Sign In

Tze-Yang Tung

PhD student at Imperial College London specialising in deep video compression and the intersection between coding/information theory and machine learning.

Tze-Yang Tung is a machine learning engineer and researcher with expertise in deep learning, reinforcement learning, and information theory.13 He completed his PhD in Electrical and Electronics Engineering at Imperial College London from 2019 to 2022, focusing on deep learning techniques for wireless image and video transmission, as well as context-aware communications in multi-agent reinforcement learning.34

Tung's career highlights include:

  1. Co-founder of Not Diamond, a startup helping developers of AI-powered applications determine optimal model usage (February 2024 - Present).1
  2. Member of Technical Staff at Nokia Bell Labs (January 2023 - February 2024).1
  3. Research Assistant at Imperial College London (September 2019 - October 2022).1
  4. Co-founder and CTO of WAIveform, a company optimizing wireless video delivery (September 2019 - October 2022).1

His academic background includes:

  • PhD from Imperial College London (2019-2022)
  • Master's degree from the University of Southern California (2017-2019)
  • Bachelor's degree from Imperial College London (2014-2017)1

Tung has published several papers in prestigious journals and conferences, with his work focusing on deep learning-aided wireless video transmission, joint source-channel coding, and multi-agent reinforcement learning over noisy channels.235

Highlights

Feb 17 · dblp.org
Tze-Yang Tung - DBLP
‪Tze-Yang Tung‬ - ‪Google Scholar‬
Jan 1 · openreview.net
Tze-Yang Tung - OpenReview
Jun 2 · jardines.com
Jardine Foundation Scholarships
Jan 1 · imperial.ac.uk
Tze-Yang Tung | Research groups - Imperial College London
Tze-Yang Tung | Research groups - Imperial College London

Related Questions

What are Tze-Yang Tung's main research interests?
How did Tze-Yang Tung contribute to Not Diamond?
What is the significance of Tze-Yang Tung's work at Nokia Bell Labs?
Can you explain Tze-Yang Tung's role in WAIveform?
What are some notable achievements of Tze-Yang Tung in the field of machine learning?
Tze-Yang Tung
Tze-Yang Tung, photo 1
Tze-Yang Tung, photo 2
Add to my network

Location

London, England, United Kingdom