5 citations · 8 across the 11 of their papers we have counts for
11 papers
GDAIP: A Graph-Based Domain Adaptive Framework for Individual Brain Parcellation
Jianfei Zhu, Haiqi Zhu, Shaohui Liu +3
Recent deep learning approaches have shown promise in learning such individual brain parcellations from functional magnetic resonance imaging (fMRI). However, most existing methods…
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding
Hao Guo, Jianfei Zhu, Wei Fan +2
Referring expression comprehension (REC) aims at achieving object localization based on natural language descriptions. However, existing REC approaches are constrained by object ca…
Impact of Cognitive Load on Human Trust in Hybrid Human-Robot Collaboration
Hao Guo, Bangan Wu, Qi Li +3
Human trust plays a crucial role in the effectiveness of human-robot collaboration. Despite its significance, the development and maintenance of an optimal trust level are obstruct…
AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding
Hao Guo, Wei Fan, Baichun Wei +4
Embodied reference understanding is crucial for intelligent agents to predict referents based on human intention through gesture signals and language descriptions. This paper intro…
An Adaptively Weighted Averaging Method for Regional Time Series Extraction of fMRI-based Brain Decoding
Jianfei Zhu, Baichun Wei, Jiaru Tian +2
Brain decoding that classifies cognitive states using the functional fluctuations of the brain can provide insightful information for understanding the brain mechanisms of cognitiv…
BDEC:Brain Deep Embedded Clustering model
Xiaoxiao Ma, Chunzhi Yi, Zhicai Zhong +4
An essential premise for neuroscience brain network analysis is the successful segmentation of the cerebral cortex into functionally homogeneous regions. Resting-state functional m…
ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition
Baichun Wei, Chunzhi Yi, Qi Zhang +3
Deep learning-based human activity recognition (HAR) methods have shown great promise in the applications of smart healthcare systems and wireless body sensor network (BSN). Despit…
Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study on Walking
Chunzhi Yi, Xiaolei Sun, Chunyu Zhang +4
Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Me…
Detecting and Correcting IMU Movements During Joint Angle Estimation
Chunzhi Yi, Feng Jiang, Baichun Wei +4
Inertial measurement units (IMUs) increasingly function as a basic component of wearable sensor network (WSN)systems. IMU-based joint angle estimation (JAE) is a relatively typical…
Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals
Chunzhi Yi, Feng Jiang, Shengping Zhang +6
The fast-growing techniques of measuring and fusing multi-modal biomedical signals enable advanced motor intent decoding schemes of lowerlimb exoskeletons, meeting the increasing d…
Sensor-Movement-Robust Angle Estimation for 3-DoF Lower Limb Joints Without Calibration
Chunzhi Yi, Feng Jiang, Zhiyuan Chen +5
Inertial measurement unit (IMU)-based 3-DoF angle estimation methods for lower limb joints have been studied for decades, however the calibration motions and/or careful sensor plac…