Ling Zhang
25 papers · 2012–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (4) 🏃 Academic Marathon (13) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(13)
🤝
Dynamic Duo
(13)
👥
Mega-Team
(25)
🧬
Topic Evolution
💎
Century Club
(23)
📈
Trend Setter
⚡
Prolific Year
(5)
🚀
Conference Pioneer
🗃️
Keyword Collector
(97)
🔥
Unstoppable
(5)
Conferences
CVPR (9)
MICCAI (6)
ICCV (4)
AAAI (2)
ACL (1)
ICLR (1)
MIDL (1)
SEMEVAL (1)
Top co-authors
Keywords
medical imaging
(6)
image restoration
(4)
shadow removal
(4)
contrastive learning
(3)
generative adversarial network
(3)
medical image segmentation
(2)
attention mechanism
(2)
computed tomography
(2)
metric learning
(1)
anomaly detection
(1)
image segmentation
(1)
object detection
(1)
self-supervised learning
(1)
local attention
(1)
semantic segmentation
(1)
3d vision
(1)
sample complexity
(1)
image generation
(1)
feature embedding
(1)
knowledge distillation
(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
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
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
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
ICCV 2025
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 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
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
MICCAI 2024
Improved Esophageal Varices Assessment from Non-Contrast CT Scans
MICCAI 2024
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation
MICCAI 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
CVPR 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
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
AAAI 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
MIDL 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