Qiong Wang
15 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(58)
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Computer Vision
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Optimization
(2)
Optimization & Theory
(2)
Processing
(2)
Artificial Intelligence
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Application Areas
(1)
Keywords
self-supervised learning
(2)
representation learning
(2)
semantic segmentation
(1)
catastrophic forgetting
(1)
object detection
(1)
multi-task learning
(1)
domain generalization
(1)
probabilistic modeling
(1)
spectral clustering
(1)
image restoration
(1)
continual learning
(1)
dimensionality reduction
(1)
medical imaging
(1)
image reconstruction
(1)
video understanding
(1)
instance segmentation
(1)
shadow detection
(1)
deep learning
(1)
masked training
(1)
transformer architecture
(1)
Papers
ShortageSim: Simulating Drug Shortages Under Information Asymmetry
AAAI 2026
Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
MICCAI 2025
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
MICCAI 2024
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
MICCAI 2024
Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
MICCAI 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes
WACV 2024
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
MICCAI 2024
Masked Image Training for Generalizable Deep Image Denoising
CVPR 2023
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
CVPR 2023
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels
ECCV 2022
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction
CVPR 2022
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
NeurIPS 2021
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud
CVPR 2020
Instance Shadow Detection
CVPR 2020
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering
CVPR 2017