Yihong Dong

Orcid: 0000-0001-6228-4019

According to our database1, Yihong Dong authored at least 50 papers between 2012 and 2024.

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Bibliography

2024
A Graph Contrastive Learning Model Based on Structural and Semantic View for HIN Recommendation.
Neural Process. Lett., February, 2024

A novel study for depression detecting using audio signals based on graph neural network.
Biomed. Signal Process. Control., February, 2024

Animation line art colorization based on the optical flow method.
Comput. Animat. Virtual Worlds, 2024

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation.
CoRR, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
CoRR, 2024

A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Fusing heterogeneous information for multi-modal attributed network embedding.
Appl. Intell., October, 2023

A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention.
Mach. Vis. Appl., September, 2023

A gated graph attention network based on dual graph convolution for node embedding.
Appl. Intell., September, 2023

A time sequence coding based node-structure feature model oriented to node classification.
Expert Syst. Appl., August, 2023

Swin transformer-based supervised hashing.
Appl. Intell., July, 2023

Multimodal heterogeneous graph attention network.
Neural Comput. Appl., February, 2023

Preference-corrected multimodal graph convolutional recommendation network.
Appl. Intell., February, 2023

Linking online and offline intergenerational knowledge transfer to younger employees' innovative work behaviors: evidence from Chinese hospitals.
J. Knowl. Manag., 2023

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model.
CoRR, 2023

Self-collaboration Code Generation via ChatGPT.
CoRR, 2023

Self-planning Code Generation with Large Language Model.
CoRR, 2023

SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention.
CoRR, 2023

CodeScore: Evaluating Code Generation by Learning Code Execution.
CoRR, 2023

A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning.
Biomed. Signal Process. Control., 2023

An Audio Correlation-Based Graph Neural Network for Depression Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Distracted Driver Detection Based on a CNN With Decreasing Filter Size.
IEEE Trans. Intell. Transp. Syst., 2022

Antecedent Predictions Are Dominant for Tree-Based Code Generation.
CoRR, 2022

MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
Comput. Biol. Medicine, 2022

The deep fusion of topological structure and attribute information for anomaly detection in attributed networks.
Appl. Intell., 2022

Mental Disorders Prediction with Heterogeneous Graph Convolutional Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Incorporating domain knowledge through task augmentation for front-end JavaScript code generation.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
SR2CNN: Zero-Shot Learning for Signal Recognition.
IEEE Trans. Signal Process., 2021

SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition.
IEEE Trans. Cogn. Commun. Netw., 2021

Efficient Algorithms for Rotation Averaging Problems.
Proc. ACM Comput. Graph. Interact. Tech., 2021

Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition.
CoRR, 2021

CapsNet-based supervised hashing.
Appl. Intell., 2021

Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

2020
A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence.
Sci. Program., 2020

AVBH: Asymmetric Learning to Hash with Variable Bit Encoding.
Sci. Program., 2020

A Ranking-Based Hashing Algorithm Based on the Distributed Spark Platform.
Inf., 2020

Measurement of Text Similarity: A Survey.
Inf., 2020

A Gibbs sampling based coordination scheduling method with fixed I/O constraint.
Comput. Ind. Eng., 2020

A PoL Protocol for Spatiotemporal Blockchain.
Proceedings of the Security and Privacy in Digital Economy, 2020

Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

LTG-LSM: The Optimal Structure in LSM-tree Combined with Reading Hotness.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019
Dynamic Network Embedding for Link Prediction.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018
面向复杂网络的图稀疏算法综述 (Survey of Graph Sparsification Algorithms for Complex Networks).
计算机科学, 2018

2013
A Study on Privacy Preservation for Multi-user and Multi-granularity.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
An embedded co-processor for accelerating window joins over uncertain data streams.
Microprocess. Microsystems, 2012

Clustering-Based k-Anonymity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Enhancing Utility and Privacy-Safety via Semi-homogenous Generalization.
Proceedings of the Database and Expert Systems Applications, 2012


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