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2020 – today
- 2025
[c13]Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. ICLR 2025- [i16]Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu:
Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms. CoRR abs/2502.03095 (2025) - [i15]Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR abs/2502.17099 (2025) - 2024
- [c12]Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu:
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 2024 - [c11]Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li:
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. NeurIPS 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
aka: Zhi-Ming Ma
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