292 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hong Kong Polytechnic UniversityHK7 papers
- Lianyungang Oriental HospitalCN7 papers
- Shanghai Maritime UniversityCN6 papers
- China University of Mining and TechnologyCN3 papers
- Ministry of Education of the People's Republic of ChinaCN2 papers
- Ping An (China)2 papers
- Shenzhen Institute of Information TechnologyCN2 papers
- Sun Yat-sen UniversityCN2 papers
- Xuzhou Central HospitalCN2 papers
- Baylor College of MedicineUS1 paper
- Beijing Tongren HospitalCN1 paper
- Cardiff Metropolitan UniversityGB1 paper
16 papers
LEL: Lipschitz Continuity Constrained Ensemble Learning for Efficient EEG-Based Intra-subject Emotion Recognition
Shengyu Gong, Yueyang Li, Zijian Kang +6
Accurate and efficient recognition of emotional states is critical for human social functioning, and impairments in this ability are associated with significant psychosocial diffic…
Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis
Yueyang Li, Lei Chen, Wenhao Dong +9
Developing interpretable models for neurodevelopmental disorders (NDDs) diagnosis presents significant challenges in effectively encoding, decoding, and integrating multimodal neur…
STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis
Wenhao Dong, Yueyang Li, Weiming Zeng +4
Many existing methods that use functional magnetic resonance imaging (fMRI) classify brain disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity dis…
Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image
Xiaojia Zhu, Rui Chen, Xiaoqi Guo +4
Scoliosis is one of the most common diseases in adolescents. Traditional screening methods for the scoliosis usually use radiographic examination, which requires certified experts…
CurvNet: Latent Contour Representation and Iterative Data Engine for Curvature Angle Estimation
Zhiwen Shao, Yichen Yuan, Lizhuang Ma +1
Curvature angle is a quantitative measurement of a curve, in which Cobb angle is customized for spinal curvature. Automatic Cobb angle measurement from X-ray images is crucial for…
EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation
Hongyu Chen, Weiming Zeng, Chengcheng Chen +9
In the fields of affective computing (AC) and brain-machine interface (BMI), the analysis of physiological and behavioral signals to discern individual emotional states has emerged…
STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
Wei Zhang, Weiming Zeng, Hongyu Chen +6
Accurate diagnosis of depression is crucial for timely implementation of optimal treatments, preventing complications and reducing the risk of suicide. Traditional methods rely on…
Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Yu Feng, Weiming Zeng, Yifan Xie +8
Background: Although it has been noticed that depressed patients show differences in processing emotions, the precise neural modulation mechanisms of positive and negative emotions…
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
Speech recognition systems are a key intermediary in voice-driven human-computer interaction. Although speech recognition works well for pristine monologic audio, real-life use cas…
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
Haitong Tang, Shuang He, Mengduo Yang +5
It is a challenging task to accurately perform semantic segmentation due to the complexity of real picture scenes. Many semantic segmentation methods based on traditional deep lear…
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning
Emad M. Grais, Xiaoya Wang, Jie Wang +6
Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation…
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
Ping Gong, Wenwen Yu, Qiuwen Sun +2
With the widespread success of deep learning in biomedical image segmentation, domain shift becomes a critical and challenging problem, as the gap between two domains can severely…
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
Wenwen Yu, Ning Lu, Xianbiao Qi +2
Computer vision with state-of-the-art deep learning models has achieved huge success in the field of Optical Character Recognition (OCR) including text detection and recognition ta…
MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
Ning Lu, Wenwen Yu, Xianbiao Qi +4
Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-dec…
A complete data processing workflow for CryoET and subtomogram averaging
Muyuan Chen, James M. Bell, Xiaodong Shi +3
Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomog…
A representation theorem for generators of BSDEs with general growth generators in and its applications
Lishun Xiao, Shengjun Fan
In this paper we first prove a general representation theorem for generators of backward stochastic differential equations (BSDEs for short) by utilizing a localization method invo…