Incorporating trust relationships in collaborative filtering recommender system. - Xiao Shen 001; Haixia Long; Cuihua Ma (SNPD, 2015)

Persuasion driven influence analysis in online social networks. - Xiaoqian Yi; Xiao Shen 001; Wei Lu 006; Tung Shan Chan; Korris Fu-Lai Chung (IJCNN, 2016)

Deep Network Embedding with Aggregated Proximity Preserving. - Xiao Shen 001; Fu-Lai Chung (ASONAM, 2017)

Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization. - Xiao Shen 001; Fu-Lai Chung; Sitong Mao (SIGIR, 2017)

Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance. - Sitong Mao; Xiao Shen 001; Fu-Lai Chung (SIGIR, 2018)

Adversarial Training Methods for Network Embedding. - Quanyu Dai; Xiao Shen 001; Liang Zhang; Qiang Li 024; Dan Wang 002 (WWW, 2019)

Network Embedding for Cross-network Node Classification. - Xiao Shen 001; Fu-Lai Chung (CoRR, 2019)

Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution. - Quanyu Dai; Xiao Shen 001; Xiao-Ming Wu 003; Dan Wang 002 (CoRR, 2019)

Adversarial Deep Network Embedding for Cross-Network Node Classification. - Xiao Shen 001; Quanyu Dai; Fu-Lai Chung; Wei Lu 006; Kup-Sze Choi (AAAI, 2020)

Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance. - Sitong Mao; Jiaxin Chen; Xiao Shen 001; Fu-Lai Chung (CoRR, 2020)

Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation. - Sitong Mao; Xiao Shen 001; Fu-Lai Chung (CoRR, 2020)

Deep Network Embedding for Graph Representation Learning in Signed Networks. - Xiao Shen 001; Fu-Lai Chung (IEEE Trans. Cybern., 2020)

Cross-Network Learning With Fuzzy Labels for Seed Selection and Graph Sparsification in Influence Maximization. - Xiao Shen 001; Sitong Mao; Korris Fu-Lai Chung (IEEE Trans. Fuzzy Syst., 2020)

Adversarial training regularization for negative sampling based network embedding. - Quanyu Dai; Xiao Shen 001; Zimu Zheng; Liang Zhang; Qiang Li 024; Dan Wang 002 (Inf. Sci., 2021)

Network Together: Node Classification via Cross-Network Deep Network Embedding. - Xiao Shen 001; Quanyu Dai; Sitong Mao; Fu-Lai Chung; Kup-Sze Choi (IEEE Trans. Neural Networks Learn. Syst., 2021)

Neighbor Contrastive Learning on Learnable Graph Augmentation. - Xiao Shen 001; Dewang Sun; Shirui Pan; Xi Zhou; Laurence T. Yang (AAAI, 2023)

Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification. - Peng Xue; Mengqiu Shao; Xi Zhou; Xiao Shen 001 (ADMA (3), 2023)

Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization. - Nan Zhou 010; Yuanhua Du; Jun Liu 046; Xiuyu Huang; Xiao Shen 001; Kup-Sze Choi (Appl. Intell., 2023)

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution. - Quanyu Dai; Xiao-Ming Wu 003; Jiaren Xiao; Xiao Shen 001; Dan Wang 002 (IEEE Trans. Knowl. Data Eng., 2023)

Domain-adaptive message passing graph neural network. - Xiao Shen 001; Shirui Pan; Kup-Sze Choi; Xi Zhou (Neural Networks, 2023)

Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454]. - Xiao Shen 001; Shirui Pan; Kup-Sze Choi; Xi Zhou (Neural Networks, 2023)

Denoising-Aware Contrastive Learning for Noisy Time Series. - Shuang Zhou 012; Daochen Zha; Xiao Shen 001; Xiao Huang 001; Rui Zhang 028; Korris Fu-Lai Chung (IJCAI, 2024)

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning. - Man Wu; Xin Zheng 008; Qin Zhang 011; Xiao Shen 001; Xiong Luo; Xingquan Zhu 001; Shirui Pan (CoRR, 2024)

Dual separated attention-based graph neural network. - Xiao Shen 001; Kup-Sze Choi; Xi Zhou (Neurocomputing, 2024)

Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy. - Jiaren Xiao; Quanyu Dai; Xiao Shen 001; Xiaochen Xie; Jing Dai; James Lam; Ka-Wai Kwok (Neurocomputing, 2024)

Contrastive domain-adaptive graph selective self-training network for cross-network edge classification. - Mengqiu Shao; Peng Xue; Xi Zhou; Xiao Shen 001 (Pattern Recognit., 2024)

Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification. - Xiao Shen 001; Mengqiu Shao; Shirui Pan; Laurence T. Yang; Xi Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment. - Xiao Shen 001; Zhihao Chen; Shirui Pan; Shuang Zhou 012; Laurence T. Yang; Xi Zhou (AAAI, 2025)

Hierarchical graph contrastive domain adaptation for multi-source cross-network node classification. - Chuanyun Lin; Xi Zhou; Xiao Shen 001 (Expert Syst. Appl., 2025)