Qingyun Sun

Orcid: 0000-0003-1930-3848

According to our database¹, Qingyun Sun authored at least 43 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Graph Information Bottleneck.

[BibT_eX]

[DOI]

CoRR, 2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Robust and Generalized Framework for Adversarial Graph Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding.

[BibT_eX]

[DOI]

Pattern Recognit., November, 2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., October, 2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.

[BibT_eX]

[DOI]

ACM Trans. Web, August, 2023

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Adaptive curvature exploration geometric graph neural network.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., May, 2023

Precise influence evaluation in complex networks.

[BibT_eX]

[DOI]

CoRR, 2023

Does Graph Distillation See Like Vision Dataset Counterpart?

[BibT_eX]

[DOI]

CoRR, 2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Graph Distillation See Like Vision Dataset Counterpart?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Automating DBSCAN via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Curvature Graph Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AIQoSer: Building the efficient Inference-QoS for AI Services.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Automating DBSCAN via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Structure Learning with Variational Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Convex Sparse Blind Deconvolution.

[BibT_eX]

[DOI]

Qingyun Sun

David L. Donoho

CoRR, 2021

Rice nitrogen nutrition estimation with RGB images and machine learning methods.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

GRAC: Self-Guided and Self-Regularized Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Recipe for Global Convergence Guarantee in Deep Neural Networks.

[BibT_eX]

[DOI]

Kenji Kawaguchi

Qingyun Sun

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

2020

PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

GRAC: Self-Guided and Self-Regularized Actor-Critic.

[BibT_eX]

[DOI]

CoRR, 2020

How to Close Sim-Real Gap? Transfer with Segmentation!

[BibT_eX]

[DOI]

CoRR, 2020

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM.

[BibT_eX]

[DOI]

CoRR, 2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Degrees of Freedom Analysis of Unrolled Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018

Neural Proximal Gradient Descent for Compressive Imaging.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Convolutional Imputation of Matrix Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

A PID Controller Approach for Stochastic Optimization of Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Bayesian Opponent Exploitation in Imperfect-Information Games.

[BibT_eX]

[DOI]

Sam Ganzfried

Qingyun Sun

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2016

Convolutional Imputation of Matrix Network.

[BibT_eX]

[DOI]

Qingyun Sun

Mengyuan Yan

Stephen P. Boyd

CoRR, 2016

Qingyun Sun

Timeline

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