About me

Hi! I am Johnson (Kuei-Chun) Kao, a master student studying Computer Science at University of California, Los Angeles (UCLA), advised by Prof. Cho-Jui Hsieh.

Previously, I’m a Research Assistant at Institute of Information Science Academia Sinica, advised by Prof. Keh-Yih Su.

My research interest lies in the intersection of Human Computer Interaction (HCI), Computer Vision (CV), and Natural Language Processing (NLP), aiming to equip computers with the ability to understand data across different modalities. Besides, I love to build efficient, reliable and scalable machine learning systems in different scenarios. Previously, I was fortune to work as Machine Learning Scientist with Prof. Min Sun at Appier. I received my B.Sc. degree from National Yang Ming Chiao Tung University where I was so lucky to be advised by Prof. Yung-Ju Chang, Prof. Wei-Chen Chiu, and Prof. Ching-Chun Huang.

Specifically, I am interested in the following topcis:

• LLM and MLLM Understanding: Instruction finetuning and prompt optimization of (M)LLMs, Multimodal language agents, Commonsense Reasoning
• Human-AI Communication: Explainable AI, Ubiquitous computing
• Model Compression: Structural Pruning, Knowledge Distillation

Recent News

• June, 2024 Publish an Arxiv Paper about LLM reasoing, please check out link.
• Sep. 2023 Start Master at UCLA.
• Jan. 2023 One paper got accpeted in CHI 2023.