Min Liu

I am a second-year MSML student at Carnegie Mellon University, with interests in machine learning and robotics. I am fortunate to be advised by Murtaza Dalal and Ruslan Salakhutdinov.

Prior to CMU, I received my B.S. in Computer Science at Kuang Yaming Honors School, Nanjing University. I worked with Lin Shao, Xiangyu Yue, Shujian Huang and Alberto Sangiovanni-Vincentelli in several research projects at National University of Singapore, UC Berkeley, and Nanjing University.

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profile photo
News
  • [Jun, 2024] SoftMAC is accepted to IROS 2024.
  • [July, 2023] We have one paper accepted to ICCV 2023.
  • [Dec, 2022] Awarded SenseTime Scholarship (30 undergraduates in the field of AI in China).
  • [Nov, 2022] We have one paper accepted to AAAI 2023.
  • [Mar, 2022] Started internship at ByteDance AI Lab.
Research

I am interested in developing embodied agents that can efficiently learn from interactions, synthetic data, and Internet data, enabling them to solve complex problems in unseen environments. Key areas of focus include: (1) developing machine learning algorithms with better generalization and robustness, (2) building scalable robot learning systems that leverage diverse data sources, and (3) designing data engines for embodied AI and robotics research.

Publications
profile photo 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

profile photo Beating Backdoor Attack at Its Own Game
Min Liu, Alberto Sangiovanni-Vincentelli, Xiangyu Yue
International Conference on Computer Vision (ICCV), 2023
paper | code | video

profile photo 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
profile photo ByteDance, AI-Lab
Machine Learning (NLP) Intern
Shanghai, China
Education
NJU logo Carnegie Mellon University
M.S. in Machine Learning (2023 - 2024, Expected)
NJU logo Nanjing University
B.S. in Computer Science, Kuang Yaming Honors School (2019 - 2023)
Overall GPA: 91.2/100, Ranking: 1/15
Services
  • Conference reviewer: CVPR 2024
Miscellanea
  • My Chinese Name (surname first): 刘 闵.

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