| 2025 | From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering. | Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang |
| 2025 | UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance. | Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun |
| 2025 | Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead. | Shengju Yu, Yiu-ming Cheung, Siwei Wang, Xinwang Liu, En Zhu |
| 2025 | MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning. | Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao |
| 2025 | Efficient Long Context Fine-tuning with Chunk Flow. | Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin |
| 2025 | Reinforce LLM Reasoning through Multi-Agent Reflection. | Yurun Yuan, Tengyang Xie |
| 2025 | Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters. | Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei Yuan, Jun Liu |
| 2025 | Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts. | Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min |
| 2025 | Protein Structure Tokenization: Benchmarking and New Recipe. | Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala |
| 2025 | How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. | Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu |
| 2025 | CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing. | Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian |
| 2025 | Free Process Rewards without Process Labels. | Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng |
| 2025 | Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis. | Ruoxin Yuan, Guanhua Fang |
| 2025 | MARS: Unleashing the Power of Variance Reduction for Training Large Models. | Huizhuo Yuan, Yifeng Liu, Shuang Wu, Xun Zhou, Quanquan Gu |
| 2025 | Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal. | Deheng Yuan, Tao Guo, Zhongyi Huang |
| 2025 | Deep Streaming View Clustering. | Honglin Yuan, Xingfeng Li, Jian Dai, Xiaojian You, Yuan Sun, Zhenwen Ren |
| 2025 | Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms? | Yaolong Yu, Fan Yao, Sinno Jialin Pan |
| 2025 | Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning. | Minqi Yu, Jinduo Liu, Junzhong Ji |
| 2025 | Position: Editing Large Language Models Poses Serious Safety Risks. | Paul Youssef, Zhixue Zhao, Daniel Braun, Jrg Schltterer, Christin Seifert |
| 2025 | Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups. | Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong |
| 2025 | Effective and Efficient Masked Image Generation Models. | Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li |
| 2025 | Fully Heteroscedastic Count Regression with Deep Double Poisson Networks. | Spencer Young, Porter Jenkins, Longchao Da, Jeffrey Dotson, Hua Wei |
| 2025 | Radio: Rate-Distortion Optimization for Large Language Model Compression. | Sean I. Young |
| 2025 | Maximum Total Correlation Reinforcement Learning. | Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz |
| 2025 | Test-time Correlation Alignment. | Linjing You, Jiabao Lu, Xiayuan Huang |