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Joy Hsu
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2020 – today
- 2024
- [c14]Chun Feng, Joy Hsu, Weiyu Liu, Jiajun Wu:
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners. CVPR 2024: 13269-13278 - [c13]Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu:
Learning Planning Abstractions from Language. ICLR 2024 - [i14]Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji:
Text-Based Reasoning About Vector Graphics. CoRR abs/2404.06479 (2024) - [i13]Chun Feng, Joy Hsu, Weiyu Liu, Jiajun Wu:
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners. CoRR abs/2404.19696 (2024) - [i12]Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu:
Learning Planning Abstractions from Language. CoRR abs/2405.03864 (2024) - [i11]Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. CoRR abs/2405.05876 (2024) - [i10]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah D. Goodman, Jiajun Wu:
What Makes a Maze Look Like a Maze? CoRR abs/2409.08202 (2024) - 2023
- [j1]Joy Hsu, Jiayuan Mao, Jiajun Wu:
DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. CoRL 2023: 1300-1315 - [c11]Joy Hsu, Jiayuan Mao, Jiajun Wu:
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CVPR 2023: 2614-2623 - [c10]Joy Hsu, Gabriel Poesia, Jiajun Wu, Noah D. Goodman:
Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning? ICBINB 2023: 21-28 - [c9]Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao:
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. ICLR 2023 - [c8]Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu:
Motion Question Answering via Modular Motion Programs. ICML 2023: 9312-9328 - [c7]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. NeurIPS 2023 - [i9]Joy Hsu, Jiayuan Mao, Jiajun Wu:
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CoRR abs/2303.13483 (2023) - [i8]Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao:
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. CoRR abs/2304.13826 (2023) - [i7]Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu:
Motion Question Answering via Modular Motion Programs. CoRR abs/2305.08953 (2023) - [i6]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. CoRR abs/2310.16035 (2023) - 2022
- [c6]Kyle Swanson, Joy Hsu, Mirac Suzgun:
Monte Carlo Tree Search for Interpreting Stress in Natural Language. LT-EDI 2022: 107-119 - [c5]Joy Hsu, Jiajun Wu, Noah D. Goodman:
Geoclidean: Few-Shot Generalization in Euclidean Geometry. NeurIPS 2022 - [i5]Kyle Swanson, Joy Hsu, Mirac Suzgun:
Monte Carlo Tree Search for Interpreting Stress in Natural Language. CoRR abs/2204.08105 (2022) - [i4]Joy Hsu, Jiajun Wu, Noah D. Goodman:
Geoclidean: Few-Shot Generalization in Euclidean Geometry. CoRR abs/2211.16663 (2022) - 2021
- [c4]Joy Hsu, Wah Chiu, Serena Yeung
:
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. CVPR 2021: 1003-1012 - [c3]Joy Hsu, Ramya Ravichandran, Edwin Zhang, Christine Keung:
Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments. EAAMO 2021: 8:1-8:8 - [c2]Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung:
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations. NeurIPS 2021: 5112-5123 - [i3]Joy Hsu, Wah Chiu, Serena Yeung:
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. CoRR abs/2104.01325 (2021) - 2020
- [i2]Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres:
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. CoRR abs/2009.10858 (2020) - [i1]Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung:
Learning Hyperbolic Representations for Unsupervised 3D Segmentation. CoRR abs/2012.01644 (2020)
2010 – 2019
- 2019
- [c1]Shibing Deng, Joy Hsu, Jadwiga R. Bienkowska, Paul A. Rejto, Tao Xie:
Detecting somatic mutations with high accuracy in plasma cell-free DNA with TNER2. BIBM 2019: 78-81
Coauthor Index
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