Jiayuan Mao

Jiayuan Mao

Massachusetts Institute of Technology

H-index: 13

North America-United States

About Jiayuan Mao

Jiayuan Mao, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Artificial Intelligence, Robotics, Computer Vision, Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

What Planning Problems Can A Relational Neural Network Solve?

What’s Left? Concept Grounding with Logic-Enhanced Foundation Models

Learning Adaptive Planning Representations with Natural Language Guidance

Learning reusable manipulation strategies

Learning to Act from Actionless Videos through Dense Correspondences

Compositional Diffusion-Based Continuous Constraint Solvers

Composable part-based manipulation

Jiayuan Mao Information

University

Position

MIT CSAIL

Citations(all)

2910

Citations(since 2020)

2849

Cited By

915

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Jiayuan Mao Skills & Research Interests

Artificial Intelligence

Robotics

Computer Vision

Natural Language Processing

Machine Learning

Top articles of Jiayuan Mao

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

arXiv preprint arXiv:2403.17124

2024/3/25

What Planning Problems Can A Relational Neural Network Solve?

Advances in Neural Information Processing Systems

2024/2/13

Jiayuan Mao
Jiayuan Mao

H-Index: 9

What’s Left? Concept Grounding with Logic-Enhanced Foundation Models

Advances in Neural Information Processing Systems

2024/2/13

Learning Adaptive Planning Representations with Natural Language Guidance

ICLR

2024

Learning reusable manipulation strategies

2023/12/2

Jiayuan Mao
Jiayuan Mao

H-Index: 9

Learning to Act from Actionless Videos through Dense Correspondences

arXiv preprint arXiv:2310.08576

2023/10/12

Compositional Diffusion-Based Continuous Constraint Solvers

arXiv preprint arXiv:2309.00966

2023/9/2

Composable part-based manipulation

2023/8/30

Learning rational subgoals from demonstrations and instructions

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Jiayuan Mao
Jiayuan Mao

H-Index: 9

Jiajun Wu
Jiajun Wu

H-Index: 36

Programmatically grounded, compositionally generalizable robotic manipulation

arXiv preprint arXiv:2304.13826

2023/4/26

On the Expressiveness and Generalization of Hypergraph Neural Networks

arXiv preprint arXiv:2303.05490

2023/3/9

Jiayuan Mao
Jiayuan Mao

H-Index: 9

Ns3d: Neuro-symbolic grounding of 3d objects and relations

2023

Sparse and Local Networks for Hypergraph Reasoning

2022

PDSketch: Integrated domain programming, learning, and planning

Advances in Neural Information Processing Systems

2022/12/6

Jiayuan Mao
Jiayuan Mao

H-Index: 9

Ikea-manual: Seeing shape assembly step by step

Advances in Neural Information Processing Systems

2022/12/6

Handmethat: Human-robot communication in physical and social environments

Advances in Neural Information Processing Systems

2022/12/6

Jiayuan Mao
Jiayuan Mao

H-Index: 9

CLEVRER-Humans: Describing physical and causal events the human way

Advances in Neural Information Processing Systems

2022/12/6

DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage

Transactions on Machine Learning Research

2022/11/14

Translating a visual lego manual to a machine-executable plan

2022/10/22

FALCON: fast visual concept learning by integrating images, linguistic descriptions, and conceptual relations

2022/3/30

See List of Professors in Jiayuan Mao University(Massachusetts Institute of Technology)

Co-Authors

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