I am a Ph.D. candidate in Electrical and Computer Engineering at University of California, Los Angeles (UCLA) advised by Prof. Achuta Kadambi. Previously, I obtained my M.S. in Electrical Engineering from Columbia University in 2021, where I was fortunate to be advised by Prof. John Wright. I received my B.E. in Electronic Information Engineering from University of Electronic Science and Technology of China (UESTC) in 2019.
My research interests include 3D computer vision and generative AI. Currently, I am focusing on 3D/4D scene reconstruction (Gaussian Splatting), generation (diffusion models), understanding (vision foundation models), reasoning (vision language models), and interaction (agentic AI). I am also actively working with Prof. Leonidas Guibas at Stanford University and Prof. Atlas Wang at University of Texas at Austin.
I interned at 
as a Student Researcher in 2024.
🔥 News
- 2025.02: Two papers accepted to CVPR 2025.
- 2025.02: 4K4DGen (4D version of DreamScene360) was selected as a Spotlight at ICLR 2025 (5.1% of 11565 submissions)! 🎉
- 2025.01: One paper accepted to ICLR 2025.
- 2024.10: Awarded J.B. Fourier Scholar in Vision and Graphics from UCLA.
- 2024.09: One paper accepted to NeurIPS 2024.
- 2024.07: One paper accepted to ECCV 2024.
- 2024.04: Feature 3DGS was selected as a Highlight paper at CVPR 2024 (2.8% of 11532 submissions)! 🎉
- 2024.02: One paper accepted to CVPR 2024.
- 2023.02: One paper accepted to CVPR 2023.
- 2021.09: Awarded Graduate Dean’s Scholar Award from UCLA.
- 2020.06: Awarded MS Honors Student from Columbia University.
📝 Selected Publications
* indicates equal contribution
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields
Shijie Zhou*, Hui Ren*, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas Guibas, Achuta Kadambi
- Building 4D interactive scenes with agentic AI from monocular videos, by dynamically distilling model-conditioned features and integrating 2D foundation models with LLMs in feedback loops.
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting
Shijie Zhou*, Zhiwen Fan*, Dejia Xu*, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi
- We introduce a 3D scene generation pipeline that creates immersive scenes with full 360$^{\circ}$ coverage from text prompts of any level of specificity.
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Shijie Zhou, Haoran Chang*, Sicheng Jiang*, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi
Paper | Project (CVPR 2024 Highlight)
- Feature 3DGS 🪄, distills feature fields from 2D foundation models, opening the door to a brand new semantic, editable, and promptable explicit 3D scene representation.
🎖 Honors and Awards
- 2024 J.B. Fourier Scholar in Vision and Graphics, UCLA
- 2021 Graduate Dean’s Scholar Award, UCLA
- 2020 MS Honors Student, Columbia University
- 2019 Outstanding Graduate, University of Electronic Science and Technology of China
- 2018 James Watt Scholar, University of Glasgow
💻 Work Experience
- 2024.06 - 2024.11, Student Researcher at
- 2023.06 - 2023.09, Visiting Academic at USC Institute for Creative Technologies
📖 Teaching
- Teaching Assistant @ UCLA: ECE188 Computer Vision, ECE113 Digital Signal Processing
- Teaching Assistant @ Columbia: EECS6690 Statistical Learning, ELEN6885 Reinforcement Learning
- Teaching Assistant @ UoG & UESTC: 1008 Microelectronic Systems, 3010 Team Design Project and Skills
🖋️ Service
- Conference Reviewer: SIGGRAPH 2025, CVPR 2025, ICCV 2025, ICML 2025, ICLR 2025, 3DV 2025, NeurIPS 2025/2024, ECCV 2024
- Journal Reviewer: IEEE Transactions on Multimedia, Pattern Recognition
- Workshop Reviewer: AI for 3D Generation @ CVPR 2024, AI for 3D Content Creation @ ICCV 2023