Xiaofan Li

According to our database, Xiaofan Li authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off.

Xiaofan Li, Ming Yang, Zhiyuan Ma, Shichao Ma, Jintao Du, Yu Cheng, Weiqiang Wang, Zhizhong Zhang, Xin Tan, Yanyun Qu, Lizhuang Ma, Yuan Xie

CoRR, April, 2026

A Task-Aware Parameter Decoupling Framework for Continual Anomaly Detection.

Zhizhong Zhang, Guchu Zou, Chengwei Chen, Zhenyi Qi, Xiaoyang Yu, Jingwen Qi, Yongke Yao, Xiaofan Li, Yuan Xie, Xin Tan

IEEE Trans. Ind. Informatics, February, 2026

FocusPatch AD: Few-Shot Multi-Class Anomaly Detection With Unified Keywords Patch Prompts.

Xicheng Ding, Xiaofan Li, Mingang Chen, Jingyu Gong, Yuan Xie

IEEE Trans. Image Process., 2026

2025

One-for-More: Continual Diffusion Model for Anomaly Detection.

Xiaofan Li, Xin Tan, Zhuo Chen, Zhizhong Zhang, Ruixin Zhang, Rizen Guo, Guannan Jiang, Yulong Chen, Yanyun Qu, Lizhuang Ma, Yuan Xie

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

2024

One-Stage Training Generative Paradigm for Generalized Zero-Shot Learning.

Shiran Bian, Xiaofan Li, Yachao Zhang, Jiayong Zhong, Yanyun Qu

Proceedings of the IEEE International Conference on Acoustics, 2024

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection.

Xiaofan Li, Zhizhong Zhang, Xin Tan, Chengwei Chen, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning.

Xiaofan Li, Yachao Zhang, Shiran Bian, Yanyun Qu, Yuan Xie, Zhongchao Shi, Jianping Fan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning.

Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022