Alvin Chan

PhD Candidate in Computer Science, Final Year

Nanyang Technological University, Singapore


Alvin Chan is a graduating Computer Science PhD candidate in Nanyang Technological University, Singapore. His research interests center around making AI technologies safe and beneficial for humanity, encompassing topics like generative modeling, adversarial learning and deep learning for medical applications. He is in his final year and works with Prof Ong Yew Soon. In his free time, he enjoys rock-climbing, jogging and attending tech meetups.


  • Generative Models
  • Computational Biology
  • Adversarial Learning


  • PhD in Computer Science, 2021

    Nanyang Technological University, Singapore

  • BEng in Bioengineering, 2013

    Nanyang Technological University, Singapore

Recent Publications

CoCon: A Self-Supervised Approach for Controlled Text Generation

TL;DR: We propose CoCon to control the content of text generation from LMs by conditioning on content inputs at an interleave layer. …

Parameterization of Hypercomplex Multiplications

TL;DR: We propose a new parameterization of hypercomplex multiplications for architectural flexibility and effectiveness.
Abstract: …

RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

TL;DR: We construct an RNA alternative splicing regression dataset (CAPD) and propose DCEN to predict splicing outcomes by modeling …

Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder

TL;DR: We propose Conditional Adversarially Regularized Autoencoder to imbue poison signature and generate natural-looking poisoned …

Deep learning for fabrication and maturation of 3D bioprinted tissues and organs

TL;DR: Perceptive paper on how deep learning can improve 3D bioprinting.
Abstract: Bioprinting is a relatively new and promising …