Xiaohan Zou

According to our database, Xiaohan Zou authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias.

Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, Dan Roth

CoRR, April, 2026

CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs.

Yongkang Du, Xiaohan Zou, Minhao Cheng, Lu Lin

CoRR, March, 2026

2025

Understanding and Rectifying Safety Perception Distortion in VLMs.

Xiaohan Zou, Jian Kang, George Kesidis, Lu Lin

CoRR, February, 2025

scDVAE:Single-Cell Data Clustering Based on Variational Autoencoder With Disentangled Latent Representations.

Xiaohan Zou, Weihua Zheng, Shunfang Wang

IEEE Trans. Comput. Biol. Bioinform., 2025

Leveraging an LLM-enhanced bilingual conversational agent for EFL children's dialogic reading: Insights from children, parents, and educators.

Feiwen Xiao, Zhaohui Li, Jiaju Lin, Xiaohan Zou, Dandan Yang, Ellen Wenting Zou, Jinjun Xiong

Comput. Educ. Artif. Intell., 2025

Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning.

Xiaohan Zou, Wenchao Ma, Shu Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

StoryLab: Empowering Personalized Learning for Children Through Teacher-Guided Multimodal Story Generation.

Zhaohui Li, Feiwen Xiao, Jiaju Lin, Xiaohan Zou, Qingxiao Zheng, Jinjun Xiong

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration.

Shu Zhao, Xiaohan Zou, Tan Yu, Huijuan Xu

CoRR, 2024

2022

TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval.

Xiaohan Zou, Changqiao Wu, Lele Cheng, Zhongyuan Wang

CoRR, 2022

Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation.

Xiaohan Zou, Tong Lin

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

To be an Artist: Automatic Generation on Food Image Aesthetic Captioning.

Xiaohan Zou, Cheng Lin, Yinjia Zhang, Qinpei Zhao

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020