Haoran Yang

Orcid: 0000-0002-1183-767X

Affiliations:
  • Central South University, School of Computer Science and Engineering, Changsha, China
  • University of Technology Sydney, Australia (PhD 2025)


According to our database1, Haoran Yang authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng., December, 2024

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning.
CoRR, 2024

2023
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.
Inf. Sci., November, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT.
Proceedings of the 10th International Conference on Behavioural and Social Computing, 2023

2022
Federated Graph Contrastive Learning.
CoRR, 2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
CoRR, 2022

Dual Space Graph Contrastive Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles.
Proceedings of the International Joint Conference on Neural Networks, 2022

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Graph Data Mining in Recommender Systems.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021


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