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
   [Github]
   #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]

Singles

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.