Jiuxiang Gu

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Senior Research Scientist

Adobe Research

Seattle, WA

My name is Jiuxiang Gu (顾久祥). I am a Senior Research Scientist at Adobe Research in Seattle. I received my Ph.D. from Nanyang Technological University, Singapore (2016.1–2019.5), under the supervision of Prof. Jianfei Cai, Dr. Gang Wang, and Prof. Tsuhan Chen. I currently serve as an Area Chair for ICLR 2025 and WACV 2024/2025, a Senior Program Committee Member for IJCAI 2021–2024, and a Program Committee Member for AAAI 2021–2023, NAACL 2021, and others. My research journey began in hardware design. From 2010 to 2015, I worked as an ASIC design engineer. In 2015, I made the transition to Artificial Intelligence. My current research interests include:

  • Machine Learning Theory
  • Vision-Language and Multimodal Pretraining
  • Efficient Modeling
  • Multimodal Understanding and Reasoning
  • Self-Supervised Learning

I am actively seeking interns and collaborators for projects in Computer Vision, Natural Language Processing, and Multimodal Learning.

📧 Feel free to reach out: jigu@adobe.com / gu.jiuxiang@gmail.com

News

Jan 22, 2025 Two papers get accepted to ICLR 2025.
Jan 22, 2025 One paper gets accepted to NAACL 2025.
Dec 09, 2024 Two papers get accepted to AAAI 2025.
Oct 28, 2024 Two papers get accepted to WACV 2025.
Sep 20, 2024 Two papers get accepted to EMNLP 2024.

Selected Publications

  1. Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
    Jiuxiang Gu, Jianfei Cai, Gang Wang, and 1 more author
    In AAAI, 2018
    Oral
  2. Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
    Jiuxiang Gu, Jianfei Cai, Shafiq Joty, and 2 more authors
    In CVPR, 2018
    Spotlight
  3. Recent advances in convolutional neural networks
    Jiuxiang Gu, Zhenhua Wang, Jason Kuen, and 8 more authors
    Pattern Recognition, 2018
  4. Scene graph generation with external knowledge and image reconstruction
    Jiuxiang Gu, Handong Zhao, Zhe Lin, and 3 more authors
    In CVPR, 2019
  5. Towards language-free training for text-to-image generation
    Yufan Zhou, Ruiyi Zhang, Changyou Chen, and 6 more authors
    In CVPR, 2022
  6. Lrm: Large reconstruction model for single image to 3d
    Yicong Hong, Kai Zhang, Jiuxiang Gu, and 7 more authors
    In , 2024
    Oral