Xiaoqian Shen

Xiaoqian Shen

KAUST CS PhD
xiaoqian.shen (at) kaust.edu.sa


About Me

I am currently a PhD student of Computer Science at King Abdullah University of Science and Technology (KAUST) supervised by Mohamed Elhoseiny. Before that, I received BSc in Computer Science from Jilin University, China. I have been fortunate to develop research and industry experience through internships at Meta and Nvidia.

My publications have received 8,389 citations on Google Scholar. I have 6 first-author papers at top-tier venues, including 2× CVPR, 1× ECCV, 1× ICML, 1× NeurIPS (Spotlight), and 1× TMLR.

Research Interests

  • Jun 2026Two papers (VisReflect, HyGAE) get accepted to ECCV’26 🎉
  • Sep 2025One paper (Vgent) gets accepted to NeurIPS’25 (Spotlight) 🎉
  • May 2025One paper (LongVU) gets accepted to ICML’25 🎉
  • Feb 2025One paper (StoryGPT-V) gets accepted to CVPR’25 🎉
  • Jul 2024Two papers (GoldFish, AffectVisDial) get accepted to ECCV’24
  • Mar 2024One paper (HyperCGAN) gets accepted to CVPR’24
  • Jan 2024One paper (MiniGPT-4) gets accepted to ICLR’24
  • Nov 2023Successfully defended my Master thesis
  • Jul 2023One paper (HRS-Bench) gets accepted to ICCV’23
  • Feb 2023One paper (MoStGAN-V) gets accepted to CVPR’23
  • Sep 2022Started my Master journey at KAUST
  • Jul 2022One paper (HGR-Net) gets accepted to ECCV’22
  • Dec 2021Joined Vision-CAIR at KAUST as a visiting research student

Experience

  1. –
    Tsinghua University
    Research Assistant
    Beijing, China
  2. –
    KAUST
    Visiting Research Student
    Jeddah, Saudi Arabia
  3. –
    Meta
    Research Scientist Intern
    Burlingame, US
  4. –
    Nvidia
    Research Intern
    Taiwan
  5. –
    Meta Most recent
    Research Scientist Intern
    London, UK

Selected Publications [Google Scholar]

  1. Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in overview
    TMLR

    Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in

    Xiaoqian Shen, Min-Hung Chen, Yu-Chiang Frank Wang, Mohamed Elhoseiny, Ryo Hachiuma
    TMLR & ICLR 2026 Workshop Work done at NVIDIA
  2. Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding overview
    NeurIPS

    Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding

    Xiaoqian Shen, Wenxuan Zhang, Jun Chen, Mohamed Elhoseiny
    NeurIPS 2025 Spotlight (Top 3%)
  3. LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding overview
    ICML

    LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

    Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
    ICML 2025 Work done at Meta
  4. MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models overview
    ICLR

    MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

    Deyao Zhu*, Jun Chen*, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny
    ICLR 2024 Github 25k+ Stars, 4k+ Cites
  5. MoStGAN-V: Video Generation with Temporal Motion Styles overview
    CVPR

    MoStGAN-V: Video Generation with Temporal Motion Styles

    Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny
    CVPR 2023

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