9月23日
简介会, 迎新
HKUST Information Session on MPhil and PhD Studies
The HKUST Information Session on MPhil & PhD Studies aims to share the experience of research postgraduate studies at HKUST and provide tips and useful advice to prospective students.    Join this Information Session to learn more about: The benefits of studying…
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12月17日
简介会, 迎新
HKUST MSc in Data-Driven Modeling Information Session (Shenzhen)
Application for 2023/24 Fall Term admission to HKUST MSc in Data-Driven Modeling (MScDDM) is now open. Join the MScDDM Information Session in Shenzhen / via Zoom on December 17, 2022 (Saturday) to explore how MScDDM equips you to thrive in the data science sector.
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12月15日
研讨会, 演讲, 讲座
Seminar on Applied Mathematics - High-Dimensional Inverse Problems with Generative Models
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12月14日
研讨会, 演讲, 讲座
Department of Chemistry - Seminar - Semiconductor Nanocrystal Photocatalysis for The Production of Solar Fuels
Speaker: Prof. Todd KRAUSS Institution: Institute of Optics, University of Rochester, NY, USA Hosted By: Professor Haipeng LU
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12月9日
会议, 座谈会, 论坛
HKUST Energy InstituteTechnology Showcase 2022
HKUST Energy InstituteTechnology Showcase 2022Date:     9 December 2022 Friday
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12月8日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Applied Mathematics - Image Reconstruction Using Shape Prior, Statistical Prior, and Beyond
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.
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12月8日
研讨会, 演讲, 讲座
Department of Mathematics - Hong Kong-Singapore joint Seminar Series in Financial Mathematics/Engineering - A coupling approach to the turnpike phenomenon in stochastic control and McKean-Vlasov control
Coupling methods provide a powerful toolbox for the quantitative analysis of the long-time behaviour of Markov processes.
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12月7日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Statistics and Data Science - Towards Optimal Sample Complexities in Offline Reinforcement Learning and Markov Games
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
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12月6日
会议, 座谈会, 论坛
Incubation and Commercialization Summit
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.
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