发表论文

[1] 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, 2023. (IF= 11.683, 中科院SCI大类一区, 第一作者)

[2] 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, 第一作者)

[3] 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, vol. 35, no. 5, pp. 4908-4922, 2023. (CCF A类期刊, 通讯作者)

[4] 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, vol. 32, no. 5, pp. 1935-1948, 2021. (IF= 11.683, 中科院SCI大类一区, 第一作者)

[5] 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)

[6] Quanyu Dai, Xiao Shen, Zimu Zheng, Liang Zhang, Qiang Li, and Dan Wang, Adversarial Training Regularization for Negative Sampling Based Network Embedding, Information Sciences, vol. 579, pp. 199-217, 2021. (IF= 6.795, 中科院SCI大类一区)

[7] Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, and Kup-Sze Choi, Adversarial deep network embedding for cross-network node classification, Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2020.04. (CCF A类顶会, 第一作者)

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

[9] 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, vol. 28, no. 9, pp. 2195-2208, 2020. (IF= 8.759, 中科院SCI大类一区, 第一作者)

[10] 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.

[11] 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)

[12] Sitong Mao, Xiao Shen, Fu-lai Chung, Deep domain adaptation based on multi-layer joint kernelized distance, Proceedings of International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR), 2018.06. (CCF A类顶会)

[13] 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)

[14] Xiao Shen, and Fu-lai Chung, Deep network embedding with aggregated proximity preserving, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2017.08.