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ORCIDMingyang Yi
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2020 – today
- 2024
[i14]Mingyang Yi, Bohan Wang:
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space. CoRR abs/2401.13530 (2024)- [i13]Aoxue Li, Mingyang Yi, Zhenguo Li:
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. CoRR abs/2405.15313 (2024) - [i12]Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li:
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. CoRR abs/2405.15330 (2024) - 2023
- [c10]Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang:
Towards the Generalization of Contrastive Self-Supervised Learning. ICLR 2023 - [c9]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR 2023 - [c8]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 - [i11]Mingyang Yi, Jiacheng Sun, Zhenguo Li:
On the Generalization of Diffusion Model. CoRR abs/2305.14712 (2023) - [i10]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 abs/2309.05019 (2023) - 2022
- [j2]Huishuai Zhang
, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu:
Stabilize deep ResNet with a sharp scaling factor τ. Mach. Learn. 111(9): 3359-3392 (2022) - [j1]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): 6089 (2022) - [c7]Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu:
Out-of-distribution Generalization with Causal Invariant Transformations. CVPR 2022: 375-385 - [c6]Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma:
Characterization of Excess Risk for Locally Strongly Convex Population Risk. NeurIPS 2022 - [c5]Mingyang Yi:
Accelerating training of batch normalization: A manifold perspective. UAI 2022: 1128-1137 - [i9]Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu:
Out-of-distribution Generalization with Causal Invariant Transformations. CoRR abs/2203.11528 (2022) - [i8]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Improved OOD Generalization via Conditional Invariant Regularizer. CoRR abs/2207.06687 (2022) - 2021
- [c4]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR 2021 - [c3]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma:
Improved OOD Generalization via Adversarial Training and Pretraing. ICML 2021: 11987-11997 - [i7]Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma:
Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR abs/2101.02916 (2021) - [i6]Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant sharpness regularizes the training model to better generalization. CoRR abs/2101.02944 (2021) - [i5]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR abs/2103.08933 (2021) - [i4]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 abs/2105.11144 (2021) - [i3]Weiran Huang, Mingyang Yi, Xuyang Zhao:
Towards the Generalization of Contrastive Self-Supervised Learning. CoRR abs/2111.00743 (2021) - 2020
- [i2]Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma:
Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape. CoRR abs/2012.02456 (2020)
2010 – 2019
- 2019
- [c2]Xufang Luo, Mingyang Yi, Yunhong Wang:
Improving Deep Learning by Regularized Scale-Free MSE of Representations. ICONIP (1) 2019: 251-263 - [c1]Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant Sharpness Regularizes the Training Model to Better Generalization. IJCAI 2019: 4164-4170 - [i1]Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR abs/1903.02237 (2019)
Coauthor Index
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