Zhihao Guo

Zhihao Guo

PhD Researcher in Artificial Intelligence at Manchester Metropolitan University
a916940283@gmail.com Google Scholar LinkedIn GitHub Manchester, UK
"天若有情天亦老，人间正道是沧桑"

🤝 Let's Collaborate!

I am very happy to discuss research about 3DGS for World Models and explore exciting opportunities together.

Feel free to contact me for collaboration!

WeChat: a916940283
🎓 Education

Education

Manchester Metropolitan University Oct 2023 – Present
PhD in Artificial Intelligence | Manchester, UK
  • Research areas: 3D reconstruction, Neural radiance fields, 3D Gaussian splatting
Xi'an University of Posts and Telecommunications Sep 2018 – Jun 2021
Master of Engineering in Control Engineering | Xi'an, China
  • GPA: 3.26/4.0
  • Focus: Computer vision, Object Detection
Xi'an University of Posts and Telecommunications Sep 2014 – Jun 2018
Bachelor of Engineering in Intelligent Science and Technology | Xi'an, China
  • GPA: 3.01/4.0
💼 Professional Experience

Professional Experience

ShunWang Technology Jun 2021 – Apr 2023
Computer Vision Algorithm Engineer | Hangzhou, China
  • Developed real-time human motion capture algorithms for monocular image input with Unity integration.
  • Implemented inverse kinematics-based digital human driving system supporting half-body and whole-body capture.
  • Developed facial expression animation algorithms using keypoint detection and blendshapes.
SUMNet (Intern) Nov 2019 – Mar 2021
Computer Vision Algorithm Engineer | Xi'an, China
  • Designed and implemented computer vision algorithms for real-world applications.
  • Developed face mask recognition algorithm during COVID-19 pandemic.
📚 Publications

Selected Publications

Guo, Z., et al. "UGOD: Uncertainty-Guided Differentiable Opacity and Soft Dropout for Enhanced Sparse-View 3DGS." arXiv preprint arXiv:2508.04968 (2025).

Guo, Z., Su, J., Wang, S., Fan, J., Zhang, J., Han, L., and Wang, P. "GP-GS: Gaussian Processes for Enhanced Gaussian Splatting." arXiv preprint arXiv:2502.02283 (2025).

Guo, Z., and Wang, P. "Depth Priors in Removal Neural Radiance Fields." Accepted to Annual Conference Towards Autonomous Robotic Systems (TAROS), pp. 367-382. Springer, 2024.

Wang, P., Guo, Z., et al. "A Spatial Relationship Aware Dataset for Robotics." Accepted to ACM MM 2025.

Chen, Z., Guo, Z., et al. "Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies." arXiv preprint arXiv:2509.13574 (2025). Accepted to ICRA 2026.

Wang, P., Guo, Z., Sait, A. L., and Pham, M. H. "Robot Shape and Location Retention in Video Generation Using Diffusion Models." IEEE/RSJ IROS, pp. 7375-7382, 2024.

Wang, P., Robbiani, M., and Guo, Z. "LLM Granularity for On-the-Fly Robot Control." Learning for Assistive Robotics Workshop, RSS, 2024.

🎯 Service & Teaching

Academic Service & Teaching

Academic Service
  • Conference Reviewer: IROS 2025, AAAI 2026, ICRA 2026, ICME 2026, IEEE Access.
  • Student Organiser: IROS 2025 Workshop on Robotic Data Generation and Evaluation (RoDGE).
Teaching Experience
  • Teaching Assistant, Artificial Intelligence Principles (6G7V0011), Manchester Metropolitan University (Academic Years 2024/25 & 2025/26).
徐佳莹

My Favorite Singer

徐佳瑩

A talented singer-songwriter whose music brings me inspiration and joy.

Her melodies and lyrics resonate deeply with my soul.