发表论文

[1] Xiao Shen, Zhihao Chen, Shirui Pan, Shuang Zhou, Laurence T. Yang, and Xi Zhou. Open-set Cross-network Node Classification via Unknown-excluded Adversarial Graph Domain Alignment. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), pp. 20398-20408, 2025. (CCF A类顶会, 唯一第一作者)

[2] Xi Zhou, Jing Yang, Yin Luo, Xiao Shen*, HNCGAT: A Method for Predicting Plant Metabolite–protein Interaction using Heterogeneous Neighbor Contrastive Graph Attention Network, Briefings in Bioinformatics, Volume 25, Issue 5, 2024. (IF= 7.9, 中科院SCI一区, 唯一通讯作者)

[3] Mengqiu Shao, Peng Xue, Xi Zhou, and Xiao Shen*. Contrastive Domain-adaptive Graph Selective Self-training Network for Cross-network Edge Classification. Pattern Recognition, vol. 152, 110448, 2024. (IF= 8.1, 中科院SCI大类一区, 唯一通讯作者)

[4] Xiao Shen*, Mengqiu Shao, Shirui Pan, Laurence T. Yang, and Xi Zhou. Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 35, no. 12, pp. 17842-17855, 2024. (IF= 11.683, 中科院SCI大类一区, 唯一第一作者)

[5] Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou*. Domain-adaptive Message Passing Graph Neural Network. Neural Networks, vol. 164, pp. 439-454, 2023. (IF= 7.9, 中科院SCI大类一区, 唯一第一作者)

[6] Xiao Shen, Dewang Sun, Shirui Pan, Xi Zhou, and Laurence T. Yang. Neighbor Contrastive Learning on Learnable Graph Augmentation. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), pp. 9782-9791, 2023. (CCF A类顶会, 唯一第一作者)

[7] Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen*, Dan Wang. Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol. 35, no. 5, pp. 4908-4922, 2023. (CCF A类顶刊, ESI高被引, 唯一通讯作者)

[8] Xiao Shen, Quanyu Dai*, Sitong Mao, Fu-lai Chung, and Kup-Sze Choi, Network together: Node classification via cross-network deep network embedding, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 32, no. 5, pp. 1935-1948, 2021. (IF= 11.683, 中科院SCI大类一区, 唯一第一作者)

[9] Peter Ka-Fung Chiu, Xiao Shen, Guanjin Wang, Cho-Lik Ho, Chi-Ho Leung, Chi-Fai Ng, Kup-Sze Choi*, and Jeremy Yuen-Chun Teoh, Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study, Prostate Cancer and Prostatic Diseases, 2021. (IF= 5.550, 中科院SCI大类二区, 共同第一作者)

[10] Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, and Kup-Sze Choi, Adversarial Deep Network Embedding for Cross-network Node Classification, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), pp. 2991-2999, 2020. (CCF A类顶会, 唯一第一作者)

[11] Xiao Shen, and Fu-Lai Chung*, Deep network embedding for graph representation learning in signed networks, IEEE Transactions on Cybernetics (IEEE TCyb), vol. 50, no. 4, pp. 1556-1568, 2020. (IF= 10.387, 中科院SCI大类一区, 唯一第一作者)

[12] Xiao Shen, Sitong Mao, and Fu-lai Chung*, Cross-network learning with fuzzy labels for seed selection and graph sparsification in influence maximization, IEEE Transactions on Fuzzy Systems (IEEE TFS), vol. 28, no. 9, pp. 2195-2208, 2020. (IF= 8.759, 中科院SCI大类一区, 唯一第一作者)

[13] Xiao Shen, Guanjin Wang, Rick Yiu-Cho Kwan, Kup-Sze Choi*, Using dual neural network architecture to detect the risk of dementia with community health data: Algorithm development and validation study, JMIR Medical Informatics, 2020.09.

[14] Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang, Adversarial training methods for network embedding, Proceedings of the International Conference on World Wide Web (WWW), 2019.05. (CCF A类顶会)

[15] Xiao Shen, Fu-lai Chung, and Sitong Mao, Leveraging cross-network information for graph sparsification in influence maximization, Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017.07. (CCF A类顶会, 唯一第一作者