In this article, a novel Bayes-Adam-based multiple-input multiple-output (MIMO) equalizer was proposed and experimentally demonstrated for an orbital angular momentum (OAM) mode-division multiplexe…
We propose and demonstrate a deep learning-assisted photonic approach for measuring the angle-of-arrival (AOA) with high-precision, which is suitable for long-baseline direction finding (DF). A non…
Despite the success of stochastic variance-reduced gradient (SVRG) algorithms in solving large-scale problems, their stochastic gradient complexity often scales linearly with data size and is expen…
We analyze a new kind of machine learning algorithm designed to feedback stabilize coherently combined lasers. This algorithm learns differential, rather than absolute, values of action in phase sp…
Patent thickets, a phenomenon of fragmented ownership of overlapping patent rights, hamper firms’ commercialization of patents and thus deliver asset pricing implications. We show that firms with…
This paper studies instance-dependent P ositive and U nlabeled (PU) classification, where whether a positive example will be labeled (indicated by s ) is not only related to the class label y , but…
Whispering gallery mode (WGM) crystalline resonator is an excellent platform for acoustic sensing because the quality ( Q ) factor of 10 11 can theoretically increase sensitivity by more than three…
This paper addresses the problem of instance-level 6DoF object pose estimation from a single RGB image. Many recent works have shown that a two-stage approach, which first detects keypoints and the…
Online weight-loss communities (OWCs) provide individuals with various tools to support their weight management, such as weight recorders and weight-loss journals. These tools enable individuals to…
Injecting human knowledge is an effective way to accelerate reinforcement learning (RL). However, these methods are underexplored. This article presents our discovery that an abstract forward model…