Shu Zhong

shu.zhong.21@ucl.ac.uk

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I am a PhD candidate at the University College London’s Computer Science and Interaction Centre (UCLIC), supervised by Marianna Obrist, Elia Gatti and Youngjun Cho. Also, I serve as an Athena Swan (gender equality) PhD Student Rep at CS UCL.

My research interest lies in Human-Centred AI and AI for social good. I code 👩🏻‍💻, conduct studies on Human-AI interaction and love taking new projects! One of my PhD focuses is to bring human-awareness to machine-awareness within the UKRI Textile Circularity project 🧶.

news

Jul 17, 2024 Feeling Textiles through AI: An exploration into Multimodal Language Models and Human Perception Alignment will apear at ICMI 2024
Jun 03, 2024 Internship as an AI Research Engineer at Autodesk
May 21, 2024 UCL Computer Science awarded Athena Swan Gold
Dec 12, 2023 Milipoint at NeurIPS 2023
Apr 25, 2023 MindTouch at CHI 2023

selected publications

  1. Exploring Human-AI Perception Alignment in Sensory Experiences: Do LLMs Understand Textile Hand?
    Shu Zhong, Elia Gatti, Youngjun Cho, and 1 more author
    arXiv preprint arXiv:2406.06587, 2024
  2. Milipoint: A point cloud dataset for mmwave radar
    Han Cui, Shu Zhong, Jiacheng Wu, and 3 more authors
    Advances in Neural Information Processing Systems, 2024
  3. LLM-Mediated Domain-Specific Voice Agents: The Case of TextileBot
    Shu Zhong, Elia Gatti, James Hardwick, and 3 more authors
    arXiv preprint arXiv:2406.10590, 2024
  4. MindTouch: Effect of Mindfulness Meditation on Mid-Air Tactile Perception
    Madhan Kumar Vasudevan, Shu Zhong, Jan Kučera, and 2 more authors
    In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems , 2023
  5. TextileNet: a material taxonomy-based fashion textile dataset
    Shu Zhong, Miriam Ribul, Youngjun Cho, and 1 more author
    arXiv preprint arXiv:2301.06160, 2023
  6. The Role of Temperature in the Study of Mindful Touch Perception
    Shu Zhong, MADHAN KUMAR VASUDEVAN, and MARIANNA OBRIST
    STT workshop at ACM CHI Conference on Human Factors in Computing Systems 2023, 2023
  7. DeepWear: Towards an Automated Textiles Materials Classification using a Taxonomy-based ML Approach
    Shu Zhong, Miriam Ribul, Youngjun Cho, and 1 more author
    Women in Machine Learning workshop at NeurIPS 2022, 2022