanomaterials. However, it remains a significant challen…
Neurophotonics beyond the Surface: Unmasking the Brain's Complexity Exploiting Optical Scattering
Fei Xia, Caio Vaz Rimoli, Walther Akemann +4
The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers…
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy
Liangrui Pan, Boya Ji, Peng Xi +3
Diabetic retinopathy(DR) is the main cause of blindness in diabetic patients. However, DR can easily delay the occurrence of blindness through the diagnosis of the fundus. In view…
Learning the Crystal Structure Genome for Property Classification
Yiqun Wang, Xiao-Jie Zhang, Fei Xia +3
Materials property predictions have improved from advances in machine learning algorithms, delivering materials discoveries and novel insights through data-driven models of structu…