Transportation Origin-Destination Demand Estimation with Quasi-Sparsity
Origin-destination (OD) demands for a city or a region are essential input to many transportation applications. For a real-world transportation network, the OD demand matrix may present certain qua…
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…
High Power-Efficiency, Low DMG Cladding-Pumped Few-Mode Er/Yb/P Co-Doped Fibe…
Mode division multiplexing (MDM) is considered to be an efficient solution to alleviate the exponentially increasing “capacity crunch”. Here, we numerically and experimentally demonstrate a hig…
Ultra-Widely Tunable Acousto-Optic Add-Drop Filter Based on Acoustically-Indu…
An ultra-widely tunable acousto-optic add-drop filter is proposed and demonstrated based on the acoustically-induced polarization conversion of cladding-etched single-mode fiber, which covers wavel…
High-Speed and High-Resolution Optical Fiber Sensor Interrogation Based on Op…
Real-time and high-speed interrogation of optical fiber sensors normally requires sophisticated detection systems. Here a novel microwave photonic approach for interrogation of high-speed and high-…
Learning Frequency Domain Priors for Image Demoireing
Image demoireing is a multi-faceted image restoration task involving both moire pattern removal and color restoration. In this paper, we raise a general degradation model to describe an image conta…
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis W…
Incomplete data problem is commonly existing in classification tasks with multi-source data, particularly the disease diagnosis with multi-modality neuroimages, to track which, some methods have be…
Nonparametric Fusion Learning for Multiparameters : Synthesize Inferences Fro…
Fusion learning refers to synthesizing inferences from multiple sources or studies to make a more effective inference and prediction than from any individual source or study alone. Most existing me…
Data-Driven COVID-19 Vaccine Development for Janssen
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in …
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluat…
Given only video-level action categorical labels during training, weakly-supervised temporal action localization (WS-TAL) learns to detect action instances and locates their temporal boundaries in …
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