| 2025 | SwinFusion-XL: Multi-Scale Fusion and Cross xLSTM for Enhanced Brain Tumor Segmentation. | Zhaohan Zhang, Ruizuan Bao, Jingjun Gu, Yue Yu, Jiajun Bu |
| 2025 | Federated Distillation Meets Correlation-Based Pruning: Improving Accuracy under Differential Privacy. | Xiaoyan Zhang, Xiangyu Bai |
| 2025 | An Accurate, Explainable and Efficient Vision Transformer with Feature Selection and Class Activation Mapping. | Luna M. Zhang |
| 2025 | DMIMHD: Dynamic Modality Interaction for Multi-Modal Human Desire Understanding. | Xiangrui Zhang |
| 2025 | Multiscale Attention Knowledge Distillation for Object Detection. | Fengshuo Zhang |
| 2025 | Reinforcement Learning Distillation: Adaptive Weight Optimization for Knowledge Transfer. | Fengshuo Zhang |
| 2025 | Research on Student Classroom Behavior Recognition Method Based on RTDETR. | JingJing Zhang |
| 2025 | SAM-RAG: An Self-adaptive Framework for Multimodal Retrieval-Augmented Generation. | Wenjia Zhai |
| 2025 | Research on driving fatigue detection method based on fNIRS data and Facial Features. | Lingqiu Zeng, Li Zhong, Qingwen Han, Lei Ye, Kun Zhou, Shiyu Sun |
| 2025 | Enhancing Template-Free Retrosynthesis Prediction with Cross-Modal Fine-Grained Contrastive Learning. | Junqi Zeng, Zelin Yao, Pengyang Song, Jia Wu, Wenbin Hu |
| 2025 | BiCon : Bi-Branch Network with Contour-Enhanced Features for Class Incremental Learning. | Fengcheng Zeng, Qiming Yang, Heng Shu, Linjuan Cheng, Yuquan Wu, Chenghao Hu |
| 2025 | Fuzzy Knowledge-Driven Human-in-the-Loop Learning for Autonomous Driving. | Yiming Zeng, Yin Xu, Xichong Zhang, Xiao Huang, Mingjun Xiao |
| 2025 | PromptHR: A Humor Recognition Network Integrating Deep Commonsense Prompt Learning and Semantic Incongruity. | Xingwei Zeng, Jinta Weng, Hao Wu, Tianxin Huang, Jing Qiu, Heyan Huang |
| 2025 | CRS3D: Consistency Regularization for Sparsely-supervised 3D object detection. | Binghui Zeng, Zongyue Wang, Zhaoliang Liu, Yidong Chen, Weiquan Liu, Wentao Yang |
| 2025 | Adaptive mask attention dual branch network with multi-modal data for Alzheimer's Disease diagnosis. | An Zeng, Zhuxuan Ou, Dan Pan |
| 2025 | AD-MAE: Contrastive Learning and Masked Autoencoder for Early Alzheimer's disease classification. | An Zeng, JiaSheng Li, Dan Pan |
| 2025 | GTDFM: A Hybrid Model for QoS Prediction Using Geographical and Textual Features. | Yehong Zeng, Ruimin Lv |
| 2025 | LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment. | Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong, Yongtao Tang |
| 2025 | Enhancing Semi-Supervised Medical Image Segmentation Through Unbiased Pseudo-Labeling and Student Diversity Maximization. | Xiang Zeng, Guangxing Du, Jinming Xu, Shengwu Xiong |
| 2025 | MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation. | Yucheng Zeng |
| 2025 | Multi-Objective Battery Dispatching using an Enhanced SAC Algorithm. | Danial Zendehdel, Enrico De Santis, Antonino Capillo, Philip Odonkor, Antonello Rizzi |
| 2025 | Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models? | Christophe El Zeinaty, Wassim Hamidouche, Glenn Herrou, Daniel Mnard, Mrouane Debbah |
| 2025 | Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning. | Yifan Zang, Jinmin He, Kai Li, Junliang Xing, Jian Cheng |
| 2025 | Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER. | Andrew Zamai, Andrea Zugarini, Leonardo Rigutini, Marco Ernandes, Marco Maggini |
| 2025 | Designing Stress Response Analyzer using Composite Cardiovascular Biomarkers. | Daria Zahorska, Svetlana N. Yanushkevich, Ievgen Nastenko |