14 citations · 20 across the 5 of their papers we have counts for
5 papers
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
Tianxiao Li, Hongyu Guo, Filippo Grazioli +2
In protein biophysics, the separation between the functionally important residues (forming the active site or binding surface) and those that create the overall structure (the fold…
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
Irene Li, Vanessa Yan, Tianxiao Li +2
Learning prerequisite chains is an essential task for efficiently acquiring knowledge in both known and unknown domains. For example, one may be an expert in the natural language p…
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
Irene Li, Aosong Feng, Hao Wu +3
Multi-label text classification (MLTC) is an attractive and challenging task in natural language processing (NLP). Compared with single-label text classification, MLTC has a wider…
Global Data Science Project for COVID-19
Toyotaro Suzumura, Dario Garcia-Gasulla, Sergio Alvarez Napagao +14
This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. as on May 31 2020. COVID-19 has largely impacted on our societies through both dire…
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing
Irene Li, Yixin Li, Tianxiao Li +3
The outbreak of coronavirus disease 2019 (COVID-19) recently has affected human life to a great extent. Besides direct physical and economic threats, the pandemic also indirectly i…