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Jialin Chen. I am Jialin Chen, a second-year computer science Ph.D. student at Yale University advised by Professor Rex Ying. Previously, I obtained my B.S. degree at Shanghai Jiao Tong University (SJTU) in 2022. I majored in mathematics and applied mathematics ( Zhiyuan Honors Program )
2024. Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension. J Chen, Z Zhang, H Zhao. COLING 2022. , 2023. 5. 2023. Tempme: Towards the...
Physics PhD candidate @ USTC. Research field: QKD based on integrated photonics. - Chen-Jialin.
- USTC
Articles 1–10. Zhejiang University - Cited by 134 - Nanophotonics - 2D materials - Optoelectronics - Plasmonics.
Oct 19, 2022 · On Representing Mixed-Integer Linear Programs by Graph Neural Networks. Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin. While Mixed-integer linear programming (MILP) is NP-hard in general, practical MILP has received roughly 100--fold speedup in the past twenty years.
Sep 25, 2022 · On Representing Linear Programs by Graph Neural Networks. Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin. Learning to optimize is a rapidly growing area that aims to solve optimization problems or improve existing optimization algorithms using machine learning (ML).
Jialin Chen. Graduate Student. Address: 51 Prospect Street, New Haven, CT 06511. jialin.chen@yale.edu.
