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张桂衔 的个人主页
  • 张桂衔
  1. 职  务:教师
  2. 学  院:版权所有:bevictor伟德官网·(中国)唯一官方网站
  3. 学历职称:博士/副研究员
  4. 导师类型:硕士生导师
  5. 联系方式:guixian@hainanu.edu.cn
个人简介 发表论文 科研项目

[1] Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng. (2026) Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. Proceedings of the ACM on Web Conference 2026: 4093-4104.CCF A 会议)

[2] Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du, Debo Cheng. (2026) Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment. Proceedings of the 40th AAAI Conference on Artificial Intelligence, 16280-16288. (CCF A 会议)

[3] 张桂衔, 袁冠, 张艳梅, 闫秋艳, 刘上. (2026) 因果驱动的自适应去噪认知诊断框架. 计算机学报, 49(3), 557-573. (CCF-A类中文期刊)

[4] Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang. (2025) Mitigating propensity bias of large language models for recommender systems. ACM Transactions on Information Systems, 43.6: 1-26. (CCF-A类期刊ACM汇刊,Web of Science热点论文)

[5] Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang. (2025) Causality-Inspired Disentanglement for Fair Graph Neural Networks. Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025: 637--645. (CCF A 会议)

[6] Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang. (2024) Learning fair representations via rebalancing graph structure. Information Processing & Management, 61(1), 103570. (CCF B 类期刊,中科院一区)

[7] Guixian Zhang, Shichao Zhang, Guan Yuan. (2024) Bayesian graph local extrema convolution with long-tail strategy for misinformation detection. ACM Transactions on Knowledge Discovery from Data, 18(4), 1-21. (CCF B 类期刊ACM汇刊)

[8] Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang. (2026) Towards Fair Graph Representation Learning by Overcoming Social Homophily. ACM Transactions on Intelligent Systems and Technology, 1-25.CAAI-B类期刊,ACM汇刊)

[9] Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang. (2025) Disentangled contrastive learning for fair graph representations. Neural Networks, 181, 106781.CCF B 类期刊)

[10] Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang. (2025) Deconfounding representation learning for mitigating latent confounding effects in recommendation. Knowledge and Information Systems, 67(7), 5999-6020.CCF B类期刊


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