Education Experience

University of Edinburgh 2018/9 - Present
M.Sc. in Artificial Intelligence

Beijing University of Posts and Telecommunications 2014/9 - 2018/6
B.Eng. in Telecommunications Engineering with Management ( Joint Program with Queen Mary University of London)

Overall Score Average: 86.13,   Major Score Average: 87.83
Awards: Outstanding Student Award of Beijing, QMUL First-Class Honours

Core Courses

Courses enrolled in University of Edinburgh:

• Reinforcement Learning

  Markov decision process; dynamic programming; Monte Carlo methods; temporal-difference learning; planning and learning; value function approximation; eligibility traces; policy gradient methods; deep reinforcement learning; multi-agent learning.

• Advanced Vision

  Recognition of 2D rigid and non-rigid objects; range data based 3D part recognition; stereo data based 3D part recognition; object detection and tracking in video; persistent tracking and behavior recognition in video.

• Parallel Programming Languages and Systems

  Introduction to parallel architectures and paradigms; generic issues in shared variable programming and message passing programming; introduction to real programming systems (Pthreads, Java threads, Threading Building Blocks, MPI, Linda).

• Computational Cognitive Neuroscience (Grade: A)

  Models of biological neurons and neuron networks; models of attractors and working memory; models of decision making; reinforcement learning models in computational psychiatry; bayesian modeling.

• Robotics: Science and Systems (Grade: A)

  System identification; state estimation; localization and mapping; motion planning; kinematics and dynamics of robots; control theories.

• Machine Learning and Pattern Recognition (Grade: B)

  Classification, generative and discriminative models; multivariate Gaussians; Bayesian machine learning: linear regression, Gaussian processes and kernels; approximate inference; Gaussian mixture models.

• Machine Learning Practical (Grade: A)

  Deep neural networks; convolutional networks; RNNs; GANs; transfer Learning; network compression, pruning and knowledge distillation; recent deep netroks in object detection, segmentation, image captioning, and video classification.

Courses enrolled in Beijing University of Posts and Telecommunications:

• Mathematics

  • Advanced Mathematics (I), 94/100

    Differential calculus, integral calculus and infinite series.

  • Advanced Mathematics (II), 98/100

    Differential equations, lines and planes in space, multiple integral, surface integral.

  • Methods of Solving Advanced Mathematics Problems (I), 100/100
  • Linear Algebra, 93/100

  • Probability Theory and Stochastic Processes, 82/100
  • Engineering Mathematics, 90/100

    Complex functions, mathematical methods for Physics

  • University Physics (I), 91/100

  • University Physics (II), 95/100

• Computer Science

  • C Programming Fundamentals

  • Intro Java Programming

  • Data Structures and Its Applications

  • Internet Protocols

  • Internet Applications

    DNS, DHCP, HTTP, FTP, remote interactive computing, etc.

  • Web Programming

  • Web Search

    Search Engine, information retrieval

  • Data Mining

  • Software Engineering

  • Interactive Media Design and Production

    Human-computer interaction

  • 3D Graphics Programming Tools

    OpenGL, object modelling, geometric transforms, hierarchical modelling and 3D rendering pipeline, etc.

  • Image and Video Processing

• Electronic Engineering

  • Electronic and Circuit Fundamentals

  • Telecoms and Signals Fundamentals

  • Introduction to Electronic System

  • Electromagnetic Fields and Waves

  • Digital Circuit and Logic Design

  • Digital Signal Processing

  • Digital Broadcasting

  • Principles of Communications

  • Telecoms Systems

  • Multimedia Systems

  • Wireless Networks