All Papers

Similar to how musicians compose albums as a collection of songs, I write medleys - collections of research papers joined by a common theme.

I am currently working on Foray into NLP (2019-Present).

As an undergraduate at Dartmouth College, I wrote CP2: Computational Pathology & Colorectal Polyps (2019-2020), a series of papers that explore neural networks for histopathology image analysis.

Foray into NLP (2019-Present)

  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-IJCNLP) 2019
    [Addendum] [Github]

  2. Narrative Origin Classification of Israeli-Palestinian Conflict Texts
    Jason Wei, Eugene Santos Jr.
    Florida Artifical Intelligence Research Society Conference (FLAIRS) 2020

  3. 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

CP2: Computational Pathology & Colorectal Polyps (2019-2020)

Neural networks for histopathology image analysis, with a focus on colorectal polyps.

  1. Pathologist-Level Classification of Histologic Patterns on Resected Lung Adenocarcinoma Slides with Deep Neural Networks
    Jason Wei, Laura Tafe, Yevgeniy Linnik, Louis Vaickus, Naofumi Tomita, Saeed Hassanpour
    Scientific Reports 2019
    #3 most downloaded of 1024 cancer papers in Scientific Reports in 2019

  2. Automated Detection of Celiac Disease on Duodenal Biopsy Slides: A Deep Learning Approach
    Jason Wei, Jerry Wei, Christopher Jackson, Bing Ren, Arief Suriawinata, Saeed Hassanpour
    Journal of Pathology Informatics 2019

  3. Automating the Paris System for Urine Cytopathology: A Hybrid Deep Learning and Morphometric Approach
    Louis Vaickus, Arief Suriawinata, Jason Wei, Xiaoying Liu
    Cancer Cytopathology 2019

  4. Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
    Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief Suriawinata, Saeed Hassanpour
    JAMA Network Open 2019

  5. Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
    Jerry Wei, Arief Suriawinata, Louis Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
    Machine Learning for Health Workshop at NeurIPS (ML4H) 2019 [Spotlight]

  6. Predicting Colorectal Polyp Recurrence Using Time-to-event Analysis of Medical Records
    Lia Harrington, Jason Wei, Arief Suriawinata, Todd Mackenzie, Saeed Hassanpour
    AMIA Informatics Summit 2020

  7. Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides
    Jason Wei, Arief Suriawinata, Louis Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam Kim, Dale Snover, John Baron, Elizabeth Barry, Saeed Hassanpour
    JAMA Network Open 2020
    Neukom Prize for Outstanding Undergraduate Research, 3rd place

  8. Difficulty Translation in Histopathology Images
    Jerry Wei, Arief Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
    Conference on Artificial Intelligence in Medicine (AIME) 2020 [Oral]


  1. Label Noise Reduction Without Assumptions
    Jason Wei
    Dartmouth Undergraduate Thesis 2020
    Advisor: Lorenzo Torresani

Tips for writing papers.
Notes on papers I’ve read.
My research values.