Area of research
Artificial Intelligence · Experimental and Cognitive Psychology
Research interest
Research interests include Computer science, Artificial intelligence, Pronunciation, Sentiment analysis, Focus (optics), and Feature (linguistics).
Phoneme-Controlled LLM with Self-Supervised Speech Prompts for Mispronunciation Detection
SSEMGAT: Syntactic and Semantic Enhanced Multi-Layer Graph Attention Network for Aspect-Level Sentiment Analysis
Multi-Feature and Multi-Modal Mispronunciation Detection and Diagnosis Method Based on the Squeezeformer Encoder
A Multifaceted Approach to Oral Assessment Based on the Conformer Architecture
Part-of-Speech Tags Guide Low-Resource Machine Translation
Attention-CNN Combined With Multi-Layer Feature Fusion for English L2 Multi-Granularity Pronunciation Assessment
Pronunciation Error Detection Model Based On Feature Fusion
A Local and Global Context Focus Multilingual Learning Model for Aspect-Based Sentiment Analysis
Affective Knowledge Augmented Interactive Graph Convolutional Network for Chinese-Oriented Aspect-Based Sentiment Analysis
A Neural-Network-Based Approach to Chinese–Uyghur Organization Name Translation