14 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Exploring Private Federated Learning with Laplacian Smoothing
Federated learning aims to protect data privacy by collaboratively learning a model without sharing private data among users. However, an adversary may still be able to infer the private training data by attacking the released model.
14 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Towards Adversarial Robustness by Natural Training Using Deep Stable ODE Networks
In this seminar I will talk about a provably stable architecture for Neural Ordinary Differential Equations (ODEs) which achieves non-trivial adversarial robustness under white-box adversarial attacks even when the network is trained naturally.
14 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Detect conformation change by template matching in cryo-em images
Cryo-EM detects protein conformations froze in solution, and thus provides a promising way to characterize these conformational changes. In order to detect the conformational change, we developed a new algorithm to obtain multiple conformations and their populations from Cryo-EM datasets.
14 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - A three-dimensional unified gas-kinetic wave-particle solver for all flow regime
In this paper, the multiscale unified gas-kinetic wave-particle (UGKWP) method has been implemented on three-dimensional unstructured mesh with the capability of large-scale parallel computing.
14 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Cross-population genetic prediction by harnessing the shared genetic basis between ancestries
The polygenic risk score (PRS) derived from the genome-wide association studies (GWASs) predicts the individualized genomic predisposition to complex traits/diseases.
13 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Identification of genetic signatures of human face by AI-Driven facial phenotyping
Traditional human face genome-wide association studies (GWASs) are limited by small sample size and inefficient landmarks-based phenotyping methods.
13 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Perfectly matched layer for optical modes
We develop the method of perfectly matched layer (PML) for the calculation of optical modes in microcavities. The PML is constructed by implementing the complex coordinate transformation in the far field region.
13 May 2020
Seminar, Lecture, Talk
MATH_PhD Student Seminar - Computational Resolution Limit: a Modern View of a Classical Problem
Given an image generated by the convolution of point sources with a bandlimited function, the inverse problem is to reconstruct the source number, positions, and amplitudes. It is well-known that it is impossible to resolve the sources when they are close enough in practice.
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