Ruoyu Sun
Orcid: 0000-0003-2487-5322Affiliations:
- Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China
- University of Illinois Urbana-Champaign, IL, USA (former)
- University of Minnesota, Department of ECE, MN, USA (PhD)
According to our database1,
Ruoyu Sun
authored at least 82 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity.
CoRR, 2024
CoRR, 2024
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity.
SIAM J. Optim., December, 2022
Math. Oper. Res., November, 2022
SIAM J. Optim., September, 2022
Artif. Intell., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Separation of Metabolites and Macromolecules for Short-TE <sup>1</sup>H-MRSI Using Learned Component-Specific Representations.
IEEE Trans. Medical Imaging, 2021
Two Symmetrized Coordinate Descent Methods Can Be O(n<sup>2)</sup> Times Slower Than the Randomized Version.
SIAM J. Optim., 2021
Worst-case complexity of cyclic coordinate descent: O(n<sup>2)</sup> gap with randomized version.
Math. Program., 2021
Towards Understanding the Impact of Model Size on Differential Private Classification.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Signal Process. Mag., 2020
Math. Oper. Res., 2020
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.
CoRR, 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
IEEE Trans. Commun., 2019
CoRR, 2019
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018
2016
IEEE Trans. Inf. Theory, 2016
Worst-case Complexity of Cyclic Coordinate Descent: $O(n^2)$ Gap with Randomized Version.
CoRR, 2016
Proceedings of the Big Data over Networks, 2016
2015
Interference Alignment Using Finite and Dependent Channel Extensions: The Single Beam Case.
IEEE Trans. Inf. Theory, 2015
Joint Downlink Base Station Association and Power Control for Max-Min Fairness: Computation and Complexity.
IEEE J. Sel. Areas Commun., 2015
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the IEEE 56th Annual Symposium on Foundations of Computer Science, 2015
2014
IEEE Signal Process. Mag., 2014
Globally optimal joint uplink base station association and power control for max-min fairness.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks.
IEEE J. Sel. Areas Commun., 2013
Two Performance-limiting Factors for Interference Alignment: Channel Diversity Order and the Number of Data Streams Per User.
CoRR, 2013
Long-term transmit point association for coordinated multipoint transmission by stochastic optimization.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013
2012
Robust SINR-Constrained MISO Downlink Beamforming: When is Semidefinite Programming Relaxation Tight?
EURASIP J. Wirel. Commun. Netw., 2012
Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogenous Networks
CoRR, 2012
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012