Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction. - Yu Fang; Xuemei Cao 001; Xin Wang 064; Fan Min 001 (PAKDD (2), 2022)

Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations. - Yu-Xuan Zhang; Hua Meng; Xuemei Cao 001; Zhengchun Zhou; Mei Yang 002 (CoRR, 2022)

Three-way sampling for rapid attribute reduction. - Yu Fang; Xuemei Cao 001; Xin Wang 064; Fan Min 001 (Inf. Sci., 2022)

Interpreting vulnerabilities of multi-instance learning to adversarial perturbations. - Yu-Xuan Zhang; Hua Meng; Xuemei Cao 001; Zhengchun Zhou; Mei Yang 002; Avik Ranjan Adhikary (Pattern Recognit., 2023)

Open Continual Feature Selection via Granular-Ball Knowledge Transfer. - Xuemei Cao 001; Xin Yang 012; Shuyin Xia; Guoyin Wang 001; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Open continual sampling with hypersphere knowledge transfer for rapid feature selection. - Xuemei Cao 001; Xiangkun Wang; Haoyang Liang; Bingjun Wei; Xin Yang 012 (Appl. Soft Comput., 2025)

RACE: Robust adaptive and clustering elimination for noisy labels in continual learning. - Xiaolong Yang; Guannan Lai; Dan Meng 004; Xuemei Cao 001; Xin Yang 012 (Knowl. Based Syst., 2025)

ErrorEraser: Unlearning Data Bias for Improved Continual Learning. - Xuemei Cao 001; Hanlin Gu; Xin Yang 012; Bingjun Wei; Haoyang Liang; Xiangkun Wang; Tianrui Li 001 (CoRR, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)