Hong Yang

Orcid: 0000-0002-4328-335X

Affiliations:
  • Guangzhou University, Cyberspace Institute of Advanced Technology, Guangzhou, China
  • University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, Ultimo, Australia (PhD 2020)
  • MathWorks, Beijing, China
  • MathWorks, Natick, MA, USA


According to our database1, Hong Yang authored at least 40 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search.
CoRR, February, 2025

Automated graph anomaly detection with large language models.
Knowl. Based Syst., 2025

One multimodal plugin enhancing all: CLIP-based pre-training framework enhancing multimodal item representations in recommendation systems.
Neurocomputing, 2025

2024
A review of machine learning-based methods for predicting drug-target interactions.
Health Inf. Sci. Syst., December, 2024

BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction.
Briefings Bioinform., 2024

Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

Federated Spectral Graph Neural Networks.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

GraphNAS++: Distributed Architecture Search for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.
Pattern Recognit., 2023

Heterogeneous Graph Neural Architecture Search with GPT-4.
CoRR, 2023

CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2023

Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.
Proceedings of the Health Information Science - 12th International Conference, 2023

A Review on Predicting Drug Target Interactions Based on Machine Learning.
Proceedings of the Health Information Science - 12th International Conference, 2023

2022
Discrete embedding for attributed graphs.
Pattern Recognit., 2022

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks.
IEEE J. Sel. Top. Signal Process., 2022

2021
Towards embedding information diffusion data for understanding big dynamic networks.
Neurocomputing, 2021

RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation.
Neurocomputing, 2021

Temporal sensitive heterogeneous graph neural network for news recommendation.
Future Gener. Comput. Syst., 2021

Unsupervised feature selection for attributed graphs.
Expert Syst. Appl., 2021

2020
Social Recommendation With Evolutionary Opinion Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Discrete Embedding for Latent Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Exploratory Adversarial Attacks on Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Diffusion network embedding.
Pattern Recognit., 2019

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning.
CoRR, 2019

Low-Bit Quantization for Attributed Network Representation Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Active Learning for Anchor User Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
iWalk: Interest-Aware Random Walk for Network Embedding.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Discriminative Network Representation Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recommendation with Multi-Source Heterogeneous Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov., 2017

2016
Query expansion for exploratory search with subtopic discovery in Community Question Answering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semi-Data-Driven Network Coarsening.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Global and Local Influence-based Social Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Collaborative Social Group Influence for Event Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2008
ECG Signal Denoising - Using Wavelet in Besov Spaces.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008


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