About me
I am first-year Computer Science PhD student in Duke University supervised by Prof. Monica Agrawal. Before that, I earned my bachelor degree at University of Southern California, where I was fortunate to work with Prof. Yan Liu, Prof. Jesse Thomason, Prof. Maja J Matarić.
My primary research interests encompass the development of machine learning and data mining algorithms for handling data with unique structures like texts, multimodal, and time-series data, and tackling the distribution shift of data over time through deep learning methods. My current research focuses on natural langauge processing; multimodal machine learning; continual learning methods for distribution shifts; parameter-efficient fine-tuning on pre-trained models.
Research Interest:
- Natural Language Processing
- Clinical NLP
- Multimodal machine learning
- Continual Learning
- Time series analysis
- Data Mining
Education
Duke University
Aug. 2024 - Present- PhD in Computer Science
University of Southern California
Aug. 2020 - May 2024GPA: 3.96/4
- Bachelor of Science in Computer Science
- Bachelor of Science in Applied and Computational Mathematics
Research Experience
- Research Assistant at Melady Lab advised by Prof. Yan Liu
- Research Assistant at GLAMOR Lab advised by Prof. Jesse Thomason
- Research Assistant at Interaction Lab advised by Prof. Maja Matarić
More details are under CV
Publications
- Diagnosing our datasets: How does my language model learn clinical information? Furong Jia, David Sontag, Monica Agrawal
6th Annual Conference on Health, Inference, and Learning (CHIL 2025) - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu.
The Twelfth International Conference on Learning Representations (ICLR 2024) - GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. Furong Jia, Kevin Zheng, Yixiang Zheng, Defu Cao, Yan Liu.
The 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24) - I2I: Initializing Adapters with Improvised Knowledge Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
Conference on Lifelong Learning Agents (CoLLAs) 2023
More details are under Publications
Teaching experience
- Teaching Assistant for CS 290: Intro. Applied Machine Learning at Duke University (Spring 2025)
- Course Producer for ITP 104: Web Publishing at USC (Fall 2021 - Spring 2024)
- Course Producer for CSCI 270: Introduction to Algorithms and the Theory of Computing at USC (Fall 2022)
Honors and Awards
- USC Provost’s Research Fellowship (Spring 2023 & Spring 2021)
- W.V.T. Rusch Undergraduate Engineering Honors Program
- Center for Undergraduate Research in Viterbi Engineering (CURVE) Fellowship
- Dean’s list
- Academic Achievement Award
- ABC Innovation Prize
Contact
- Current school email: flora.jia ‘at’ duke ‘dot’ edu
- Personal email: jiafurong2002 ‘at’ gmail ‘dot’ com