Qingyun Sun

According to our database, Qingyun Sun authored at least 54 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li

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

Scaling Law Hypothesis for Multimodal Model.

Qingyun Sun, Zhen Guo

CoRR, 2024

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

Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu

CoRR, 2024

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

Zichao Shen, Tianchen Zhu, Qingyun Sun, Shiqi Gao, Jianxin Li

CoRR, 2024

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

Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu

CoRR, 2024

Motif-driven Subgraph Structure Learning for Graph Classification.

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang

CoRR, 2024

Dynamic Graph Information Bottleneck.

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li

Proceedings of the ACM on Web Conference 2024, 2024

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

Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li

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

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

Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li

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.

Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

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

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

Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li

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

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

Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li

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.

Ziqi Yuan, Haoyi Zhou, Qingyun Sun, Jianxin Li

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

Critical Structure-aware Graph Neural Networks.

Qingyun Sun

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.

Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu

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

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.

Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

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

2023

A Robust and Generalized Framework for Adversarial Graph Embedding.

Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He

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

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

Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li

Pattern Recognit., November, 2023

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

Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Knowl. Inf. Syst., October, 2023

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

Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie

ACM Trans. Web, August, 2023

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining.

Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu

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

Adaptive curvature exploration geometric graph neural network.

Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu

Knowl. Inf. Syst., May, 2023

Precise influence evaluation in complex networks.

Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li

CoRR, 2023

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

Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li

Proceedings of the ACM Web Conference 2023, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.

Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu

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

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

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

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?

Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li

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.

Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu

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

2022

Automating DBSCAN via Deep Reinforcement Learning.

Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu

CoRR, 2022

Curvature Graph Generative Adversarial Networks.

Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng

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.

Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu

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

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.

Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Proceedings of the IEEE International Conference on Data Mining, 2022

Automating DBSCAN via Deep Reinforcement Learning.

Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu

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.

Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu

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

Graph Structure Learning with Variational Information Bottleneck.

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu

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

2021

Convex Sparse Blind Deconvolution.

Qingyun Sun, David L. Donoho

CoRR, 2021

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

Peihua Shi, Yuan Wang, Jianmin Xu, Yanling Zhao, Baolin Yang, Zhengqi Yuan, Qingyun Sun

Comput. Electron. Agric., 2021

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

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He

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

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

Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg

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

A Recipe for Global Convergence Guarantee in Deep Neural Networks.

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.

Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg

CoRR, 2020

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

Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz

CoRR, 2020

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM.

Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun

CoRR, 2020

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

Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He

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

2019

Degrees of Freedom Analysis of Unrolled Neural Networks.

Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho

CoRR, 2019

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

Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun

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.

Qingyun Sun, Linkai Luo, Hong Peng, Chaojie An

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

2018

Neural Proximal Gradient Descent for Compressive Imaging.

Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly

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

Convolutional Imputation of Matrix Networks.

Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd

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

A PID Controller Approach for Stochastic Optimization of Deep Networks.

Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang

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

Bayesian Opponent Exploitation in Imperfect-Information Games.

Sam Ganzfried, Qingyun Sun

Proceedings of the 2018 AAAI Spring Symposia, 2018

2016

Convolutional Imputation of Matrix Network.

Qingyun Sun, Mengyuan Yan, Stephen P. Boyd

CoRR, 2016