research
∙
07/29/2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
Immune repertoire classification, a typical multiple instance learning (...
share
research
∙
07/11/2023
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks
The success of the GPT series proves that GPT can extract general inform...
research
∙
03/11/2023
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation
The spread of online misinformation threatens public health, democracy, ...
research
∙
11/16/2022
Learning with Noisy Labels over Imbalanced Subpopulations
Learning with Noisy Labels (LNL) has attracted significant attention fro...
research
∙
09/14/2021
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
What should a malicious user write next to fool a detection model? Ident...
research
∙
11/11/2020
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Fact checking by professionals is viewed as a vital defense in the fight...
research
∙
05/25/2020