Hi, I’m Guixian Zhang, currently a PhD candidate in Artificial Intelligence (Computer Science and Technology) at China University of Mining and Technology, supervised by Prof. Guan Yuan. Before that, I was pursuing my master’s degree at Guangxi Normal University under the supervision of Prof. Shichao Zhang. My current research interest includes Graph Neural Network, Trustworthy AI, Causality, and AI4S. I have published 20+ papers with total 100+ google scholar citations. Meanwhile, I’m extra focused on AI applications in social networks, physics and biomedicine. I am also hobbyist in photography, cookery and football.
🤝 Looking for collaborations to work on impactful projects! Please feel free to contact me for collaborations, research discussions, or just to connect!
📝 Publications
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Causality-Inspired Disentanglement for Fair Graph Neural Networks, Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang. IJCAI, 2025
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Mitigating Propensity Bias of Large Language Models for Recommender Systems, Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang, ACM Transactions on Information Systems, 2025
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Disentangled contrastive learning for fair graph representations, Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang, Neural Networks, 2025
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Bayesian Graph Local Extrema Convolution with Long-Tail Strategy for Misinformation Detection, Guixian Zhang, Shichao Zhang, Guan Yuan, ACM Transactions on Knowledge Discovery from Data, 2024
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Learning fair representations via rebalancing graph structure, Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang, Information Processing and Management, 2024
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Deconfounding Representation Learning for Mitigating Latent Confounding Effects in Recommendation. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang. Knowledge and Information Systems, 2025.
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FPGNN: Fair path graph neural network for mitigating discrimination, Guixian Zhang, Debo Cheng, Shichao Zhang, World Wide Web, 2023
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Graph Unlearning System with Subgraph De-Isolation Measures, Yi Li, Debo Cheng, Guixian Zhang, Chengyu Li, Shichao Zhang, ACM Transactions on Autonomous and Adaptive Systems, 2025
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Community-Centric Graph Unlearning, Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng, AAAI, 2025
🎖 Honors and Awards
- 2024 National Scholarship (TOP 1st in the college).
- 2024 Excellent Student in CUMT.
- 2024 Best Paper Award in 21th International Conference on Web Information Systems and Applications.
- 2023 Honor Graduate in GXNU.
- 2022 Postgraduate Excellence Award (Presidential Scholarship) in GXNU.
- 2021 Third Prize of the 18th National Post-Graduate Mathematical Contest in Modeling (Huawei Cup).
- 2021 Merit Student of GXNU.
💬 Serives
- Serving as a PC or reviewer for conferences: ICLR, ICML, NeurlPS, KDD, WWW, AISTATS, IJCAI, AAAI, CHI, MM, ICWSM, ECAI, DASFAA, PAKDD, ACML, ADMA.
- Serving as a reviewer for journals: AIJ, TKDD, IPM, NN, KAIS, WWWJ, Neurocomputing, KBS, TJSC, IJMLC, IVC, MS, and others.
- Hosting the Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (2025-2026): Research on debiased graph machine learning algorithms towards social scenarios.
- Hosting the Postgraduate Research & Practice Innovation Program of Jiangsu Province (2024-2026): Research on causal debiasing algorithm for recommender system based on graph learning.
- Hosting the Innovation Project of Guangxi Graduate Education (2022-2023): Rumour detection based on knowledge graph and contrastive learning.
📖 History
In 1905, there were hundreds of professors renowned for their study of the universe, but it was a 26 year old Swiss patent clerk, doing physics in his spare time, who changed the world.
“The important thing is not to stop questioning. Curiosity has its own reason for existence. One cannot help but be in awe when he contemplates the mysteries of eternity, of life, of the marvelous structure of reality. It is enough if one tries merely to comprehend only a little of this mystery every day. Never lose a holy curiosity.”