Hello.

This is Danlu Chen 陳丹露.

I am a Ph.D. candidate at UC San Diego. I have been a member of the amazing BergLab since 2020. My advisor is Taylor Berg-Kirkpatick. I work on Natural Language Processing (NLP) and machine learning. More specifically, I am interested in:

Because the tasks I work on are low-resource and labor-intensive, I am also broadly interested in:

If you are also interested in AI/NLP/CV + X, where X can be ancient languages, paleography, anthropology, or other humanities-related topics, feel free to contact me via firstname@ucsd.edu

Additionally, I am also a PSIA certified ski instructor. My favoriate resorts are Steamboat > Alta ~ Snowbird ~ Solitude ~ Brighton ~ Aspen Highlands.

Publications show selected / show all by date

LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP

Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick

ACL 2024 - Paper / Project Page

Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating

Danlu Chen, Jiahe Tian, Yufei Weng, Taylor Berg-Kirkpatrick, Jacobo Myerston

ML4AL 2024 (oral) - Paper / Code

MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting

Danlu Chen, Jacob Murel, Taimoor Shahid, Xiang Zhang, Jonathan Parkes Allen, Taylor Berg-Kirkpatrick, David A. Smith

IWCP 2024 (Oral) - Paper / Code

CuneiML: A cuneiform dataset for machine learning

Danlu Chen, Aditi Agarwal, Taylor Berg-Kirkpatrick, Jacobo Myerston

JHOD 2023 - Paper / Code

EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora using Visual Features

Danlu Chen, Nan Jiang, Taylor Berg-Kirkpatrick

ICDAR 2023 - Paper / Code

Cypro-Minoan: one language or three? An exercise in phonology-based statistical analysis

Christina Skelton, Laurel Selvig, Danlu Chen, Nikita Srivatsan, Taylor Berg-Kirkpatrick

Lingue e linguaggio, 2022 - Paper

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu

EMNLP 2019, Demo Paper - Paper

Multi-Scale Dense Convolutional Networks for Efficient Prediction

Gao Huang, Danlu Chen, Felix Wu, Tianhong Li, Laurens van der Maaten, Kilian Weinberger

ICLR 2018 (oral) - Paper

Multi-Scale Dense Convolutional Networks for Efficient Prediction

Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang

EMNLP 2016 - Paper Code

* Template modified from Evan You and Freda Shi.