Feng Liu
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View article: B-Value Spatiotemporal Changes and Aftershock Correlation Prior to the Mwg 7.1 Dingri Earthquake in Southern Tibet: Implications for Land Deformation and Seismic Risk
B-Value Spatiotemporal Changes and Aftershock Correlation Prior to the Mwg 7.1 Dingri Earthquake in Southern Tibet: Implications for Land Deformation and Seismic Risk Open
This study investigates spatiotemporal b value variations and seismic interaction networks preceding the Mwg 7.1 Dingri earthquake that struck southern Tibet on 7 January 2025. Using relocated earthquake catalogs (2021–2025) and dual-metho…
Observation of , Test of Lepton Flavor Universality, and First Angular Analysis of Open
Novel measurement of the strong-phase difference between and decays using -even and -odd quantum-correlated pairs Open
View article: Search for a hypothetical gauge boson and dark photons in charmonium transitions
Search for a hypothetical gauge boson and dark photons in charmonium transitions Open
We report a direct search for a new gauge boson, $X$, with a mass of $17~\text{MeV}/c^2$, which could explain the anomalous excess of $e^+e^-$ pairs observed in the $^8\text{Be}$ nuclear transitions. The search is conducted in the charmoni…
View article: Efficient hybrid fuzzy weighted 3D FCNN with TSO PSO optimization for accurate multi modal MRI brain tumor classification
Efficient hybrid fuzzy weighted 3D FCNN with TSO PSO optimization for accurate multi modal MRI brain tumor classification Open
View article: Search for Sub-GeV Invisible Particles in Inclusive Decays of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>J</mml:mi><mml:mo>/</mml:mo><mml:mi>ψ</mml:mi></mml:math> to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>ϕ</mml:mi></mml:math>
Search for Sub-GeV Invisible Particles in Inclusive Decays of to Open
A search for an invisible particle, X, with a mass between 0 and 0.96 GeV/c2, is performed in the process J/ψ→ϕ+X using (8774.0±39.4)×106 J/ψ events collected with the BESIII detector from 2017 to 2019. The ϕ meson is fully reconstructed…
View article: Mitigating the Stability–Plasticity Trade-Off in Neural Networks via Shared Extractors in Class-Incremental Learning
Mitigating the Stability–Plasticity Trade-Off in Neural Networks via Shared Extractors in Class-Incremental Learning Open
Humans learn new tasks without forgetting, but neural networks suffer from catastrophic forgetting when trained sequentially. Dynamic expandable networks attempt to address this by assigning each task its own feature extractor and freezing…
View article: First Observation of Quantum Correlations in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>e</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:mi>X</mml:mi><mml:mi>D</mml:mi><mml:mover accent="true"><mml:mi>D</mml:mi><mml:mo stretchy="true">¯</mml:mo></mml:mover></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>C</mml:mi></mml:math>-Even Constrained <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mover accent="true"><mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="true">¯</mml:mo></mml:mrow></mml:mover></mml:mrow></mml:math> Pairs
First Observation of Quantum Correlations in and -Even Constrained Pairs Open
The study of meson pairs produced with quantum correlations gives direct access to parameters that are challenging to measure in other systems. In this Letter, the existence of quantum correlations due to charge-conjugation symmetry C are …
View article: Evaluating Psychological Competency via Chinese Q&A in Large Language Models
Evaluating Psychological Competency via Chinese Q&A in Large Language Models Open
Recently, the application of large language models (LLMs) in psychology has gained increasing attention. However, their psychological competence still requires further investigation. This study explores this issue through the lens of Chine…
View article: Observation of Three Resonant Structures in the Cross Section of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>e</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mi>π</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>π</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:msub><mml:mi>h</mml:mi><mml:mi>c</mml:mi></mml:msub></mml:math>
Observation of Three Resonant Structures in the Cross Section of Open
Using e+e− collision data collected with the BESIII detector operating at the Beijing electron positron collider, the cross section of e+e−→π+π−hc is measured at 59 points with center-of-mass energy s ranging from 4.009 to 4.950 GeV with a…
View article: Dynamic Bearing–Angle for Vision-Based UAV Target Motion Analysis
Dynamic Bearing–Angle for Vision-Based UAV Target Motion Analysis Open
The Bearing–Angle algorithm effectively improves the observability of vision-based motion estimation for moving targets by combining the dimensional information of target detection frames. However, the robustness of this algorithm will be …
View article: Action Unit Enhance Dynamic Facial Expression Recognition
Action Unit Enhance Dynamic Facial Expression Recognition Open
Dynamic Facial Expression Recognition(DFER) is a rapidly evolving field of research that focuses on the recognition of time-series facial expressions. While previous research on DFER has concentrated on feature learning from a deep learnin…
View article: Updated model-independent measurement of the strong-phase differences between D0 and $$ {\overline{\textrm{D}}}^0\to {\textrm{K}}_{\textrm{S}/\textrm{L}}^0{\uppi}^{+}{\uppi}^{-} $$ decays
Updated model-independent measurement of the strong-phase differences between D0 and $$ {\overline{\textrm{D}}}^0\to {\textrm{K}}_{\textrm{S}/\textrm{L}}^0{\uppi}^{+}{\uppi}^{-} $$ decays Open
View article: Seeing the macro in the micro: a diffusion model-based approach for style transfer in cellular images
Seeing the macro in the micro: a diffusion model-based approach for style transfer in cellular images Open
The internal structures of cells as the basic units of life are a major wonder of the microscopic world. Cellular images provide an intriguing window to help explore and understand the composition and function of these structures. Scientif…
View article: TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognition
TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognition Open
The fusion technique is the key to the multimodal emotion recognition task. Recently, cross-modal attention-based fusion methods have demonstrated high performance and strong robustness. However, cross-modal attention suffers from redundan…
View article: Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion, and Multiphysics Extension
Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion, and Multiphysics Extension Open
Full waveform inversion (FWI) is a high-resolution subsurface imaging technique, but its effectiveness is limited by challenges such as noise contamination, sparse acquisition, and artifacts from multiparameter coupling. To address these l…
View article: Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach Open
In the realm of computer graphics, the ability to learn continuously from non-stationary data streams while adapting to new visual patterns and mitigating catastrophic forgetting is of paramount importance. Existing approaches often strugg…
View article: Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach Open
In the realm of computer graphics, the ability to learn continuously from non-stationary data streams while adapting to new visual patterns and mitigating catastrophic forgetting is of paramount importance. Existing approaches often strugg…
View article: Sensomics-based characterization of perceptual interactions between key odorants and polyphenols in Wuzhishan black tea
Sensomics-based characterization of perceptual interactions between key odorants and polyphenols in Wuzhishan black tea Open
View article: Robust Dynamic Facial Expression Recognition
Robust Dynamic Facial Expression Recognition Open
The study of Dynamic Facial Expression Recognition (DFER) is a nascent field of research that involves the automated recognition of facial expressions in video data. Although existing research has primarily focused on learning representati…
View article: Single Inclusive $π^\pm$ and $K^\pm$ Production in $e^+e^-$ Annihilation at center-of-mass Energies from 2.000 to 3.671GeV
Single Inclusive $π^\pm$ and $K^\pm$ Production in $e^+e^-$ Annihilation at center-of-mass Energies from 2.000 to 3.671GeV Open
Using data samples with a total integrated luminosity of 253 $\rm pb^{-1}$ collected by the BESIII detector operating at the BEPCII collider, the differential cross-sections of inclusive $π^\pm$ and $K^\pm$ production, as a function of mom…
View article: Dual-Modality Transformer with Time Series Imaging for Robust Epileptic Seizure Prediction
Dual-Modality Transformer with Time Series Imaging for Robust Epileptic Seizure Prediction Open
Automated EEG classification algorithms for seizures can facilitate the clinical diagnosis of epilepsy, enabling more expedient and precise classification. However, existing EEG signal preprocessing methods oriented towards artifact remova…
View article: GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention Open
Electrocardiogram (ECG) analysis plays a crucial role in diagnosing cardiovascular diseases, but accurate interpretation of these complex signals remains challenging. This paper introduces a novel multimodal framework(GAF-FusionNet) for EC…
View article: STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs Open
Electroencephalogram (EEG) signals play a pivotal role in biomedical research and clinical applications, including epilepsy diagnosis, sleep disorder analysis, and brain-computer interfaces. However, the effective analysis and interpretati…
View article: OCC-PAD-OCEAN:An Quantitative Perceptible Modeling of Big Five Personality Based on Computational Affection
OCC-PAD-OCEAN:An Quantitative Perceptible Modeling of Big Five Personality Based on Computational Affection Open
In the field of human-centred artificial intelligence, there is an increasing focus on the development of AI systems that can be interpreted and quantified from a psychological perspective. This study represents an interdisciplinary fusion…
View article: Exploring Inner Speech Recognition via Cross-Perception Approach in EEG and fMRI
Exploring Inner Speech Recognition via Cross-Perception Approach in EEG and fMRI Open
Multimodal brain signal analysis has shown great potential in decoding complex cognitive processes, particularly in the challenging task of inner speech recognition. This paper introduces an innovative I nner Speech Recognition via Cross-P…
View article: Emotion Loss Attacking: Adversarial Attack Perception for Skeleton based on Multi-dimensional Features
Emotion Loss Attacking: Adversarial Attack Perception for Skeleton based on Multi-dimensional Features Open
Adversarial attack on skeletal motion is a hot topic. However, existing researches only consider part of dynamic features when measuring distance between skeleton graph sequences, which results in poor imperceptibility. To this end, we pro…
View article: IDP-YOLOV9: Improvement of Object Detection Model in Severe Weather Scenarios from Drone Perspective
IDP-YOLOV9: Improvement of Object Detection Model in Severe Weather Scenarios from Drone Perspective Open
Despite their proficiency with typical environmental datasets, deep learning-based object detection algorithms struggle when faced with diverse adverse weather conditions. Moreover, existing methods often address single adverse weather sce…
View article: SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN
SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN Open
To tackle the intricate challenges associated with the low detection accuracy of images taken by unmanned aerial vehicles (UAVs), arising from the diverse sizes and types of objects coupled with limited feature information, we present the …
View article: Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition
Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition Open
The mainstream paradigm of speech emotion recognition (SER) is identifying\nthe single emotion label of the entire utterance. This line of works neglect\nthe emotion dynamics at fine temporal granularity and mostly fail to leverage\nlingui…