A5006264499- Emotion and Mood Recognition
- Face and Expression Recognition
- Face recognition and analysis
- Advanced Chemical Sensor Technologies
- Fault Detection and Control Systems
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Reinforcement Learning in Robotics
- Robotic Path Planning Algorithms
- Neural dynamics and brain function
- Robot Manipulation and Learning
- Advanced Computing and Algorithms
- Multimodal Machine Learning Applications
- Topic Modeling
- Spectroscopy and Chemometric Analyses
- Natural Language Processing Techniques
Tongji University
2023-2024
Georgia State University
2022
Georgia Institute of Technology
2016-2022
Emory University
2022
Center for Translational Research in Neuroimaging and Data Science
2022
The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning from automation towards general embodied Artificial Intelligence (AI). Adopting foundation models together with traditional methods to increasingly gained recent interest research community and showed potential for real-life application. However, there are few literatures comprehensively reviewing the relatively new technologies combined robotics. purpose this review is systematically assess...
Abstract Resting-state functional magnetic resonance imaging (rsfMRI) has shown considerable promise for improving our understanding of brain function and characterizing various mental cognitive states in the healthy disordered brain. However, lack accurate precise estimations comparable patterns across datasets, individuals, ever-changing a way that captures both individual variation inter-subject correspondence limits clinical utility rsfMRI its application to single-subject analyses. We...
Chemicals released in the air can be extremely dangerous for human beings and environment. Hyperspectral images used to identify chemical plumes, however task challenging. Assuming we know a priori that some plume, with known frequency spectrum, has been photographed using hyperspectral sensor, use standard techniques like so called matched filter or adaptive cosine estimator, plus properly chosen threshold value, position of plume. However, due noise sensors fault, accurate identification...
Facial pose variation presents a significant challenge to facial expression recognition (FER) in real‐world applications. Significant bottlenecks exist the field of multiview (MFER) including lack high‐quality MFER datasets, and limited model robustness scenarios. Therefore, this article first introduces metahuman‐based dataset (MMED), which effectively addresses issues insufficient quantity quality existing datasets. Second, conditional cascade VGG (ccVGG) is proposed, can adaptively adjust...
Facial Expression Recognition In article number 2300210, Shuo Jiang, Jiahang Liu, and co-workers introduce an advanced multiview facial expression recognition system, which is trained on the proposed metahuman dataset uses few-shot learning algorithms to enhance robustness of non-frontal in real world, paving way for intuitive human–machine interaction.