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Resume (English only)
Academic Achievements
Paper 'AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?' accepted by ICCV 2025
Paper 'When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack' accepted by ICCV 2025
Paper 'Distributionally Location-Aware Transferable Adversarial Patches for Facial Images' accepted by IEEE TPAMI 2025
Paper 'Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models' accepted by ECCV 2024 with Oral presentation
Awarded National Scholarship, Outstanding Graduate, and Innovation Model (Xidian University) in 2021
Background
4th-year Ph.D. student at the Institute of Artificial Intelligence, Beihang University (BUAA)
Member of ROSE Vision Lab, advised by Prof. Xingxing Wei (National-level Young Talent)
Currently a visiting student at TSAIL, Tsinghua University, jointly supervised by Prof. Hang Su and A/Prof. Yinpeng Dong
Research interests focus on vision-language models' applications and robustness in spatial perception (e.g., 3D relationships, viewpoint transformations)
Also interested in trustworthiness and security of Embodied AI systems and vision-language navigation tasks