Deep Learning Research Group
Welcome to Deep Learning at VUW! We are passionate about advancing the frontiers of artificial intelligence through cutting-edge research and innovative applications. Our team focuses on exploring the theoretical foundations of machine learning and on leveraging generative AI to address some of the most pressing challenges in technology and data science.
Our primary goal is to create intelligent systems that improve the performance and scalability of generative and machine learning solutions. We specialise in areas such as deep learning theory, generative approaches and enhancing computer vision and graphics content. Additionally, we delve into social network analysis and advanced query processing techniques to unlock new possibilities for data-driven insights and applications.
Through our work, we aim to bridge the gap between AI research and real-world impact, developing solutions that empower industry to operate more efficiently and effectively. Whether you are interested in groundbreaking AI theory or practical tools that drive innovation, our group is dedicated to making a difference.
News
- 2026/01: Organised the 1st Streaming Continual Learning Bridge program at AAAI. (2026): H. M. Gomes, Lee, A., et al.
- 2025/12: Presented at Neurips: Niwa, K., Takezawa, Y., Zhang, G., Kleijn, W. B. (2025). Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency.
- 2025/07: Presented at AAAI: A. Lee, A. Gomes, H. M & Zhang. Y, & Kleijn. W. B. (2025). Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP.
Welcome to Deep Learning at VUW! We are passionate about advancing the frontiers of artificial intelligence through cutting-edge research and innovative applications. Our team focuses on exploring the theoretical foundations of machine learning and on leveraging generative AI to address some of the most pressing challenges in technology and data science.
Our primary goal is to create intelligent systems that improve the performance and scalability of generative and machine learning solutions. We specialise in areas such as deep learning theory, generative approaches and enhancing computer vision and graphics content. Additionally, we delve into social network analysis and advanced query processing techniques to unlock new possibilities for data-driven insights and applications.
Through our work, we aim to bridge the gap between AI research and real-world impact, developing solutions that empower industry to operate more efficiently and effectively. Whether you are interested in groundbreaking AI theory or practical tools that drive innovation, our group is dedicated to making a difference.