2026
arXiv
From ‘What-If’ to ‘What-Is’: Counterfactual Thinking-Inspired Semantic Alignment for Visual Brain Decoding
K Yan, C Liu, C Zhu, H Chen, G Wu, M Wang, X Han, T Zhu
科研成果
论文与科研成果
收录 GRINLab 自 2024 年以来的论文发表与公开研究资源。
学术发表
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仅展示 2024 年（含）之后的论文，按年份倒序排列。
2026
Knowledge-Based Systems
Fundus Image-Based Glaucoma Screening via Retinal Knowledge-Oriented Dynamic Multi-Level Feature Integration
C Liu, Y Zhou, S Shen, Z Ge, F Jing, S Zhang, Y Jiang, A Wang, W Liu, et al.
2026
Ophthalmology Science
Does the Lens Continue to Counteract Axial Elongation in Highly Myopic Adults?
S Zhang, C Liu, Y Chen, R Xiong, Z Li, L Jin, J Zhang, O Xiao, Q Yin, et al.
2026
Nature Health
Cost-Effectiveness Analysis of Human–AI Collaboration in Disease Screening
Y Wang, X Han, W Hu, K Zhou, C Liu, J Zhang, LZ Zhu, S Joseph, Q Yin, et al.
2026
2026 Joint International Conference on Automation-Intelligence-Safety (ICAIS)
Domain-Generalizable Diabetic Retinopathy Diagnosis via Architecture-Aware Adaptive Frequency Enhancement
Z Luo, C Liu
2026
2026
CogSci 2026
Learning to Look before Learning to Like: Incorporating Human Visual Cognition into Aesthetic Quality Assessment
L Yu, C Liu, X Han, C Zhu, M Wang, S Shen
2026
arXiv
Are LLMs Ready for Computer Science Education? A Cross-Domain, Cross-Lingual and Cognitive-Level Evaluation Using Professional Certification Exams
C Gao, C Liu, Z Luo, D Xiao, M Sui, S Shen, C Zhu, H Chen, X Zuo, Z Ge, et al.
2026
AAAI 2026
Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method
C Liu, J Liu, C Zhu, M Wang, S Shen, J Gu, T Zhu, W Zhou
2025
IEEE Transactions on Emerging Topics in Computational Intelligence
Navigating Unlearning in Medical AI: A Framework for Diabetic Retinopathy Classification
X Li, C Liu, Y Qu, S Cui, C Chen, X Yuan, Z Ge, L Gao
2025
IEEE Transactions on Dependable and Secure Computing
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
C Liu, T Zhu, W Zhou, W Zhao
2025
BMJ Open Ophthalmology
Enhancing AI-Based Diabetic Retinopathy Diagnosis through Universal Cross-Camera Image Adaptation
S Joseph, X Chen, C Liu, Z Zhu, K Ramasamy, TD Ravilla, Z Ge, M He
2025
Scientific Reports
Kraak Porcelain Decorative Pattern Restoration Using Generative AI: A Pilot Study
R Yujie, L Haotian, L Chi
2025
Journal of Refractive Surgery
Automated Quantification of Lens Cortex and Nuclear Opacity Based on Swept-Source Anterior Segment Optical Coherence Tomography
X Han, X Zhang, J Zhang, H Lin, Y Xu, C Liu, Y Zhang, A Jin, D Mehta, et al.
2025
IEEE BIBM 2025
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving
Z Luo, C Liu, D Xiao, Z Yu, Y Wang, T Zhu
2025
Ophthalmology Science
The Association between Myopia and Anxiety: A Bidirectional 2-Sample Mendelian Randomization Study
W Wong, Y Qin, C Liu, S Zhang, Y Jiang, Y Zeng, D Wang, L Liang, X Han
2025
Knowledge Science, Engineering and Management
BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses Under Pruned Models
R Liang, S Zhou, M Zhu, C Liu, M Qi
2025
Knowledge Science, Engineering and Management
Robust AI-Synthesized Image Detection via Multi-feature Frequency-Aware Learning
H Cai, C Liu, S Shen, Y Qu, P Gui
2025
Knowledge Science, Engineering and Management
Can LLMs Assist Computer Education? An Empirical Case Study of DeepSeek
D Xiao, C Gao, Z Luo, C Liu, S Shen
2025
Knowledge Science, Engineering and Management
Enhancing Fundus Image-Based Glaucoma Screening via Dynamic Global-Local Feature Integration
Y Zhou, C Liu, S Shen, S Le, L Yu, S Ouyang, Z Ge
2025
arXiv
Who’s the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems
Y Xie, C Zhu, X Zhang, T Zhu, D Ye, M Wang, C Liu
2025
Investigative Ophthalmology & Visual Science
Enhancing Artificial Intelligence-Based Diagnosis of Diabetic Retinopathy via Universal Cross-Camera Image Adaptation
S Joseph, X Chen, Z Ge, C Liu, K Ramasamy, T Ravilla, M He
2025
Eye Science
A Decade of Progress in Artificial Intelligence for Fundus Image-Based Diabetic Retinopathy Screening (2014–2024): A Bibliometric Analysis
Y Huang, Y Qi, C Liu, F Jing, C Li, M Wang, C Zhu, P Gui, Z Ge, X Han
2025
Eye Science
Economic Outcomes of AI-Based Diabetic Retinopathy Screening: A Systematic Review and Meta-Analysis
MH Yue Wu, Yueye Wang, Jian Zhang, Yanxian Chen, Keyao Zhou, Chi Liu, et al.
2025
Computers in Biology and Medicine
Addressing Underestimation and Explanation of Retinal Fundus Photo-Based Cardiovascular Disease Risk Score: Algorithm Development and Validation
Z Lin, C Liu, D Shi, Y Wang, W Hu, J Henwood, K Kiburg, et al.
2025
arXiv
Unleashing the Power of Pre-Trained Encoders for Universal Adversarial Attack Detection
Y Zhang, C Liu, S Zhou, S Shen, P Gui
2025
arXiv
What Is the Role of Human Decisions in a World of Artificial Intelligence: An Economic Evaluation of Human–AI Collaboration in Diabetic Retinopathy Screening
Y Wang, W Hu, K Zhou, C Liu, J Zhang, Z Zhu, S Joseph, Q Yin, L Luo, et al.
2025
Health Information Science and Systems
LASF: A Local Adaptive Segmentation Framework for Coronary Angiogram Segments
H Ren, D Li, F Jing, X Zhang, X Tian, S Xie, E Zhang, R Wang, H He, Y He, et al.
2025
European Conference on Computer Vision
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
M Hu, P Xia, L Wang, S Yan, F Tang, Z Xu, Y Luo, K Song, J Leitner, et al.
2024
arXiv
New Emerged Security and Privacy of Pre-Trained Model: A Survey and Outlook
M Yang, T Zhu, C Liu, WL Zhou, S Yu, PS Yu
2024
British Journal of Ophthalmology
Real-World Application of a Smartphone-Based Visual Acuity Test (WHOeyes) with Automatic Distance Calibration
Y Wu, S Keel, VLA Carneiro, S Zhang, W Wang, C Liu, X Tang, X Han, et al.
2024
International Conference on Algorithms and Architectures for Parallel Processing
DIsFU: Protecting Innocent Clients in Federated Unlearning
F Kong, X Tang, Y Weng, T Zhang, H Du, J Kang, C Liu
2024
British Journal of Ophthalmology
Towards Regulatory Generative AI in Ophthalmology Healthcare: A Security and Privacy Perspective
Y Wang, C Liu, K Zhou, T Zhu, X Han
2024
IEEE Transactions on Knowledge and Data Engineering
Federated Learning with Heterogeneous Client Expectations: A Game Theory Approach
S Shen, C Liu, TJ Lim
2024
IEEE Transactions on Medical Imaging
Prompt-Driven Latent Domain Generalization for Medical Image Classification
S Yan, Z Yu, C Liu, L Ju, D Mahapatra, B Betz-Stablein, V Mar, M Janda, et al.
2024
Computer Standards & Interfaces
When Deep Learning Meets Watermarking: A Survey of Application, Attacks and Defenses
H Chen, C Liu, T Zhu, W Zhou
2024
Computer Standards & Interfaces
Disentangling Different Levels of GAN Fingerprints for Task-Specific Forensics
C Liu, T Zhu, Y Zhao, J Zhang, W Zhou
2024
npj Digital Medicine
Economic Evaluation for Medical Artificial Intelligence: Accuracy vs. Cost-Effectiveness in a Diabetic Retinopathy Screening Case
Y Wang, C Liu, W Hu, L Luo, D Shi, J Zhang, Q Yin, L Zhang, X Han, M He
2024
IEEE Transactions on Services Computing
High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking
H Chen, T Zhu, C Liu, S Yu, W Zhou