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ORCIDYanxi Chen 0001
Person information
- affiliation (since 2023): Alibaba Group
- affiliation (2018-2023): Princeton University, Department of Electrical and Computer Engineering, Princeton, NJ, USA
- affiliation (2014-2018): Tsinghua University, Beijing, China
Other persons with the same name
- Yanxi Chen (aka: Yan-Xi Chen) — disambiguation page
- Yanxi Chen 0002 — Arizona State University, School of Computing and Augmented Intelligence, Tempe, AZ, USA
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2020 – today
- 2026
[i17]Weijie Shi, Yanxi Chen, Zexi Li, Xuchen Pan, Yuchang Sun, Jiajie Xu, Xiaofang Zhou, Yaliang Li:
R3L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivotal Credit, and Positive Amplification. CoRR abs/2601.03715 (2026)- [i16]Shumin Wang, Yuexiang Xie, Wenhao Zhang, Yuchang Sun, Yanxi Chen, Yaliang Li, Yanyong Zhang:
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models. CoRR abs/2602.03392 (2026) - [i15]Tianyi Hu, Qingxu Fu, Yanxi Chen, Zhaoyang Liu, Bolin Ding:
SeeUPO: Sequence-Level Agentic-RL with Convergence Guarantees. CoRR abs/2602.06554 (2026) - 2025
- [j6]Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi
, H. Vincent Poor, Yuxin Chen:
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. SIAM J. Optim. 35(2): 1330-1363 (2025) - [j5]Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights. Trans. Mach. Learn. Res. 2025 (2025) - [i14]Yuchang Sun, Yanxi Chen, Yaliang Li, Bolin Ding:
Enhancing Latent Computation in Transformers with Latent Tokens. CoRR abs/2505.12629 (2025) - [i13]Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. CoRR abs/2505.17826 (2025) - [i12]Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou:
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. CoRR abs/2508.11408 (2025) - [i11]Chaorui Yao, Yanxi Chen, Yuchang Sun, Yushuo Chen, Wenhao Zhang, Xuchen Pan, Yaliang Li, Bolin Ding:
Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends. CoRR abs/2509.24203 (2025) - 2024
- [j4]Mohamed Seif, Yanxi Chen, Andrea J. Goldsmith, H. Vincent Poor:
Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. IEEE J. Sel. Areas Inf. Theory 5: 331-346 (2024) - [c3]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. ICML 2024: 7163-7189 - [i10]Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR abs/2402.00518 (2024) - [i9]Mohamed Seif, Yanxi Chen:
Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm. CoRR abs/2405.19559 (2024) - [i8]Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
On the Design and Analysis of LLM-Based Algorithms. CoRR abs/2407.14788 (2024) - [i7]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. CoRR abs/2411.19477 (2024) - 2023
- [i6]Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. CoRR abs/2301.13006 (2023) - [i5]Yanxi Chen:
Ranking from Pairwise Comparisons in General Graphs and Graphs with Locality. CoRR abs/2304.06821 (2023) - [i4]Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR abs/2312.04916 (2023) - 2022
- [c2]Yanxi Chen, H. Vincent Poor:
Learning Mixtures of Linear Dynamical Systems. ICML 2022: 3507-3557 - [i3]Yanxi Chen, H. Vincent Poor:
Learning Mixtures of Linear Dynamical Systems. CoRR abs/2201.11211 (2022) - 2021
- [j3]Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. IEEE Trans. Inf. Theory 67(7): 4613-4636 (2021) - 2020
- [i2]Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. CoRR abs/2009.11282 (2020)
2010 – 2019
- 2018
- [j2]Yuchen Jiao, Yanxi Chen, Yuantao Gu:
Subspace Change-Point Detection: A New Model and Solution. IEEE J. Sel. Top. Signal Process. 12(6): 1224-1239 (2018) - [j1]Yanxi Chen, Gen Li, Yuantao Gu:
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. IEEE Signal Process. Lett. 25(2): 164-168 (2018) - [c1]Yanxi Chen, Xianghui Mao, Dan Ling, Yuantao Gu:
Change-Point Detection of Gaussian Graph Signals with Partial Information. ICASSP 2018: 3934-3938 - 2017
- [i1]Yanxi Chen, Gen Li, Yuantao Gu:
Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. CoRR abs/1708.04764 (2017)
Coauthor Index
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