Hi, I’m Guixian Zhang, currently an Associate Professor at Hainan University. I obtained my Ph.D. from the China University of Mining and Technology, where I studied under 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 Data Science, Graph Learning, Trustworthy AI, Causality, and AI4S. I have published 30+ papers with total 500+ google scholar citations. Meanwhile, I’m extra focused on AI applications in education, 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!

👨‍🏫 每年招收硕士研究生，欢迎发送邮件到我的邮箱guixian[AT]hainanu.edu.cn。请在附件中添加简历与成绩单。同时，欢迎对科研感兴趣的本科生同学联系进行科研训练。

📝 Publications

• Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems, Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng, The Web Conf, 2026

• Towards Fair Graph Representation Learning by Overcoming Social Homophily, Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang, ACM Transactions on Intelligent Systems and Technology, 2026

• Noise-Aware Graph-based Cognitive Diagnostic Framework through Low-rank Alignment, Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du, Debo Cheng. AAAI, 2026

• 因果驱动的自适应去噪认知诊断框架(Causality-driven adaptive denoising cognitive diagnostic framework), Guixian Zhang, Guan Yuan, Yanmei Zhang, Qiuyan Yan, Shang Liu. 计算机学报(Chinese Journal of Computers), 2026

• Causality-Inspired Disentanglement for Fair Graph Neural Networks, Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang. IJCAI, 2025

• 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

• Disentangled contrastive learning for fair graph representations, Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang, Neural Networks, 2025

• 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

• Learning fair representations via rebalancing graph structure, Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang, Information Processing and Management, 2024

• 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.

• FPGNN: Fair path graph neural network for mitigating discrimination, Guixian Zhang, Debo Cheng, Shichao Zhang, World Wide Web, 2023

• 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

• Community-Centric Graph Unlearning, Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng, AAAI, 2025

• More publications at Google Scholar!

🎖 Honors and Awards

• 2025 挑战杯“揭榜挂帅”（新一代信息技术领域）擂台赛全国一等奖 (The Challenge Cup National First Prize).
• 2025 江苏大学生创新大赛二等奖(Second Prize in Jiangsu College Students’Innovation Competition).
• 2024 National Scholarship (TOP 1st in the school).
• 2024 Best Paper Award in 21th International Conference on Web Information Systems and Applications.

💬 Serives

• Serving as a PC or reviewer for conferences: ICLR2024-2026, ICML2024-2025, NeurlPS2024-2025, KDD2024-2026, WWW2024-2026, AISTATS2025-2026, IJCAI2023-2026, AAAI2023-2026, CHI2025, MM2024-2025, ICWSM2025, ECAI2026, DASFAA2025-2026, PAKDD2023-2026, ACML2025, ADMA2025.

• Serving as a reviewer for journals: TPAMI, TKDE, AIJ, TKDD, TMM, TCSS, IPM, NN, PR, KAIS, WWWJ, IJHCI, IJAR, DMKD, ESWA, Neurocomputing, KBS, EAAI, …

📖 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.”

Perhaps we have never considered that the next Einstein who could change the world might, simply because of poverty or conflict, forever lose the opportunity to step into a classroom or secure a decent job. The reality is that over 200 million school-age children and adolescents worldwide still remain outside the school gates.

Over the years, I have tried to contribute in my own small way through donations, and I once spent time as a volunteer teacher at an orphanage. It was during that experience that I truly saw the longing hidden in those children’s eyes—a simple, yet fervent, pursuit of a better life.

If you have the capacity and the willingness, you might consider looking into local charitable initiatives. A modest donation, or even just an afternoon spent keeping them company, might open a window to the future for a child, allowing their talents to flourish and empowering them to support themselves one day.

For information on how to get involved, reaching out to local volunteer organizations is a very direct way. If you’re curious about the specific needs of children in China, you can also take a look at the “Tencent Charity Foundation” (腾讯公益) platform.

May every child be gently embraced by knowledge and hope.