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 2026
2026
Publication Type:
Conference
Status:
Accepted
Authors:
Chonghe Jiang (MIT), Xinyu Chen (UCF), Jinhua Zhao (MIT)
FrontierOR: Benchmarking LLMs’ Capacity for Efficient Algorithm Design in Large-Scale Optimization
Year of Publication:
Venue:
IFROS 2026
2026
Publication Type:
Conference
Status:
Accepted
Authors:
Minwei Kong (SMART), Chonghe Jiang (MIT), Ao Qu (MIT), Wenbin Ouyang (MIT), Zhaoming Zeng (NEU), Xiaotong Guo (Uber), Zhekai Li (MIT), Junyi Li (SMART), Yi Fan (SJTU), Xinshou Zheng (BU), Xi Jing (BU), Yikai Zhang (BU), Zhiwei Liang (Emory), Seonghoo Kim (Northwestern), Runqing Yang (BU) Zijian Zhou (NUS), Sirui Li (Microsoft), Han Zheng (MIT), Wangyang Ying (Zhiling Research), Ou Zheng (Zhiling Research),Chonghuan Wang (UT Dallas), Jinglong Zhao (BU), Hanzhang Qin (NUS), Cathy Wu (MIT), Paul Liang (MIT), Jinhua Zhao (MIT), Hai Wang (SMU)
Year of Publication:
Venue:
NeurIPS 2025 ScaleOPT workshop
2025
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)
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)