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Career

· PhD Student, Berkeley AI Research2023–

Publications (16)

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set
Radiology · 2020
155
cited
Rosetta Neurons: Mining the Common Units in a Model Zoo
IEEE International Conference on Computer Vision · 2023
39
cited
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Computer Vision and Pattern Recognition · 2022
21
cited
Idempotent Generative Network
International Conference on Learning Representations · 2023
21
cited
Interpreting the Weight Space of Customized Diffusion Models
Neural Information Processing Systems · 2024
20
cited
Vision Transformers Don't Need Trained Registers
arXiv.org · 2025
14
cited
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
ShapeMI@MICCAI · 2020
13
cited
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2022
11
cited
DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels
Bioengineering · 2023
5
cited
Employing Deep Networks for Image Processing on Small Research Datasets
Microscopy Today · 2019
4
cited
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks
AAAI Conference on Artificial Intelligence · 2021
4
cited
Early Upper Aerodigestive Tract Cancer Detection Using Electron Microscopy to Reveal Chromatin Packing Alterations in Buccal Mucosa Cells
Microscopy and Microanalysis · 2021
3
cited
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2022
2
cited
Caption-Driven Explainability: Probing CNNs for Bias via CLIP
arXiv.org · 2025
DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels
arXiv.org · 2023
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