Kenneth Yang Kenneth Yang

Kenneth Yang

MS Student, National Taiwan University

To get something you never had, you have to do something you never did. -- Daniel Washington

About Me

I am Kenneth Yang, an MS student at National Taiwan University advised by Prof. Yu-Chiang Frank Wang. My current research focuses on 3D reconstruction and video generation.

I received my BS degree in Computer Science from National Tsing Hua University, where I received the Outstanding Academic Achievement Award twice. During my undergraduate studies, I worked with Dr. Jen-Chun Lin on cross-modal modeling and efficient learning.

My research focuses on 3D computer vision and generative video modeling, particularly for understanding and modeling real-world scenes from images and videos. I am interested in building visual systems that can model and reason over long temporal contexts, recover the structure of the physical world, and predict or generate changes in complex environments.

📣📣 I plan to apply to CS Ph.D. programs in the Fall 2027 application cycle. I am also actively seeking research internship or visiting student opportunities. Please feel free to reach out by email!

News

2026.07Successfully defended my master's thesis!
2026.06HIST3R is released.
2026.06My personal webpage is created.
2026.05GD-FPS is released.
2025.09FPS is accepted in NeurIPS 2025 COML Workshop.

Publications

Coming soon
HIST3R overview

HIST3R: Rectified State Decomposition from History for Streaming 3D Reconstruction

Kenneth Yang, Yu-Chiang Frank Wang

Under submission

Paper and Website coming soon.
TL;DR: A direction–magnitude view of recurrent state updates that unifies and improves CUT3R-based streaming 3D reconstruction.
arXiv 2026
GD-FPS overview

GD-FPS: Growth-Driven Feedforward Parameter Selection for Efficient Fine-Tuning

Kenneth Yang, Wen-Li Wei, Jen-Chun Lin

arXiv preprint, 2026

Paper
TL;DR: Select task-sensitive parameters by measuring downstream activation growth against a pre-training anchor, making parameter selection fast, stable, and gradient-free.
NeurIPS COML Workshop 2025
FPS overview

FPS: Feed-Forward Based Parameter Selection for Efficient Fine-Tuning

Kenneth Yang, Wen-Li Wei, Jen-Chun Lin

Conference on Neural Information Processing Systems (NeurIPS), COML Workshop, 2025. Poster.

Paper
TL;DR: Select trainable parameters using only forward-pass weight–activation signals, avoiding the full-model backward pass required by gradient-based selection.
ICASSP 2024Oral
Music-to-Dance Poses overview

Music-to-Dance Poses: Learning to Retrieve Dance Poses from Music

Bo-Wei Tseng, Kenneth Yang, Yu-Hua Hu, Wen-Li Wei, Jen-Chun Lin

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. Oral.

Paper
TL;DR: A retrieval-based music-to-dance framework that projects music snippets into 3D human pose space.

Education

  • National Taiwan University, MS in Communication Engineering (Data Science Group)
  • National Tsing Hua University, BS in Computer Science
    • Recipient of Outstanding Academic Achievement Award (Top 5% in class), twice
    • Last 60 GPA: 4.24/4.3

Experience

  • Research Assistant, Sep 2024 - Present
    Vision and Learning Lab, National Taiwan University
    Advisor: Prof. Yu-Chiang Frank Wang
    • Research areas: 3D reconstruction, video generation
  • Summer Research Intern / Research Assistant, Jul 2023 - Sep 2024
    Multimedia Technologies Lab, Academia Sinica IIS
    Advisor: Dr. Jen-Chun Lin
    • Research areas: cross-modal modeling, efficient learning

Teaching

  • Graduate Teaching Assistant, Fall 2025
    Deep Learning for Computer Vision, National Taiwan University
    • Graduate-level course for the EECS Department, with more than 250 students enrolled.
    • Held discussion sessions and office hours, designed assignments, graded coursework, and guided course projects.

Honors and Awards

  • Outstanding Academic Achievement Award, National Tsing Hua University, Fall 2023
  • Outstanding Academic Achievement Award, National Tsing Hua University, Spring 2024