346 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN44 papers
- Chinese Academy of SciencesCN28 papers
- Southern University of Science and TechnologyCN19 papers
- Peking UniversityCN18 papers
- University of Chinese Academy of SciencesCN14 papers
- Tsinghua UniversityCN11 papers
- City University of Hong KongHK9 papers
- Institute of Applied Physics and Computational MathematicsCN9 papers
- Ping An (China)9 papers
- Shanxi UniversityCN8 papers
- Shenzhen Institutes of Advanced TechnologyCN8 papers
- University of Science and Technology of ChinaCN8 papers
35 papers · 1 filter
ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science
Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman +9
Street view imagery (SVI) has been instrumental in many studies in the past decade to understand and characterize street features and the built environment. Researchers across a va…
Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey
Zixuan Shangguan, Yanjie Dong, Song Guo +3
Facial expressions convey human emotions and can be categorized into macro-expressions (MaEs) and micro-expressions (MiEs) based on duration and intensity. While MaEs are voluntary…
PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models
Qian Zhang, Panfeng Chen, Jiali Li +6
The emergence of Large Language Models (LLMs) in the medical domain has stressed a compelling need for standard datasets to evaluate their question-answering (QA) performance. Alth…
Proof of bulk-edge correspondence for band topology by Toeplitz algebra
Zixian Zhou, Liang-Liang Wan
We rigorously yet concisely prove the bulk-edge correspondence for general -dimensional (D) topological insulators in complex Altland-Zirnbauer classes, which states that the…
SUANPAN: Scalable Photonic Linear Vector Machine
Ziyue Yang, Chen Li, Yuqia Ran +12
Photonic linear operation is a promising approach to handle the extensive vector multiplications in artificial intelligence techniques due to the natural bosonic parallelism and hi…
An Efficient Watermarking Method for Latent Diffusion Models via Low-Rank Adaptation and Dynamic Loss Weighting
Dongdong Lin, Yue Li, Benedetta Tondi +3
The rapid proliferation of Deep Neural Networks (DNNs) is driving a surge in model watermarking technologies, as the trained models themselves constitute valuable intellectual prop…
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Ziqiang Cui, Yunpeng Weng, Xing Tang +4
In recent years, the introduction of knowledge graphs (KGs) has significantly advanced recommender systems by facilitating the discovery of potential associations between items. Ho…
Scaling analysis of quantum geometry in second-order nonlinear transport
Zhen-Hao Gong, Z. Z. Du, Hai-Peng Sun +2
Quantum geometry encodes the structure of the Hilbert space of Bloch states and can be accessed through nonlinear transport. Yet, disorder-induced mechanisms generically contribute…
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding
Xiaobao Song, Hao Wang, Liwei Deng +3
Time position embeddings capture the positional information of time steps, often serving as auxiliary inputs to enhance the predictive capabilities of time series models. However,…
A semi-analytical method using auxiliary sine series for vibration and sound radiation of a rectangular plate with elastic edges
Guoming Deng, Xian Wu, Changxiao Shao +2
This paper proposes an efficient semi-analytical method using auxiliary sine series for transverse vibration and sound radiation of a thin rectangular plate with edges elastically…
On the design space between molecular mechanics and machine learning force fields
Yuanqing Wang, Kenichiro Takaba, Michael S. Chen +14
A force field as accurate as quantum mechanics (QM) and as fast as molecular mechanics (MM), with which one can simulate a biomolecular system efficiently enough and meaningfully e…
miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models
Xin Zhou, Dawei Huang, Xiaojing Peng +1
EEG-based emotion recognition holds significant potential in the field of brain-computer interfaces. A key challenge lies in extracting discriminative spatiotemporal features from…
SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition
Zebang Cheng, Shuyuan Tu, Dawei Huang +4
This paper presents our winning approach for the MER-NOISE and MER-OV tracks of the MER2024 Challenge on multimodal emotion recognition. Our system leverages the advanced emotional…
DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams
Chuyang Ye, Dongyan Wei, Zhendong Liu +5
Test-Time Adaptation (TTA) addresses domain shifts between training and testing. However, existing methods assume a homogeneous target domain (e.g., single domain) at any given tim…
Anisotropy of Nanohertz Gravitational Wave Background and Source Clustering from Supermassive Binary Black Holes Based on Cosmological Simulation
Qing Yang, Xiao Guo, Zhoujian Cao +2
Several pulsar timing array (PTA) groups have recently claimed the detection of nanohertz gravitational wave background (GWB), but the origin of this gravitational wave (GW) signal…
Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion Priors
Shoujin Huang, Guanxiong Luo, Yunlin Zhao +8
Simultaneous multislice (SMS) imaging is a powerful technique for accelerating magnetic resonance imaging (MRI) acquisitions. However, SMS reconstruction remains challenging due to…
Tunable second harmornic in altermagnetic Josephson junctions
Hai-Peng Sun, Song-Bo Zhang, Chang-An Li +1
We study the influence of external electric and Zeeman fields on the Josephson effect in a planar superconductor/altermagnet/superconductor junction. Remarkably, we find that the c…
Enhancing Terrestrial Net Primary Productivity Estimation with EXP-CASA: A Novel Light Use Efficiency Model Approach
Guanzhou Chen, Kaiqi Zhang, Xiaodong Zhang +8
The Light Use Efficiency model, epitomized by the CASA model, is extensively applied in the quantitative estimation of vegetation Net Primary Productivity. However, the classic CAS…
Test-time generative augmentation for medical image segmentation
Xiao Ma, Yuhui Tao, Zetian Zhang +7
Medical image segmentation is critical for clinical diagnosis, treatment planning, and monitoring, yet segmentation models often struggle with uncertainties stemming from occlusion…
Quantization property of n-Laplacian mean field equation and sharp Moser-Onofri inequality
Lu Chen, Guozhen Lu, Bohan Wang
In this paper, we are concerned with the following -Laplacian mean field equation \[ \left\{ {\begin{array}{*{20}{c}} { - Δ_n u = λe^u} & {\rm in} \ \ Ω, \\ {\ \ \ \ u = 0} &\ {…
Dual-Capability Machine Learning Models for Quantum Hamiltonian Parameter Estimation and Dynamics Prediction
Zheng An, Jiahui Wu, Zidong Lin +3
Recent advancements in quantum hardware and classical computing simulations have significantly enhanced the accessibility of quantum system data, leading to an increased demand for…
Magnetic Bimeron Traveling on the Domain Wall
Jiwen Chen, Laichuan Shen, Hongyu An +5
Domain wall bimerons (DWBMs) are nanoscale spin textures residing within the magnetic domain walls of in-plane magnets. In this study, we employ both numerical and analytical metho…
Ensemble Control for Stochastic Systems with Asymmetric Laplace Noises
Yajie Yu, Xuehui Ma, Shiliang Zhang +4
This paper presents an adaptive ensemble control for stochastic systems subject to asymmetric noises and outliers. Asymmetric noises skew system observations, and outliers with lar…
Floquet dynamics of Rabi model beyond the counterrotating hybridized rotating wave method
Yingying Han, Shuanghao Zhang, Meijuan Zhang +3
Monochromatically driven two-level systems (i.e., Rabi models) are ubiquitous in various fields of physics. Though they have been exactly solved, the physical pictures in these exa…