Jie Chen

Principal Applied Scientist, Amazon

Joined

September 2017

Names

Jie Chen

Emails

****@us.ibm.com (Confirmed)

****@gmail.com (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Career & Education History

Principal Applied Scientist

Amazon (amazon.com)

2026 – Present

Senior Research Scientist

International Business Machines (ibm.com)

2014 – 2025

Postdoc

Argonne National Laboratory (anl.gov)

2010 – 2014

PhD student

University of Minnesota - Twin Cities (umn.edu)

2004 – 2010

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Graph coarsening: From scientific computing to machine learning
Jie Chen, Yousef Saad, Zechen Zhang
- OpenReview Archive Direct Upload
- Readers: Everyone
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
Wei Liu, Anweshit Panda, Ujwal Pandey, Haven Cook, George Slota, Naigang Wang, Jie Chen, Yangyang Xu
- Accepted by TMLR
- Readers: Everyone
Rectifying Adaptive Learning Rate Variance via Confidence Estimation
Giangiacomo Mercatali, Jie Chen, Alexandros Kalousis
- Submitted to ICLR 2026
- Readers: Everyone
Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Zehao Niu, Mihai Anitescu, Jie Chen
- Submitted to ICLR 2026
- Readers: Everyone
Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
Sukwon Yun, Jie Peng, Pingzhi Li, Wendong Fan, Jie Chen, James Zou, Guohao Li, Tianlong Chen
- ICLR 2026 Poster
- Readers: Everyone
GPTOpt: Towards Efficient LLM-based Black-Box Optimization
Jamison Meindl, Yunsheng Tian, Tony Cui, Veronika Thost, Zhang-Wei Hong, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic
- Submitted to ICLR 2026
- Readers: Everyone
Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research
Gang Liu, Yihan Zhu, Jie Chen, Meng Jiang
- Submitted to ICLR 2026
- Readers: Everyone
Graph Diffusion Transformers are In-Context Molecular Designers
Gang Liu, Jie Chen, Yihan Zhu, Michael Sun, Tengfei Luo, Nitesh V Chawla, Meng Jiang
- ICLR 2026 Poster
- Readers: Everyone
Cross-Domain Pre-training of Transformers on Text-Attributed Graphs via Random Walks
Ziyuan Tang, Jie Chen
- Submitted to ICLR 2026
- Readers: Everyone
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
Jamison Meindl, Yunsheng Tian, Tony Cui, Veronika Thost, Zhang-Wei Hong, Johannes P. Dürholt, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic
- ScaleOPT Poster
- Readers: Everyone

View all 133 publications

Co-Authors

View all 212 co-authors