Yihong Dong

Ningbo University — China

Computer Science · Physical Sciences

15h-index939citations101works3.82yr avg
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Research Topics

Topic Modeling(14), Natural Language Processing Techniques(13), Advanced Graph Neural Networks(12), Software Engineering Research(10), Complex Network Analysis Techniques(9)

Publications101 total

Attributed Network Representation Learning Based on Graph Neural Network: A Comprehensive Survey
Concurrency and Computation Practice and Experience·2025
Specification-Guided Vulnerability Detection with Large Language Models
arXiv (Cornell University)·2025Open Access
Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model
arXiv (Cornell University)·2025Open Access
Graph Data Augmentation for Graph Convolutional Networks Learning in Robust Mental Disorder Prediction with Limited and Noisy Labels
Journal of Computational Biology·2025
Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion
Lecture notes in computer science·2025
HomoNet: Enhancing Multi-Center Alzheimer's Disease Classification via Disentangling Homogeneous Features in Structural MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
A Survey on Code Generation with LLM-based Agents
arXiv (Cornell University)·2025Open Access
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
arXiv (Cornell University)·2025Open Access
Rethinking Repetition Problems of LLMs in Code Generation
arXiv (Cornell University)·2025Open Access
ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
2025· 5 cited
aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion
arXiv (Cornell University)·2025Open Access
Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
arXiv (Cornell University)·2025Open Access
Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease
Information·2025Open Access
Multiscale Spectral Augmentation for Graph Contrastive Learning for fMRI analysis to diagnose psychiatric disease
Knowledge-Based Systems·2025· 6 cited
Rethinking Repetition Problems of LLMs in Code Generation
2025· 1 citedOpen Access
Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data
IEEE Access·2025Open Access
Adaptive Cross-Variable Spectral Filtering for Time Series Forecasting
Lecture notes in computer science·2025
UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model
Lecture notes in computer science·2025· 1 cited
ORC-GNN: A novel open set recognition based on graph neural network for multi-class classification of psychiatric disorders
Information Fusion·2024· 5 cited
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
arXiv (Cornell University)·2024· 3 citedOpen Access
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Frequent Co-authors

Jiangbo Qian(15), Zhi Jin(9), Ge Li(7), Xiaoying Tai(6), Huahui Chen(5), Baisong Liu(4), Linlin Gao(4), Shoubo Peng(4), Xue Jiang(4), Ge Li(4), Ken Chen(3), Huanyu Liu(3), Yu Xin(3), Xin Yu(2), Jiacheng Pan(2), Haocai Lin(2), Yueting Zhuang(2), Xue Jiang(2), Rencheng Wu(2), Yu Xin(2)