Han Yang

Orcid: 0000-0003-2782-7502

Affiliations:

Chinese University of Hong Kong, Hong Kong, SAR, China

According to our database¹, Han Yang authored at least 17 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Solving the non-submodular network collapse problems via Decision Transformer.

[BibT_eX]

[DOI]

Neural Networks, 2024

2023

Calibrating and Improving Graph Contrastive Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification.

[BibT_eX]

[DOI]

CoRR, 2023

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Pareto Invariant Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2022

Invariance Principle Meets Out-of-Distribution Generalization on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization.

[BibT_eX]

[DOI]

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Exact Shape Correspondence via 2D graph convolution.

[BibT_eX]

[DOI]

Barakeel Fanseu Kamhoua

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding and Improving Graph Injection Attack by Promoting Unnoticeability.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving Graph Representation Learning by Contrastive Regularization.

[BibT_eX]

[DOI]

Barakeel Fanseu Kamhoua

James Cheng

CoRR, 2021

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Rethinking Graph Regularization for Graph Neural Networks.

[BibT_eX]

[DOI]

Han Yang

Kaili Ma

James Cheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.

[BibT_eX]

[DOI]

CoRR, 2020

Edit Distance Embedding using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Convolutional Embedding for Edit Distance.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Han Yang

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