| 2025 | Emotional Face-to-Speech. | Jiaxin Ye, Boyuan Cao, Hongming Shan |
| 2025 | Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs. | Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu |
| 2025 | Towards Robust Influence Functions with Flat Validation Minima. | Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen |
| 2025 | Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems. | Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng |
| 2025 | Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p. | Shengbin Ye, Meng Li |
| 2025 | Near Optimal Best Arm Identification for Clustered Bandits. | Yash, Avishek Ghosh, Nikhil Karamchandani |
| 2025 | An Analysis for Reasoning Bias of Language Models with Small Initialization. | Junjie Yao, Zhongwang Zhang, Zhi-Qin John Xu |
| 2025 | OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance. | Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu |
| 2025 | Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective. | Yunzhen Yao, Lie He, Michael Gastpar |
| 2025 | Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization. | Michael S. Yao, James C. Gee, Osbert Bastani |
| 2025 | Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration. | Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu |
| 2025 | Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning. | Wenjing Yan, Xiangyu Zhong, Xiaolu Wang, Ying-Jun Angela Zhang |
| 2025 | Heterogeneous Sufficient Dimension Reduction and Subspace Clustering. | Lei Yan, Xin Zhang, Qing Mai |
| 2025 | Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning. | Hanqi Yan, Linhai Zhang, Jiazheng Li, Zhenyi Shen, Yulan He |
| 2025 | Training High Performance Spiking Neural Network by Temporal Model Calibration. | Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport. | Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao |
| 2025 | Neural Event-Triggered Control with Optimal Scheduling. | Luan Yang, Jingdong Zhang, Qunxi Zhu, Wei Lin |
| 2025 | Enhancing Graph Invariant Learning from a Negative Inference Perspective. | Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li, Wu Jiang, Yang Wang |
| 2025 | unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning. | Yafei Yang, Zihui Zhang, Bo Yang |
| 2025 | Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning. | Zhihe Yang, Yunjian Xu, Yang Zhang |
| 2025 | One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation. | Xiaoyu Yang, Lijian Xu, Hongsheng Li, Shaoting Zhang |
| 2025 | Dimension-Free Adaptive Subgradient Methods with Frequent Directions. | Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang |
| 2025 | Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning. | Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han |
| 2025 | Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models. | Jiachen Yang, Yusong Wang, Yanmei Fang, Yunshu Dai, Fangjun Huang |
| 2025 | Non-asymptotic Error Bounds in W2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity. | Bin Yang, Xiaojie Wang |