Jiayuan Mao 茅佳源
Email: jiayuanm [at] mit [dot] edu
Jiayuan Mao is a fifth-year PhD student at MIT EECS, advised by Prof. Josh Tenenbaum and Prof. Leslie Kaelbling. Previously, she obtained her Bachelor's degree from YaoClass, Tsinghua University.
Email: jiayuanm [at] mit [dot] edu
Jiayuan Mao is a fifth-year PhD student at MIT EECS, advised by Prof. Josh Tenenbaum and Prof. Leslie Kaelbling. Previously, she obtained her Bachelor's degree from YaoClass, Tsinghua University.
Underrepresented groups: including but not limited to gender/racial/ethnic minority groups.
My long-term research goal is to build machines that can continually learn concepts (e.g., properties, relations, skills, and rules) from their experiences and apply them for reasoning and planning in the physical world.
Topics:
Concept Learning and Language Acquisition /
Reasoning and Planning /
Scene and Activity Understanding
Past topics: Object Detection /
Structured NLP
(*/†: indicates equal contribution.)
CVPR 2023
Paper /
Project Page /
Code
Presented at CVPR 2023 Workshop On Compositional 3D Vision (Oral)
ICLR 2023 (Notable Top 25%) Paper / Project Page
NeurIPS 2022 Datasets and Benchmarks Track Paper / Project Page / Code
NeurIPS 2022 Datasets and Benchmarks Track Paper / Project Page / Code
NeurIPS 2022 Datasets and Benchmarks Track Paper / Project Page / Code
IJCAI 2021 Paper / Project Page / Code
(First two authors contributed equally; order determined by coin toss.)
ArXiv 2020 Paper
ICCV 2019 Paper / Project Page
(First two authors contributed equally; order determined by coin toss.)
ACL 2019 (Best Paper Nomination) Paper / Project Page / Code
CVPR 2019
(Oral)
Paper
Presented at NAACL 2019 SpLU-RoboNLP
ICLR 2019 (Oral) Paper / Project Page / Code / MIT News / MIT Technology Review
ArXiv Preprint Paper
