Diagnose Like a Radiologist : Hybrid Neuro-Probabilistic Reasoning for Attrib…
During clinical practice, radiologists often use attributes, e.g., morphological and appearance characteristics of a lesion, to aid disease diagnosis. Effectively modeling attributes as well as all…
Comparison of Beyond 1 GHz C-Plane Freestanding and Sapphire-Substrate GaN-Ba…
With ever-growing demand for 6G networks technology, visible light communication (VLC) as a vital component of 6G has challenging requirement for superior performance of light source. Herein, 20 μ…
GRIM : A General, Real-Time Deep Learning Inference Framework for Mobile Devi…
It is appealing but challenging to achieve real-time deep neural network (DNN) inference on mobile devices, because even the powerful modern mobile devices are considered as “resource-constrained…
Role of Coherent Systems in the Next DCI Generation
Coherent transmission has been the standard for fiber optic communications for 100 Gbps rates and higher at distances of 40 km and above for more than a decade. In this paper, we review the continu…
Photonic-Assisted Modulation Format Identification for RF Signals under Low S…
A photonic-assisted approach is proposed for modulation format identification (MFI) on radio frequency (RF) signals under low sampling rate. In this approach, a photonic-assisted interferometer (PA…
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassman…
Human brain is a complex yet economically organized system, where a small portion of critical hub regions support the majority of brain functions. The identification of common hub nodes in a popula…
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (including point cloud semantic segmentation, panoptic segmentation and 3D detection, etc .) often project the point clouds to 2D s…
Graph Convolutional Module for Temporal Action Localization in Videos
Temporal action localization, which requires a machine to recognize the location as well as the category of action instances in videos, has long been researched in computer vision. The main challen…
Part-Level Car Parsing and Reconstruction in Single Street View Images
Part information has been proven to be resistant to occlusions and viewpoint changes, which are main difficulties in car parsing and reconstruction. However, in the absence of datasets and approach…
Scaling Challenges in High Power Photonic Crystal Surface-Emitting Lasers
Since the initial proposal in 1999 by Noda et al. , photonic crystal surface emitting lasers (PCSELs) have shown to achieve large area, coherent lasing with a narrow, single mode beam. Owing to the…
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