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Chonghe Jiang is a PhD student at MIT IDSS. He study optimization, the intersection between optimization and LLMs, and LLM as optimizer.

Interpretable Time Series Imputation via Hankel Lifting and Robust Regularization

Year of Publication:

Venue:

TSL Conference 2026

2026

Publication Type:

Conference

Status: 

Accepted

Authors:

Chonghe Jiang (MIT), Xinyu Chen (UCF), Jinhua Zhao (MIT)

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library

Year of Publication:

Venue:

KDD Conference 2026

2026

Publication Type:

Conference

Status: 

Accepted

Authors:

Minwei Kong (SMART), Ao Qu (MIT), Xiaotong Guo (MIT), Wenbin Ouyang (MIT), Chonghe Jiang (MIT), Han Zheng (MIT), Yining Ma (MIT), Dingyi Zhuang (MIT), Yuhan Tang (MIT), Junyi Li (SMART), Hai Wang (SMU), Cathy Wu (MIT), Jinhua Zhao (MIT)

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks

Year of Publication:

Venue:

13th International Conference on Learning Representations (ICLR-25)

2025

Publication Type:

Conference

Status: 

Published

Authors:

Dingyi Zhuang (MIT), Chonghe Jiang (MIT), Yunhan Zheng (SMART), Shenhao Wang (UF), Jinhua Zhao (MIT)

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