10月10日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Use of Large Animal Models to Investigate Brain Diseases
Abstract Genetically modified animal models have been extensively used to investigate the pathogenesis of age-dependent neurodegenerative diseases, such as Alzheimer (AD), Parkinson (PD), Huntington (HD) diseases, and Amyotrophic Lateral Sclerosis (ALS). The common feature of these diseases…
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5月4日
研討會, 演講, 講座
MATH - PhD Student Seminar - Point-of-Interest(POI) Recommendation of Location-Based Social Network Using Tensor Factorization
With the rapid development of wireless communication technologies, location-based social networks(LBSNs), such as Foursquare and Gowalla, have become very popular. LBSNs have attracted millions of users to share their social friendship and their locations via check-ins.
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5月3日
研討會, 演講, 講座
PHYS Seminar - Effects of Air Physisorption on Photoluminescence of Cesium Lead Halide Perovskites
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5月3日
研討會, 演講, 講座
MATH - PhD Student Seminar - Causality detection with attention mechanism on time series data
Time series forecasting is widely used in many fields including stock price forecasting, weather prediction, signal data distribution, lossless compression etc.
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5月3日
研討會, 演講, 講座
MATH - PhD Student Seminar - Learning Molecular Dynamics with LSTM and Transformer
Recurrent neural networks like long short-term memory (LSTM) have been utilized  as a tool for mo
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5月3日
研討會, 演講, 講座
MATH - PhD Student Seminar - Two-stage Fourth-order finite difference gas-kinetic schemes (GKS) for the Euler and Navier-Stokes equations
With the two-stage fourth-order temporal evolution of the gas distribution function and Weighted Essentially Non-Oscillatory (WENO) reconstruction, a high-order finite difference gas-kinetic scheme is proposed.
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5月3日
研討會, 演講, 講座
MATH - PhD Student Seminar - Community Detection on Mixture Multi-Layer Networks via Regularized Tensor Decomposition
We study the problem of community detection in multi-layer networks, where pairs of nodes can be related in multiple modalities.
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5月1日
研討會, 演講, 講座
MATH - PhD Student Seminar - Training differential private network via feature mixup
Deep learning is widely used in different areas such as computer vision, natural language processing, and medical data analysis.  The success of deep learning relies on large scale dataset which contains data from different sources.  However, the massive data collection
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4月29日
研討會, 演講, 講座
MATH - PhD Student Seminar - Adversarial Defense with Self-supervised Test-time Fine-tuning
Current neural networks can be easily attacked by small artificially chosen noise called adversarial examples.
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