Yi, Mingyang

18 publications

NeurIPS 2025 Continuous-Time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space Mingyang Yi, Bohan Wang

ICLR 2025 Improved Diffusion-Based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

ICLRW 2025 Reveal the Mystery of DPO: The Connection Between DPO and RL Algorithms Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhi-Ming Ma, Yuting Liu

NeurIPS 2025 Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$ Bowei Zhu, Shaojie Li, Mingyang Yi, Yong Liu

NeurIPS 2025 TANDEM: Bi-Level Data Mixture Optimization with Twin Networks Jiaxing Wang, Deping Xiang, Jin Xu, Mingyang Yi, Guoqiang Gong, Zicheng Zhang, Haoran Li, Pengzhang Liu, Zhen Chen, Ke Zhang, Ju Fan, Qixia Jiang

ICCV 2025 TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu

NeurIPS 2024 Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li

NeurIPS 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

ICLR 2023 Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

NeurIPS 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

ICLR 2023 Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang

UAI 2022 Accelerating Training of Batch Normalization: A Manifold Perspective Mingyang Yi

NeurIPS 2022 Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma

CVPR 2022 Out-of-Distribution Generalization with Causal Invariant Transformations Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu

MLJ 2022 Stabilize Deep ResNet with a Sharp Scaling Factor Τ Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

ICML 2021 Improved OOD Generalization via Adversarial Training and Pretraing Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

ICLR 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

IJCAI 2019 BN-Invariant Sharpness Regularizes the Training Model to Better Generalization Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu