About Me

Hey there! I’m a Ph.D. student at Michigan State University, where I am working under the guidance of Prof. Xiaoming Liu. My research interests are predominantly in Computer Vision and Generative AI, with a specific emphasis on Compositionality and Concept Learning. I am passionate about exploring these areas to contribute to advancements in the field. Previously, I was fortunate to be supervised by Prof. Yu Liu and Prof. Qi Jia at Dalian University of Technology.

📖Publications

Conference Papers

Not Just Object, But State: Compositional Incremental Learning without Forgetting
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He

CSCNet: Class-Specified Cascaded Network for Compositional Zero-Shot Learning
In IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He

Journal Paper

Temporal Refinement and Multi-grained Matching for Moment Retrieval and Highlight Detection
Multimedia Systems, 2025
Cunjuan Zhu, Yanyi Zhang, Qi Jia, Weimin Wang, Yu Liu

PMGNet: Disentanglement and Entanglement Benefit Mutually for Compositional Zero-Shot Learning
Computer Vision and Image Understanding (CVIU), 2024
Yu Liu, Jianghao Li, Yanyi Zhang, Qi Jia, Weimin Wang, Nan Pu, Nicu Sebe

📄Resources

Awesome Compositional Zero-Shot

👨‍🏫Teaching

TA for Computer Vision, Fall 2022
At Ritsumeikan University and Dalian University of Technology

TA for Scientific and Technical Ethics, Spring 2024
At Dalian University of Technology

👔Services

Conference Reviewer

• Annual Conference on Neural Information Processing Systems (NeurIPS)
• International Joint Conference on Artificial Intelligence (IJCAI)
• European Conference on Artificial Intelligence (ECAI)
• International Joint Conference on Neural Networks (IJCNN)

Journal Reviewer

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• Applied Intelligence