Wei Jin

Assistant Professor, Emory University

Joined

May 2021

Names

Wei Jin (Preferred)

Emails

****@msu.edu (Confirmed)

****@emory.edu (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Emory University (emory.edu)

2023 – Present

PhD student

Michigan State University (msu.edu)

2019 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Jiliang Tang

Present

Expertise

Data Mining

Graph Neural Networks

Machine Learning

Present

Time Series Analysis

Present

Publications

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting
Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin
- arXiv
- Readers: Everyone
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
Zewen Liu, Juntong Ni, Xianfeng Tang, Max SY Lau, Wenpeng Yin, Wei Jin
- arXiv 2025
- Readers: Everyone
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
- arXiv 2025
- Readers: Everyone
Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes
Zewen Liu, Juntong Ni, Max SY Lau, Wei Jin
- Submitted to ICLR 2026
- Readers: Everyone
Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
Shengbo Gong, Xianfeng Tang, Carl Yang, Wei Jin
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash
- ICLR 2026 Poster
- Readers: Everyone
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin
- Submitted to ICLR 2026
- Readers: Everyone
ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
Yuhao Xu, Xiaoda Wang, Yi Wu, Wei Jin, Xiao Hu, Carl Yang
- TS4H NeurIPS 2025 Poster
- Readers: Everyone
PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation
Juntong Ni, Saurabh Kataria, Shengpu Tang, Carl Yang, Xiao Hu, Wei Jin
- TS4H NeurIPS 2025 Spotlight
- Readers: Everyone
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone

View all 49 publications

Co-Authors

View all 107 co-authors