activity
20142023
most citedPredicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations

83 citations · 457 across the 62 of their papers we have counts for

collaborators
Showing 2022Show all

17 papers · 1 filter

cs.CV2022

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.…

math.NA2022

Numerical investigations on the resonance errors of multiscale discontinuous Galerkin methods for one-dimensional stationary Schrödinger equation

Bo Dong, Wei Wang

In this paper, numerical experiments are carried out to investigate the impact of penalty parameters in the numerical traces on the resonance errors of high order multiscale discon…

cs.SD2022

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer

Leyuan Qu, Wei Wang, Cornelius Weber +3

Humans can effortlessly modify various prosodic attributes, such as the placement of stress and the intensity of sentiment, to convey a specific emotion while maintaining consisten…

gr-qc2022★ 10 cited

Deflection of charged signals in a dipole magnetic field in Schwarzschild background using Gauss-Bonnet theorem

Zonghai Li, Wei Wang, Junji Jia

This paper studies the deflection of charged particles in a dipole magnetic field in Schwarzschild spacetime background in the weak field approximation. To calculate the deflection…

q-bio.QM2022

Neural network facilitated ab initio derivation of linear formula: A case study on formulating the relationship between DNA motifs and gene expression

Chengyu Liu, Wei Wang

Developing models with high interpretability and even deriving formulas to quantify relationships between biological data is an emerging need. We propose here a framework for ab in…

physics.ins-det2022★ 4 cited

Check on the features of potted 20-inch PMTs with 1F3 electronics prototype at Pan-Asia

Caimei Liu, Min Li, Zhimin Wang +34

The Jiangmen underground neutrino observatory (JUNO) is a neutrino project with a 20-kton liquid scintillator detector located at 700-m underground. The large 20-inch PMTs are one…

cs.CV2022★ 6 cited

Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation

Jichao Zhang, Aliaksandr Siarohin, Yahui Liu +3

Generative Neural Radiance Fields (GNeRF)-based 3D-aware GANs have showcased remarkable prowess in crafting high-fidelity images while upholding robust 3D consistency, particularly…

hep-th2022★ 33 cited

Transverse-momentum-dependent wave functions and Soft functions at one-loop in Large Momentum Effective Theory

Zhi-Fu Deng, Wei Wang, Jun Zeng

In large-momentum effective theory (LaMET), the transverse-momentum-dependent (TMD) light-front wave functions and soft functions can be extracted from the simulation of a four-qua…

cs.CV2022★ 1 cited

Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality

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.…

cs.CV2022★ 8 cited

Unsupervised High-Resolution Portrait Gaze Correction and Animation

Jichao Zhang, Jingjing Chen, Hao Tang +5

This paper proposes a gaze correction and animation method for high-resolution, unconstrained portrait images, which can be trained without the gaze angle and the head pose annotat…

cs.CV2022★ 40 cited

On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition

Yue Song, Nicu Sebe, Wei Wang

The Fine-Grained Visual Categorization (FGVC) is challenging because the subtle inter-class variations are difficult to be captured. One notable research line uses the Global Covar…

cond-mat.mtrl-sci2022★ 1 cited

Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy

Wenkai Fu, Steven R. Spurgeon, Chongmin Wang +3

We develop the machine learning capability to predict a time sequence of in-situ transmission electron microscopy (TEM) video frames based on the combined long-short-term-memory (L…

cs.CV2022

Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers

Bin Ren, Yahui Liu, Yue Song +4

Position Embeddings (PEs), an arguably indispensable component in Vision Transformers (ViTs), have been shown to improve the performance of ViTs on many vision tasks. However, PEs…

math.DS2022★ 6 cited

Generalized common index jump theorem with applications to closed characteristics on star-shaped hypersurfaces and beyond

Huagui Duan, Hui Liu, Yiming Long +1

In this paper, we first generalize the common index jump theorem of Long-Zhu in 2002 and Duan-Long-Wang in 2016 to the case where the mean indices of symplectic paths are not requi…

physics.flu-dyn2022

The early stage of the interaction between a planar shock and a cylindrical droplet considering cavitation effects: theoretical analysis and numerical simulation

Sheng Xu, Wenqi Fan, Wangxia Wu +2

The interaction between planar shock waves and droplets, involved the evolution of high transient unsteady wave structures and the induced cavitation process, occurs widely in natu…

quant-ph2022

Efficient Distinction between Quantum Direct and Common Causes and its Experimental Verification

Feixiang Xu, Jia-Yi Lin, Ben Wang +4

Identifying the causal structures between two statistically correlated events has been widely investigated in many fields of science. While some of the well-studied classical metho…

math.NA2022

A Two-Level Block Preconditioned Jacobi-Davidson Method for Multiple and Clustered Eigenvalues of Elliptic Operators

Qigang Liang, Wei Wang, Xuejun Xu

In this paper, we propose a two-level block preconditioned Jacobi-Davidson (BPJD) method for efficiently solving discrete eigenvalue problems resulting from finite element approxim…