Scholar
Ziyu Shan
Google Scholar ID: McMyJ_0AAAAJ
Nanyang Technological University
Embodied AI
Point Cloud Quality Assessment
Low-level Vision
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Homepage
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Citations & Impact
All-time
Citations
129
H-index
4
i10-index
3
Publications
9
Co-authors
0
Contact
Email
shan0148@e.ntu.edu.sg
GitHub
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Publications
3 items
RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation
2026
Cited
0
Point Cloud Compression and Objective Quality Assessment: A Survey
2025
Cited
0
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
2025
Cited
0
Resume (English only)
Academic Achievements
- Publications:
- Point Cloud Compression and Objective Quality Assessment: A Survey
- Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
- Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
- PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment
- MFT-PCQA: Multi-Modal Fusion Transformer for No-Reference Point Cloud Quality Assessment
- GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network
- Awards:
- 2024 China National Scholarship
- Second Prize of the IEEE ICIP Point Cloud Visual Quality Assessment Grand Challenge (full-reference track) in 2023
- SJTU Scholarship A Prize (Graduates) in 2023
- Outstanding Graduate of Shanghai Jiaotong University in 2022
- SJTU Scholarship B Prize (Undergraduates) in 2022
- Ceyear China Scholarship in 2021
Research Experience
- PhD student at PINE Lab, focusing on embodied AI, world model, etc.
- Summer research at CityU in 2024, advised by Prof. Shiqi Wang
Education
- PhD Student at Nanyang Technological University, advised by Prof. Ziwei Wang, working closely with Prof. Yiling Xu and Rui Ye
- Bachelor and Master from Shanghai Jiao Tong University, ranking top 20%
Background
- Research Interests: Embodied AI, world model, media perceptual quality assessment (e.g., 3D point cloud, image), and low-level vision
- Professional Field: World model and mobile manipulation
Miscellany
- Actively seeking opportunities for Research Internship
Co-authors
0 total
Co-authors: 0 (list not available)
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