Mingyang Yi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Invariant Representations

Diffusion Models

Top Venues

Publications

Aoxue Li, Mingyang Yi, Zhenguo Li
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. CoRR (2024)
Mingyang Yi, Bohan Wang
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space. CoRR (2024)
Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. CoRR (2024)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR (2023)
Mingyang Yi, Jiacheng Sun, Zhenguo Li
On the Generalization of Diffusion Model. CoRR (2023)
Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang
Towards the Generalization of Contrastive Self-Supervised Learning. ICLR (2023)
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR (2023)
Mingyang Yi
Accelerating training of batch normalization: A manifold perspective. UAI (2022)
Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
Out-of-distribution Generalization with Causal Invariant Transformations. CVPR (2022)
Xinran Ding, Lin Yang, Mingyang Yi, Zhiteng Zhang, Zhen Liu, Huaiyuan Liu
WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum. Sensors 22 (16) (2022)
Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
Out-of-distribution Generalization with Causal Invariant Transformations. CoRR (2022)
Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu
Stabilize deep ResNet with a sharp scaling factor τ. Mach. Learn. 111 (9) (2022)
Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
Characterization of Excess Risk for Locally Strongly Convex Population Risk. NeurIPS (2022)
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
Improved OOD Generalization via Conditional Invariant Regularizer. CoRR (2022)
Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma
Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma
Improved OOD Generalization via Adversarial Training and Pretraing. ICML (2021)
Weiran Huang, Mingyang Yi, Xuyang Zhao
Towards the Generalization of Contrastive Self-Supervised Learning. CoRR (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Improved OOD Generalization via Adversarial Training and Pre-training. CoRR (2021)
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR (2021)
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR (2021)
Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
BN-invariant sharpness regularizes the training model to better generalization. CoRR (2021)
Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape. CoRR (2020)
Xufang Luo, Mingyang Yi, Yunhong Wang
Improving Deep Learning by Regularized Scale-Free MSE of Representations. ICONIP (1) (2019)
Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
BN-invariant Sharpness Regularizes the Training Model to Better Generalization. IJCAI (2019)
Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR (2019)