Change-Point Detection of Gaussian Graph Signals with Partial Information. - Yanxi Chen 001; Xianghui Mao; Dan Ling; Yuantao Gu (ICASSP, 2018)

Subspace Change-Point Detection: A New Model and Solution. - Yuchen Jiao; Yanxi Chen 001; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2018)

Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. - Yanxi Chen 001; Gen Li 005; Yuantao Gu (IEEE Signal Process. Lett., 2018)

Learning Mixtures of Low-Rank Models. - Yanxi Chen 001; Cong Ma 001; H. Vincent Poor; Yuxin Chen 002 (IEEE Trans. Inf. Theory, 2021)

Learning Mixtures of Linear Dynamical Systems. - Yanxi Chen 001; H. Vincent Poor (ICML, 2022)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. - Gen Li 005; Yanxi Chen 001; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (CoRR, 2023)

Ranking from Pairwise Comparisons in General Graphs and Graphs with Locality. - Yanxi Chen 001 (CoRR, 2023)

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ICML, 2024)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm. - Mohamed Seif; Yanxi Chen 001 (CoRR, 2024)

On the Design and Analysis of LLM-Based Algorithms. - Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. - Mohamed Seif; Yanxi Chen 001; Andrea J. Goldsmith; H. Vincent Poor (IEEE J. Sel. Areas Inf. Theory, 2024)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. - Gen Li 005; Yanxi Chen 001; Yu Huang 023; Yuejie Chi; H. Vincent Poor; Yuxin Chen 002 (SIAM J. Optim., 2025)

Enhancing Latent Computation in Transformers with Latent Tokens. - Yuchang Sun 001; Yanxi Chen 001; Yaliang Li; Bolin Ding (CoRR, 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. - Wenhao Zhang; Yuexiang Xie; Yuchang Sun 001; Yanxi Chen 001; Guoyin Wang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)