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Journal Articles
- 2024
[j3]Mengqi Wang, Jiayuan Mao, Wei Zhao, Xinya Han, Mengya Li, Chuanjun Liao, Haomiao Sun, Kexin Wang:
Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network. J. Grid Comput. 22(1): 25 (2024)- 2023
- [j2]Joy Hsu, Jiayuan Mao, Jiajun Wu:
DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage. Trans. Mach. Learn. Res. 2023 (2023) - 2019
- [j1]Jiayuan Mao, Yuan Yao, Stefan Heinrich
, Tobias Hinz, Cornelius Weber, Stefan Wermter, Zhiyuan Liu, Maosong Sun:
Bootstrapping Knowledge Graphs From Images and Text. Frontiers Neurorobotics 13: 93 (2019)
Conference and Workshop Papers
- 2024
- [c40]Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. ICLR 2024 - [c39]Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu:
Learning Planning Abstractions from Language. ICLR 2024 - [c38]Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. ICLR 2024 - [c37]Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas:
Learning Grounded Action Abstractions from Language. ICLR 2024 - [c36]Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum:
Learning Iterative Reasoning through Energy Diffusion. ICML 2024 - 2023
- [c35]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. AAAI 2023: 12068-12078 - [c34]Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. CoRL 2023: 1300-1315 - [c33]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRL 2023: 1467-1483 - [c32]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL 2023: 3242-3265 - [c31]Joy Hsu, Jiayuan Mao, Jiajun Wu:
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CVPR 2023: 2614-2623 - [c30]Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao:
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. ICLR 2023 - [c29]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. NeurIPS 2023 - [c28]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 - 2022
- [c27]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Programmatic Concept Learning for Human Motion Description and Synthesis. CVPR 2022: 13833-13842 - [c26]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu:
Translating a Visual LEGO Manual to a Machine-Executable Plan. ECCV (37) 2022: 677-694 - [c25]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. ICLR 2022 - [c24]Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao:
Sparse and Local Networks for Hypergraph Reasoning. LoG 2022: 34 - [c23]Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS 2022 - [c22]Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu:
CLEVRER-Humans: Describing Physical and Causal Events the Human Way. NeurIPS 2022 - [c21]Yanming Wan, Jiayuan Mao, Josh Tenenbaum:
HandMeThat: Human-Robot Communication in Physical and Social Environments. NeurIPS 2022 - [c20]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu:
IKEA-Manual: Seeing Shape Assembly Step by Step. NeurIPS 2022 - 2021
- [c19]Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu:
Language-Mediated, Object-Centric Representation Learning. ACL/IJCNLP (Findings) 2021: 2033-2046 - [c18]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Hierarchical Motion Understanding via Motion Programs. CVPR 2021: 6568-6576 - [c17]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. ICLR 2021 - [c16]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. IJCAI 2021: 2804-2811 - [c15]Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum:
Grammar-Based Grounded Lexicon Learning. NeurIPS 2021: 7865-7878 - 2020
- [c14]Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum:
Jointly learning motion verbs and frame semantics from natural language and grounded scenes. CogSci 2020 - [c13]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction From a Single Image. CVPR 2020: 4433-4442 - [c12]Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. NeurIPS 2020 - 2019
- [c11]Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu:
Visually Grounded Neural Syntax Acquisition. ACL (1) 2019: 1842-1861 - [c10]Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma:
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. CVPR 2019: 6609-6618 - [c9]Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. ICCV 2019: 4029-4038 - [c8]Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou:
Neural Logic Machines. ICLR (Poster) 2019 - [c7]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. ICLR 2019 - [c6]Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. ICML 2019: 4144-4153 - [c5]Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. NeurIPS 2019: 5002-5013 - 2018
- [c4]Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun:
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. COLING 2018: 3715-3727 - [c3]Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang:
Acquisition of Localization Confidence for Accurate Object Detection. ECCV (14) 2018: 816-832 - [c2]Jiayuan Mao, Honghua Dong, Joseph J. Lim:
Universal Agent for Disentangling Environments and Tasks. ICLR (Poster) 2018 - 2017
- [c1]Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao:
What Can Help Pedestrian Detection? CVPR 2017: 6034-6043
Informal and Other Publications
- 2024
- [i46]Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR abs/2403.17124 (2024) - [i45]Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu:
Learning Planning Abstractions from Language. CoRR abs/2405.03864 (2024) - [i44]Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. CoRR abs/2405.05876 (2024) - [i43]Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, Roger P. Levy:
Finding structure in logographic writing with library learning. CoRR abs/2405.06906 (2024) - [i42]Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu:
"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR abs/2405.11928 (2024) - [i41]Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum:
Learning Iterative Reasoning through Energy Diffusion. CoRR abs/2406.11179 (2024) - [i40]Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig:
Agent Workflow Memory. CoRR abs/2409.07429 (2024) - [i39]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) - [i38]Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques:
Infer Human's Intentions Before Following Natural Language Instructions. CoRR abs/2409.18073 (2024) - 2023
- [i37]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu:
IKEA-Manual: Seeing Shape Assembly Step by Step. CoRR abs/2302.01881 (2023) - [i36]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. CoRR abs/2303.05487 (2023) - [i35]Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR abs/2303.05490 (2023) - [i34]Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao:
Sparse and Local Networks for Hypergraph Reasoning. CoRR abs/2303.05496 (2023) - [i33]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Planning Domain Programming and Learning. CoRR abs/2303.05501 (2023) - [i32]Joy Hsu, Jiayuan Mao, Jiajun Wu:
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CoRR abs/2303.13483 (2023) - [i31]Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao:
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. CoRR abs/2304.13826 (2023) - [i30]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR abs/2309.00966 (2023) - [i29]Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu:
CLEVRER-Humans: Describing Physical and Causal Events the Human Way. CoRR abs/2310.03635 (2023) - [i28]Yanming Wan, Jiayuan Mao, Joshua B. Tenenbaum:
HandMeThat: Human-Robot Communication in Physical and Social Environments. CoRR abs/2310.03779 (2023) - [i27]Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. CoRR abs/2310.08576 (2023) - [i26]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. CoRR abs/2310.16035 (2023) - [i25]Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRR abs/2311.03293 (2023) - [i24]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? CoRR abs/2312.03682 (2023) - [i23]Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas:
Learning adaptive planning representations with natural language guidance. CoRR abs/2312.08566 (2023) - 2022
- [i22]Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum:
Grammar-Based Grounded Lexicon Learning. CoRR abs/2202.08806 (2022) - [i21]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. CoRR abs/2203.16639 (2022) - [i20]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Programmatic Concept Learning for Human Motion Description and Synthesis. CoRR abs/2206.13502 (2022) - [i19]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu:
Translating a Visual LEGO Manual to a Machine-Executable Plan. CoRR abs/2207.12572 (2022) - 2021
- [i18]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. CoRR abs/2103.16564 (2021) - [i17]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Hierarchical Motion Understanding via Motion Programs. CoRR abs/2104.11216 (2021) - [i16]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. CoRR abs/2106.05891 (2021) - 2020
- [i15]Chi Han, Jiayuan Mao, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. CoRR abs/2002.01464 (2020) - [i14]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction from a Single Image. CoRR abs/2006.14708 (2020) - [i13]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. CoRR abs/2011.10007 (2020) - [i12]Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan:
Object-Centric Diagnosis of Visual Reasoning. CoRR abs/2012.11587 (2020) - [i11]Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu:
Language-Mediated, Object-Centric Representation Learning. CoRR abs/2012.15814 (2020) - 2019
- [i10]Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma:
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations. CoRR abs/1904.05521 (2019) - [i9]Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou:
Neural Logic Machines. CoRR abs/1904.11694 (2019) - [i8]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. CoRR abs/1904.12584 (2019) - [i7]Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu:
Visually Grounded Neural Syntax Acquisition. CoRR abs/1906.02890 (2019) - [i6]Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. CoRR abs/1906.07304 (2019) - [i5]Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. CoRR abs/1909.02116 (2019) - 2018
- [i4]Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun:
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. CoRR abs/1806.10348 (2018) - [i3]Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang:
Acquisition of Localization Confidence for Accurate Object Detection. CoRR abs/1807.11590 (2018) - [i2]Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou:
Neural Phrase-to-Phrase Machine Translation. CoRR abs/1811.02172 (2018) - 2017
- [i1]Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao:
What Can Help Pedestrian Detection? CoRR abs/1705.02757 (2017)
Coauthor Index
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