Search Results for author: Xingjian Diao

Found 7 papers, 0 papers with code

GluMarker: A Novel Predictive Modeling of Glycemic Control Through Digital Biomarkers

no code implementations19 Apr 2024 Ziyi Zhou, Ming Cheng, Xingjian Diao, Yanjun Cui, Xiangling Li

This leaves a gap in expanding the scope of digital biomarkers for overall glycemic control in diabetes management.

Management

CrossGP: Cross-Day Glucose Prediction Excluding Physiological Information

no code implementations16 Apr 2024 Ziyi Zhou, Ming Cheng, Yanjun Cui, Xingjian Diao, Zhaorui Ma

Because diabetes may develop into potential serious complications, early glucose prediction for diabetic patients is necessary for timely medical treatment.

VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning

no code implementations11 Apr 2024 Ming Cheng, BoWen Zhang, Ziyu Wang, Ziyi Zhou, Weiqi Feng, Yi Lyu, Xingjian Diao

Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make informed decisions and navigate safely in dynamic environments.

Autonomous Driving Navigate +1

SAIC: Integration of Speech Anonymization and Identity Classification

no code implementations23 Dec 2023 Ming Cheng, Xingjian Diao, Shitong Cheng, Wenjun Liu

Speech anonymization and de-identification have garnered significant attention recently, especially in the healthcare area including telehealth consultations, patient voiceprint matching, and patient real-time monitoring.

Classification De-identification

FT2TF: First-Person Statement Text-To-Talking Face Generation

no code implementations9 Dec 2023 Xingjian Diao, Ming Cheng, Wayner Barrios, SouYoung Jin

This achievement highlights our model capability to bridge first-person statements and dynamic face generation, providing insightful guidance for future work.

Talking Face Generation

AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder

no code implementations15 Sep 2023 Xingjian Diao, Ming Cheng, Shitong Cheng

Learning high-quality video representation has shown significant applications in computer vision and remains challenging.

Video Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.