A self-adaptive evolutionary weighted extreme learning machine for binary imbalance learning. - Xiaofen Tang; Chen Li 030 (Prog. Artif. Intell., 2018)

Artificial bee colony optimization-based weighted extreme learning machine for imbalanced data learning. - Xiaofen Tang; Li Chen (Clust. Comput., 2019)

Network Architecture Reasoning Via Deep Deterministic Policy Gradient. - Huidong Liu; Fang Du; Xiaofen Tang; Hao Liu 019; Zhenhua Yu 002 (ICME, 2020)

A Hybrid of Random Over Sample Examples and Boosted C5.0 Algorithms for Breast Cancer Diagnosis on Imbalanced Data. - Jianxue Tian; Jue Zhang; Xiaofen Tang; Ting Dong (J. Medical Imaging Health Informatics, 2020)

A New Pedestrian Feature Description Method Named Neighborhood Descriptor of Oriented Gradients. - Qian Liu; Feng Yang 007; Xiaofen Tang (Int. J. Inf. Technol. Web Eng., 2021)

HA-FPN: Hierarchical Attention Feature Pyramid Network for Object Detection. - Jin Dang; Xiaofen Tang; Shuai Li (Sensors, 2023)

Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation. - Chenyang Wang 004; Zhendong Li; Xian Mo; Xiaofen Tang; Hao Liu 019 (IEEE Trans. Inf. Forensics Secur., 2023)

Few-Shot Object Detection via Disentangling Class-Related Factors in Feature Distribution. - Lili Wei; Xiaofen Tang; Jin Dang (PRCV (13), 2024)

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning. - Jordan Slessor; Dezheng Kong 004; Xiaofen Tang; Zheng En Than; Linglong Kong (CoRR, 2024)

Spatial-frequency consistency and bias-corrected for few-shot object detection. - Lirong Yan; Yongbing Zhang; Xiaofen Tang (J. Supercomput., 2025)