- PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
- MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
- MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
- MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
Awards:
- 2025.06: Code of MMUnlearner released
- 2025.05: Two papers accepted by ACL’25 Findings, one paper accepted by ACL’25 (Industry) Oral
- 2025.02: One paper submitted to ACL’25
- 2024.09: Code of MMNeuron released
- 2024.09: One paper accepted by EMNLP’24
- 2024.06: One paper submitted to EMNLP’24
Research Experience
2024.02 - 2024.10 Intern, HKUST(GZ), mentored by Dr. Xuming Hu; 2025.05 - 2025.07 Visiting Student, Institute for Advanced Algorithms Research (IRRA), Shanghai; 2024.10 - 2025.03 Visiting Student, Technical University of Munich; 2025.06 - present Intern, Alibaba Group.
Education
2021.09 - 2025.07 Undergraduate Student, Data Science, Tongji University, advised by Prof. Zhihua Wei.
Background
Undergraduate student in Data Science at Tongji University, with research interests in multimodal and explainable AI, generative models, machine unlearning, and differential privacy. Additionally, passionate about mathematics, programming, and data visualization.
Miscellany
Personal interests include mathematics, programming, and data visualization.