Hsiang-Chun Wang

Hsiang-Chun Wang

Master Student

National Taiwan University.

About Me

Hello! I am a Master's student at the Graduate Institute of Communication Engineering at the National Taiwan University, where I am fortunate to be advised by Prof. Shao-Hua Sun. My works have been focused on deep learning and its applications to computer vision and robotics, especially on enhancing reinforcement learning (RL) algorithms by drawing insights from breakthroughs in diffusion models.

I majored in Information Engineering at Shanghai Jiao Tong University (SJTU) and graduated in 2022. At SJTU, I joined the SJTU Robomaster Team and was responsible for robotics vision. I was a research intern in spatiotemporal data mining, advised by Prof. Jiaxin Ding, and then worked on research projects in video analysis. In my free time, I enjoy watching movies, connecting with friends, building Lego sets, and exploring the outdoors.

Interests

  • Deep Learning
  • Computer Vision
  • Generative Models
  • Robotics
  • Reinforcement Learning
  • LLM

Education

  • Masters in Communications Engineering, 2024 (expected)

    National Taiwan University

  • B.Eng in Information Engineering, 2022

    Shanghai Jiao Tong University

Publications

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Diffusion Model-Augmented Behavioral Cloning

This work aims to augment BC by employing diffusion models for modeling expert behaviors, and designing a learning objective that …
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Diffusion Rewards Guided Adversarial Imitation Learning

Inspired by the recent dominance of diffusion models in generative modeling, this work proposes diffusion rewards guided …
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See all publications

Experience

 
 
 
 
 

Master Research

RLLab in NTU

Apr 2022 – Now Taipei, Taiwan

Responsibilities include:

  • Worked on combing diffusion model and reinforcement learning
 
 
 
 
 

Undergraduate Thesis

Department of EE at SJTU

Nov 2021 – Jun 2022 Shanghai, China

Responsibilities include:

  • Research ideas for identifying actions in tennis matches.
  • Develop software to extract essential moments from game footage.
 
 
 
 
 

Undergraduate Research Intern

Lab of Prof. Jiaxin Ding

Jun 2020 – Sep 2020 Shanghai, China

Responsibilities include:

  • Explored solutions to find embedding vectors in GPS trajectory data
 
 
 
 
 

Engineering

SJTU Autonomous Driving Team

Jun 2019 – Feb 2020 Shanghai, China

Responsibilities include:

  • Developing object recognition algorithms using YOLO in ROS environment and implementing SLAM for navigation.

Tools include:

  • C++, Python, SLAM
 
 
 
 
 

Engineering

SJTU Robomaster Team (云汉交龙)

Sep 2018 – Aug 2019 Shanghai, China

Responsibilities include:

  • Developing technique to identify armor plates in competitors' robot

Tools include:

  • Python, Computer Vision, OpenCV

Contact