I am a second-year Ph.D. student in Computer Science at the University of Texas at Austin. I am fortunate to be advised by Professor Yuke Zhu, and I am a member of the Robot Perception and Learning Lab. I am broadly interested in Robotics, Reinforcement Learning and Machine Learning. My current research focuses on the intersection of Reinforcement Learning and Imitation Learning, and Human-in-the-Loop robot learning.

I previously did my undergraduate in Computer Science at the University of California, Berkeley, and I was affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab. I had the pleasure to work with Professor Sergey Levine and Professor Costas Spanos.

Recent Publications

• Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
  Robot Learning on the Job: Human-in-the-Loop Manipulation and Learning During Deployment
  Robotics: Science and Systems (RSS), 2023
  [PDF] [Website] [BibTeX]
  

      @misc{liu2022robot,
        title={Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment}, 
        author={Huihan Liu and Soroush Nasiriany and Lance Zhang and Zhiyao Bao and Yuke Zhu},
        year={2022},
        eprint={2211.08416},
        archivePrefix={arXiv},
        primaryClass={cs.RO}
      }
  }
    

• Soroush Nasiriany, Huihan Liu, Yuke Zhu
  Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
  IEEE International Conference on Robotics and Automation (ICRA), 2022
  [PDF] [Website] [BibTeX]
  Outstanding Learning Paper
  

      @misc{nasiriany2021augmenting,
        title={Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks}, 
        author={Soroush Nasiriany and Huihan Liu and Yuke Zhu},
        year={2021},
        eprint={2110.03655},
        archivePrefix={arXiv},
        primaryClass={cs.LG}
  }
    

• Avi Singh*, Huihan Liu*, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
  Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
  International Conference on Learning Representations (ICLR), 2021
  [PDF] [Website] [BibTeX]
  Oral Presentation (top 1.8% of submissions)
  

      @misc{singh2020parrot,
        title={Parrot: Data-Driven Behavioral Priors for Reinforcement Learning}, 
        author={Avi Singh and Huihan Liu and Gaoyue Zhou and Albert Yu and Nicholas Rhinehart and Sergey Levine},
        year={2020},
        eprint={2011.10024},
        archivePrefix={arXiv},
        primaryClass={cs.LG}
  }
    

• Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos
  Consensus Adversarial Domain Adaptation
  AAAI Conference on Artificial Intelligence, 2019
  [PDF] [BibTeX]
  

      @inproceedings{Zou2019ConsensusAD,
          title={Consensus Adversarial Domain Adaptation},
          author={Han Zou and Yuxun Zhou and Jianfei Yang and Huihan Liu and H. Das and C. Spanos},
          booktitle={AAAI},
          year={2019}
          }
      }
    

• Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos
  WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition
  Multimodal Learning and Applications (MULA) Workshop, Conference on Computer Vision and Pattern Recognition (CVPR), 2019
  [PDF] [BibTeX]
  

      @InProceedings{Zou_2019_CVPR_Workshops,
          author = {Zou, Han and Yang, Jianfei and Prasanna Das, Hari and Liu, Huihan and Zhou, Yuxun and Spanos, Costas J.},
          title = {WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition},
          booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
          month = {June},
          year = {2019}
      }
    

• Ioannis Konstantakopoulos, Andrew R.Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas Spanos
  A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
  Applied Energy Journal, Volume 237, 1 March 2019
  [PDF] [BibTeX]
  

      @misc{konstantakopoulos2018deep,
            title={A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University}, 
            author={Ioannis C. Konstantakopoulos and Andrew R. Barkan and Shiying He and Tanya Veeravalli and Huihan Liu and Costas Spanos},
            year={2018},
            eprint={1809.05142},
            archivePrefix={arXiv},
            primaryClass={cs.LG}
      }