Jiaxiang Ren
13 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π Century Club Β· Bronze
ποΈ
Keyword Collector
(53)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(5)
Core AI
(4)
Computer Vision
(3)
Application Areas
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Domain-Specific
(2)
Optimization & Theory Β· Deep Learning
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Analysis
(1)
Keywords
federated learning
(4)
optical coherence tomography
(2)
non-iid data
(2)
model compression
(2)
adaptive optimization
(2)
certified robustness
(1)
medical imaging
(1)
robust optimization
(1)
self-supervised learning
(1)
curriculum learning
(1)
continual learning
(1)
distributed learning
(1)
network pruning
(1)
model aggregation
(1)
biomedical imaging
(1)
graph matching
(1)
distributed training
(1)
adversarial attack
(1)
dynamical system
(1)
fisher information
(1)
Papers
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
EACL 2026
Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images
CVPR 2025
Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
MICCAI 2025
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update
AAAI 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
EMNLP 2024
Self-supervised 3D Skeleton Completion for Vascular Structures
MICCAI 2024
Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain
MICCAI 2024
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
ICML 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
EMNLP 2023
Accelerated Federated Learning with Decoupled Adaptive Optimization
ICML 2022
Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
CVPR 2022
Integrated Defense for Resilient Graph Matching
ICML 2021
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
NeurIPS 2021