讲师

姓名:周慧 性别:女 学历:博士研究生

职称:讲师 办公室:J13-108 隶属部门:人工智能系

联系方式:528882190@qq.com

个人简介:

周慧,女,bw必威西汉姆联官网首页,讲师/学术副教授。2023年6月,毕业于西安电子科技大学,获工学博士学位。2023年7月,入职必威betway西汉姆联网站bw必威西汉姆联官网首页人工智能系。主要研究方向为:图神经网络、网络表示学习、人工智能等。在IEEE TNNLS、IEEE TNSE、Information Sciences、Knowledge-Based Systems 等国际期刊上发表论文10余篇。

详细信息:

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教育经历:

[1] 2020.092023.06西安电子科技大学,博士

[2] 2017.092020.06,必威betway西汉姆联网站,硕士

[3] 2013.092017.06,必威betway西汉姆联网站,学士

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发表论文:

[1] Maoguo Gong*, Hui Zhou, A. K. Qin, Wenfeng Liu, Zhongying Zhao, Self-paced co-training of graph neural networks for semi-supervised node classification, IEEE Transactions on Neural Networks and Learning Systems, 2022, Early Access, 1-14, doi:10.1109/TNNLS.2022.3157688. (中科院一区, IF: 10.4)

[2] Hui Zhou, Maoguo Gong*, Shanfeng Wang, Yuan Gao, Zhongying Zhao, SMGCL: Semi-supervised Multi-view Graph Contrastive Learning, Knowledge-Based Systems, 2023, 260: 110120. (中科院一区, IF: 8.8)

[3] Hui Zhou, Zhongying Zhao*, Chao Li, Yongquan Liang, Qingtian Zeng, Rank2vec: Learning node embeddings with local structure and global ranking, Expert Systems with Applications, 2019, 136: 276-287. (中科院二区, IF5.452)

[4] Hui Zhou, Xin Liu, Xiangju Li, Zhongying Zhao, Chao Li. Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering, Applied Intelligence, 2023: 1-13. (中科院二区, IF5.3)

[5] Zhongying Zhao*, Hui Zhou, Chao Li, Jie Tang, Qingtian Zeng, DeepEmLAN: Deep embedding learning for attributed networks, Information Sciences, 2021, 543: 382-397. (中科院一区, IF: 8.233)

[6] Zhongying Zhao*, Hui Zhou, Liang Qi, Liang Chang, Mengchu Zhou. Inductive representation learning via cnn for partially-unseen attributed networks. IEEE Transactions on Network Science and Engineering, 2021, 8(1): 695-706. (中科院二区, IF: 5.033)

[7] 周慧, 赵中英*, 李超, 面向异质信息网络的表示学习方法研究综述, 计算机科学与探索, 2019, 13(7): 1081-1093.(CCF-B类中文期刊)

[8] Zhongying Zhao*, Xuejian Zhang, Hui Zhou, Chao Li, Maoguo Gong*, HetNERec: heterogeneous network embedding based recommendation, Knowledge-Based Systems, 2020, 204: 106218. (中科院一区, IF: 8.038)