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conference

Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution

Published in IEEE International Conference on Robotics and Automation (ICRA), 2020

Recommended citation: Ruoxi Wang, Dandan Zhang, Qingbiao Li, Benny Lo. “Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution,” IEEE International Conference on Robotics and Automation (CCF-C, ERA-A, Qualis-A1), 2021. arXiv preprint arXiv:1912.06095. https://arxiv.org/pdf/2011.04003.pdf

Evaluating the Sim-to-Real Gap of Graph Neural Network Policies for Multi-Robot Coordination

Published in IEEE International Conference on Robotics and Automation (ICRA), 2021

Recommended citation: Jan Blumenkamp, Qingbiao Li, Amanda Prorok. “Evaluating the Sim-to-Real Gap of Graph Neural Network Policies for Multi-Robot Coordination,” IEEE International Conference on Robotics and Automation (CCF-B, Qualis-A1), Real World Swarms Workshop, 2021. arXiv preprint arXiv:1912.06095. https://drive.google.com/file/d/1yEKb-kKZotBvNm82bhuVWi56K8p927dR/view

A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies

Published in IEEE International Conference on Robotics and Automation (ICRA), 2022

Recommended citation: Jan Blumenkamp, Steven Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok. “A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies,” IEEE International Conference on Robotics and Automation (CCF-B, Qualis-A1), Under Review, 2021

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

Published in International Conference on Learning Representations (ICLR), 2022

Recommended citation: Hudson Benjamin, Qingbiao Li, Matthew Malencia, and Amanda Prorok. “Graph Neural Network Guided Local Search for the Traveling Salesperson Problem,” International Conference on Learning Representations (CCF-A, Qualis-A1), 2022

journal

Estimation of Tissue Oxygen Saturation from RGB Images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network

Published in International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2019

Recommended citation: Qingbiao Li, Jianyu Lin, Neil T Clancy, Daniel S Elson. “Estimation of Tissue Oxygen Saturation from RGB Images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network,” International Journal of Computer Assisted Radiology and Surgery (JCR Q3, IF 2.924). pp. 987–995. Springer, 2019. https://link.springer.com/content/pdf/10.1007%2Fs11548-019-01940-2.pdf

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Senior Technical Officer

Department of Technology, R&D Centre, BBT Student Innovation Centre, South China University of Technology, 2012

He was in a team of IT fans called to develop website, Android & IOS application for Shuttle bus location and second hand online market.

skills

Skills

Published:

  • Programming:
    • Python, PyTorch, PyTorch Geometric, Deep Graph Library (DGI), Numpy, Pandas, Jax, Jraph, MATLAB, C++
  • Simulator:
    • Unity ML-Agent, Pybullet, Mujoco, Gazebo and AWS Robomaker
  • Framework:
    • RLlib
  • Robotics field:
    • ROS2, ROS
  • CAD Software:
    • SolidWorks, Creo, SolidEdge, AutoCAD
  • FEA and CFD software:
    • ABAQUES, ANSYS, Star-CCM+
  • Laboratory skills:
    • Hand-sketching, Welding, Drilling, 3D printing (Ulterimaker), Laser cutting, CNC manipulation, SolidCAM and Manufacturing

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teaching