Shiu-Hong Kao is a first-year PhD student in Computer Science in the CVML Group at National University of Singapore (NUS), advised by Prof. Angela Yao. His research focuses on video understanding, reasoning segmentation, and LLM/MLLM reasoning.
Shiu-Hong Kao is a first-year PhD student in Computer Science in the CVML Group at National University of Singapore (NUS), advised by Prof. Angela Yao. His research sits at the intersection of deep learning and computer vision, with a focus on video understanding, reasoning segmentation, and LLM/MLLM reasoning.
He received the M.Phil. in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST) under the supervision of Prof. Chi-Keung Tang, collaborating closely with Prof. Yu-Wing Tai from Dartmouth College. He also conducted research in 3D reconstruction and interned in the Media Computing Group at Microsoft Research Asia, working with Dr. Xiao Li and Dr. Jinglu Wang.
Before graduate school, he earned a Bachelor of Science degree from HKUST, double-majoring in Data Science and Technology and Computer Science. He completed his undergraduate thesis in Prof. Shueng-Han Gary Chan's lab, in cooperation with Dr. Jierun Chen.
About his name: He goes by Daniel in daily life. His Chinese name, Shiu-Hong, is typically used only in official documents and publications. In mainland China, he is sometimes referred to as Xuhong, based on a different homophonic transliteration system.
arXiv preprint, 2026
We identify the Posterior Concentration Phenomenon (PCP) in probability-rewarded long-horizon reasoning and propose RLCPR, a verifier-free RL framework that improves optimization stability, accuracy, and token efficiency.
arXiv preprint, 2026
*Equal contribution. We propose Rita, a reasoning-label-free RL paradigm that uses probability-based thinking and consistency rewards to reduce thinking drift in visual intention grounding.
International Conference on Learning Representations (ICLR), 2026
We propose CoT-RVS to extract the temporal-semantic correlation in videos with chain of thoughts and achieve the state-of-the-art performance for reasoning video segmentation.
Conducted research in 3D computer vision and contributed to research publications in the community.
Designed and developed algorithms across image processing, OCR, data parsing, and deep learning. Report