2 Jul – 6 Aug 2024
Other Format
2024 Summer Research Program
The Summer Research Program is designed for outstanding end-of-year 3 undergraduate students who are interested in pursuing research postgraduate study in the School of Science. This program offers participants with the unique opportunity to immerse themselves in the research life at HKUST campus…
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2 May 2022
Seminar, Lecture, Talk
Department of Mathematics - PhD Student Seminar - Data Adaptive Early Stopping in Split LBI: towards Controlling the False Discovery Rate
Early stopping is a widely-used regularization technique to avoid overfitting in iterative algorithms.
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29 Apr 2022
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Statistics - A Learning System in Pandemic Prevention — from macro predictive modeling to small probability estimation
Reproduction number (R
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29 Apr 2022
Seminar, Lecture, Talk
Department of Mathematics - PhD Student Seminar - Connecting spatial transcriptomics data and single-cell RNA sequencing data using the deep generative model
Spatial transcriptomics (ST) is a groundbreaking method that allows scientists to measure gene activity in a tissue sample and retain spatial information. However, most spatial ST technologies are limited by their resolution.
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29 Apr 2022
Seminar, Lecture, Talk
Department of Mathematics - Seminar on PDE - Anisotropic Dynamical Horizons Arising in Gravitational Collapse
Black holes are predicted by Einstein's theory of general relativity, and now we have ample observational evidence for their existence.
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29 Apr 2022
Seminar, Lecture, Talk
OCES Departmental Seminar: Local to Global Drivers of Past and Future Sea-Level and Coastal Environmental Change
Geological proxies provide valuable archives of the sea-level response to past climate variability over periods of more extreme global mean surface temperatures than the brief instrumental period.
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29 Apr 2022
Seminar, Lecture, Talk
Department of Mathematics - PhD Student Seminar - Normalizing Flows with Variational Latent Representation
Normalizing flow (NF) has gained popularity over traditional maximum likelihood based methods due to its strong capability to model complex data distributions.
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29 Apr 2022
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Applied Mathematics - Riemannian Proximal Gradient Methods
In the Euclidean setting, the proximal gradient method and its accelerated variants are a class of efficient algorithms for optimization problems with decomposable objective.
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27 Apr 2022
Seminar, Lecture, Talk
Physics Department - Condensed Matter Seminar: Correlations and Topology in a Transition Metal Dichalcogenide Compound
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