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ORCIDPingchuan Ma 0002
Person information
- affiliation: Massachusetts Institute of Technology, CSAIL, Cambridge, USA
- affiliation (former): Nankai University, China
Other persons with the same name
- Pingchuan Ma 0001
![[0000-0003-3752-0803]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3752-0803")
— Meta AI (and 1 more) - Pingchuan Ma 0003 — Beihang University, Beijing, China
- Pingchuan Ma 0004 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)
- Pingchuan Ma 0005 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Pingchuan Ma 0006 — Heidelberg University, Heidelberg Collaboratory for Image Processing, IWR, Germany
- Pingchuan Ma 0007 — Shanghai University of Traditional Chinese Medicine, Longhua Hospital, China
- Pingchuan Ma 0008 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, KLMM, Beijing, China (and 1 more)
- Pingchuan Ma 0009 — East China University of Science and Technology, Department of Computer Science and Engineering, MoE Laboratory of Smart Manufacturing in Energy Chemical Process, Shanghai, China
- Pingchuan Ma 0011 — Dalian Maritime University, College of Artificial Intelligence, China
- Pingchuan Ma 0012 — Arizona State University, Tempe, AZ, USA
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2020 – today
- 2024
[c11]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. ICML 2024- [i18]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR abs/2405.09783 (2024) - [i17]Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik:
Neural Fluidic System Design and Control with Differentiable Simulation. CoRR abs/2405.14903 (2024) - [i16]Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik:
Physically Compatible 3D Object Modeling from a Single Image. CoRR abs/2405.20510 (2024) - [i15]Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark:
KAN 2.0: Kolmogorov-Arnold Networks Meet Science. CoRR abs/2408.10205 (2024) - [i14]Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik:
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. CoRR abs/2410.03920 (2024) - 2023
- [c10]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR 2023 - [c9]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. ICML 2023: 23279-23300 - [c8]Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. NeurIPS 2023 - [i13]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR abs/2303.09555 (2023) - [i12]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics. CoRR abs/2304.14369 (2023) - [i11]Liane Makatura, Michael Foshey, Bohan Wang, Felix Hähnlein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J. Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik:
How Can Large Language Models Help Humans in Design and Manufacturing? CoRR abs/2307.14377 (2023) - [i10]Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari, Jieliang Luo, Pingchuan Ma, Yichen Li, Farhad Javid, Edward Gu, Joshua Jacob, Shinjiro Sueda, Hui Li, Sachin Chitta, Wojciech Matusik:
ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility. CoRR abs/2309.16909 (2023) - [i9]Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. CoRR abs/2311.17053 (2023) - 2022
- [j3]Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik:
DiffPD: Differentiable Projective Dynamics. ACM Trans. Graph. 41(2): 13:1-13:21 (2022) - [c7]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. ICLR 2022 - [c6]Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann:
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models. ICML 2022: 16413-16427 - [c5]Allan Zhao, Jie Xu, Juan Salazar, Wei Wang, Pingchuan Ma, Daniela Rus, Wojciech Matusik:
Graph Grammar-Based Automatic Design for Heterogeneous Fleets of Underwater Robots. ICRA 2022: 3143-3149 - [c4]Allan Zhao, Tao Du, Jie Xu, Josie Hughes, Juan Salazar, Pingchuan Ma, Wei Wang, Daniela Rus, Wojciech Matusik:
Automatic Co-Design of Aerial Robots Using a Graph Grammar. IROS 2022: 11260-11267 - [c3]John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann:
Sim2Real for Soft Robotic Fish via Differentiable Simulation. IROS 2022: 12598-12605 - [i8]Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert K. Katzschmann:
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models. CoRR abs/2204.12584 (2022) - [i7]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. CoRR abs/2205.05678 (2022) - 2021
- [j2]Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik:
DiffAqua: a differentiable computational design pipeline for soft underwater swimmers with shape interpolation. ACM Trans. Graph. 40(4): 132:1-132:14 (2021) - [i6]Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik:
DiffPD: Differentiable Projective Dynamics with Contact. CoRR abs/2101.05917 (2021) - [i5]Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik:
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation. CoRR abs/2104.00837 (2021) - [i4]John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann:
Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation. CoRR abs/2109.14855 (2021) - 2020
- [c2]Pingchuan Ma, Tao Du, Wojciech Matusik:
Efficient Continuous Pareto Exploration in Multi-Task Learning. ICML 2020: 6522-6531 - [c1]Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik:
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control. ICML 2020: 10607-10616 - [i3]Pingchuan Ma, Tao Du, Wojciech Matusik:
Efficient Continuous Pareto Exploration in Multi-Task Learning. CoRR abs/2006.16434 (2020)
2010 – 2019
- 2019
- [i2]Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp:
Artificial Intelligence for Prosthetics - challenge solutions. CoRR abs/1902.02441 (2019) - [i1]Pingchuan Ma, Yao Zhou, Yu Lu, Wei Zhang:
Learning Efficient Video Representation with Video Shuffle Networks. CoRR abs/1911.11319 (2019) - 2018
- [j1]Pingchuan Ma, Yunsheng Tian, Zherong Pan, Bo Ren, Dinesh Manocha:
Fluid directed rigid body control using deep reinforcement learning. ACM Trans. Graph. 37(4): 96 (2018)
Coauthor Index
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