Ying Wang

headshot.jpg

I am a PhD student in the CILVR Lab at NYU Center for Data Science, working on world models with Prof. Mengye Ren and Prof. Yann LeCun.

Prior to starting my PhD, I earned an MS in Data Science at NYU as well and a BS in Computer Science, Statistics, and Finance at McGill University.

yw3076 [at] nyu [dot] edu | Google Scholar | X(Twitter) | LinkedIn

News

Sep 1, 2024 I started my PhD at NYU šŸ’œšŸ’œšŸ’œ
Jun 13, 2024 Our team has won the third place in the Ego4D EgoSchema challenge.
Jun 3, 2024 Started my summer internship as a research scientist at Meta (Video recommendation), Bellevue.
Oct 20, 2023 Received Travel Award for NeurIPS 2023! See you in New Orleans āšœļø
Sep 21, 2023 Our work, Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution, is accepted by NeurIPS 2023.

Selected Publications

2025

  1. icc_thumbnail.png
    In-Context Clustering with Large Language Models
    Ying Wang,Ā Mengye Ren,Ā andĀ Andrew Gordon Wilson
    Preprint, 2025
    PDF Code Website

2023

  1. lifelongmemory_thumbnail.png
    LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
    Ying Wang,Ā Yanlai Yang,Ā andĀ Mengye Ren
    3rd Place Award in Ego4d NLQ Challenge at CVPR 2023 & 3rd Place Award in Ego4d EgoSchema Challenge at CVPR 2024, 2023
    PDF Code Website
  2. m2ib_thumbnail.png
    Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
    Ying Wang,Ā Tim G. J. Rudner,Ā andĀ Andrew Gordon Wilson
    In 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,Ā Jonas Pfeiffer,Ā Nicolas Carion,Ā Yann LeCun,Ā andĀ Aishwarya Kamath
    In CVPR Multimodal Learning and Applications Workshop [Oral], Jun 2023
    PDF Code