Mao, Jiayuan

42 publications

ICML 2025 Agent Workflow Memory Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig

NeurIPS 2025 Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models Simeng Han, Howard Dai, Stephen Xia, Grant Zhang, Chen Liu, Lichang Chen, Hoang H Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy

AAAI 2025 Infer Human's Intentions Before Following Natural Language Instructions Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

NeurIPS 2025 Learning Linear Attention in Polynomial Time Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum, Stefanie Jegelka, Jacob Andreas

ICLR 2025 What Makes a Maze Look like a Maze? Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah Goodman, Jiajun Wu

NeurIPS 2024 Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

ICLR 2024 Grounding Language Plans in Demonstrations Through Counterfactual Perturbations Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah

NeurIPSW 2024 Infer Human’s Intentions Before Following Natural Language Instructions Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

CoRL 2024 Learning Compositional Behaviors from Demonstration and Language Weiyu Liu, Neil Nie, Ruohan Zhang, Jiayuan Mao, Jiajun Wu

ICLR 2024 Learning Grounded Action Abstractions from Language Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas

ICML 2024 Learning Iterative Reasoning Through Energy Diffusion Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum

ICLR 2024 Learning Planning Abstractions from Language Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu

ICLR 2024 Learning to Act from Actionless Videos Through Dense Correspondences Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum

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

CoRL 2023 Compositional Diffusion-Based Continuous Constraint Solvers Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

TMLR 2023 DisCo: Improving Compositional Generalization in Visual Reasoning Through Distribution Coverage Joy Hsu, Jiayuan Mao, Jiajun Wu

AAAI 2023 Learning Rational Subgoals from Demonstrations and Instructions Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

CoRL 2023 Learning Reusable Manipulation Strategies Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

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

ICLR 2023 Programmatically Grounded, Compositionally Generalizable Robotic Manipulation Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao

NeurIPS 2023 What Planning Problems Can a Relational Neural Network Solve? Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling

NeurIPS 2023 What’s Left? Concept Grounding with Logic-Enhanced Foundation Models Joy Hsu, Jiayuan Mao, Josh Tenenbaum, Jiajun Wu

NeurIPS 2022 CLEVRER-Humans: Describing Physical and Causal Events the Human Way Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah Goodman, Jiajun Wu

ICLR 2022 FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic Descriptions, and Conceptual Relations Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum

NeurIPS 2022 HandMeThat: Human-Robot Communication in Physical and Social Environments Yanming Wan, Jiayuan Mao, Josh Tenenbaum

NeurIPS 2022 IKEA-Manual: Seeing Shape Assembly Step by Step Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu

NeurIPS 2022 PDSketch: Integrated Domain Programming, Learning, and Planning Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling

CVPR 2022 Programmatic Concept Learning for Human Motion Description and Synthesis Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

LoG 2022 Sparse and Local Networks for Hypergraph Reasoning Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao

ECCV 2022 Translating a Visual LEGO Manual to a Machine-Executable Plan Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu

NeurIPS 2021 Grammar-Based Grounded Lexicon Learning Jiayuan Mao, Freda Shi, Jiajun Wu, Roger P. Levy, Josh Tenenbaum

ICLR 2021 Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan

CVPR 2021 Hierarchical Motion Understanding via Motion Programs Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

IJCAI 2021 Temporal and Object Quantification Networks Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman

NeurIPS 2020 Multi-Plane Program Induction with 3D Box Priors Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu

ICLR 2019 Neural Logic Machines Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

ICML 2019 Neurally-Guided Structure Inference Sidi Lu, Jiayuan Mao, Joshua Tenenbaum, Jiajun Wu

ICLR 2019 The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences from Natural Supervision Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu

NeurIPS 2019 Visual Concept-Metaconcept Learning Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu

ECCV 2018 Acquisition of Localization Confidence for Accurate Object Detection Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang

ICLR 2018 Universal Agent for Disentangling Environments and Tasks Jiayuan Mao, Honghua Dong, Joseph J. Lim

CVPR 2017 What Can Help Pedestrian Detection? Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao