Yongxin Guo
12 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Renaissance Researcher (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Keyword Champion
(2)
π
Grand Slam
π
Century Club
(10)
β‘
Prolific Year
(7)
Conferences
ICLR (3)
ACL (2)
ICML (2)
AAAI (1)
CVPR (1)
ICCV (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(3)
data heterogeneity
(2)
client sampling
(2)
feature learning
(1)
image restoration
(1)
mathematical reasoning
(1)
convergence analysis
(1)
code generation
(1)
image synthesis
(1)
video temporal grounding
(1)
medical image segmentation
(1)
model aggregation
(1)
neural network optimization
(1)
variance reduction
(1)
distribution shift
(1)
diffusion model
(1)
convergence rate
(1)
credit assignment
(1)
synthetic data augmentation
(1)
mask generation
(1)
Papers
Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
ACL 2026
G2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance
ACL 2026
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
CVPR 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
ICCV 2025
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
ICLR 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
ICLR 2025
TRACE: Temporal Grounding Video LLM via Causal Event Modeling
ICLR 2025
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
AAAI 2025
Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis
MICCAI 2025
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
ICML 2024
DELTA: Diverse Client Sampling for Fasting Federated Learning
NIPS 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
ICML 2023