Xiao Shen

According to our database, Xiao Shen authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

2023

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

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

Neural Networks, November, 2023

Domain-adaptive message passing graph neural network.

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

Neural Networks, July, 2023

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.

Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang

IEEE Trans. Knowl. Data Eng., May, 2023

Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization.

Nan Zhou, Yuanhua Du, Jun Liu, Xiuyu Huang, Xiao Shen, Kup-Sze Choi

Appl. Intell., May, 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

CoRR, 2023

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

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

CoRR, 2023

Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification.

Peng Xue, Mengqiu Shao, Xi Zhou, Xiao Shen

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Neighbor Contrastive Learning on Learnable Graph Augmentation.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Network Together: Node Classification via Cross-Network Deep Network Embedding.

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

IEEE Trans. Neural Networks Learn. Syst., 2021

Adversarial training regularization for negative sampling based network embedding.

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

Inf. Sci., 2021

2020

Cross-Network Learning With Fuzzy Labels for Seed Selection and Graph Sparsification in Influence Maximization.

Xiao Shen, Sitong Mao, Korris Fu-Lai Chung

IEEE Trans. Fuzzy Syst., 2020

Deep Network Embedding for Graph Representation Learning in Signed Networks.

Xiao Shen, Fu-Lai Chung

IEEE Trans. Cybern., 2020

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

Sitong Mao, Xiao Shen, Fu-Lai Chung

CoRR, 2020

Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance.

Sitong Mao, Jiaxin Chen, Xiao Shen, Fu-Lai Chung

CoRR, 2020

Adversarial Deep Network Embedding for Cross-Network Node Classification.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution.

Quanyu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang

CoRR, 2019

Network Embedding for Cross-network Node Classification.

Xiao Shen, Fu-Lai Chung

CoRR, 2019

Adversarial Training Methods for Network Embedding.

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

Proceedings of the World Wide Web Conference, 2019

2018

Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance.

Sitong Mao, Xiao Shen, Fu-Lai Chung

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization.

Xiao Shen, Fu-Lai Chung, Sitong Mao

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Deep Network Embedding with Aggregated Proximity Preserving.

Xiao Shen, Fu-Lai Chung

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Persuasion driven influence analysis in online social networks.

Xiaoqian Yi, Xiao Shen, Wei Lu, Tung Shan Chan, Korris Fu-Lai Chung

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Incorporating trust relationships in collaborative filtering recommender system.

Xiao Shen, Haixia Long, Cuihua Ma

Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015