Yang Hua

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026 Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling CVPR 2025 Judge and Improve: Towards a Better Reasoning of Knowledge Graphs with Large Language Models EMNLP 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs ICML 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration AAAI 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 Training Diffusion-based Generative Models with Limited Data ICML 2025 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 Improving the Fairness of the Min-Max Game in GANs Training WACV 2024 Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation WACV 2024 SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks ECCV 2024 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023 Eliminating Domain Bias for Federated Learning in Representation Space NeurIPS 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023 Spatio-temporal Prompting Network for Robust Video Feature Extraction ICCV 2023 Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency ECCV 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 TDViT: Temporal Dilated Video Transformer for Dense Video Tasks ECCV 2022 MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection AAAI 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Self-Supervised Vessel Segmentation via Adversarial Learning ICCV 2021 Themis: A Fair Evaluation Platform for Computer Vision Competitions IJCAI 2021 Learning Deep Relations to Promote Saliency Detection AAAI 2020 Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning ECCV 2020 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Deep Metric Learning by Online Soft Mining and Class-Aware Attention AAAI 2019 Object Guided External Memory Network for Video Object Detection ICCV 2019 Ranked List Loss for Deep Metric Learning CVPR 2019 Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States ECCV 2018 Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks ICCV 2017 Online Object Tracking With Proposal Selection ICCV 2015