Jesse Zhang

jessez at usc dot edu

Hi! I am an incoming postdoc at UW, advised by Dieter Fox and Abhishek Gupta. I am focused on enabling robots to learn new tasks, autonomously, in the real world.
I completed my PhD at USC, advised by Jesse Thomason and Erdem Biyik at USC, and Joseph J. Lim at KAIST. I completed my undergrad at UC Berkeley, where I worked with Sergey Levine and Dinesh Jayaraman.

I have interned at NVIDIA in the Seattle Robotics Lab, AWS Lablets in Rasool Fakoor's team, NAVER AI Labs and Horizon Robotics.

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News
  • 05/25 I am excited to announce that I will be starting a postdoc with Dieter Fox and Abhishek Gupta at UW!
  • 03/25 Presented HAMSTER at OpenAI's Robotics Reading Group w/ Yi Li and Yuquan Deng!
  • 02/25 Gave a talk as part of the Google Deepmind Tech Talk Series!
  • 01/25 Gave a talk at at the RLLAB at Yonsei University!
  • 12/24 Gave a talk at at the NTU Robot Learning Lab!
  • 02/24 Gave a talk at the PAL lab at UPenn
  • 02/24 Selected as Finalist for the Qualcomm Innovation Fellowship
    • Research (Highlighted / All)
    (* indicates equal contribution, † indicates equal advising)
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    Service
  • Serving as a PhD mentor for the Google x USC AI Community Project, focused on assisting undergraduates from underrepresented backgrounds in teaching AI to students from local Los Angeles middle and high schools.

  • Serving/Served as a reviewer for RA-L, CHI 2024, ICML 2024, ICLR 2024, NeurIPS 2023, ICML 2023, ICLR 2023, CoRL 2022, ICML 2022, ICLR 2022 (highlighted reviewer award, top 8%), NeurIPS 2021 (outstanding reviewer award, top 8%), CoRL 2021, ICLR 2021, ICLR SSL-RL Workshop 2021, IEEE ITSC 2019
    • Teaching
    TA at University of Southern California
  • 08/2024: CSCI 566: Deep Learning (Master's Level)
  • 01/2023: CSCI 566: Deep Learning (Master's Level)
  • 01/2022: CSCI 360: Intro to AI (Undergrad Level)
  • 08/2020: CSCI 566: Deep Learning (Master's Level)

    • UC Berkeley
  • 08/2019: TA CS188: Intro to AI (rating: 4.75/5.00, 0.42 above dept avg)
  • 01/2019: Course Reader CS170: Efficient Algs and Intractable Problems
    • Others

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