Qingyun Sun

发表

A PID Controller Approach for Stochastic Optimization of Deep Networks

Qionghai Dai, Jun Xu, Lei Zhang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Distributional Robust Kelly Gambling

Stephen P. Boyd, Qingyun Sun, 2018 .

Neural Proximal Gradient Descent for Compressive Imaging

Morteza Mardani, Qingyun Sun, Hatef Monajemi, 2018, NeurIPS.

Convex Sparse Blind Deconvolution: Phase Transition, Observation Sample Complexity, Stability, Robustness

D. Donoho, Qingyun Sun, 2020 .

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM pdf

Qingyun Sun, Chris Junchi Li, Xiang Zhou, 2020, ArXiv.

AIQoSer: Building the efficient Inference-QoS for AI Services

Chunming Hu, Qingyun Sun, Jianxin Li, 2022, 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS).

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Qingyun Sun, Hao Peng, Jinyan Wang, 2022, 2210.00538.

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

Philip S. Yu, Qingyun Sun, Jianxin Li, 2022, CIKM.

Automating DBSCAN via Deep Reinforcement Learning

Philip S. Yu, Qingyun Sun, Yingtong Dou, 2022, CIKM.

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

P. Xie, Qingyun Sun, Jianxin Li, 2022, ACM Transactions on the Web.

PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks

Lei Zhang, Jun Xu, Haoqian Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Distributional Robust Kelly Gambling: Optimal Strategy under Uncertainty in the Long-Run

S. Boyd, Qingyun Sun, 2018, 1812.10371.

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

Yuren Zhou, Qingyun Sun, Chris Junchi Li, 2019, ICML.

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network

Senzhang Wang, Qingyun Sun, Hao Peng, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

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

Hao Peng, Qingyun Sun, Phillip S. Yu, 2021, WWW.

Graph Structure Learning with Variational Information Bottleneck pdf

Philip S. Yu, Hao Peng, Jia Wu, 2021, AAAI.

Adaptive curvature exploration geometric graph neural network

Philip S. Yu, Senzhang Wang, Qingyun Sun, 2023, Knowledge and Information Systems.

Curvature Graph Generative Adversarial Networks

Qingyun Sun, Jianxin Li, Hao Peng, 2022, WWW.

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

Philip S. Yu, Jianxin Li, Senzhang Wang, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

A Robust and Generalized Framework for Adversarial Graph Embedding pdf

Lifang He, Hao Peng, Senzhang Wang, 2021, ArXiv.

Self-organization Preserved Graph Structure Learning with Principle of Relevant Information

Philip S. Yu, Qingyun Sun, Jianxin Li, 2022, AAAI.

Convex Sparse Blind Deconvolution pdf

Qingyun Sun, David Donoho, D. Donoho, 2021, ArXiv.

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining

Qingyun Sun, Jianxin Li, Hao Peng, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification

Qingyun Sun, Jianxin Li, Hao Peng, 2023, WWW.

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning

Qingyun Sun, Jianxin Li, Hao Peng, 2023, WSDM.

A Recipe for Global Convergence Guarantee in Deep Neural Networks

Qingyun Sun, Kenji Kawaguchi, 2021, AAAI.

Degrees of Freedom Analysis of Unrolled Neural Networks pdf

Morteza Mardani, Qingyun Sun, David Donoho, 2019, ArXiv.

Heterogeneous graph neural network with semantic-aware differential privacy guarantees

Qingyun Sun, Hao Peng, Jinyan Wang, 2023, Knowledge and Information Systems.

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Qingyun Sun, Hao Peng, Jinyan Wang, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

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

Jeannette Bohg, Qingyun Sun, Lin Shao, 2020, CoRL.

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

Qingyun Sun, Jianxin Li, Xingcheng Fu, 2023, Pattern Recognition.

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

Stephen Tyree, Jan Kautz, Qingyun Sun, 2020, ArXiv.

Convolutional Imputation of Matrix Networks

Stephen P. Boyd, David L. Donoho, Qingyun Sun, 2016, ICML.

Does Graph Distillation See Like Vision Dataset Counterpart?

Qingyun Sun, Yang You, Xingcheng Fu, 2023, NeurIPS.

Curvature Graph Generative Adversarial Networks

Qingyun Sun, Jianxin Li, Hao Peng, 2022, WWW.

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

Philip S. Yu, Senzhang Wang, Qingyun Sun, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

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

Phillip S. Yu, Qingyun Sun, Jianxin Li, 2021, WWW.

Dynamic Graph Information Bottleneck

Qingyun Sun, Xingcheng Fu, Cheng Ji, 2024, WWW.

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

Qingyun Sun, Ziwei Zhang, Xingcheng Fu, 2023, NeurIPS.