Improving Deep Learning by Regularized Scale-Free MSE of Representations. - Xufang Luo; Mingyang Yi; Yunhong Wang 001 (ICONIP (1), 2019)

BN-invariant Sharpness Regularizes the Training Model to Better Generalization. - Mingyang Yi; Huishuai Zhang; Wei Chen 034; Zhi-Ming Ma; Tie-Yan Liu (IJCAI, 2019)

Positively Scale-Invariant Flatness of ReLU Neural Networks. - Mingyang Yi; Qi Meng; Wei Chen 034; Zhi-Ming Ma; Tie-Yan Liu (CoRR, 2019)

Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape. - Mingyang Yi; Ruoyu Wang 016; Zhi-Ming Ma (CoRR, 2020)

Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. - Mingyang Yi; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Zhi-Ming Ma (ICLR, 2021)

Improved OOD Generalization via Adversarial Training and Pretraing. - Mingyang Yi; Lu Hou 002; Jiacheng Sun; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Zhiming Ma (ICML, 2021)

Towards Accelerating Training of Batch Normalization: A Manifold Perspective. - Mingyang Yi; Qi Meng; Wei Chen 034; Zhi-Ming Ma (CoRR, 2021)

Improved OOD Generalization via Adversarial Training and Pre-training. - Mingyang Yi; Lu Hou 002; Jiacheng Sun; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Zhi-Ming Ma (CoRR, 2021)

Towards the Generalization of Contrastive Self-Supervised Learning. - Weiran Huang 001; Mingyang Yi; Xuyang Zhao (CoRR, 2021)

Out-of-distribution Generalization with Causal Invariant Transformations. - Ruoyu Wang 016; Mingyang Yi; Zhitang Chen; Shengyu Zhu 001 (CVPR, 2022)

Characterization of Excess Risk for Locally Strongly Convex Population Risk. - Mingyang Yi; Ruoyu Wang 016; Zhi-Ming Ma (NeurIPS, 2022)

Accelerating training of batch normalization: A manifold perspective. - Mingyang Yi (UAI, 2022)

Improved OOD Generalization via Conditional Invariant Regularizer. - Mingyang Yi; Ruoyu Wang 016; Jiacheng Sun; Zhenguo Li; Zhi-Ming Ma (CoRR, 2022)

Stabilize deep ResNet with a sharp scaling factor τ. - Huishuai Zhang; Da Yu; Mingyang Yi; Wei Chen 034; Tie-Yan Liu (Mach. Learn., 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)

Towards the Generalization of Contrastive Self-Supervised Learning. - Weiran Huang 001; Mingyang Yi; Xuyang Zhao; Zihao Jiang 005 (ICLR, 2023)

Breaking Correlation Shift via Conditional Invariant Regularizer. - Mingyang Yi; Ruoyu Wang 016; Jiacheng Sun; Zhenguo Li; Zhi-Ming Ma (ICLR, 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 (NeurIPS, 2023)

On the Generalization of Diffusion Model. - Mingyang Yi; Jiacheng Sun; Zhenguo Li (CoRR, 2023)

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. - Yi Xin 003; Siqi Luo; Xuyang Liu; Yuntao Du 001; Haodi Zhou; Xinyu Cheng; Christina E. Lee; Junlong Du; Haozhe Wang 002; Mingcai Chen; Ting Liu; Guimin Hu; et al. (NeurIPS, 2024)

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

Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space. - Mingyang Yi; Bohan Wang (CoRR, 2024)

Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. - Aoxue Li; Mingyang Yi; Zhenguo Li (CoRR, 2024)

Improved Diffusion-based Generative Model with Better Adversarial Robustness. - Zekun Wang 001; Mingyang Yi; Shuchen Xue; Zhenguo Li; Ming Liu 004; Bing Qin 001; Zhiming Ma (ICLR, 2025)

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms. - Xuerui Su; Yue Wang 017; Jinhua Zhu 001; Mingyang Yi; Feng Xu; Zhiming Ma; Yuting Liu 002 (CoRR, 2025)

Reward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised Rewards. - Yuxin Zhang; Meihao Fan; Ju Fan; Mingyang Yi; Yuyu Luo; Jian Tan 001; Guoliang Li 001 (CoRR, 2025)

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning. - Siqi Luo; Haoran Yang; Yi Xin 003; Mingyang Yi; Guangyang Wu; Guangtao Zhai; Xiaohong Liu 001 (CoRR, 2025)