Tao Song
21 papers · 2018–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(15)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(98)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Learning Types
(11)
Artificial Intelligence
(10)
Computer Vision
(7)
Deep Learning
(6)
Core AI
(5)
Learning Paradigms Β· Artificial Intelligence
(5)
Optimization & Theory
(5)
Application Areas
(4)
Domain-Specific
(4)
Processing
(4)
Learning Paradigms Β· Machine Learning
(3)
Models
(3)
Security & Privacy
(2)
Bayesian & Probabilistic
(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)
temporal information
(1)
feature extraction
(1)
Papers
Poisoning with a Pill: Circumventing Detection in Federated Learning
AAAI 2026
Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code
CVPR 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
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
CVPR 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
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
Semi-supervised Medical Image Segmentation through Dual-task Consistency
AAAI 2021
Themis: A Fair Evaluation Platform for Computer Vision Competitions
IJCAI 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