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

Jun 13, 2024 Our team has won the third place in the Ego4D EgoSchema challenge.
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.
Jun 9, 2023 Our team has won the third place in the Ego4D NLQ challenge.

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