I am a senior undergraduate student in Data Science at Tongji University, where I have the privilege of being advised by Prof. Zhihua Wei. Since February 2024, I have been an intern at HKUST (Guangzhou) under the mentorship of Dr. Xuming Hu. Currently I’m studying at TUM School of Computation, Information and Technology (CIT) in Technical University of Munich (TUM) as an exchange student. I am honored to have collaborated with distinguished researchers such as Weize Liu, Yibo Yan and Kaichen Huang.
My research interests lie at the intersection of multimodal and explainable AI, with an additional focus on generative models, machine unlearning, and differential privacy. Beyond my research, I am also deeply passionate about mathematics, programming, and data visualization.
🔥 News
- 2024.10: 🎉🎉 Two paper submitted to ICLR 2025!
- 2024.09: 🎉🎉 Code of MMNeuron released.
- 2024.09: 🎉🎉 One paper accepted by EMNLP 2024!
- 2024.06: 🎉🎉 One paper submitted to EMNLP 2024!
📝 Publications
Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu
- A transferable framework for mining modality-specific neurons (MSNs) in MLLMs.
Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yi-Fan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
- The first benchmark designed to assess MLLMs’ capabilities in error detection.
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu
- Investigating the distribution of domain-specific neurons and the mechanism of how MLLMs process features from diverse domains.
📖 Educations
- 2021.09 - present, Undergraduate Student, Tongji University.
💻 Internships
- 2024.10 - present, Visiting Student, Technical University of Munich.
- 2024.02 - 2024.10, Intern, HKUST(GZ).