Zhang, Jianqing

9 publications

ICML 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang

ICLRW 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Ye Ouyang, Xiaozhou Ye, Yaqin Zhang

ICML 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang

MLOSS 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao

CVPR 2024 An Upload-Efficient Scheme for Transferring Knowledge from a Server-Side Pre-Trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

AAAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

NeurIPS 2023 Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

ICCV 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan