HKUST Energy Institute Technology Showcase 2022 Date:     9 December 2022 Friday

As the advances in imaging modalities in which the image reconstruction problems are mathematically inverse problems, many new kinds of inverse problems have emerged and trends to being high dimensional but with low-cost data acquisition.

Coupling methods provide a powerful toolbox for the quantitative analysis of the long-time behaviour of Markov processes.

Emerging reinforcement learning (RL) applications necessitate the design of sample-efficient solutions in order to accommodate the explosive growth of problem dimensionality. Despite the empirical success, however, our understanding about the statistical limits of RL remai

Technology innovation and technology transfer are key driving forces to promote economic growth, including blue economy. As a world-class university in Hong Kong, HKUST is striving to explore the upstream technology innovation and the downstream technology transfer.