Spatially Grounded Multimodal VLMs
Developing perception-enhanced vision-language models that generate spatial tokens for complex 2D and 3D spatial understanding.

I build models that see the world in 3D — and make it move.
I am a final-year PhD student in the Metaverse Lab at MBZUAI, supervised by Hao Li, working on spatially grounded multimodal intelligence. My research builds vision-language and generative models that understand and create 2D, 3D, video, and 4D content. My representative works include Perceptio, UCanDance, PointNeXt, and 3D-CoMPaT.
Citation counts as of 2026-10-24
Work Hard, Play Hard, El Psy Congroo!

PhD in Computer Vision
Mohamed bin Zayed University of Artificial Intelligence , 2023 - 2027

M.Sc. in Computer Science
King Abdullah University of Science and Technology , 2020 - 2022

B.Sc. in Computer Science and Technology
Southern University of Science and Technology , 2017 - 2021

Exchange Student, School of Computing
National University of Singapore , 2020
Developing perception-enhanced vision-language models that generate spatial tokens for complex 2D and 3D spatial understanding.
Studying controllable video synthesis through long-horizon pose diffusion conditioned on music and motion structure.
Building scalable point-cloud networks and training strategies for robust 3D object understanding and recognition.
Creating compositional 3D datasets and assets that support material, part, and object-level content generation and recognition.
Last updated: October 2026
Selected publications and preprints. * denotes equal contribution. Full list on Google Scholar.
A perception-enhanced VLM using spatial token generation for 2D and 3D spatial reasoning.
Long-horizon pose diffusion for music-driven dance video synthesis.
PointNeXt revisits PointNet++ with improved training and scaling strategies for point-cloud understanding.
A large-scale 3D dataset for compositional material and part recognition.
An improved large-scale 3D vision dataset for compositional recognition.
Semi-supervised few-shot learning with prototypical random walks.










You might know me from Xiaohongshu as the Dubai Prince (迪拜王子). Off the clock I do stand-up, once spent 72 hours with only AI for company, and am slowly buying coffee for a hundred strangers.
Xiaohongshu · DubaiPrince
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followers on Xiaohongshu as “the Dubai Prince”
422 notes on studying, working and living in the Gulf.
Follow along ↗
100 strangers, 100 coffees
56 / 100
coffees with strangers so far — and counting
A slow project: one stranger, one coffee, one story at a time.
The Hefei stop ↗
Sep 2026 · Heidelberg
Heidelberg Laureate Forum: a week with 200 young researchers and 20+ laureates
Heidelberg Laureate Forum · Carl-Zeiss-Stiftung Abbe Grant
Read the post →Abu Dhabi · UTC+4
In town? Let's get coffee.
Research chats, collaborations, or just a hello.
Email me →88 items from 31 outlets and platforms (Chinese + English), 2016–2026, each tied to me with quoted evidence.
Featured in 36Kr's documentary coverage of a 72-hour AI survival challenge, discussing AI agents, AI video creation and human–AI interaction.
Invited by Next Capital to share perspectives on the Middle East 2030 vision and opportunities for Chinese founders in the region.
Guest on the DeepMENA podcast, covering KAUST, MBZUAI, Dubai Business Associates, Middle East universities and life across the region.