Courses

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• Undergraduate level in SEU

  Most of the core courses were taken in my sophomore or junior year.

  • Computer Network
  • Computer Architecture in CPU design with VHDL
  • Fundamentals of Database with SQL
  • Fundamentals of Computer Vision with Halcon
  • Audio Signal Processing with Matlab
  • Statistical Signal Processing with Matlab

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• Graduate level in TUM

  Senior year as an exchange student.

  • Seminar in Deep Computer Graphics: Literature Overview of Deep View Synthesis From Sparse Photometric Images
  • Deep Computer Vision Lab: Optimization of DeepSort Tracker
  • VLSI Design: Design of a MP3 player with Vivado and ModelSim

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• Graduate level in Columbia

  21 Fall

  • [ELEN 4720] Machine Learning in Signal, Information and Data
  • [COMS 4995] Neural Network and Deep Learning
  • [EECS 4750] Heterogeneous Computing with PyCUDA and PyOpenCL
  • [EECS 6893] TPC in Big Data Analysis
  • [COMS 4705] Auditor of Natural Language Processing

  22 Spring

  • [ELEN 6889] Large Scale Stream Processing
  • [EECS 6892] Reinforcement Learning in Information System
  • [COMS 6998] Practical Deep Learning System Performance

  22 Fall

  • [COMS 4995] Design with C++, lectured by Prof. Bjarne Stroustrup!
  • [COMS 6998] High Performance Machine Learning