Xuemei Cao

According to our database, Xuemei Cao authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Lifelong multi-view clustering with anchor-prototype collaboration.

Yangyang Wang, Yonghao Li, Xuemei Cao, Hao Yu, Jiafen Liu, Xin Yang

Pattern Recognit., 2026

Continual deep multi-view clustering via contrastive knowledge replay.

Haoyang Liang, Bingjun Wei, Xuemei Cao, Jiafen Liu, Xiaocao Ouyang, Jiangtao Qiu, Hao Wang, Xin Yang, Tianrui Li

Pattern Recognit., 2026

G-GBC: A Gaussian mixture-based granular ball computing method for robust CNN classification under noisy labels.

Junxiao Yang, Qiang Liu, Xuemei Cao, Fei Li, Xin Yang

Knowl. Based Syst., 2026

Alignment in large vision language models: A survey.

Yu Fang, Xiaoqi Pang, Qiyang Yu, Fan Min, Xuemei Cao, Pan Tao, Tianrui Li

Inf. Fusion, 2026

Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario.

Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation.

Qiyang Yu, Yu Fang, Tianrui Li, Xuemei Cao, Yan Chen, Jianghao Li, Fan Min, Yi Zhang

CoRR, November, 2025

Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting.

Qiyang Yu, Yu Fang, Tianrui Li, Xuemei Cao, Yan Chen, Jianghao Li, Fan Min

CoRR, November, 2025

Large-Small Model Collaborative Framework for Federated Continual Learning.

Hao Yu, Xin Yang, Boyang Fan, Xuemei Cao, Hanlin Gu, Lixin Fan, Qiang Yang

CoRR, August, 2025

Ten Challenging Problems in Federated Foundation Models.

Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang

IEEE Trans. Knowl. Data Eng., July, 2025

RACE: Robust adaptive and clustering elimination for noisy labels in continual learning.

Xiaolong Yang, Guannan Lai, Dan Meng, Xuemei Cao, Xin Yang

Knowl. Based Syst., 2025

Open continual sampling with hypersphere knowledge transfer for rapid feature selection.

Xuemei Cao, Xiangkun Wang, Haoyang Liang, Bingjun Wei, Xin Yang

Appl. Soft Comput., 2025

ErrorEraser: Unlearning Data Bias for Improved Continual Learning.

Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Open Continual Feature Selection via Granular-Ball Knowledge Transfer.

Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li

IEEE Trans. Knowl. Data Eng., December, 2024

2023

Interpreting vulnerabilities of multi-instance learning to adversarial perturbations.

Yu-Xuan Zhang, Hua Meng, Xuemei Cao, Zhengchun Zhou, Mei Yang, Avik Ranjan Adhikary

Pattern Recognit., October, 2023

2022

Three-way sampling for rapid attribute reduction.

Yu Fang, Xuemei Cao, Xin Wang, Fan Min

Inf. Sci., 2022

Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations.

Yu-Xuan Zhang, Hua Meng, Xuemei Cao, Zhengchun Zhou, Mei Yang

CoRR, 2022

Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction.

Yu Fang, Xuemei Cao, Xin Wang, Fan Min

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022