Yongxin Guo
13 papers · 2023–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π Keyword Champion (2) π€ Dynamic Duo (10)
π
Grand Slam
ποΈ
Keyword Collector
(62)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(5)
Core AI
(5)
Application Areas
(4)
Deep Learning
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Core Methods
(2)
Models
(2)
Processing
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
federated learning
(4)
distribution shift
(2)
client sampling
(2)
data heterogeneity
(2)
video temporal grounding
(2)
video large language model
(2)
mathematical reasoning
(1)
feature distribution
(1)
image segmentation
(1)
convergence analysis
(1)
code generation
(1)
model architecture
(1)
image synthesis
(1)
video understanding
(1)
multimodal learning
(1)
image restoration
(1)
neural network optimization
(1)
model aggregation
(1)
efficient computing
(1)
natural language 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
Momentum Memory for Knowledge Distillation in Computational Pathology
CVPR 2026
Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis
MICCAI 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
ICCV 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
ICLR 2025
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
ICLR 2025
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
CVPR 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
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
ICML 2024
DELTA: Diverse Client Sampling for Fasting Federated Learning
NeurIPS 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
ICML 2023