Yuheng Shi
Papers
2
Total Citations
9
H-Index
2
About
Yuheng Shi is a rising researcher making significant strides at the intersection of medical imaging and artificial intelligence. His primary research areas encompass deep learning for gastrointestinal diagnostics and event-based vision for human action recognition. In his highly cited 2021 work on colorectal lesion detection, Shi leveraged deep learning to enhance the accuracy of endoscopic and pathological imaging, directly addressing the critical need for early diagnosis of colorectal cancer—the second most common malignancy in China. This contribution, garnering 7 citations, highlights his impact on improving patient outcomes and reducing medical costs through AI-assisted screening. More recently, Shi has ventured into the challenging domain of few-shot fine-grained human action recognition, proposing an event-based approach in 2024 that overcomes the limitations of traditional RGB-based methods in complex, open-set environments. This work, already attracting 2 citations, underscores his ability to tackle real-world human-robot interaction challenges. Shi’s research demonstrates a unique blend of clinical relevance and cutting-edge computer vision, positioning him as a promising scholar whose work bridges the gap between medical necessity and technological innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Event-based Few-shot Fine-grained Human Action Recognition2 citations · 2024