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期刊论文

2026

LTG-GraspNet: 基于局部窗口式 Transformer 与对比鲁棒性增强的抓取检测网络

沈笑，吕亚楠，朱建军

《智能计算机与应用》

DOI

2026

基于异构图注意力网络的水稻代谢物和蛋白质关联预测

杨静，罗音，沈笑，周犀

《生物信息学》

2026

negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification

Jun Gong, Xiao Shen, Zhi-Hao Chen, Shi-Rui Pan, Xiao Wang, Xi Zhou

The Web Conference

DOI

2025

Hierarchical graph contrastive domain adaptation for multi-source cross-network node classification

Chuanyun Lin, Xi Zhou, Xiao Shen

Expert Systems With Applications，Vol. 284

DOI

2025

Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks

Weixuan Shen, Xiao Shen, Shirui Pan

AAAI Conference on Artificial Intelligence

DOI

2025

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment

Xiao Shen, Zhi-Hao Chen, Shirui Pan, Shuang Zhou, L. T. Yang, Xi Zhou

AAAI Conference on Artificial Intelligence

DOI

2024

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning

Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan

arXiv.org

DOI

2023

Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454]

Xiao Shen, Shirui Pan, K. Choi, Xi Zhou

Neural Networks

DOI

2021

Adversarial training regularization for negative sampling based network embedding

Quan-Yu Dai, Xiao Shen, Zimu Zheng, Liang Zhang, Qiang Li, Dan Wang

Information Sciences

DOI

2020

Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation

Sitong Mao, Xiao Shen, K. F. Chung

arXiv.org

2019

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution

Quan-Yu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2019

Transfer Learning Source Network ? ? ? ? ? ? Target Network Class 1 Class 2 Labeled Unlabeled Attributes

Quan-Yu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang

预印本

2023

Neighbor Contrastive Learning on Learnable Graph Augmentation

Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, Laurence T. Yang

arXiv preprint

2023

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy

Jiaren Xiao, Quanyu Dai, Xiao Shen, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok

arXiv preprint

DOI

2023

Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification

Xiao Shen, Mengqiu Shao, Shirui Pan, Laurence T. Yang, Xi Zhou

arXiv preprint

2023

Domain-adaptive Message Passing Graph Neural Network

Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou

arXiv preprint

DOI

2020

Adversarial Deep Network Embedding for Cross-network Node Classification

Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, Kup-Sze Choi

arXiv preprint

2019

Network Together: Node Classification via Cross network Deep Network Embedding

Xiao Shen, Quanyu Dai, Sitong Mao, Fu-lai Chung, Kup-Sze Choi

arXiv preprint

DOI

2019

Deep Network Embedding for Graph Representation Learning in Signed Networks

Xiao Shen, Fu-Lai Chung

arXiv preprint

DOI

2019

Adversarial Training Methods for Network Embedding

Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang

arXiv preprint

沈笑

精选作品

期刊论文

LTG-GraspNet: 基于局部窗口式 Transformer 与对比鲁棒性增强的抓取检测网络

基于异构图注意力网络的水稻代谢物和蛋白质关联预测

negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification

Hierarchical graph contrastive domain adaptation for multi-source cross-network node classification

Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning

Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454]

Adversarial training regularization for negative sampling based network embedding

Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution

Transfer Learning Source Network ? ? ? ? ? ? Target Network Class 1 Class 2 Labeled Unlabeled Attributes

预印本

Neighbor Contrastive Learning on Learnable Graph Augmentation

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy

Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification

Domain-adaptive Message Passing Graph Neural Network

Adversarial Deep Network Embedding for Cross-network Node Classification

Network Together: Node Classification via Cross network Deep Network Embedding

Deep Network Embedding for Graph Representation Learning in Signed Networks

Adversarial Training Methods for Network Embedding

研究方向