Qingyun Sun

Orcid: 0000-0003-1930-3848

According to our database¹, Qingyun Sun authored at least 105 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization.

[BibT_eX]

[DOI]

CoRR, March, 2026

Training-Free Sparse Attention for Fast Video Generation via Offline Layer-Wise Sparsity Profiling and Online Bidirectional Co-Clustering.

[BibT_eX]

[DOI]

CoRR, March, 2026

Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG.

[BibT_eX]

[DOI]

CoRR, March, 2026

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts.

[BibT_eX]

[DOI]

CoRR, February, 2026

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search.

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[DOI]

CoRR, February, 2026

Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models.

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[DOI]

CoRR, January, 2026

IMMix: Class-Imbalanced node classification via prototypical selective mixup augmentation.

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[DOI]

Pattern Recognit., 2026

Rethinking heterophilic graph learning via graph curvature.

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[DOI]

Knowl. Based Syst., 2026

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Towards Geometry-Consistent Federated Graph Learning.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model.

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[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective.

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[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Entropy-Based Active Learning for Precise Influence Evaluation in Complex Networks.

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[DOI]

IEEE Trans. Syst. Man Cybern. Syst., December, 2025

SA<sup>2</sup>GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation.

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[DOI]

CoRR, December, 2025

GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning.

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CoRR, November, 2025

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation.

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CoRR, November, 2025

Robust Graph Condensation via Classification Complexity Mitigation.

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CoRR, October, 2025

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction.

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[DOI]

CoRR, October, 2025

Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing.

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[DOI]

IEEE Trans. Knowl. Data Eng., September, 2025

Adaptive dynamic graphs for anomaly detection via inter- and intra-diffusion.

[BibT_eX]

[DOI]

Ziqi Yuan

Haoyi Zhou

Qingyun Sun

Int. J. Mach. Learn. Cybern., September, 2025

SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning.

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[DOI]

CoRR, September, 2025

A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models.

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[DOI]

Int. J. Mach. Learn. Cybern., August, 2025

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning.

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[DOI]

CoRR, July, 2025

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, July, 2025

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs.

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[DOI]

CoRR, May, 2025

BotUmc: An Uncertainty-Aware Twitter Bot Detection with Multi-view Causal Inference.

[BibT_eX]

[DOI]

CoRR, March, 2025

Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples.

[BibT_eX]

[DOI]

Neural Networks, 2025

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification.

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[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks.

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[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

OS-GCL: A One-Shot Learner in Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees.

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[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VLM-PI: Power Inspection System Based on Visual Large Models.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Frontiers in Graph Machine Learning for the Large Model Era.

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[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Prompt-based Unifying Inference Attack on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Discrete Curvature Graph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CausalFD: causal invariance-based fraud detection against camouflaged preference.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., November, 2024

Scaling Law Hypothesis for Multimodal Model.

[BibT_eX]

[DOI]

Qingyun Sun

Zhen Guo

CoRR, 2024

Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Motif-driven Subgraph Structure Learning for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Graph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

GC-Bench: An Open and Unified Benchmark for Graph Condensation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Critical Structure-aware Graph Neural Networks.

[BibT_eX]

[DOI]

Qingyun Sun

Proceedings of the ACM Turing Award Celebration Conference 2024, 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

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!

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[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.

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[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

Legend:

Links

On csauthors.net:

Bibliography

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