Tzu-Heng Lin - Experiences

Research & Work Experience

• 2021.10-
  Senior Algorithm Engineer @ Xiaomi Technology
  

  • Autonomous Driving Perception (2022.1-)

  • Xiaomi AI Lab (2021.10-2021.12)

• 2021.1-2021.7 (0.5yr)
  Computer Vision Engineer & TPM @ Kuaishou Technology
  

  • Incubation of a new project.

• 2018.7-2020.12 (2.5yr)
  Founding Team & AI R&D Team Lead @ StylingAI Inc. (styling.ai, shenshangtech 深尚科技)
  

  • Co-founded the company ($6m Angel Round).
    

  • Worked on AI + Fashion.
    

  • Led the AI R&D team.
    

  • Server Maintenance and Operation.

• 2017.10-2021.7 (3.8yr)
  Research Assistant @ Artificial Intelligence Innovation Center, Peking University
  

  • advised by Prof. Yizhou Wang, and Mr. Ming Lei.
    

  • Computer Vision, Image Synthesis and Manipulation (PyTorch, TF).
    

  • Server Maintenance and Operation.

• 2017.2-2018.3 (1.1yr)
  Research Software Engineering Intern @ Owlii Inc. (acquired by Kuaishou Technology)
  

  • Realtime Facial Motion Capture and Transfer (Qt, Matlab), and CUDA acceleration (CUDA C++).
    

  • Owlii is a startup working on 3D reconstruction, see our demo: Tmall AR.

• 2016.7-2016.8 (2mo)
  Research Intern @ Data Insights and Research Lab, Academia Sinica
  

  • advised by Dr. Sheng-Wei Chen.
    

  • Big Data Mining (RLang) with data on Facebook.

• 2016.4-2018.6 (2.2yr)
  Research Assistant @ Data Science & Intelligence Lab, Tsinghua University
  

  • advised by Prof. Yong Li.
    

  • Recommender Systems (TF), User Behavior Analysis,
    

  • Internet Measurement, and Data Mining (PySpark, Hadoop).
    

  • participate in multiple collaboration projects with HUAWEI, and Beibei.

Education

• 2018.9-2021.7
  Peking University
  

  • MSc @ AI Innovation Center
    

• 2014.8-2018.7
  Tsinghua University
  

  • BEng @ Electronic Engineering
    

  • BBA @ School of Economics and Management
    

Other Appointments Held

• 2020.1-2020.6
  Consultant @ deeplearning.ai
  

  • Reviewing content and assignments for the new courses.

• 2015.9-2017.2
  Vice Chair @ THU MakerSpace
  

  • Held tens of activities and make-a-thons.
    

  • Lead Dept. of Project Management, Dept. of Public Relation, and Dept. of Operation.
    

• 2015.6-2017.6
  Web Dev Lead & Vice Minister @ EESAST                                    
  

  • DevOps for websites (PHP Yii, Django, MySQL).

Service

• Conference PC Member/Reviewer:

  • NeurIPS (2022)

  • ECCV (2020,2022)

  • IJCAI (2021,2022)

  • CVPR (2021,2022)

  • ICLR (2022)

  • ICCV (2021)

  • ICWSM (2020,2021)

• Journal Reviewer:

  • TCSVT (2019,2020)

  • IMWUT (2017,2018,2019)

  • TNSM (2017)

MOOCs or Lectures/Shares

• Deep Reinforcement Learning 2018 by Hung-yi Lee, Research Trend 2020.7 (materials)

• cs231n, Stanford (2017 spring version) by Fei-Fei Li. (materials)

• Machine Learning Foundations 1, 2 (discontinued)

• Deep Learning Specialization (5 courses), Coursera by Andrew Ng. (materials)

• Machine Learning, Coursera by Andrew Ng. (materials)