Scholar
Sheng Zhou
Google Scholar ID: Ss76nMwAAAAJ
Zhejiang University
Citations & Impact
Citations
2,237
H-index
25
i10-index
44
Publications
20
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published papers include 'Image-based Table Accessibility' (CHI 2025), 'Focusability in UI Accessibility' (WWW 2025), 'Graph Condensation Survey' (Arxiv 2024), 'Scalable Graph-based Recommendation' (WWW 2024), 'Dynamic Graph Pre-training' (ICDE 2024), 'Deep Clustering Survey' (ACM Computing Surveys), 'Robust Graph-based Recommendation' (WWW 2024), 'Graph Structure Learning Benchmark' (NeurIPS 2023), 'Graph Clustering with GSL' (CIKM 2023), 'Reinforcement Neighborhood Selection' (ICDM 2023), and others.
Research Experience
- Works as an associate professor in Eagle Lab, focusing on multimodal learning, especially visual understanding with MLLM; aims to build a more fair and harmonious society through AI, improving the life experiences of special groups like the elderly and disabled; addresses information access issues faced by blind or low-vision users when using mobile phones or PCs to obtain internet information; researches scalable graph learning, including graph condensation tasks and knowledge distillation for lightweight GNNs; also works on robust graph learning, such as graph structure learning tasks.
Background
- Associate professor at the School of Software Technology, Zhejiang University. Research interests include network data mining, graph machine learning, and AI for accessibility.
Miscellany
- Currently, there are a few post-doctoral positions available in the lab, focusing on multimodal learning, particularly interested in visual understanding with MLLM.
