Yuanbang Liang
PhD candidate in computer science @ Cardiff University
I'm working with Professor Yu-kun Lai at Cardiff University, as a research associate. My research interests are centred around machine learning and its applications in computer vision, computer graphics and content generation.
My PhD research, which is fully funded by the EPSRC, focuses on the hubness phenomenon to uncover the relationship between the hyper-dimensional distribution and the generative models. Now my research is on explainability of generative models to make model-generated results more aligned with objective facts is a core challenge in AI, often referred to as AI alignment. The goal is to ensure that an AI system's behaviour and decisions align with human intent, values, and objective reality.
Now I'm Expecting to graduate before 2025 and looking for the research jobs.
News
Our team is organising the 1st Cardiff Image and Vision Computing Workshop.
Our paper is accepted by ICML as Spotlight.
Our paper is accepted by CVPR as Oral.
Education
Cardiff University
Doctor of Philosophy
Thesis title: Uncovering the “Instincts” of Deep Generative Models for Fair and Unbiased Visual Content Creation. Supervised by Yipeng Qin, Yu-Kun Lai and Jing Wu.
University of Bristol
Master of Science
Engineering Mathematics.
University of Liverpool
Bachelor of Science
Computer Science.
Xi'an Jiao-Tong Liverpool University (XJTLU)
Bachelor of Science
Information and Computer Science.
Selected Publications
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
Yuanbang Liang*, Jing Wu , Yu-Kun Lai , Yipeng Qin
The Forty-first International Conference on Machine Learning, 2024
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang*, Jing Wu , Yu-Kun Lai , Yipeng Qin
The Thirty-ninth International Conference on Machine Learning, 2022