27 citations · 60 across the 4 of their papers we have counts for
5 papers
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
Yifan Zhou, Yan Shing Liang, Yew Kee Wong +3
The Research & Development (R&D) phase of drug development is a lengthy and costly process. To revolutionize this process, we introduce our new concept QMLS to shorten the whole R&…
Outlier Detection in the DESI Bright Galaxy Survey
Yan Liang, Peter Melchior, ChangHoon Hahn +3
We present an unsupervised search for outliers in the Bright Galaxy Survey (BGS) dataset from the DESI Early Data Release. This analysis utilizes an autoencoder to compress galaxy…
Autoencoding Galaxy Spectra II: Redshift Invariance and Outlier Detection
Yan Liang, Peter Melchior, Sicong Lu +2
We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender, which reliably captures spectral features and provide…
Autoencoding Galaxy Spectra I: Architecture
Peter Melchior, Yan Liang, ChangHoon Hahn +1
We introduce the neural network architecture SPENDER as a core differentiable building block for analyzing, representing, and creating galaxy spectra. It combines a convolutional e…
DI Herculis Revisited: Starspots, Gravity Darkening, and 3-D Obliquities
Yan Liang, Joshua N. Winn, Simon H. Albrecht
DI Herculis is an eclipsing binary famous for a longstanding disagreement between theory and observation of the apsidal precession rate, which was resolved when both stars were fou…