Haoran Wang

Georgia Institute of Technology — United States

Computer Science · Physical Sciences

7h-index772citations24works1.32yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(9), Multimodal Machine Learning Applications(5), COVID-19 diagnosis using AI(5), Advanced Neural Network Applications(3), Anomaly Detection Techniques and Applications(2)

Publications24 total

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
arXiv (Cornell University)·2025Open Access
Qianfan-VL: Domain-Enhanced Universal Vision-Language Models
arXiv (Cornell University)·2025Open Access
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
2025
RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving
2025· 1 cited
A Brand New Single-shot Structured-light Sensor for Railway Infrastructure 2D&3D Visual Inspection
2025Open Access
Gated parametric neuron for spike-based audio recognition
Neurocomputing·2024· 2 citedOpen Access
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
arXiv (Cornell University)·2024Open Access
Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution
arXiv (Cornell University)·2024Open Access
Mixture-of-experts and semantic-guided network for brain tumor segmentation with missing MRI modalities
Medical & Biological Engineering & Computing·2024· 2 cited
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Physics in Medicine and Biology·2024· 10 cited
Neural Field Classifiers via Target Encoding and Classification Loss
arXiv (Cornell University)·2024Open Access
Cdunet: A U-Shaped Encoder-Decoder Network with Channel Attention Block and Dynamic Feature Extraction Block for Ldct Denoising
SSRN Electronic Journal·2024Open Access
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
2023· 283 cited
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
arXiv (Cornell University)·2022· 9 citedOpen Access
Cold-start active learning for image classification
Information Sciences·2022· 30 cited
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans
Proceedings of the 31st ACM International Conference on Information & Knowledge Management·2022· 1 cited
Can multi-label classification networks know what they don’t know?
arXiv (Cornell University)·2021· 3 citedOpen Access
Scale-Aware Domain Adaptive Faster R-CNN
International Journal of Computer Vision·2021· 118 cited
Improving the Generalised Few-shot Learning by Semantic Information
2020· 1 cited
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
arXiv (Cornell University)·2020· 6 citedOpen Access
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Frequent Co-authors

Dengxin Dai(4), Lukas Hoyer(3), Luc Van Gool(3), Shiman Li(3), Tong Shen(2), Ling‐Yu Duan(2), Tao Mei(2), Matthew S. Hull(2), Alec Helbling(2), Mansi Phute(2), Willian T. Lunardi(2), Martin Andreoni Lopez(2), Wenke Lee(2), Duen Horng Chau(2), Wěi Zhāng(1), Y. Chen(1), Wen Li(1), Christos Sakaridis(1), Qiuye Jin(1), Mingzhi Yuan(1)