Ying Wang

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I am an incoming PhD student at NYU Center for Data Science advised by Prof. Andrew Wilson and Prof. Mengye Ren. I received my MSDS at NYU as well. Prior to moving to New York, I studied Computer Science, Statistics, and Finance at McGill University in Montreal, Canada.

My primary research interest is multimodal learning. Specifically, I aim to build systems that can emulate human-like perception by seamlessly integrating various modalities such as text, images, videos and audio.

News

Oct 20, 2023 Received Travel Award for NeurIPS 2023! See you in New Orleans :us: :)
Sep 21, 2023 Our work, Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution, is accepted by NeurIPS 2023.

Selected Publications

2023

  1. lifelongmemory_thumbnail.png
    LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
    Ying Wang, Yanlai Yang, and Mengye Ren
    Under Review, 2023
    PDF Code Website
  2. m2ib_thumbnail.png
    Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
    Ying Wang, Tim G. J. Rudner, and Andrew Gordon Wilson
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    PDF Code
  3. xmdetr_thumbnail.png
    Adapting Grounded Visual Question Answering Models to Low Resource Languages
    Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, and Aishwarya Kamath
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2023
    PDF Code