| EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism Y Chen, X Pan, Y Li, B Ding, J Zhou Proceedings of the 41st International Conference on Machine Learning, 2024 | 61 | 2024 |
| Active orthogonal matching pursuit for sparse subspace clustering Y Chen, G Li, Y Gu IEEE Signal Processing Letters 25 (2), 164-168, 2017 | 37 | 2017 |
| Subspace Change-Point Detection: A New Model and Solution Y Jiao, Y Chen, Y Gu IEEE Journal of Selected Topics in Signal Processing 12 (6), 1224-1239, 2018 | 36 | 2018 |
| On-policy rl meets off-policy experts: Harmonizing supervised fine-tuning and reinforcement learning via dynamic weighting W Zhang, Y Xie, Y Sun, Y Chen, G Wang, Y Li, B Ding, J Zhou arXiv preprint arXiv:2508.11408, 2025 | 34 | 2025 |
| Learning Mixtures of Linear Dynamical Systems Y Chen, HV Poor Proceedings of the 39th International Conference on Machine Learning, 2022 | 29 | 2022 |
| Learning mixtures of low-rank models Y Chen, C Ma, HV Poor, Y Chen IEEE Transactions on Information Theory, 2021 | 21 | 2021 |
| Provable Scaling Laws for the Test-Time Compute of Large Language Models Y Chen, X Pan, Y Li, B Ding, J Zhou The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | 16* | 2025 |
| Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights Y Chen, Y Li, B Ding, J Zhou Transactions on Machine Learning Research, 2025 | 13* | 2025 |
| Change-Point Detection of Gaussian Graph Signals with Partial Information Y Chen, X Mao, D Ling, Y Gu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Trinity-rft: A general-purpose and unified framework for reinforcement fine-tuning of large language models X Pan, Y Chen, Y Chen, Y Sun, D Chen, W Zhang, Y Xie, Y Huang, ... arXiv preprint arXiv:2505.17826, 2025 | 7 | 2025 |
| Fast computation of optimal transport via entropy-regularized extragradient methods G Li, Y Chen, Y Huang, Y Chi, HV Poor, Y Chen SIAM Journal on Optimization 35 (2), 1330-1363, 2025 | 6 | 2025 |
| EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models X Pan, Y Chen, Y Li, B Ding, J Zhou arXiv preprint arXiv:2402.00518, 2024 | 5 | 2024 |
| Differentially private sketch-and-solve for community detection via semidefinite programming M Seif, Y Chen, AJ Goldsmith, HV Poor IEEE Journal on Selected Areas in Information Theory 5, 331-346, 2024 | 3 | 2024 |
| Ranking from Pairwise Comparisons in General Graphs and Graphs with Locality Y Chen arXiv preprint arXiv:2304.06821, 2023 | 3 | 2023 |
| Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends C Yao, Y Chen, Y Sun, Y Chen, W Zhang, X Pan, Y Li, B Ding arXiv preprint arXiv:2509.24203, 2025 | 2 | 2025 |
| Enhancing Latent Computation in Transformers with Latent Tokens Y Sun, Y Chen, Y Li, B Ding arXiv preprint arXiv:2505.12629, 2025 | 1 | 2025 |
| Machine Learning and Optimization With Latent Variables Y Chen Princeton University, 2023 | 1 | 2023 |
