¡Hola!
I am a second-year Ph.D. student at Department of Electrical and Computer Engineering, Princeton University, advised by Prof. Jason M. Klusowski. Previously, I obtained B.Sc. in Computer Science with First Class Honours from the Chinese University of Hong Kong, with a minor in Mathematics.
My research interest lies broadly in optimization, statistics, and their association with the theoretical foundations of modern machine learning. Recently, I am in particular focused on the fundamental understanding of out-of-distribution generalization of modern language models.
My hobbies include piano, soccer (football), photography, among others.
Publications
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Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies.
Sijin Chen, Omar Hagrass, and Jason M. Klusowski,
International Conference on Learning Representations (ICLR), 2025. -
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression.
Sijin Chen, Zhize Li, and Yuejie Chi,
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. -
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method.
Sijin Chen, Xiwei Cheng, and Anthony Man-Cho So,
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. -
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector from Point Cloud.
Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, and Chi-Wing Fu,
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Teaching
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SML310: Research Projects in Data Science
Assistant in Instruction, 2024 Fall -
ORF570: Special Topics in Statistics and Operations Research: Transformers and Large Language Models
Assistant in Instruction, 2025 Spring
Awards
- Gordon Y. S. Wu Fellowship in Engineering
- Hong Kong Government Scholarship for Outstanding Performance
- VTech Group of Companies Scholarship
Professional Service
- Reviewer: International Conference on Learning Representations (ICLR)
Curriculum Vitae
View the PDF version here.