Learning Hyperbolic Representations for Unsupervised 3D Segmentation. - Joy Hsu; Jeffrey Gu; Gong-Her Wu; Wah Chiu; Serena Yeung (CoRR, 2020)

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations. - Joy Hsu; Jeffrey Gu; Gong Her Wu; Wah Chiu; Serena Yeung (NeurIPS, 2021)

Staying in shape: learning invariant shape representations using contrastive learning. - Jeffrey Gu; Serena Yeung (UAI, 2021)

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. - Kuan-Chieh Wang; Zhenzhen Weng; Maria Xenochristou; João Pedro Araújo; Jeffrey Gu; C. Karen Liu; Serena Yeung (CVPR, 2023)

Generalizable Neural Fields as Partially Observed Neural Processes. - Jeffrey Gu; Kuan-Chieh Wang; Serena Yeung (ICCV, 2023)

Hyperbolic Deep Learning in Computer Vision: A Survey. - Pascal Mettes; Mina Ghadimi Atigh; Martin Keller-Ressel; Jeffrey Gu; Serena Yeung (Int. J. Comput. Vis., 2024)

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature. - Alejandro Lozano; Min Woo Sun; James Burgess; Liangyu Chen 005; Jeffrey J. Nirschl; Jeffrey Gu; Ivan Lopez; Josiah Aklilu; Anita Rau; Austin Wolfgang Katzer; Yuhui Zhang; Collin Chiu; et al. (CVPR, 2025)

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models. - Jeffrey Gu; Serena Yeung-Levy (ICLR, 2025)

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI. - Alejandro Lozano; Min Woo Sun; James Burgess; Jeffrey J. Nirschl; Christopher Polzak; Yuhui Zhang; Liangyu Chen 005; Jeffrey Gu; Ivan Lopez; Josiah Aklilu; Anita Rau; Austin Wolfgang Katzer; et al. (CoRR, 2025)