IEEE

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...
IEEE

Deep Learning-Based Data-Assisted Channel Estimation and Detection

Abstract: We introduce a novel structure empowered by deep learning models, accompanied by a thorough training methodology, for enhancing channel estimation and data detection in multiple input ...
Microsoft

VL2: A Scalable and Flexible Data Center Network

Recognized as one of "the most important research results published in CS in recent years". To be agile and cost effective, data centers should allow dynamic resource allocation across large server ...
GitHub

ImgEdit: A Unified Image Editing Dataset and Benchmark

ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging ...
Frontiers

Mapping the relationship between perceived involution and subjective well-being in Chinese university students: a network analysis across gender and grade levels

Involution, as a rising sociocultural phenomenon in contemporary Chinese society, has raised concerns about its potential psychological impact on young people. However, little is known about how ...
GitHub

Adaptive aberration-corrected quantitative phase microscopy via physics-informed deep learning

Quantitative phase microscopy (QPM) enables label-free imaging and precise characterization of transparent specimens by measuring phase delay. However, optical aberrations induce wavefront distortions ...