← Authors

Yang Hua

39 papers · 2015–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (74) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (163) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (38) ⚑ Prolific Year (5)

Conferences

AAAI (10) ICCV (7) CVPR (6) ECCV (5) ICML (3) WACV (2) AISTATS (1) EMNLP (1) ICLR (1) IJCAI (1) JMLR (1) NIPS (1)

Top co-authors

Haibing Guan (15) Tao Song (15) Hao Wang (13) Ruhui Ma (12) Zhengui XUE (11) Guosheng Hu (8) Guanxiong Sun (7) Jianqing Zhang (7) Jian Cao (6) Neil Robertson (6)

Research topics

Privacy (2)

Keywords

federated learning (6) personalized federated learning (3) self-supervised learning (3) generative adversarial network (3) model personalization (3) client-server architecture (2) bayesian neural network (2) heterogeneous model (2) diffusion model (2) deep metric learning (2) distributed learning (2) image generation (2) adversarial learning (2) epistemic uncertainty (2) temporal information (2) feature extraction (2) copyright protection (2) knowledge transfer (2) uncertainty quantification (2) video object detection (2)

Papers

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