Xuemei Cao

21 papers A* 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alignment in large vision language models: A survey.
Inf. Fusion
Yu Fang, Xiaoqi Pang, Qiyang Yu, Fan Min, Xuemei Cao, Pan Tao, Tianrui Li
2026 J jnl
Continual deep multi-view clustering via contrastive knowledge replay.
Pattern Recognit.
Haoyang Liang, Bingjun Wei, Xuemei Cao, Jiafen Liu, Xiaocao Ouyang, Jiangtao Qiu, Hao Wang, Xin Yang, Tianrui Li
2026 A* conf
Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario.
AAAI
Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang
2026 J jnl
G-GBC: A Gaussian mixture-based granular ball computing method for robust CNN classification under noisy labels.
Knowl. Based Syst.
Junxiao Yang, Qiang Liu, Xuemei Cao, Fei Li, Xin Yang
2026 J jnl
Lifelong multi-view clustering with anchor-prototype collaboration.
Pattern Recognit.
Yangyang Wang, Yonghao Li, Xuemei Cao, Hao Yu, Jiafen Liu, Xin Yang
2025 J jnl
Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting.
CoRR
Qiyang Yu, Yu Fang, Tianrui Li, Xuemei Cao, Yan Chen, Jianghao Li, Fan Min
2025 J jnl
Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario.
CoRR
Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang
2025 — conf
ErrorEraser: Unlearning Data Bias for Improved Continual Learning.
KDD (2)
Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li
2025 J jnl
ErrorEraser: Unlearning Data Bias for Improved Continual Learning.
CoRR
Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li
2025 J jnl
Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation.
CoRR
Qiyang Yu, Yu Fang, Tianrui Li, Xuemei Cao, Yan Chen, Jianghao Li, Fan Min, Yi Zhang
2025 J jnl
Large-Small Model Collaborative Framework for Federated Continual Learning.
CoRR
Hao Yu, Xin Yang, Boyang Fan, Xuemei Cao, Hanlin Gu, Lixin Fan, Qiang Yang
2025 J jnl
Open continual sampling with hypersphere knowledge transfer for rapid feature selection.
Appl. Soft Comput.
Xuemei Cao, Xiangkun Wang, Haoyang Liang, Bingjun Wei, Xin Yang
2025 J jnl
RACE: Robust adaptive and clustering elimination for noisy labels in continual learning.
Knowl. Based Syst.
Xiaolong Yang, Guannan Lai, Dan Meng, Xuemei Cao, Xin Yang
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
CoRR
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
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
IEEE Trans. Knowl. Data Eng.
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
2024 J jnl
Open Continual Feature Selection via Granular-Ball Knowledge Transfer.
CoRR
Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li
2024 J jnl
Open Continual Feature Selection via Granular-Ball Knowledge Transfer.
IEEE Trans. Knowl. Data Eng.
Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li
2023 J jnl
Interpreting vulnerabilities of multi-instance learning to adversarial perturbations.
Pattern Recognit.
Yu-Xuan Zhang, Hua Meng, Xuemei Cao, Zhengchun Zhou, Mei Yang, Avik Ranjan Adhikary
2022 — conf
Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction.
PAKDD (2)
Yu Fang, Xuemei Cao, Xin Wang, Fan Min
2022 J jnl
Three-way sampling for rapid attribute reduction.
Inf. Sci.
Yu Fang, Xuemei Cao, Xin Wang, Fan Min
2022 J jnl
Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations.
CoRR
Yu-Xuan Zhang, Hua Meng, Xuemei Cao, Zhengchun Zhou, Mei Yang