Curriculum Vitaeedit

This page records CV-derived facts in wiki form. The PDF version is available at XinbaoQiao_CV.pdf.

Educationedit

• Zhejiang University, M.Sc. in Artificial Intelligence, 2022-09 to 2025-12. Major GPA: 90/100; rank 3/25. Relevant courses include AI Algorithms and Systems and Secure Artificial Intelligence.
• Shandong University, B.Eng. in Communication Engineering, 2018-09 to 2022-07. Major GPA: 82.47/100. Awarded a third-class academic award in 2018-2019.

Research interestsedit

• AI and networks: distributed computation, communication-aware learning, and collaborative evaluation.
• Trustworthy machine learning: interpretability, privacy, security, robustness, and synthetic-data reliability.

Publicationsedit

See Publications. The CV lists accepted, published, and under-review work in machine unlearning, decentralized learning, and synthetic-data model collapse.

Research experienceedit

• Doctoral research in AI and networks, 2026-present, advised by Angela Yingjun Zhang at The Chinese University of Hong Kong. Topics include networked AI systems, distributed Wasserstein barycenter computation, decentralized learning, and communication-aware model reliability.
• Research on data-centric ML systems, 2023-03 to 2025-12, advised by Meng Zhang at Zhejiang University. Topics include data influence attribution, machine unlearning, and trade-offs among fairness, robustness, privacy, and utility.
• Research on trustworthy model systems, 2025-06 to 2025-12, full-time research intern advised by Yan Pang at NUSRI CQ. Topics include model reliability and distributed Wasserstein methods for synthetic-data evaluation.

Skillsedit

See Skills. The CV lists Python, MATLAB, LaTeX, Markdown, C/C++, Linux, Java, TensorFlow, PyTorch, SQL, Git, Docker, and Linux-based research workflows.