Mingyang Yi - RankMe

36 papers A* 11A 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment. CoRR Xiuyu Li, Jinkai Zhang, Mingyang Yi, Yu Li, Longqiang Wang, Yue Wang, Ju Fan
2026	J	`jnl`	Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning. CoRR Yu Li, Mingyang Yi, Xiuyu Li, Ju Fan, Fuxin Jiang, Binbin Chen, Peng Li, Jie Song, Tieying Zhang
2026	J	`jnl`	Towards a Theoretical Understanding to the Generalization of RLHF. CoRR Zhaochun Li, Mingyang Yi, Yue Wang, Shisheng Cui, Yong Liu
2025	A*	`conf`	Improved Diffusion-based Generative Model with Better Adversarial Robustness. ICLR Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma
2025	J	`jnl`	Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
2025	J	`jnl`	Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms. CoRR Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu
2025	J	`jnl`	Reward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised Rewards. CoRR Yuxin Zhang, Meihao Fan, Ju Fan, Mingyang Yi, Yuyu Luo, Jian Tan, Guoliang Li
2025	J	`jnl`	TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning. CoRR Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu
2024	J	`jnl`	Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space. CoRR Mingyang Yi, Bohan Wang
2024	J	`jnl`	Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion. CoRR Aoxue Li, Mingyang Yi, Zhenguo Li
2024	A*	`conf`	Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. NeurIPS Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
2024	J	`jnl`	Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model. CoRR Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
2024	A*	`conf`	V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 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
2023	A*	`conf`	Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023	J	`jnl`	On the Generalization of Diffusion Model. CoRR Mingyang Yi, Jiacheng Sun, Zhenguo Li
2023	A*	`conf`	SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023	J	`jnl`	SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023	A*	`conf`	Towards the Generalization of Contrastive Self-Supervised Learning. ICLR Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang
2022	A	`conf`	Accelerating training of batch normalization: A manifold perspective. UAI Mingyang Yi
2022	A*	`conf`	Characterization of Excess Risk for Locally Strongly Convex Population Risk. NeurIPS Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
2022	J	`jnl`	Improved OOD Generalization via Conditional Invariant Regularizer. CoRR Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2022	A*	`conf`	Out-of-distribution Generalization with Causal Invariant Transformations. CVPR Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
2022	J	`jnl`	Out-of-distribution Generalization with Causal Invariant Transformations. CoRR Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu
2022	J	`jnl`	Stabilize deep ResNet with a sharp scaling factor τ. Mach. Learn. Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu
2022	J	`jnl`	WER-Net: A New Lightweight Wide-Spectrum Encoding and Reconstruction Neural Network Applied to Computational Spectrum. Sensors Xinran Ding, Lin Yang, Mingyang Yi, Zhiteng Zhang, Zhen Liu, Huaiyuan Liu
2021	J	`jnl`	BN-invariant sharpness regularizes the training model to better generalization. CoRR Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2021	J	`jnl`	Improved OOD Generalization via Adversarial Training and Pre-training. CoRR Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
2021	A*	`conf`	Improved OOD Generalization via Adversarial Training and Pretraing. ICML Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma
2021	A*	`conf`	Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
2021	J	`jnl`	Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
2021	J	`jnl`	Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma
2021	J	`jnl`	Towards the Generalization of Contrastive Self-Supervised Learning. CoRR Weiran Huang, Mingyang Yi, Xuyang Zhao
2020	J	`jnl`	Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape. CoRR Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
2019	A*	`conf`	BN-invariant Sharpness Regularizes the Training Model to Better Generalization. IJCAI Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2019	—	`conf`	Improving Deep Learning by Regularized Scale-Free MSE of Representations. ICONIP (1) Xufang Luo, Mingyang Yi, Yunhong Wang
2019	J	`jnl`	Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu