中文

Curriculum Vitaeedit

Structured CV summary for Qiao Xinbao.

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

  • Lifecycle management of data in AI models, focusing on theoretical methods and practical problems that arise as data are generated, used, and deleted.
  • The intersection of AI with network, including AI for communication and communication for AI.

Research experienceedit

  • Research on Data-Centric ML Systems, 03/2023 to 12/2025, advised by Prof. Meng Zhang at Zhejiang University. Topics include data influence attribution, trade-offs in trustworthy artificial intelligence, and cloud-edge collaborative human-space healthcare.
  • Research on Trustworthy LLM systems, 06/2025 to 12/2025, full-time research intern advised by PANG Yan, James at the National University of Singapore. Topics include illusory pattern perception in LLMs and synthetic data evaluation.

Skillsedit

See Skills. The CV lists Python, MATLAB, LaTeX, and Markdown as advanced skills; C/C++, Linux, and Java; and frameworks and tools including TensorFlow, PyTorch, SQL, Git, Linux, and Docker.

Publicationsedit

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

  • When Sample Selection Bias Precipitates Model Collapse.
    Xinbao Qiao, Xianglong Du, Wei Liu, Jingqi Zhang, Peihua Mai, Meng Zhang, Yan Pang.
    Forty-Third International Conference on Machine Learning, ICML, 2026.
  • Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness.
    Xinbao Qiao, Ningning Ding, Yushi Cheng, Meng Zhang.
    Fortieth AAAI Conference on Artificial Intelligence, AAAI, 2026.
  • Hessian-Free Online Certified Unlearning.
    Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei.
    Thirteenth International Conference on Learning Representations, ICLR, 2025.
  • DynFrs: An Efficient Framework for Machine Unlearning in Random Forest.
    Shurong Wang, Zhuoyang Shen, Xinbao Qiao, Tongning Zhang, Meng Zhang.
    Thirteenth International Conference on Learning Representations, ICLR, 2025.
  • Federated Learning as Optimal Transport: Barycentric Multi-Prototype Classification.
    Xinbao Qiao, Wenjing Yan, Ying-Jun Angela Zhang.
    Under review.
  • Illusory Pattern Perception Drives Spurious Inference in Large Language Models.
    Peihua Mai, Zhuoyan Shao, Xinbao Qiao, Meng Zhang, Xinyue Zhou, Yan Pang.
    Under review.