Yunxiang Zhang

Welcome! I am a Computer Science Ph.D. student at NYU, advised by Prof. Qi Sun in the Immersive Computing Lab. My research revolves around virtual/augmented/mixed reality, human-computer interaction, and generative AI, with a focus on multimodal interface design and AI-assisted content creation for immersive applications. More broadly, I enjoy combining insights from physical, perceptual, and cognitive sciences with machine learning tools to solve challenging real-world problems.

Prior to NYU, I obtained my MPhil in the Multimedia Laboratory at CUHK under the supervision of Prof. Dahua Lin. Before that, I did my undergraduate studies at SJTU and École Polytechnique.

During my graduate studies, I have had the fortune to work with and learn from great minds at Intel Graphics Research and Vector Institute through internships.

Outside of work, I love hiking, traveling, and photography!

Email  /  CV  /  Google Scholar  /  Twitter  /  GitHub

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Updates
  • May 2023: I started an internship at Intel Graphics Research, mentored by Dr. Alexandr Kuznetsov and Dr. Akshay Jindal.

  • Apr 2023: Our work on optimized VR/AR ergonomics was accepted to SIGGRAPH 2023, see you in LA!

    • Publications
    fast-texture Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction
    Yunxiang Zhang, Kenneth Chen, Qi Sun
    SIGGRAPH 2023 Conference Proceedings
    Paper / Project Page / Video / Code
    fast-texture Force-Aware Interface via Electromyography for Natural VR/AR Interaction
    Yunxiang Zhang, Benjamin Liang, Boyuan Chen, Paul M. Torrens, S. Farokh Atashzar, Dahua Lin, Qi Sun
    ACM Transactions on Graphics (SIGGRAPH Asia 2022)
    Paper / Project Page / Video / Code
    fast-texture CaPC Learning: Confidential and Private Collaborative Learning
    Christopher A. Choquette-Choo*, Natalie Dullerud*, Adam Dziedzic*, Yunxiang Zhang*, Somesh Jha, Nicolas Papernot, Xiao Wang
    International Conference on Learning Representations (ICLR 2021)
    Paper / Project Page / Video / Code
    fast-texture Exploiting Channel Similarity for Network Pruning
    Chenglong Zhao, Yunxiang Zhang, Bingbing Ni
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2023)
    Paper
    fast-texture Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks
    Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jesus Angulo
    International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (ISMM 2019)
    Paper / Code

    Research Experience
    Research Intern at Intel Graphics Research May 2023 - Aug 2023

    Research Intern at Vector Institute Mar 2020 - Jun 2020

    Research Intern at Télécom Paris Apr 2018 - Aug 2018

    Academic Services
    Conference Reviewer: SIGGRAPH, SIGGRAPH Asia, AAAI, IEEE VR, IEEE ISMAR



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