Hua, Yang

1. Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
   2023/02/09 by Chumeng Liang, Liang, Chumeng, Xiaoyu Wu +15 · 22 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
2. FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
   2024/01/06 by Zhang, Jianqing, Liu, Yang, Hua, Yang +1 · 7 citations
   #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
3. PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
   2023/12/08 by Jianqing Zhang, Zhang, Jianqing, Yang Liu +13 · 5 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
4. Eliminating Domain Bias for Federated Learning in Representation Space
   2023/11/25 by Jianqing Zhang, Zhang, Jianqing, Hua Yang +13 · 4 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
5. Ranked List Loss for Deep Metric Learning
   2019/03/08 by Xinshao Wang, Hua Yang, Wang, Xinshao +5 · 2 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition
6. An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
   2024/03/23 by Zhang, Jianqing, Liu, Yang, Hua, Yang +1 · 4 citations
   #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
7. IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters
   2019/03/28 by Xinshao Wang, Hua Yang, Wang, Xinshao +7 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
8. GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
   2023/08/20 by Zhang, Jianqing, Hua, Yang, Wang, Hao +5 · 2 citations
   #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
9. SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
   2023/12/19 by Peishen Yan, Hao Wang, Yan, Peishen +13 · 2 citations
   Computer Science · #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
10. Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
    2023/08/08 by Zhuang, Haomin, Yu, Mingxian, Wang, Hao +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
    2025/06/04 by Jianqing Zhang, Xinghao Wu, Zhang, Jianqing +17 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Big Data and Digital Economy #Distributed #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
12. Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks
    2024/05/30 by Xiaoyu Wu, Jiaru Zhang, Wu, Xiaoyu +11 · 1 citation
    Engineering · Energy · #Welding Techniques and Residual Stresses #Energy, Environment, and Transportation Policies #Nuclear reactor physics and engineering