Hadi Salman
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Also affiliated: Microsoft (United States) (2019–2021); United States Food and Drug Administration (2026); Massachusetts Institute of Technology (2021–2023); Carnegie Mellon University (2016–2018); Texas A&M University (2026); American University of Beirut (2015)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Hadi Salman's research focuses on the application of advanced computational techniques, particularly deep learning and neural networks, to address complex challenges in biomedical research. His work investigates methods for enhancing the robustness and reliability of deep learning models, exploring areas such as adversarial robustness and convex relaxation barriers for neural network verification. Salman has published on topics including provably robust deep learning and the transferability of robust models. His scholarly contributions are evidenced by an h-index of 18, with over 1,300 citations across 54 publications. He has also contributed to significant projects such as the GPT-4o system card, indicating his engagement with state-of-the-art artificial intelligence systems.
Metrics
- h-index: 18
- Publications: 45
- Citations: 1,286
Selected Publications
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GANomics: bridging legacy and modern transcriptomic platforms for clinical applications (2026)
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Identifying and training deep learning neural networks on biomedical-related datasets (2024)
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OrthoNets: Orthogonal Channel Attention Networks (2023)
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WaveNets: Wavelet Channel Attention Networks (2022)
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Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering (2020)
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Similarity Metric for Millions of Unlabeled Face Images (2020)
Collaboration Network
Top Collaborators
- WaveNets: Wavelet Channel Attention Networks
- Similarity Metric for Millions of Unlabeled Face Images
- OrthoNets: Orthogonal Channel Attention Networks
- WaveNets: Wavelet Channel Attention Networks
- Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering
- WaveNets: Wavelet Channel Attention Networks
- OrthoNets: Orthogonal Channel Attention Networks
- OrthoNets: Orthogonal Channel Attention Networks
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
- Identifying and training deep learning neural networks on biomedical-related datasets
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