Hi, I’m Guixian Zhang, currently a second year 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 10+ 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, 2024
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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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Nonlocal Hybrid Network for Long-tailed Image Classification, Rongjiao Liang, Shichao Zhang, Wenzhen Zhang, Guixian Zhang, Jinyun Tang, ACM Transactions on Multimedia Computing, Communications and Applications, 2024
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FPGNN: Fair path graph neural network for mitigating discrimination, Guixian Zhang, Debo Cheng, Shichao Zhang, World Wide Web, 2023
🎖 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.
- Serving as a reviewer for journals: AIJ, TKDD, KAIS, WWWJ, Neurocomputing, KBS, TJSC, IJMLC, 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.
📖 Educations
- 2023.09 - 2027.06 (now), China University of Mining and Technology, Ph.D.
- 2020.09 - 2023.06, Guangxi Normal University, M.S.
- 2015.09 - 2019.06, North China Institute of Aerospace Engineering, B.S.
💻 Internships
- I’m looking for a research internship.