| 2026 | LLM-Empowered Dual Exploration-Exploitation Framework for Sequential Recommendation. | Qianyang Zhu, Bo Yang, Zigu Zhou, Yimeng Lu, Wei Liu, Chenrui Chen |
| 2026 | Time-Domain Quantum Diffusion Graph Networks for fMRI in Alzheimer's Disease Diagnosis. | Haoran Zhu, Tong Yu, Chaoqun Wang, Jianjia Wang |
| 2026 | Multimodal Contrastive Enhancement Network for Cross-Ethnic Analysis of Degenerative Brain Regions in Alzheimer's Disease. | Haoran Zhu, Tong Yu, Zhen Hua, Ling Ge, Jianjia Wang |
| 2026 | Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI. | Chenrui Zhu, Louenas Bounia, Vu-Linh Nguyen, Sbastien Destercke, Arthur Hoarau |
| 2026 | SigRef: Verification-Driven Reflection for Faithful Paper-to-Code Development. | Mingyang Zhou, Quanming Yao, Lun Du, Lanning Wei, Da Zheng |
| 2026 | ReCo-MIL: Rare-Enhanced Contextual Multiple Instance Learning. | Shicheng Zhou, Zefeng Wang, Jikai Yu, Boyuan Wu, Jiayun Zhu |
| 2026 | Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization. | Yunyi Zhao, Wei Zhang, Cheng Xiang, Hongyang Du, Dusit Niyato, Shuhua Gao |
| 2026 | Bridging the Arithmetic Gap: The Cognitive Complexity Benchmark and Financial-PoT for Robust Financial Reasoning. | Boxiang Zhao, Qince Li, Zhonghao Wang, Yi Wang, Peng Cheng, Bo Lin |
| 2026 | Improving Proactive Risk-Awareness of Autonomous Driving via Trajectory Monitoring. | Xue Zhao, Xianfei Li, Pai Peng, Nanyang Ye |
| 2026 | Blind Multi-coil MRI Reconstruction Through Joint Optimization with the Diffusion Model. | Guangxin Zhao, Xinzhe Luo, Mary-Brenda Akoda, Jan Sedlacik, Chen Qin |
| 2026 | Local Autoregression with Finite-Support Random Variables for Image Generation. | Chenqiu Zhao, Anup Basu |
| 2026 | MFANet: A Lightweight Network Combining CNN and Mamba for Medical Image Segmentation. | Haozhuo Zhang, Bob Zhang, Pinxian Zeng |
| 2026 | A Low-Light Image Enhancement Framework with Adaptability of Frozen Experts. | Naixin Zhang, Ziheng Wang, Rundong Cao, Jiazhong Yu, Linsu Shi, Ziwei Liu, Sheng Cao, Yuxuan Bai, Tong Lin |
| 2026 | CoAttn-PEFT: Complementary Attention in Parameter-Efficient Fine-Tuning for Improved Adaptation and Generalization. | Chushan Zhang, Ruihan Lu, Jinguang Tong, Xuesong Li, Hongdong Li |
| 2026 | Multi-source Pseudo-Label Generation for Weakly Supervised Salient Object Detection. | Handan Zhang, Tie Liu, Yuanyuan Shang, Hui Ding, Zhuhong Shao |
| 2026 | KASH: 1-Bit Key-Value Cache Quantizaiton via Asymmetric Hashing. | Yifan Zhang, Qinghao Hu, Zhihui Wei, Jian Cheng |
| 2026 | LFG: Local Controllable 3D Generation Using Latent Flexible Grid Representation. | Kaiyi Zhang, Tian Han, Long Quan |
| 2026 | Understanding Human-Centric Dynamics Through Need-Driven Interaction Modeling. | Zimo Zhai, Manjie Xu, Wei Liang |
| 2026 | HybridFormer: Bridging Convolutional and Transformer Architectures for Enhanced Multi-scale Visual Recognition. | Xiangfei Zeng, Qingbei Guo, Hongbing Duan |
| 2026 | Automatic Segmentation for 3D Morphometric Analysis of the Mouse Brain. | Beyza Zayim, Emilia Skutunova, Taiabur Rahman, Nida Yardim, Salma Zarfaoui, Hanzala Daud, Alienor Vaudene, Binnaz Yalcin, Alain Lalande, Fabrice Mriaudeau, Stephan Collins |
| 2026 | ICAN: Information Capacity Approximate Network for Estimating Regression Model Confidence. | Shuki Zanyovka, Nir Regev, Asaf Shabtai |
| 2026 | ViTs for Action Classification in Videos: An Approach to Risky Tackle Detection in American Football Practice Videos. | Syed Ahsan Masud Zaidi, William H. Hsu, Scott Dietrich |
| 2026 | Revisiting Human-in-the-Loop Object Retrieval with Pre-trained Vision Transformers. | Kawtar Zaher, Olivier Buisson, Alexis Joly |
| 2026 | Learning Cognitive-Aware Representations for Imaging-Based Diagnosis of Alzheimer's Disease. | Huan Yu, Yanteng Zhang, Yuxiang Wei, Yibing Fu, Siyuan Mei, Qiang Liu, Vince D. Calhoun |
| 2026 | MGD-Depth: Disentangling Scene Dynamics via Multi-granularity Representation Learning. | Siting Yue, YaWei Ren, Jun Li, Kebin Peng, Sen He |