Le Yang (杨乐)
Scholar

Le Yang (杨乐)

Google Scholar ID: ju6v2acAAAAJ
Research Fellow, Xi'an Jiaotong University
MLCVAI security
Citations & Impact
All-time
Citations
2,367
 
H-index
18
 
i10-index
22
 
Publications
20
 
Co-authors
9
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • August 2025, The paper 'LVLM-FDA' was awarded for being the Best Student Paper by KSEM 2025; May 2025, Released the code of our recent work, DeepEyes; March 2025, Our work, Nullu, is accepted by CVPR 2025; November 2024, We proposed a new efficient alignment method, Nullu, to mitigate Object Hallucination issues in LVLMs; August 2024, Our work, OstrDARTS, is accepted by T-CYB; July 2024, Our work, EfficientGEBD, is accepted by ACM MM 2024; July 2024, Three of our works (DyFADet, DyBDet, and Typographic-attack-for-LVLM) are accepted by ECCV 2024; June 2023, Our work, CoViFocus, is accepted by T-CSVT.
Research Experience
  • Special Research Fellow, Xi'an Jiaotong University, May 2025 - present; Assistant Professor, Xi'an Jiaotong University, June 2021 - May 2025; Postdoctoral researcher, Xi'an Jiaotong University, June 2021 - May 2025, Advised by CAS Fellow, Prof. Xiaohong Guan; Visiting Scholar, ML Group, Aalto University, December 2021 - July 2022, Cooperating with Academy of Finland Research Fellow, Dr. Arno Solin.
Education
  • Ph.D., Department of Automation, Tsinghua University, 2015-2021, Advised by Prof. Shiji Song and Prof. Gao Huang; B.E., Department of Automation, Northwestern Polytechnical University, 2011-2015.
Background
  • Currently a Special Research Fellow at Xi'an Jiaotong University and a member of the AI-SEC research Lab. His research mainly focuses on AI security and computer vision, in particular Trustworthy AI, Large Vision-Language Models (LVLMs), Dynamic Neural Networks, Efficient Learning/Inference, and Video Understanding.
Miscellany
  • Personal interests and hobbies not mentioned.