Lirong Yin
Papers
10
Total Citations
1,193
H-Index
10
About
Lirong Yin is a leading researcher at the intersection of medical robotics, computer vision, and intelligent control systems. Her work focuses on advancing surgical robotics through innovations in soft tissue modeling, haptic feedback, and autonomous control. Yin’s most impactful contribution is her 2023 paper on “Multiscale Feature Extraction and Fusion of Image and Text in VQA,” which has garnered 414 citations and addresses the critical challenge of enabling robots to understand visual and textual information simultaneously for applications in visual assistance and automated surveillance. She has also made significant strides in teleoperation systems, with her 2022 paper on adaptive control of time-delay teleoperation systems (141 citations) and her work on force feedback bilateral teleoperation (83 citations) improving the stability and precision of remote surgical procedures. Yin’s research on soft tissue feature tracking using deep matching networks (97 citations) and motion prediction for beating heart surgery using GRU networks (48 citations) directly enhances the safety and accuracy of robot-assisted surgery. Her development of a six degrees of freedom parallel platform (62 citations) further demonstrates her commitment to creating robust, high-precision robotic systems. With over 1,200 total citations across her top ten papers, Yin is a driving force in making medical robots more intelligent, responsive, and clinically viable.
Research Focus
Key Achievements
Top Papers
- 1Multiscale Feature Extraction and Fusion of Image and Text in VQA414 citations · 2023
- 2An improved method for soft tissue modeling151 citations · 2020
- 3Adaptive control of time delay teleoperation system with uncertain dynamics141 citations · 2022
- 4Soft Tissue Feature Tracking Based on Deep Matching Network97 citations · 2023
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- 8A Novel Architecture of a Six Degrees of Freedom Parallel Platform62 citations · 2023
- 9Motion prediction for beating heart surgery with GRU48 citations · 2023
- 10A Feature Matching Method based on the Convolutional Neural Network46 citations · 2023