83 citations · 457 across the 62 of their papers we have counts for
63 papers
QED contributions to the mixing
Zhi-Fu Deng, Yu-Ji Shi, Wei Wang +1
We explore the QED corrections to the mixing within the framework of light-front quark model (LFQM) in the three-quark picture. After explicitly investigating th…
Non-zero Integral Spin of Acoustic Vortices and Spin-orbit Interaction in Longitudinal Acoustics
Wei Wang, Yang Tan, Jingjing Liu +2
Spin and orbital angular momenta (AM) are of fundamental interest in wave physics. Acoustic wave, as a typical longitudinal wave, has been well studied in terms of orbital AM, but…
Accessing the subleading-twist -meson light-cone distribution amplitude with Large-Momentum Effective Theory
Shu-Man Hu, Wei Wang, Ji Xu +1
Within the framework of large momentum effective theory (LaMET), we propose a hard-collinear factorization formula to extract the subleading-twist -meson light-cone distribution…
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
Wanyu Wu, Wei Wang, Zheng Wang +2
Most existing Low-Light Image Enhancement (LLIE) methods are primarily designed to improve brightness in dark regions, which suffer from severe degradation in nighttime images. How…
Q-Learning for Linear Quadratic Optimal Control with Terminal State Constraint
Juanjuan Xu, Jingmei Liu, Zhaorong Zhang +1
This paper is concerned with the linear quadratic optimal control of discrete-time time-varying system with terminal state constraint. The main contribution is to propose a Q-learn…
Householder Projector for Unsupervised Latent Semantics Discovery
Yue Song, Jichao Zhang, Nicu Sebe +1
Generative Adversarial Networks (GANs), especially the recent style-based generators (StyleGANs), have versatile semantics in the structured latent space. Latent semantics discover…
Single-sensor and real-time ultrasonic imaging using an AI-driven disordered metasurface
Wei Wang, Jie Hu, Jingjing Liu +5
Non-destructive testing and medical diagnostic techniques using ultrasound has become indispensable in evaluating the state of materials or imaging the internal human body, respect…
A short note on for
Wei Wang
Let be the topological group of diffeomorphisms of which agree with the identity near the boundary. In this short note, we compute the fun…
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Xiusi Chen, Yu Zhang, Jinliang Deng +2
Few-shot question answering (QA) aims at precisely discovering answers to a set of questions from context passages while only a few training samples are available. Although existin…
JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo
JUNO Collaboration, Angel Abusleme, Thomas Adam +596
We discuss JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo via detecting inverse beta decay reactions of electron anti-neutrinos resulting from the ann…
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
Sijie Wang, Qiyu Kang, Rui She +4
LiDAR relocalization plays a crucial role in many fields, including robotics, autonomous driving, and computer vision. LiDAR-based retrieval from a database typically incurs high c…
Universality and Limitations of Prompt Tuning
Yihan Wang, Jatin Chauhan, Wei Wang +1
Despite the demonstrated empirical efficacy of prompt tuning to adapt a pretrained language model for a new task, the theoretical underpinnings of the difference between "tuning pa…
DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition
Hang Shao, Bei Liu, Wei Wang +2
As a popular multilingual and multitask pre-trained speech model, Whisper has the problem of curse of multilinguality. To enhance multilingual capabilities in small Whisper models,…
Accretion disk wind during the outburst of the stellar-mass black hole MAXI J1348-630
Hanji Wu, Wei Wang, Na Sai
We analyzed two observations of the low-mass black hole X-ray binary MAXI J1348-630 from Nuclear Spectroscopic Telescope Array (NuSTAR) during low hard state and hard intermediate…
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy
Yang Li, Wei Wang, Ming Wang +13
Deep learning needs high-precision handling of forwarding signals, backpropagating errors, and updating weights. This is inherently required by the learning algorithm since the gra…
Light-cone distribution amplitudes of a light baryon in large-momentum effective theory
Zhi-Fu Deng, Chao Han, Wei Wang +2
Momentum distributions of quarks/gluons inside a light baryon in a hard exclusive process are encoded in the light-cone distribution amplitudes (LCDAs). In this work, we point out…
InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks
Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han +1
As influencers play considerable roles in social media marketing, companies increase the budget for influencer marketing. Hiring effective influencers is crucial in social influenc…
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Gongning Luo, Kuanquan Wang, Jun Liu +27
Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most exist…
The JUNO experiment Top Tracker
JUNO Collaboration, Angel Abusleme, Thomas Adam +609
The main task of the Top Tracker detector of the neutrino reactor experiment Jiangmen Underground Neutrino Observatory (JUNO) is to reconstruct and extrapolate atmospheric muon tra…
Memory-multi-fractional Brownian motion with continuous correlations
Wei Wang, Michal Balcerek, Krzysztof Burnecki +6
We propose a generalization of the widely used fractional Brownian motion (FBM), memory-multi-FBM (MMFBM), to describe viscoelastic or persistent anomalous diffusion with time-depe…
LSR: A Light-Weight Super-Resolution Method
Wei Wang, Xuejing Lei, Yueru Chen +2
A light-weight super-resolution (LSR) method from a single image targeting mobile applications is proposed in this work. LSR predicts the residual image between the interpolated lo…
Anomalous diffusion, non-Gaussianity, and nonergodicity for subordinated fractional Brownian motion with a drift
Yingjie Liang, Wei Wang, Ralf Metzler
The stochastic motion of a particle with long-range correlated increments (the moving phase) which is intermittently interrupted by immobilizations (the traping phase) in a disorde…
Stochastic heat equations on moving domains
Tianyi Pan, Wei Wang, Jianliang Zhai +1
In this paper, we establish the well-posedness of stochastic heat equations on moving domains, which amounts to a study of infinite dimensional interacting systems. The main diffic…
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Yue Song, Nicu Sebe, Wei Wang
Inserting an SVD meta-layer into neural networks is prone to make the covariance ill-conditioned, which could harm the model in the training stability and generalization abilities.…