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Publications

On the Design and Analysis of LLM-Based Algorithms
Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
arXiv preprint, 2024 (GitHub) (arXiv)

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
Yanxi Chen*, Xuchen Pan*, Yaliang Li, Bolin Ding, Jingren Zhou
ICML, 2024 (GitHub) (arXiv)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
Xuchen Pan*, Yanxi Chen*, Yaliang Li, Bolin Ding, Jingren Zhou
Technical report, 2024 (arXiv)

PhD research

Ranking from Pairwise Comparisons in General Graphs and Graphs with Locality
Yanxi Chen
Technical report, 2023 (arXiv)

Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming
Mohamed Seif, Yanxi Chen, Andrea J. Goldsmith, H. Vincent Poor
IEEE Journal on Selected Areas in Information Theory, 2024 (IEEE)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods
Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen
arXiv preprint, 2023 (arXiv)

Learning Mixtures of Linear Dynamical Systems
Yanxi Chen, H. Vincent Poor
ICML, 2022, Outstanding Paper Award (PMLR) (arXiv)

Learning Mixtures of Low-Rank Models
Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
IEEE Transactions on Information Theory, 2021 (IEEE) (arXiv)

Undergrad research

Subspace Change-Point Detection: A New Model and Solution
Yuchen Jiao, Yanxi Chen, Yuantao Gu
IEEE Journal of Selected Topics in Signal Processing, 2018

Change-Point Detection of Gaussian Graph Signals with Partial Information
Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu
IEEE ICASSP, 2018

Active Orthogonal Matching Pursuit for Sparse Subspace Clustering
Yanxi Chen, Gen Li, Yuantao Gu
IEEE Signal Processing Letters, 2018