Qingyun Sun
Qingyun Sun
Assistant Professor, Beihang University
Verified email at - Homepage
Cited by
Cited by
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Q Sun, J Li, H Peng, J Wu, Y Ning, PS Yu, L He
The Web Conference, WWW 2021, 2021
Graph Structure Learning with Variational Information Bottleneck
Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, PS Yu
36th AAAI Conference on Artificial Intelligence, AAAI 2022, 2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
X Fu, J Li, J Wu, Q Sun, C Ji, S Wang, J Tan, H Peng, PS Yu
21st IEEE International Conference on Data Mining, ICDM 2021, 2021
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Q Sun, J Li, H Yuan, X Fu, H Peng, C Ji, Q Li, PS Yu
31st ACM International Conference on Information and Knowledge Management …, 2022
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Q Sun, H Peng, J Li, S Wang, X Dong, L Zhao, PS Yu, L He
20th IEEE International Conference on Data Mining, ICDM 2020, 511-520, 2020
Curvature Graph Generative Adversarial Networks
J Li, X Fu, Q Sun, C Ji, J Tan, J Wu, H Peng
The Web Conference, WWW 2022, 2022
Automating DBSCAN via Deep Reinforcement Learning
R Zhang, H Peng, Y Dou, J Wu, Q Sun, Y Li, J Zhang, PS Yu
31st ACM International Conference on Information and Knowledge Management …, 2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Y Wei, X Fu, Q Sun, H Peng, J Wu, J Wang, X Li
22nd IEEE International Conference on Data Mining, ICDM 2022, 2022
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
X Fu, Y Wei, Q Sun, H Yuan, J Wu, H Peng, J Li
The Web Conference, WWW 2023, 2023
Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
J Li, Q Sun, H Peng, B Yang, J Wu, SY Phillp
IEEE Transactions on Pattern Analysis & Machine Intelligence (IEEE TPAMI), 1-18, 2023
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Q Li, J Li, L Wang, C Ji, Y Hei, J Sheng, Q Sun, S Xue, P Xie
ACM Transactions on Web (ACM TWEB), 2022
A Robust and Generalized Framework for Adversarial Graph Embedding
J Li, X Fu, H Peng, S Wang, S Zhu, Q Sun, PS Yu, L He
IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021
Aiqoser: building the efficient inference-qos for ai services
J Li, T Zhu, H Zhou, Q Sun, C Jiang, S Zhang, C Hu
2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), 1-10, 2022
Higher-Order Memory Guided Temporal Random Walk for Dynamic Heterogeneous Network Embedding
C Ji, T Zhao, Q Sun, X Fu, J Li
Pattern Recognition, 109766, 2023
Does Graph Distillation See Like Vision Dataset Counterpart?
B Yang, K Wang, Q Sun, C Ji, X Fu, H Tang, Y You, J Li
37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
C Ji, J Li, H Peng, J Wu, X Fu, Q Sun, PS Yu
ACM International Conference on Web Search and Data Mining, WSDM 2023, 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Q Sun, J Li, B Yang, X Fu, H Peng, PS Yu
AAAI 2023, 2022
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
H Yuan, Q Sun, X Fu, Z Zhang, C Ji, H Peng, J Li
arXiv preprint arXiv:2311.11114, 2023
Adaptive curvature exploration geometric graph neural network
X Fu, J Li, J Wu, J Qin, Q Sun, C Ji, S Wang, H Peng, PS Yu
Knowledge and Information Systems (KAIS), 1-24, 2023
Heterogeneous Graph Neural Network with Semantic-aware Differential Privacy Guarantees
Y Wei, X Fu, D Yan, Q Sun, H Peng, J Wu, J Wang, X Li
Knowledge and Information Systems (KAIS), 2023
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