Ken Li (李垦)

Junior Year Undergraduate Student @ XJTU

Generative AI Student Researcher 🦾

           


Biography

Hi! I am Ken Li (李垦), currently a 3rd-year undergraduate student majoring in Computer Science at Xi'an Jiaotong University (expected graduation in July 2026) and doing research at BKDE@XJTU, supervised by Prof. Bin Shi.

I have published two top conference papers in WWW2025 and ECML-PKDD2025.

My research interests mainly focus on Data-centric learningGenerative AIMulti-modal modelGraph machine learning、AI security.

Feel free to contact me by email if you are interested in discussing or collaborating with me.

Education

Xi'an Jiaotong University (XJTU), China

B.Eng. (currently studying) in Computer Science and Technology (Qian Xuesen Honor Class), CS
GPA 92.68 / 100, rank 1/44
Sep. 2022 - Jun. 2026 (expected)

Publications | [Google Scholar]

Full List
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning
Ken Li, Bin Shi, Jiazhe Wei, Bo Dong
Accepted at the proceedings of WWW2025 Research Track as oral presentation.
We propose a non-intrusive graph distributed backdoor attack(NI-GDBA) that does not require backdoor triggers to be injected in the training data.
ALM-PU: Positive and Unlabeled learning with constrained optimization
Jiazhe Wei*, Yuefei Wu*, Bin Shi, Ken Li, Bo Dong
Under revision at the proceedings of ECML-PKDD2025 Journal Track(Machine Learning)
We propose a novel constraint optimization-based PU-learning framework, which overcomes classifiers' negative classification bias and enhances sample discrimination capability by imposing distinct mathematical constraints on labeled and unlabeled sample sets and resolving the problem through systematic optimization.
* Equal contribution. Corresponding author.

Research & Visiting Experience

BDKElab, Xi'an Jiaotong University

Sep. 2023 - Present, Member

Supervised by Prof. Bin Shi

人工智能研究与创新实验室, Westlake University & Zhejiang University

Nov. 2024 - Present, Intern Researcher, Hangzhou, China

Working with Prof. Stan Z.Li and Postdoctoral. Chang Yu

AMS experiement, CERN & MIT

Jan. 2025 - Feb.2025, Intern Researcher, Geneva, Switzerland

Working with Research Scientist. Dr. Dimitrii Krasnopevtsev

Engineering Experience

Paranormal-XJTU:
A 2D game developed by Unity

May, 2024, Project Leader & 6-people Team

As an ordinary college student, one day you suddenly found that your school began to circulate a variety of ghosts and monsters. At the same time, your classmates also behaved abnormally one after another, and you, how will you solve the mystery?[]

Leadership Experience

  • 2023.4 - 2023.9, XJTU deep learning seminar, Captain
  • Academic Services

    Reviewer: AAAI 2025, WWW2025

    Latest updated in Jan. 2025

    © Ken Li