Minghua Liu*, Ruoxi Shi*, Linghao Chen*, Zhuoyang Zhang*, Chao Xu*, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su
CVPR 2024
I recently got my Ph.D. in Computer Science & Engineering (CSE) at UC San Diego, advised by Prof. Hao Su. Prior to UCSD, I received my Bachelor degree at the Peking University, advised by Prof. Liwei Wang.
My research topics include Embodied AI and 3D vision. Specifically, I am interested in developing robust robot learning systems in both simulation and the real world.
Starting in Summer 2024, I will join ShanghaiTech University as an Assistant Professor at the School of Information Science and Technology. If you are interested in working with me, please send me your CV.
New [2024.4] I will join ShanghaiTech University as an Assistant Professor.
[2024.1] RT-Trajectory is accepted to ICLR 2024 as a spotlight (5%).
[2023.7] I co-organize the GMPL workshop at RSS 2023.
[2023.1] Two papers are accepted to ICLR 2023.
[2022.8] ManiSkill 2022 Challenge is open!
[2022.6] I give a talk at the CVPR 2022 tutorial Building and Working in Environments for Embodied AI.
[2022.4] I co-organize the first VOLI workshop at ECCV 2022.
[2020.9] Two papers are accepted to NeurIPS 2020.
[2020.7] Two papers (spotlight) are accepted to ECCV 2020.
[2019.01.12] Codes for Multi-view PointNet for 3D Scene Understanding are released.
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao
ICLR 2024 (spotlight)
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh*, Jeannette Bohg*, Stefan Schaal*
An Open-source Recipe for Building Simulated Robot Manipulation Benchmarks
Jiayuan Gu, Linghao Chen, Zhiwei Jia, Fanbo Xiang, Hao Su
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu, Fanbo Xiang, et.al.
ICLR 2023
Multi-skill Mobile Manipulation for Object Rearrangement
Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik
ICLR 2023 (spotlight)
Rank 1st in Habitat Rearrangement Challenge 2022
Compositionally Generalizable 3D Structure Prediction
Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su
Preprint
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Tongzhou Mu*, Jiayuan Gu*, Zhiwei Jia, Hao Tang, Hao Su
NeurIPS 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su
NeurIPS 2020
Weakly-supervised 3D Shape Completion in the Wild
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao
Su, Raquel Urtasun
ECCV 2020 (Spotlight)
Deep Feedback Inverse Problem Solver
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel
Urtasun
ECCV 2020 (Spotlight)
Multi-view PointNet for 3D Scene Understanding
Maximilian Jaritz, Jiayuan Gu, Hao Su
ICCVW 2019 (Geometry Meets Deep Learning Workshop)
To What Extent Do Different Neural Networks Learn the Same Representation: A Neuron
Activation Subspace Match Approach
Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft
NeurIPS 2019 (Spotlight)
Learning Region Features for Object Detection
Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, and Jifeng Dai
ECCV 2018
Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, and Yichen Wei
CVPR 2018 (Oral)
Conference reviewer: CVPR (2019-2023), ICCV (2019, 2021), ECCV (2020), NeurIPS (2020-2023), ICML (2021), ICLR (2023-2024), AAAI (2021), ICRA (2022)
Journal reviewer: PAMI, IJCV