Meta-Wrapper : Differentiable Wrapping Operator for User Interest Selection i…
Click-through rate (CTR) prediction, whose goal is to predict the probability of the user to click on an item, has become increasingly significant in the recommender systems. Recently, some deep le…
Learning With Multiclass AUC : Theory and Algorithms
The Area under the ROC curve (AUC) is a well-known ranking metric for problems such as imbalanced learning and recommender systems. The vast majority of existing AUC-optimization-based machine lear…
AbdomenCT-1K : Is Abdominal Organ Segmentation a Solved Problem?
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable result…
Cascade Uni-Traveling-Carrier Photodetector Array for Terahertz Applications
A cascade array structure and depleted layer thickness design method of uni-traveling-carrier photodetector (UTC-PD) for terahertz applications is proposed. The cascade array structure can increase…
Phase Off-Axis Modulation Metasurface for Orbital Angular Momentum Mode Multi…
Orbital angular momentum (OAM) mode multiplexing provides a promising solution for enlarging communication capacity density. Although various OAM mode multiplexing technologies have been investigat…
Quantum Microwave Photonics
By combing photonics and radiofrequency (RF) engineering, microwave photonics has been widely studied in the past few decades for the generation, processing, control and distribution of microwave a…
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling
We study the problem of efficient semantic segmentation of large-scale 3D point clouds. By relying on expensive sampling techniques or computationally heavy pre/post-processing steps, most existing…
Variational Autoencoders for Localized Mesh Deformation Component Analysis
Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing. Several methods have recently been developed, with an aim to extract intuitive…
Price Optimization, and Product Recommendations
Alibaba, which operates one of the world’s largest e-commerce platforms, designed a comprehensive omnichannel retail infrastructure that enables both online and offline ordering of products, rang…
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Inverse probability of treatment weighting (IPTW) is a popular method for estimating the average treatment effect (ATE). However, empirical studies show that the IPTW estimators can be sensitive to…
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