Area of research
Artificial Intelligence · Experimental and Cognitive Psychology
Research interest
Research focused on Sentiment analysis and Artificial intelligence, with related work in Conditional random field, Speech recognition, Fluency. Notable publications include 'A Local and Global Context Focus Multilingual Learning Model for Aspect-Based Sentiment Analysis', 'Study and Implementing K-mean Clustering Algorithm on English Text and Techniques to Find the Optimal Value of K', and 'SSEMGAT: Syntactic and Semantic Enhanced Multi-Layer Graph Attention Network for Aspect-Level Sentiment Analysis'.
Automatic Speech Evaluation Method Leveraging Deep Feature Fusion
A multi-task hierarchical deep reinforcement network approach for word level pronunciation assessment
FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
A Multi-aspect Multi-granularity Pronunciation Assessment Method Based on Branchformer Encoder and Hierarchical Aggregation
Research on morphological knowledge-guided low-resource agglutinative languages-Chinese translation
Research on a Denoising Model for Entity-Relation Extraction Using Hierarchical Contrastive Learning with Distant Supervision
Dataset Construction for Learner-Based Chinese Answering Questions Scoring
Research on a denoising model for entity-relation extraction using hierarchical contrastive learning with distant supervision
Phoneme-Controlled LLM with Self-Supervised Speech Prompts for Mispronunciation Detection
Genre: generative multi-turn question answering with contrastive learning for entity–relation extraction
Syntax-guided controllable sentence simplification
Exploring Multimodal Information Fusion in Spoken Off-Topic Degree Assessment
SSEMGAT: Syntactic and Semantic Enhanced Multi-Layer Graph Attention Network for Aspect-Level Sentiment Analysis
Automatic Fluency Assessment Method for Spontaneous Speech without Reference Text
TransH-RA: A Learning Model of Knowledge Representation by Hyperplane Projection and Relational Attributes
Multi-Feature and Multi-Modal Mispronunciation Detection and Diagnosis Method Based on the Squeezeformer Encoder
Zero-Shot Relation Triple Extraction with Prompts for Low-Resource Languages
A Multifaceted Approach to Oral Assessment Based on the Conformer Architecture
Part-of-Speech Tags Guide Low-Resource Machine Translation
Integrating Reconstructor and Post-Editor into Neural Machine Translation
Strategies to Improve Low-Resource Agglutinative Languages Morphological Inflection
Attention-CNN Combined With Multi-Layer Feature Fusion for English L2 Multi-Granularity Pronunciation Assessment
Joint Learning Model for Low-Resource Agglutinative Language Morphological Tagging
RTGAC: RoBERTa-TCN-GRU-CRF combined attention mechanism for grammar error detection in spoken Chinese
A Bi-directional Attention Based End to End Mispronunciation Detection and Diagnosis of Mandarin
A cross-attention and Siamese network based model for off-topic detection
Pronunciation Error Detection Model Based On Feature Fusion
Multiple ensemble learning methods for Mandarin multisyllabic pronunciation assessment
Enhancing Whisper Model for Pronunciation Assessment with Multi-Adapters
A Local and Global Context Focus Multilingual Learning Model for Aspect-Based Sentiment Analysis