Qingyun Sun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 69

Top Topics

Information Bottleneck

Graph Structure

Top Venues

Publications

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang
Motif-driven Subgraph Structure Learning for Graph Classification. CoRR (2024)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
Dynamic Graph Information Bottleneck. CoRR (2024)
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li
MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies. SDM (2024)
Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR (2024)
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR (2024)
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI (2024)
Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li
MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery. CoRR (2024)
Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. LREC/COLING (2024)
Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI (2024)
Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR (2024)
Qingyun Sun
Critical Structure-aware Graph Neural Networks. ACM TUR-C (2024)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
Dynamic Graph Information Bottleneck. WWW (2024)
Zichao Shen, Tianchen Zhu, Qingyun Sun, Shiqi Gao, Jianxin Li
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs. CoRR (2024)
Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR (2023)
Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. 65 (10) (2023)
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI (2023)
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR (2023)
Bingyu Zhu, Qingyun Sun, Jianxin Li, Daqing Li
Precise influence evaluation in complex networks. CoRR (2023)
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65 (5) (2023)
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR (2023)
Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS (2023)
Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. 143 (2023)
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. CoRR (2023)
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17 (3) (2023)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR (2023)
Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM (2023)
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR (2023)
Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS (2023)
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW (2023)
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM (2022)
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
Curvature Graph Generative Adversarial Networks. CoRR (2022)
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM (2022)
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
Graph Structure Learning with Variational Information Bottleneck. AAAI (2022)
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR (2022)
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR (2022)
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
Curvature Graph Generative Adversarial Networks. WWW (2022)
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
Automating DBSCAN via Deep Reinforcement Learning. CIKM (2022)
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu
Automating DBSCAN via Deep Reinforcement Learning. CoRR (2022)
Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu
AIQoSer: Building the efficient Inference-QoS for AI Services. IWQoS (2022)
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. CoRR (2022)
Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRL (2021)
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
Graph Structure Learning with Variational Information Bottleneck. CoRR (2021)
Kenji Kawaguchi, Qingyun Sun
A Recipe for Global Convergence Guarantee in Deep Neural Networks. CoRR (2021)
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. CoRR (2021)
Peihua Shi, Yuan Wang, Jianmin Xu, Yanling Zhao, Baolin Yang, Zhengqi Yuan, Qingyun Sun
Rice nitrogen nutrition estimation with RGB images and machine learning methods. Comput. Electron. Agric. 180 (2021)
Kenji Kawaguchi, Qingyun Sun
A Recipe for Global Convergence Guarantee in Deep Neural Networks. AAAI (2021)
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR (2021)
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM (2021)
Qingyun Sun, David L. Donoho
Convex Sparse Blind Deconvolution. CoRR (2021)
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR (2021)
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. WWW (2021)
Lin Shao, Yifan You, Mengyuan Yan, Qingyun Sun, Jeannette Bohg
GRAC: Self-Guided and Self-Regularized Actor-Critic. CoRR (2020)
Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz
How to Close Sim-Real Gap? Transfer with Segmentation! CoRR (2020)
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM (2020)
Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM. CoRR (2020)
Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR (2020)
Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR (2019)
Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. ICML (2019)
Qingyun Sun, Linkai Luo, Hong Peng, Chaojie An
A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network. ICCSE (2019)
Sam Ganzfried, Qingyun Sun
Bayesian Opponent Exploitation in Imperfect-Information Games. AAAI Spring Symposia (2018)
Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS (2018)
Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd
Convolutional Imputation of Matrix Networks. ICML (2018)
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
Neural Proximal Gradient Descent for Compressive Imaging. CoRR (2018)
Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang
A PID Controller Approach for Stochastic Optimization of Deep Networks. CVPR (2018)
Sam Ganzfried, Qingyun Sun
Bayesian Opponent Exploitation in Imperfect-Information Games. CIG (2018)
Qingyun Sun, Mengyuan Yan, Stephen P. Boyd
Convolutional Imputation of Matrix Network. CoRR (2016)