CV

Education

• B.E. in Mechanical Engineering and Automation, Nanjing University of Science and Technology (NJUST), China, Sept. 2010 - June 2014
  • GPA: 3.62; Ranking: 17/221 (8%)
• Ph.D. in Computer Science/Mechanical Engineering, Nanjing University of Science and Technology (NJUST), China, Sept. 2014 - 2020 (expected)
  • Research Directions: Computer vision, Deep learning, Visual SLAM, Visual place recognition, Robotics.

Experience

• June 2017 - June 2018: Visiting student at University of Wolllongong (UOW), NSW, Australia
  • Research Directions: Computer vision, Deep nueral networks, Convolutional Neural Networks (CNN), Image retrieval, Representation learning
  • Supervisor: Professor Lei Wang

Skills

• Language
  • Chinese (native)
  • English (CET-6, IELTS 6.0)
• Programming
  • Python
  • PyTorch
  • Matlab
  • C++
• Others
  • Linux (Ubuntu)-based programming
  • Latex, Microsoft Office, etc.

Publications

Loop closure detection for visual SLAM systems using convolutional neural network

X. Zhang, Y. Su and X. Zhu, "Loop closure detection for visual SLAM systems using convolutional neural network," 2017 23rd International Conference on Automation and Computing (ICAC), Huddersfield, 2017, pp. 1-6.

Graph-Based Place Recognition in Image Sequences with CNN Features

Zhang, X., Wang, L., Zhao, Y. et al. Graph-Based Place Recognition in Image Sequences with CNN Features. Journal of Intelligent & Robotic Systems 95, 389–403 (2019).

Visual Place Recognition: A Survey from Deep Learning Perspective

Xiwu Zhang, Lei Wang and Yan Su. Visual Place Recognition: A Survey from Deep Learning Perspective. Pattern Recognition. November 2020. https://doi.org/10.1016/j.patcog.2020.107760

Service and leadership

• Reviewer for IEEE Communications Letters, ACMMM 2018