Yongqin Zhang

Northwest University, Tianjin Special Equipment Supervision and Inspection Technology Research Institute

Papers

Total Citations

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About

Yongqin Zhang is a researcher whose work bridges computer vision and surgical robotics, with a focus on 3D registration and sensor-driven instrumentation. His most cited paper, "Weighted motion averaging for the registration of multi-view range scans" (2017, 19 citations), introduces a robust method for aligning multiple 3D scans by weighting the contributions of pairwise registrations, significantly improving accuracy in complex scenes. This contribution has been influential in fields like cultural heritage preservation and autonomous navigation, where precise point cloud alignment is critical. In a parallel line of work, Zhang addresses the challenge of haptic feedback in minimally invasive surgery. His 2019 paper, "Microinstrument contact force sensing based on cable tension using BLSTM–MLP network" (10 citations), presents a deep learning approach to estimate contact forces at the tip of a surgical microinstrument from cable tension data, enabling safer tissue manipulation without bulky sensors. By combining classical geometric algorithms with modern neural networks, Zhang demonstrates a versatile ability to solve real-world sensing and registration problems, making his research valuable for both computer vision practitioners and biomedical engineers.