Junyuan Xie

Nanjing Tech University — China

Physics and Astronomy · Physical Sciences

21h-index5.6kcitations147works1.72yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Complex Network Analysis Techniques(18), Text and Document Classification Technologies(16), Network Security and Intrusion Detection(13), Advanced Graph Neural Networks(11), Opinion Dynamics and Social Influence(11)

Publications147 total

TGSL: Trade-off graph structure learning via multifaceted graph information bottleneck
Neural Networks·2025Open Access
EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features
2025
SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction
2025· 1 cited
Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity
Neural Networks·2025
Tgsl: Trade-Off Graph Structure Learning Via Multifaceted Graph Information Bottleneck
SSRN Electronic Journal·2025Open Access
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
arXiv (Cornell University)·2024Open Access
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise
arXiv (Cornell University)·2024Open Access
Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation
2024
Triple-Negative or Close-to-Triple-Negative Breast Cancer Presenting as a Thick-Walled Cystic Lesion
The American Surgeon·2024
RETRACTED: The biological functions and related signaling pathways of SPON2
Frontiers in Oncology·2024· 18 citedOpen Access
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise
SSRN Electronic Journal·2024Open Access
Emerging roles of interactions between ncRNAs and other epigenetic modifications in breast cancer
Frontiers in Oncology·2023· 13 citedOpen Access
Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels
Applied Intelligence·2023· 8 cited
DPAUC: Differentially Private AUC Computation in Federated Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 4 citedOpen Access
Graph structure learning based on feature and label consistency
Intelligent Data Analysis·2022· 2 cited
DPAUC: Differentially Private AUC Computation in Federated Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
Differentially Private AUC Computation in Vertical Federated Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
Differentially Private Label Protection in Split Learning
arXiv (Cornell University)·2022· 17 citedOpen Access
A unified structure learning framework for graph attention networks
Neurocomputing·2022· 29 cited
Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks
2021· 17 cited
page 1 of 8Next →

Frequent Co-authors

Chongjun Wang(23), Hang Zhang(6), Tong He(5), Zhongyue Zhang(5), Mu Li(5), Xingjian Shi(4), Qianyi Zhan(4), Philip S. Yu(4), Yue Peng(4), Zhi Zhang(3), Ross Girshick(3), Ali Farhadi(3), Hengyang Lu(3), Meng Cao(3), Hualei Yu(3), Lei Pan(3), Shifu Chen(3), Gang Chen(3), Chenguang Wang(2), Jiani Zhang(2)