About Me
I am a final-year PhD student advised by Prof. Dr. Volker Tresp and Dr. Denis Krompass at LMU Munich and Siemens AG. Currently, I am a Research Scientist Intern at Siemens AG working in Federated Learning and Vision-Language Models (VLMs). Previously, I also interned at Intel , focusing on adversarial attacks and machine unlearning for Large Language Models (LLMs). Prior to my PhD, I received my Master’s degree in Computer Science at Technical University of Munich, supervised by Prof. Dr. Thomas Runkler, and my Bachelor’s degree in Mechatronics at Tongji University.
Research Interests
- Trustworthy AI: Federated Learning, Adversarial Attacks, Machine Unlearning.
- Generative AI: Large Language Models (LLMs), Vision-Language Foundation Models, Parameter Efficient Finetuning (PEFT)
Publications
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CVPR
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2025.
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AAAI
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Feb. 2025.
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AAAI
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024.
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ICCV
International Conference on Computer Vision (ICCV), Oct. 2023.
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ACML
14th Asian Conference on Machine Learning (ACML), Dec. 2022.
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WACV
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Feb. 2025
Services
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Conference Reviewers
Computer Vision: ECCV 2024, CVPR 2025, ICCV 2025
Machine Learning: NeurIPS 2024, ICLR 2025, ICML 2025, IJCNN 2025, AISTATS 2025, AAAI 2024-2025
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Journal Reviewers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPMAI)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Cognitive Communications and Networking (TCCN)
ACM Transactions on Knowledge Discovery from Data (TKDD)