Jiayuan Mao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 85

Top Topics

Pedestrian Detection

Planning Problems

Concept Learning

Top Venues

Publications

Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu
Learning Planning Abstractions from Language. ICLR (2024)
Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, Roger P. Levy
Finding structure in logographic writing with library learning. CoRR (2024)
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. ICLR (2024)
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 (2024)
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR (2024)
Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu
Learning Planning Abstractions from Language. CoRR (2024)
Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu
Composable Part-Based Manipulation. CoRR (2024)
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)
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
Learning to Act from Actionless Videos through Dense Correspondences. ICLR (2024)
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) (2024)
Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum
Learning Iterative Reasoning through Energy Diffusion. CoRR (2024)
Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu
CLEVRER-Humans: Describing Physical and Causal Events the Human Way. CoRR (2023)
Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. NeurIPS (2023)
Joy Hsu, Jiayuan Mao, Jiajun Wu
DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage. Trans. Mach. Learn. Res. 2023 (2023)
Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR (2023)
Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. CoRR (2023)
Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling
On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR (2023)
Joy Hsu, Jiayuan Mao, Jiajun Wu
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CoRR (2023)
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)
Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. ICLR (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
What Planning Problems Can A Relational Neural Network Solve? CoRR (2023)
Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu
Composable Part-Based Manipulation. CoRL (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
What Planning Problems Can A Relational Neural Network Solve? NeurIPS (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
PDSketch: Integrated Planning Domain Programming and Learning. CoRR (2023)
Yanming Wan, Jiayuan Mao, Joshua B. Tenenbaum
HandMeThat: Human-Robot Communication in Physical and Social Environments. CoRR (2023)
Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Reusable Manipulation Strategies. CoRR (2023)
Joy Hsu, Jiayuan Mao, Jiajun Wu
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CVPR (2023)
Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum
Learning to Act from Actionless Videos through Dense Correspondences. CoRR (2023)
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu
IKEA-Manual: Seeing Shape Assembly Step by Step. CoRR (2023)
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
Learning Reusable Manipulation Strategies. CoRL (2023)
Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. CoRR (2023)
Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
Learning Rational Subgoals from Demonstrations and Instructions. CoRR (2023)
Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling
Learning Rational Subgoals from Demonstrations and Instructions. AAAI (2023)
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 (2023)
Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao
Sparse and Local Networks for Hypergraph Reasoning. CoRR (2023)
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu
Translating a Visual LEGO Manual to a Machine-Executable Plan. ECCV (37) (2022)
Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu
CLEVRER-Humans: Describing Physical and Causal Events the Human Way. NeurIPS (2022)
Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao
Sparse and Local Networks for Hypergraph Reasoning. LoG (2022)
Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu
Programmatic Concept Learning for Human Motion Description and Synthesis. CoRR (2022)
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu
Translating a Visual LEGO Manual to a Machine-Executable Plan. CoRR (2022)
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 (2022)
Yanming Wan, Jiayuan Mao, Josh Tenenbaum
HandMeThat: Human-Robot Communication in Physical and Social Environments. NeurIPS (2022)
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)
Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu
Programmatic Concept Learning for Human Motion Description and Synthesis. CVPR (2022)
Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum
Grammar-Based Grounded Lexicon Learning. CoRR (2022)
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu
IKEA-Manual: Seeing Shape Assembly Step by Step. NeurIPS (2022)
Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS (2022)
Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu
Hierarchical Motion Understanding via Motion Programs. CVPR (2021)
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 (2021)
Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu
Language-Mediated, Object-Centric Representation Learning. ACL/IJCNLP (Findings) (2021)
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
Temporal and Object Quantification Networks. IJCAI (2021)
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)
Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum
Grammar-Based Grounded Lexicon Learning. NeurIPS (2021)
Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu
Hierarchical Motion Understanding via Motion Programs. CoRR (2021)
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman
Temporal and Object Quantification Networks. CoRR (2021)
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Perspective Plane Program Induction from a Single Image. CoRR (2020)
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 (2020)
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)
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Perspective Plane Program Induction From a Single Image. CVPR (2020)
Chi Han, Jiayuan Mao, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu
Visual Concept-Metaconcept Learning. CoRR (2020)
Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu
Multi-Plane Program Induction with 3D Box Priors. NeurIPS (2020)
Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan
Object-Centric Diagnosis of Visual Reasoning. CoRR (2020)
Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu
Language-Mediated, Object-Centric Representation Learning. CoRR (2020)
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu
Visually Grounded Neural Syntax Acquisition. CoRR (2019)
Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu
Visual Concept-Metaconcept Learning. NeurIPS (2019)
Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
Neural Logic Machines. CoRR (2019)
Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu
Neurally-Guided Structure Inference. CoRR (2019)
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 (2019)
Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
Neural Logic Machines. ICLR (Poster) (2019)
Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu
Neurally-Guided Structure Inference. ICML (2019)
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu
Visually Grounded Neural Syntax Acquisition. ACL (1) (2019)
Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Program-Guided Image Manipulators. CoRR (2019)
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)
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 (2019)
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 (2019)
Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Program-Guided Image Manipulators. ICCV (2019)
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)
Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. CoRR (2018)
Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou
Neural Phrase-to-Phrase Machine Translation. CoRR (2018)
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang
Acquisition of Localization Confidence for Accurate Object Detection. ECCV (14) (2018)
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang
Acquisition of Localization Confidence for Accurate Object Detection. CoRR (2018)
Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. COLING (2018)
Jiayuan Mao, Honghua Dong, Joseph J. Lim
Universal Agent for Disentangling Environments and Tasks. ICLR (Poster) (2018)
Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao
What Can Help Pedestrian Detection? CoRR (2017)
Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao
What Can Help Pedestrian Detection? CVPR (2017)