Area of research
Computer Vision and Pattern Recognition · Cognitive Neuroscience
Research interest
Research interests include EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Advanced Memory and Neural Computing, and Advanced Neural Network Applications.
Electrode Size Scaling and Electrochemical Performance in MRI‐Compatible Neural Interfacing
MSCPT: Few-Shot Whole Slide Image Classification With Multi-Scale and Context-Focused Prompt Tuning
CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation
MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration
Sputtered Iridium Oxide Coating of the Silicon Neural Probe as a Neural Interface for Single-Neuron Recording
Design and fabrication of wearable electronic textiles using twisted fiber-based threads
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge
Task decomposition strategy based on machine learning for boosting performance and identifying mechanisms in heterogeneous activation of peracetic acid process
Text-Oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception
Model-free adaptive trajectory tracking control of robotic manipulators with practical prescribed-time performance
3D human pose estimation with single image and inertial measurement unit (IMU) sequence
Towards Simultaneous Segmentation Of Liver Tumors And Intrahepatic Vessels Via Cross-Attention Mechanism
HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images
A Survey on Population-Based Deep Reinforcement Learning
Learning Modality-Specific and -Agnostic Representations for Asynchronous Multimodal Language Sequences
COMB-MCM: Computing-on-Memory-Boundary NN Processor with Bipolar Bitwise Sparsity Optimization for Scalable Multi-Chiplet-Module Edge Machine Learning
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space
Stpointgcn: Spatial Temporal Graph Convolutional Network for Multiple People Recognition Using Millimeter-Wave Radar
Curriculum Adversarial Training for Robust Reinforcement Learning
Large-area display textiles integrated with functional systems
TSA-Net: Tube Self-Attention Network for Action Quality Assessment
MMPoint-GNN: Graph Neural Network with Dynamic Edges for Human Activity Recognition through a Millimeter-Wave Radar
A Survey of Video-based Action Quality Assessment
Minimum ranks of sign patterns and zero–nonzero patterns and point–hyperplane configurations