Li Wang

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Angular distributions of fragment ions ofN2in a femtosecond laser field

Wei Guo, Li Wang et 4 al.

Mar 19, 2008 in Physical Review A
We experimentally measure the kinetic energy and angular distributions of fragment ions of N(2) as a function of 820 nm femtosecond laser intensity. The angular dependence of fragments directly maps to the orbital symmetry of transient molecular ions. According to the observed energy and angular distribution of different charged fragment ions, reasonable fragmentation channels are proposed. Both t...

Uniform error estimate of an asymptotic preserving scheme for the Lévy-Fokker-Planck equation

Weiran Sun, Li Wang

Aug 25, 2022 in Arxiv
We establish a uniform-in-scaling error estimate for the asymptotic preserving scheme proposed in \cite{XW21} for the L\'evy-Fokker-Planck (LFP) equation. The main difficulties stem from not only the interplay between the scaling and numerical parameters but also the slow decay of the tail of the equilibrium state. We tackle these problems by separating the parameter domain according to the relati...

Variant Plateau Law in Atomically Thin Transition Metal Dichalcogenide Dome Networks

Boqing Liu, Yuerui Lu et 12 al.

Feb 10, 2023 in Arxiv
Since its fundamental inception from soap bubbles, Plateau law has sparked extensive research in equilibrated states. However, most studies primarily relied on liquids, foams or cellular structures, whereas its applicability has yet to be explored in nano-scale solid films. Here, we observed a variant Plateau law in networks of atomically thin domes made of solid two-dimensional (2D) transition me...

Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion

Fangzhou Gao, Jiawan Zhang et 4 al.

Aug 6, 2022 in Arxiv
Uncalibrated photometric stereo is proposed to estimate the detailed surface normal from images under varying and unknown lightings. Recently, deep learning brings powerful data priors to this underdetermined problem. This paper presents a new method for deep uncalibrated photometric stereo, which efficiently utilizes the inter-image representation to guide the normal estimation. Previous methods ...

Nonparametric Regression for 3D Point Cloud Learning

Xinyi Li, Li Wang et 5 al.

Jun 8, 2021 in Arxiv
Over the past two decades, we have seen an exponentially increased amount of point clouds collected with irregular shapes in various areas. Motivated by the importance of solid modeling for point clouds, we develop a novel and efficient smoothing tool based on multivariate splines over the tetrahedral partitions to extract the underlying signal and build up a 3D solid model from the point cloud. T...

Spontaneous symmetry breaking and ghost states supported by the fractional nonlinear Schrödinger equation with focusing saturable nonlinearity and PT-symmetric potential

Ming Zhong, Zhenya Yan et 3 al.

Oct 1, 2022 in Arxiv
We report a novel spontaneous symmetry breaking phenomenon and ghost states existed in the framework of the fractional nonlinear Schr\"odinger (FNLS) equation with focusing saturable nonlinearity and PT-symmetric potential. The continuous asymmetric soliton branch bifurcates from the fundamental symmetric one as the power exceeds some critical value. Intriguingly, the symmetry of fundamental solit...

Superimposed Pilot-based Channel Estimation for RIS-Assisted IoT Systems Using Lightweight Networks

Chaojin Qing, Jiafan Wang et 4 al.

Dec 7, 2022 in Arxiv
Conventional channel estimation (CE) for Internet of Things (IoT) systems encounters challenges such as low spectral efficiency, high energy consumption, and blocked propagation paths. Although superimposed pilot-based CE schemes and the reconfigurable intelligent surface (RIS) could partially tackle these challenges, limited researches have been done for a systematic solution. In this paper, a su...

BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation

Xiangyu Qin, Li Wang et 7 al.

Jan 17, 2023 in Arxiv
Previous works on emotion recognition in conversation (ERC) follow a two-step paradigm, which can be summarized as first producing context-independent features via fine-tuning pretrained language models (PLMs) and then analyzing contextual information and dialogue structure information among the extracted features. However, we discover that this paradigm has several limitations. Accordingly, we pr...

Calderon-Zygmund estimates for stochastic elliptic systems on bounded Lipschitz domains

Li Wang, Qiang Xu

Nov 9, 2022 in Arxiv
Concerned with elliptic operator with stationary random coefficients of integrable correlations and bounded Lipschitz domains, arising from stochastic homogenization theory, this paper is mainly devoted to studying Calder\'on-Zygmund estimates. As an application, we obtain the homogenization error in the sense of oscillation and fluctuation, and these results are optimal up to a quantity $O(\ln(1/...

Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping

Yunxiang Li, Li Wang et 10 al.

Mar 8, 2022 in Arxiv
Skull stripping is a crucial prerequisite step in the analysis of brain magnetic resonance images (MRI). Although many excellent works or tools have been proposed, they suffer from low generalization capability. For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters. Especially, for the lifespan datas...