Meet the Team
Principal Investigator
Head of the DeepBayes Lab
Postdocs
Functional Bayesian deep learning
Deep reinforcement learning in non-stationary evnrionments (joint w/ Prof Jie Lu)
PhD Students
Model and data ensemble for uncertainty quantification
Diffusion in function space
Measure and mitigate algorithmic bias in generative AI system
Reinforcement learning-based post-training of VLA models (joint w/ Prof Jie Lu)
Object detection optimization using uncertainty-aware methods (joint w/ Dr Maoying Qiao)
Enhancing multilayer network visualisation through advanced data structures and distributed rendering (joint w/ A/Prof Christy Liang)
MRes Students
Efficient transformer neural processes
Geometry-driven Scalable Bayesian deep learning
A new paradigm for medical VQA with retrieval-augmented generation (joint w/ Dr Maoying Qiao)
Honours Students
Defence Strategies in Large Language Models
Computer Vision for Sewer Defect Detection and Corrosion Assessment
LLMs-based Product Positioning and Shopping Guidance
Alumni
Wei Duan (PhD)
Multi-agent reinforcement learning via graph neural networks
Mengjing Wu (PhD)
Functional Bayesian neural networks
Oscar Kiysohige Garces Aparicio (PhD)
Adaptive successor features for transfer reinforcement learning
Nelson Ma (PhD)
Structured task representations for contextual meta-reinforcement learning
Zhe Chen (MRes)
Deep reinforcement learning for autonomous drone control
Adi Lin (PhD)
Causal inference using Bayesian deep learning
Zihe Liu (PhD)
Continual reinforcement learning in non-stationary environments
Chris Shen (PhD)
Improving the factuality of abstractive text summarization
Johnny Kim (PhD)
Composing policies in deep reinforcement learning
Wei Duan (MRes)
Graph convolutional neural networks with negative sampling