activity
20222026
most citedMeta-Causal Feature Learning for Out-of-Distribution Generalization

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Child-Oriented AIGC Video Risk Reviewing: A Benchmark and Knowledge-Supported Iterative Reasoning Framework

Lewen Mi, Manyi Li, Yuling Sun +5

The rapid growth of Artificial Intelligence-generated content (AIGC) is reshaping video production and circulation, exposing children to an increasing volume of AIGC videos. Unlike…

cs.CV2024

Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment

Yuze Zheng, Zixuan Li, Xiangxian Li +4

Image classification models often demonstrate unstable performance in real-world applications due to variations in image information, driven by differing visual perspectives of sub…

cs.CV2023

Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning

Zitan Chen, Zhuang Qi, Xiao Cao +3

Representation learning for images has been advanced by recent progress in more complex neural models such as the Vision Transformers and new learning theories such as the structur…

cs.IR2023★ 1 cited

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation

Haokai Ma, Zhuang Qi, Xinxin Dong +3

Multimedia recommendation aims to fuse the multi-modal information of items for feature enrichment to improve the recommendation performance. However, existing methods typically in…

cs.CV2022★ 1 cited

Meta-Causal Feature Learning for Out-of-Distribution Generalization

Yuqing Wang, Xiangxian Li, Zhuang Qi +4

Causal inference has become a powerful tool to handle the out-of-distribution (OOD) generalization problem, which aims to extract the invariant features. However, conventional meth…