All Papers
Similar to how musicians compose albums as collections of songs, I organize my research into medleys — collections of papers joined by a common theme.
At Dartmouth, I worked on two medleys. Foray into NLP has my first NLP papers. Before that, I studied neural networks for histopathology image analysis in CP2: Computational Pathology & Colorectal Polyps. I also did an undergraduate thesis, Label Noise Reduction Without Assumptions, advised by Lorenzo Torresani.
Foray into NLP (2019-2020)
Text classification, data augmentation, and NLP for social science.
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason Wei, Kai Zou
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019
[Addendum] [Github]What Are People Asking About COVID-19? A Question Classification Dataset
Jerry Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei
Workshop on NLP for COVID-19 at ACL (NLP-COVID) 2020Mitigating Political Bias in Language Models through Reinforced Calibration
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi
AAAI Conference on Artificial Intelligence (AAAI) 2021Text Augmentation in a Multi-Task View
Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi
Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2021
CP2: Computational Pathology & Colorectal Polyps (2019-2020)
Neural networks for histopathology image analysis, with a focus on colorectal polyps.
- First-authored papers
- Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides, JAMA Network Open 2020
Neukom Prize for Outstanding Undergraduate Research - Pathologist-Level Classification of Histologic Patterns on Resected Lung Adenocarcinoma Slides with Deep Neural Networks, Scientific Reports 2019 [Github]
#3 most downloaded of 1024 cancer papers in Scientific Reports in 2019 - Automated Detection of Celiac Disease on Duodenal Biopsy Slides: A Deep Learning Approach, Journal of Pathology Informatics 2019
- Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides, JAMA Network Open 2020
- Co-authored papers
- Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification, Winter Conference on Applications of Computer Vision (WACV) 2021
- Difficulty Translation in Histopathology Images, Conference on Artificial Intelligence in Medicine (AIME) 2020
- Generative Image Translation for Data Augmentation in Colorectal Histopathology Images, Machine Learning for Health Workshop at NeurIPS (ML4H) 2019 [Spotlight]
- Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides, JAMA Network Open 2019
- Automating the Paris System for Urine Cytopathology: A Hybrid Deep Learning and Morphometric Approach, Cancer Cytopathology 2019
Tips for writing papers.
Notes on papers I’ve read.
My research values.