Ruhui Ma
15 papers · 2019–2025 · 10 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (44)
π€
Dynamic Duo
(12)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Learning Types Β· Machine Learning
(7)
Deep Learning
(4)
Application Areas
(4)
Core AI
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Processing
(3)
Natural Language Processing
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Learning Paradigms Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Keywords
personalized federated learning
(3)
model personalization
(3)
uncertainty quantification
(2)
bayesian neural network
(2)
epistemic uncertainty
(2)
federated learning
(2)
client-server architecture
(2)
domain adaptation
(1)
adversarial robustness
(1)
representation learning
(1)
self-supervised learning
(1)
knowledge transfer
(1)
information extraction
(1)
model evaluation
(1)
posterior sampling
(1)
adversarial learning
(1)
adversarial training
(1)
temporal information
(1)
parameter estimation
(1)
distributed learning
(1)
Papers
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
JMLR 2025
TST: A Schema-Based Top-Down and Dynamic-Aware Agent of Text-to-Table Tasks
ACL 2025
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
ECCV 2024
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
EMNLP 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
Improving Bayesian Neural Networks by Adversarial Sampling
AAAI 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
Dual Adversarial Network for Deep Active Learning
ECCV 2020
Reinforcing Neural Network Stability with Attractor Dynamics
AAAI 2020
Object Guided External Memory Network for Video Object Detection
ICCV 2019