Qicheng Lao
14 papers · 2019–2026 · 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(60)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Computer Vision
(3)
Application Areas
(3)
Core AI
(3)
Learning Paradigms
(3)
Healthcare & Medicine
(2)
Analysis
(2)
Clinical
(2)
Models
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Keywords
vision-language model
(3)
federated learning
(2)
domain adaptation
(2)
unsupervised domain adaptation
(2)
zero-shot learning
(1)
few-shot learning
(1)
contrastive learning
(1)
anomaly detection
(1)
catastrophic forgetting
(1)
game theory
(1)
medical imaging
(1)
text-to-image synthesis
(1)
prompt engineering
(1)
mutual information maximization
(1)
class imbalance
(1)
visual grounding
(1)
image generation
(1)
multi-objective optimization
(1)
generative model
(1)
reinforcement learning
(1)
Papers
MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding
CVPR 2026
D2MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training
MICCAI 2025
Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation
MICCAI 2025
Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations
NAACL 2025
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
ICML 2025
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
ICML 2025
Curriculum Prompting Foundation Models for Medical Image Segmentation
MICCAI 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NeurIPS 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
NeurIPS 2024
Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection
MICCAI 2024
MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY
ICLR 2023
Hypothesis Disparity Regularized Mutual Information Maximization
AAAI 2021
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
ICML 2020
Dual Adversarial Inference for Text-to-Image Synthesis
ICCV 2019