Jingyun Xiao

PhD student, Machine Learning, Georgia Institute of Technology

Joined

May 2022

Names

Jingyun Xiao (Preferred)

Emails

****@gatech.edu (Confirmed)

Personal Links

Google Scholar

Career & Education History

PhD student

Machine Learning, Georgia Institute of Technology (gatech.edu)

2023 – 2027

MS student

Computer Science, Georgia Institute of Technology (gatech.edu)

2021 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Eva L Dyer

Present

Expertise

No areas of expertise listed

Publications

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
Chengyue Huang, Yuchen Zhu, Sichen Zhu, Jingyun Xiao, Moises Andrade, Shivang Chopra, Molei Tao, Zsolt Kira
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
A scalable self-supervised method for modeling human intracranial recordings during natural behavior
Shivashriganesh P. Mahato, Jingyun Xiao, Alexandre Andre, Geeling Chau, Wenrui Ma, Ian Jarratt Knight, Duy Nguyen, Lawrence Jianqiao Hu, Bingni W Brunton, Michael S. Beauchamp, Bijan Pesaran, Sergey A. Shuvaev, Eva L Dyer
- NeurIPS 2025 Workshop BrainBodyFM
- Readers: Everyone
Generalizable autoregressive modeling of time series through functional narratives
Ran Liu, Wenrui Ma, Ellen L. Zippi, Hadi Pouransari, Jingyun Xiao, Christopher Michael Sandino, Behrooz Mahasseni, Juri Minxha, Erdrin Azemi, Eva L Dyer, Ali Moin
- Submitted to ICLR 2025
- Readers: Everyone
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen, Chi-Heng Lin, Ran Liu, Jingyun Xiao, Eva L Dyer
- NeurIPS 2024 poster
- Readers: Everyone
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Jingyun Xiao, Ran Liu, Eva L Dyer
- ICLR 2024 poster
- Readers: Everyone
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M Jackson, Mehdi Azabou, Jingyun Xiao, Chris Liding, Matthew Jin, Carolina Urzay, William Gray-Roncal, Erik Christopher Johnson, Eva L Dyer
- Published: 17 Sept 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Datasets and Benchmarks
- Readers: Everyone
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva L Dyer
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone

Co-Authors

View all 40 co-authors

Jingyun Xiao

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models

A scalable self-supervised method for modeling human intracranial recordings during natural behavior

Generalizable autoregressive modeling of time series through functional narratives

Your contrastive learning problem is secretly a distribution alignment problem

GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction

Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers

Co-Authors