Ruijie Yao

Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition

Diabetic macular edema (DME) significantly contributes to visual impairment in diabetic patients. Treatment responses to intravitreal therapies vary, highlighting the need for patient...

Paean: A parallel transcriptome quantification tool combining gene expression and alternative splicing events using GPU

Noninvasive detection of diabetes in obstructive sleep apnea based on overnight SpO2 signal and deep learning

GKGNet: Group K-Nearest Neighbor Based Graph Convolutional Network for Multi-label Image Recognition

UniFS: Universal Few-Shot Instance Perception with Point Representations

Feature Anchors for Time-Series Sensor-Based Human Activity Recognition

Wearable Human Activity Recognition (HAR) still lacks a representation that is both explicit and adaptable. Handcrafted time-series features (TSFs) capture meaningful motion statistics and remain...

Investigation on the Robustness of Acoustic Foundation Models on Post Exercise Speech

Automatic speech recognition (ASR) has been extensively studied on neutral and stationary speech, yet its robustness under post-exercise physiological shift remains underexplored. Compared with...

UniFS: Universal Few-shot Instance Perception with Point Representations

Instance perception tasks (object detection, instance segmentation, pose estimation, counting) play a key role in industrial applications of visual models. As supervised learning methods suffer...

GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition

Multi-Label Image Recognition (MLIR) is a challenging task that aims to predict multiple object labels in a single image while modeling the complex relationships between labels and image regions....