Zengqiang Yan
11 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Types
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Domain-Specific
(2)
Learning Paradigms Β· Machine Learning
(2)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Processing
(1)
Keywords
federated learning
(3)
gaussian mixture model
(2)
medical image segmentation
(2)
medical imaging
(1)
knowledge distillation
(1)
class-incremental learning
(1)
model aggregation
(1)
class imbalance
(1)
label noise
(1)
3d representation
(1)
model generalization
(1)
image quality
(1)
intermediate representation
(1)
token merging
(1)
sharpness matching
(1)
quality shift
(1)
annotation noise
(1)
vehicle pose estimation
(1)
noisy client identification
(1)
non-iid annotation noise
(1)
Papers
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
AAAI 2026
Towards Robust Medical Image Referring Segmentation with Incomplete Textual Prompts
MICCAI 2025
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
MICCAI 2024
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
AAAI 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
AAAI 2024
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
MICCAI 2024
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
MICCAI 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
IJCAI 2024
Revisiting Self-Attention in Medical Transformers via Dependency Sparsification
MICCAI 2024
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
IJCAI 2023
Exploring intermediate representation for monocular vehicle pose estimation
CVPR 2021