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.

1. 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]

2. 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) 2020

3. Mitigating 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) 2021

4. Text 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
• 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.