CV

Jun Yan

yanjun@ieee.org
Shanghai, , China

Summary

Currently employed at Shanghai Ocean University and graduate from Tongji University. Short biography for the left-hand sidebar

Education

  • Scholar in Trustworthy AI
    Until now
    Shanghai Ocean University
  • PhD in AI
    2025.4
    Tongji University
  • M.S. in EE
    2012.6
    CDHK at Tongji University
  • B.S. in EE
    2009.6
    GitHub University

Publications

  • Certified Robustness in Automated Driving Perception: A Review
    2025
    Automotive Innovation
    This paper is a systematic review on certified robustness.
  • Exploring Causal Information Bottleneck for Adversarial Defense
    2025
    IEEE Transactions on Information Forensics and Security
    This paper addresses the significant problem in IB by incorporating causal inference into the IB-based defense framework.
  • MV-BMR: A Real-time Motion and Vision Sensing Integration based Agile Badminton Robot
    2025
    Information Fusion
    An agaile badminton robot. A very interesting work.
  • Adversarial Examples in Environment Perception for Automated Driving
    2025
    Springer Book Review
    My personal summary on my doctoral work.

Presentations

  • Talk on secure and safe embodied AI systems
    2025
    GDPS-2025
    Zhangjiang, Shangha, China
  • Adversarial examples: theory, methods, and benchmarks
    2025
    Seminars of Cybersecurity, Jinan University, Guangzhou
    Online
  • Tutorials of optimization on deep learning
    2025
    Seminars of Math for AI and AI for Math (Hosted by Prof. Xiaoyang Chen)
    London, UK

Teaching

  • Introduction to AI
    2026
    Information College, Shanghai Ocean University
    Role: Undergraduate course
  • Computer Architectures
    2026
    Information College, Shanghai Ocean University
    Role: Undergraduate course

Portfolio