Detecting somatic mutations with high accuracy in plasma cell-free DNA with TNER2. - Shibing Deng; Joy Hsu; Jadwiga R. Bienkowska; Paul A. Rejto; Tao Xie 002 (BIBM, 2019)

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. - Joy Hsu; Sonia Phene; Akinori Mitani; Jieying Luo; Naama Hammel; Jonathan Krause; Rory Sayres (CoRR, 2020)

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

DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. - Joy Hsu; Wah Chiu; Serena Yeung (CVPR, 2021)

Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments. - Joy Hsu; Ramya Ravichandran; Edwin Zhang; Christine Keung (EAAMO, 2021)

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)

Monte Carlo Tree Search for Interpreting Stress in Natural Language. - Kyle Swanson; Joy Hsu; Mirac Suzgun (LT-EDI, 2022)

Geoclidean: Few-Shot Generalization in Euclidean Geometry. - Joy Hsu; Jiajun Wu 001; Noah D. Goodman (NeurIPS, 2022)

Composable Part-Based Manipulation. - Weiyu Liu; Jiayuan Mao; Joy Hsu; Tucker Hermans; Animesh Garg; Jiajun Wu 001 (CoRL, 2023)

NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. - Joy Hsu; Jiayuan Mao; Jiajun Wu 001 (CVPR, 2023)

Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning? - Joy Hsu; Gabriel Poesia; Jiajun Wu 001; Noah D. Goodman (ICBINB, 2023)

Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. - Renhao Wang; Jiayuan Mao; Joy Hsu; Hang Zhao; Jiajun Wu 001; Yang Gao 029 (ICLR, 2023)

Motion Question Answering via Modular Motion Programs. - Mark Endo; Joy Hsu; Jiaman Li; Jiajun Wu 001 (ICML, 2023)

What's Left? Concept Grounding with Logic-Enhanced Foundation Models. - Joy Hsu; Jiayuan Mao; Joshua B. Tenenbaum; Jiajun Wu 001 (NeurIPS, 2023)

DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage. - Joy Hsu; Jiayuan Mao; Jiajun Wu 001 (Trans. Mach. Learn. Res., 2023)

Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners. - Chun Feng; Joy Hsu; Weiyu Liu; Jiajun Wu 001 (CVPR, 2024)

Learning Planning Abstractions from Language. - Weiyu Liu; Geng Chen; Joy Hsu; Jiayuan Mao; Jiajun Wu 001 (ICLR, 2024)

Text-Based Reasoning About Vector Graphics. - Zhenhailong Wang; Joy Hsu; Xingyao Wang 002; Kuan-Hao Huang; Manling Li; Jiajun Wu 001; Heng Ji 001 (CoRR, 2024)

What Makes a Maze Look Like a Maze? - Joy Hsu; Jiayuan Mao; Joshua B. Tenenbaum; Noah D. Goodman; Jiajun Wu 001 (ICLR, 2025)

Predicate Hierarchies Improve Few-Shot State Classification. - Emily Jin; Joy Hsu; Jiajun Wu 001 (ICLR, 2025)

Visually Descriptive Language Model for Vector Graphics Reasoning. - Zhenhailong Wang; Joy Hsu; Xingyao Wang 002; Kuan-Hao Huang; Manling Li; Jiajun Wu 001; Heng Ji 001 (Trans. Mach. Learn. Res., 2025)