Tao Song

20 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)

🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (45) 🏆 Keyword Champion (2) 🤝 Dynamic Duo (14) 📈 Trend Setter 🚀 Conference Pioneer 💎 Century Club (19) 🗃️ Keyword Collector (94) 🔥 Unstoppable (8)

Conferences

AAAI (6) ICCV (4) CVPR (2) ECCV (2) ICML (1) IJCAI (1) JMLR (1) MICCAI (1) MIDL (1) NIPS (1)

Top co-authors

Yang Hua (15) Haibing Guan (14) Ruhui Ma (12) Hao Wang (11) Zhengui XUE (11) Jiaru Zhang (5) Jianqing Zhang (4) Jian Cao (3) Hanming Deng (3) Xiaoyu Wu (3)

Research topics

Privacy (2)

Keywords

federated learning (4) model personalization (3) personalized federated learning (3) medical image segmentation (2) semi-supervised learning (2) distributed learning (2) adversarial learning (2) bayesian neural network (2) diffusion model (2) client-server architecture (2) uncertainty quantification (2) epistemic uncertainty (2) copyright protection (2) knowledge transfer (1) self-supervised learning (1) adversarial robustness (1) representation learning (1) parameter estimation (1) adversarial training (1) feature extraction (1)

Papers

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026 FilterDiff: Noise-free Frequency-domain Diffusion Models for Accelerated MRI Reconstruction MICCAI 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks ECCV 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 Eliminating Domain Bias for Federated Learning in Representation Space NIPS 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 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023 A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract) AAAI 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer MIDL 2022 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 Semi-supervised Medical Image Segmentation through Dual-task Consistency AAAI 2021 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Object Guided External Memory Network for Video Object Detection ICCV 2019 Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation ECCV 2018