News

  • I will give a spotlight talk about our work on learning from YouTube videos at R:SS 2020 Workshop on Emergent Behaviors in Human-Robot Systems! (06/30/2020)
  • Two papers I co-authored got accepted by IJRR and TVLSI respectively! Congrats to my colleagues! (06/15/2020)
  • I will present a robot-assisted hair-brushing demo at NeurIPS 2019, Vancouver, Canada! (10/20/2019)
  • Our paper about learning collaborative cooking plans from YouTube videos was accepted! It will be presented at ISRR 2019, Hanoi, Vietnam! (7/31/2019)

Publications

Journal Papers

  • Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman. Scaling Simulation-to-Real Transfer by Learning a Latent Space of Robot Skills. International Journal of Robotics Research (IJRR).
  • Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen. An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs. IEEE Transactions on Very Large Scale Integration Systems (TVLSI). [arXiv]

Conference Proceedings

  • Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade and Stefanos Nikolaidis. Learning Collaborative Action Plans from Unlabeled YouTube Videos. In International Symposium on Robotics Research (ISRR), 2019. [pdf] [bibtex]
  • Ryan Julian*, Eric Heiden*, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman. Scaling simulation-to-real transfer by learning composable robot skills. In International Symposium on Experimental Robotics (ISER), 2018. [pdf] [bibtex]

Workshop Papers and Abstracts

  • Hejia Zhang, Stefanos Nikolaidis. Robot Learning and Executing Collaborative Manipulation Plans from YouTube Cooking Videos. In R:SS Workshop on Emergent Behaviors in Human-Robot Systems, 2020.
  • Hejia Zhang, Eric Heiden, Stefanos Nikolaidis, Joseph J. Lim, Gaurav S. Sukhatme. Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robotic Manipulation Skills. In Southern California Robotics Symposium (SCR), 2019. [pdf] [bibtex]
  • Zhanpeng He*, Ryan Julian*, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman. Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing. In Conference on Neural Information Processing System 2018 Deep Reinforcement Learning Workshop. [pdf] [bibtex]

Preprints

  • Hejia Zhang and Stefanos Nikolaidis. Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Cooking Videos. In ArXiv. [arXiv]
  • Eric Heiden*, David Millard*, Hejia Zhang and Gaurav S. Sukhatme. Interactive Differentiable Simulation. In ArXiv. [arXiv] [bibtex]
  • Hejia Zhang, Eric Heiden, Stefanos Nikolaidis, Joseph J. Lim and Gaurav S. Sukhatme. Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills. In ArXiv. [pdf] [poster] [arXiv] [bibtex]

Teaching

  • USC Viterbi SHINE - Mentor (Summer 2020)
  • USC Introduction to Artificial Intelligence (CSCI 360) - TA, Guest Lecturer (Spring 2020)
  • USC Robotics (CSCI 545) - Tutor (Fall 2019)

Awards

  • Qualcomm Innovation Fellowship Abstract Selection, 2020
  • NeurIPS Travel Award, 2019
  • Viterbi Best Research Award, USC, 2019
  • Class III Scholarship for Academic Excellence, ZJU, 2015 – 2016
  • Class II Scholarship for Academic Excellence, ZJU, 2013 – 2014

Services

  • Reviewer: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - 2019
  • Reviewer: IEEE International Conference on Robotics and Automation (ICRA) - 2020
  • Reviewer: ACM/IEEE International Conference on Human-Robot Interaction (HRI) - 2020