Ling Zhang
26 papers · 2012–2026 · 8 venues · across top CS/AI venues
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Achievements
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(13)
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Topic Evolution
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Mega-Team Β· Squad
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Conference Pioneer
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Keyword Collector
(108)
Top co-authors
Research topics
Computer Vision
(12)
Deep Learning
(12)
Machine Learning
(9)
Domain-Specific
(8)
Artificial Intelligence
(7)
Architectures
(7)
Core AI
(7)
Healthcare & Medicine
(6)
Clinical
(6)
Processing
(6)
Analysis
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Keywords
medical imaging
(6)
shadow removal
(4)
contrastive learning
(4)
image restoration
(4)
generative adversarial network
(3)
vision-language model
(3)
computed tomography
(2)
zero-shot classification
(2)
medical image segmentation
(2)
attention mechanism
(2)
radiology report
(2)
self-supervised learning
(1)
metric learning
(1)
object detection
(1)
anomaly detection
(1)
image segmentation
(1)
3d vision
(1)
local attention
(1)
semantic segmentation
(1)
sample complexity
(1)
Papers
CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation
ACL 2026
Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
AAAI 2026
Rounded or Streamlined Head? Bridging Concept Bottleneck Models and Attribute-Described Object Parts
CVPR 2026
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
ICCV 2025
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
CVPR 2025
Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
MICCAI 2025
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
ICLR 2025
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
MICCAI 2025
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation
MICCAI 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
CVPR 2024
Improved Esophageal Varices Assessment from Non-Contrast CT Scans
MICCAI 2024
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
MICCAI 2024
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
CVPR 2024
Prompting Whole Slide Image Based Genetic Biomarker Prediction
MICCAI 2024
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
ICCV 2023
Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization
CVPR 2023
Document Image Shadow Removal Guided by Color-Aware Background
CVPR 2023
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management
CVPR 2021
CANet: A Context-Aware Network for Shadow Removal
ICCV 2021
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 2020
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
AAAI 2020
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
ICCV 2019
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
CVPR 2018
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context
CVPR 2017
Zhou qiaoli: A divide-and-conquer strategy for semantic dependency parsing
SemEval 2012