Area of research
Artificial Intelligence · Signal Processing
Research interest
Research focused on Diffusion and Convolutional neural network, with related work in Code (set theory), Metadata, Optics. Notable publications include 'Deep Dynamic Network Embedding for Link Prediction', 'Rapid and High-Throughput Determination of Sixteen β-agonists in Livestock Meat Using One-Step Solid-Phase Extraction Coupled with UHPLC-MS/MS', and 'Piecewise Position Encoding in Convolutional Neural Network for Cough-Based Covid-19 Detection'.
Quantifying ultrasound echogenicity difference for accurate chronic kidney disease diagnosis
UnitDiff: A Unit-Diffusion Model for Code-Switching Speech Synthesis
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata
ZCS-CDiff: A Zero-Shot Code-Switching TTS System with Conformer-Based Diffusion Model
High-flux and high-resolution coded-source radiography based on picosecond laser-irradiated tube targets
TV-MDiff: A Zero-Shot Text-To-Speech and Zero-Shot Voice Conversion System with Mamba-Based Diffusion Model
CosDiff: Code-Switching TTS Model Based on A Multi-Task DDIM
Piecewise Position Encoding in Convolutional Neural Network for Cough-Based Covid-19 Detection
Rapid and High-Throughput Determination of Sixteen β-agonists in Livestock Meat Using One-Step Solid-Phase Extraction Coupled with UHPLC-MS/MS
Cough-based COVID-19 Detection with Multi-band Long-Short Term Memory and Convolutional Neural Networks
Deep Dynamic Network Embedding for Link Prediction