Min Liu

Hi there! I am a researcher at Skild AI working on robot learning. Recently, I received my M.S. in Machine Learning from Carnegie Mellon University, where I had the privilege of working with Prof. Ruslan Salakhutdinov, Prof. Deepak Pathak, and Murtaza Dalal. Prior to that, I completed my B.S. in Computer Science at Nanjing University, advised by Prof. Xiangyu Yue and Prof. Lin Shao.

I am broadly interested in deep reinforcement learning, generative world modeling, and their applications in robotics. Feel free to reach out if you have shared research interests. I am always open to collaboration and discussions!

News

[Jan, 2025] Start my position at Skild AI.
[Jan, 2025] ManipGen is accepted to ICRA 2025.
[Oct, 2024] We released ManipGen, a generalist agent for long-horizon manipulation!
[Jun, 2024] SoftMAC is accepted to IROS 2024.
[July, 2023] Non-Adversarial Backdoor is accepted to ICCV 2023.
[Dec, 2022] Awarded SenseTime Scholarship (30 undergraduates in the field of AI in China).
[Nov, 2022] SelectiveKD is accepted to AAAI 2023.
[Mar, 2022] Start internship at ByteDance AI Lab.

Publications

(* denotes equal contribution; representative papers are highlighted)

	Local Policies Enable Zero-shot Long Horizon Manipulation Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov International Conference on Robotics and Automation (ICRA), 2025 CoRL Learning Effective Abstractions for Planning Workshop, 2024 (Oral) paper \| code \| website \| video
	SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes Min Liu, Gang Yang, Siyuan Luo, Lin Shao International Conference on Intelligent Robots and Systems (IROS), 2024 paper \| code \| website \| video
	Beating Backdoor Attack at Its Own Game Min Liu, Alberto Sangiovanni-Vincentelli, Xiangyu Yue International Conference on Computer Vision (ICCV), 2023 paper \| code \| video
	Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang AAAI Conference on Artificial Intelligence (AAAI), 2023 paper \| code

Work Experience

Skild AI
Research Engineer (2025.1 - present)
Pittsburgh, PA

ByteDance Research
Machine Learning Intern (2022.3 - 2022.9)
Shanghai, China

Education

Carnegie Mellon University
M.S. in Machine Learning (2023 - 2024)

Nanjing University
B.S. in Computer Science, Kuang Yaming Honors School (2019 - 2023)

Services

Conference reviewer: CVPR (2024, 2025), ICRA (2025)

Miscellanea

My Chinese Name (surname first): 刘闵.
I am from Yangzhou, Jiangsu Province in China. I've also lived in Nanjing, Shanghai, Hong Kong, and Pittsburgh.

This homepage is designed based on Jon Barron's website and deployed on Github Pages.