Mingyang Yi

According to our database, Mingyang Yi authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model.

Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li

CoRR, 2024

Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion.

Aoxue Li, Mingyang Yi, Zhenguo Li

CoRR, 2024

Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space.

Mingyang Yi, Bohan Wang

CoRR, 2024

2023

On the Generalization of Diffusion Model.

Mingyang Yi, Jiacheng Sun, Zhenguo Li

CoRR, 2023

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Breaking Correlation Shift via Conditional Invariant Regularizer.

Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards the Generalization of Contrastive Self-Supervised Learning.

Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum.

Xinran Ding, Lin Yang, Mingyang Yi, Zhiteng Zhang, Zhen Liu, Huaiyuan Liu

Sensors, 2022

Stabilize deep ResNet with a sharp scaling factor τ.

Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

Mach. Learn., 2022

Improved OOD Generalization via Conditional Invariant Regularizer.

Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

CoRR, 2022

Accelerating training of batch normalization: A manifold perspective.

Mingyang Yi

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Characterization of Excess Risk for Locally Strongly Convex Population Risk.

Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Out-of-distribution Generalization with Causal Invariant Transformations.

Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards the Generalization of Contrastive Self-Supervised Learning.

Weiran Huang, Mingyang Yi, Xuyang Zhao

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pre-training.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

CoRR, 2021

Towards Accelerating Training of Batch Normalization: A Manifold Perspective.

Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pretraing.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

Proceedings of the 38th International Conference on Machine Learning, 2021

Reweighting Augmented Samples by Minimizing the Maximal Expected Loss.

Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape.

Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma

CoRR, 2020

2019

Positively Scale-Invariant Flatness of ReLU Neural Networks.

Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 2019

BN-invariant Sharpness Regularizes the Training Model to Better Generalization.

Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Deep Learning by Regularized Scale-Free MSE of Representations.

Xufang Luo, Mingyang Yi, Yunhong Wang

Proceedings of the Neural Information Processing - 26th International Conference, 2019