| 2025 | Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces. | Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu |
| 2025 | Robust Sparsification via Sensitivity. | Chansophea Wathanak In, Yi Li, David P. Woodruff, Xuan Wu |
| 2025 | QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration. | Hamid Reza Imani, Jiaxin Peng, Peiman Mohseni, Abdolah Amirany, Tarek A. El-Ghazawi |
| 2025 | Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions. | Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park |
| 2025 | Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion. | Minsung Hwang, Jaejun Lee, Joyce Jiyoung Whang |
| 2025 | TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. | Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan |
| 2025 | D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples. | Zijing Hu, Fengda Zhang, Kun Kuang |
| 2025 | Test-Time Learning for Large Language Models. | Jinwu Hu, Zitian Zhang, Guohao Chen, Xutao Wen, Chao Shuai, Wei Luo, Bin Xiao, Yuanqing Li, Mingkui Tan |
| 2025 | sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models. | Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, Gerald T. Quon |
| 2025 | IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction. | Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue |
| 2025 | Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling. | Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu |
| 2025 | Constrained Online Convex Optimization with Polyak Feasibility Steps. | Spencer Hutchinson, Mahnoosh Alizadeh |
| 2025 | Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation. | Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu |
| 2025 | Understanding Generalization in Quantum Machine Learning with Margins. | Tak Hur, Daniel K. Park |
| 2025 | Editable Concept Bottleneck Models. | Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang |
| 2025 | From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control. | Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu |
| 2025 | Stochastic Deep Restoration Priors for Imaging Inverse Problems. | Yuyang Hu, Albert Peng, Weijie Gan, Peyman Milanfar, Mauricio Delbracio, Ulugbek S. Kamilov |
| 2025 | Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners. | Hung Manh Pham, Aaqib Saeed, Dong Ma |
| 2025 | Explicit Discovery of Nonlinear Symmetries from Dynamic Data. | Lexiang Hu, Yikang Li, Zhouchen Lin |
| 2025 | Explicit Preference Optimization: No Need for an Implicit Reward Model. | Xiangkun Hu, Lemin Kong, Tong He, David Wipf |
| 2025 | EPIC: Efficient Position-Independent Caching for Serving Large Language Models. | Junhao Hu, Wenrui Huang, Weidong Wang, Haoyi Wang, Tiancheng Hu, Qin Zhang, Hao Feng, Xusheng Chen, Yizhou Shan, Tao Xie |
| 2025 | Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation. | Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan |
| 2025 | Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincar-Hopf Theorem. | In Huh, Changwook Jeong, Muhammad Alam |
| 2025 | VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians. | Pengchong Hu, Zhizhong Han |
| 2025 | Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations. | Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen |