Towards Heterogeneous Clients with Elastic Federated Learning. - Zichen Ma; Yu Lu; Zihan Lu; Wenye Li 001; Jinfeng Yi; Shuguang Cui (CoRR, 2021)

Federated Two-stage Learning with Sign-based Voting. - Zichen Ma; Zihan Lu; Yu Lu; Wenye Li 001; Jinfeng Yi; Shuguang Cui (CoRR, 2021)

Big-model Driven Few-shot Continual Learning. - Ziqi Gu; Chunyan Xu; Zihan Lu; Xin Liu 011; Anbo Dai; Zhen Cui 001 (CoRR, 2023)

Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images. - Zihan Lu; Chenxu Wang; Chunyan Xu; Xiangwei Zheng 001; Zhen Cui 001 (NeurIPS, 2024)

Designing Semantically-Resonant Abstract Patterns for Data Visualization. - Zihan Lu; Tingying He; Jiayi Hong; Lijie Yao; Tobias Isenberg 001 (CoRR, 2025)