| 2025 | FGNet: Feature Calibration and Guidance Refinement for Camouflaged Object Detection. | Qiang Yu, Qing Zhang, Yanjiao Shi, Qiangqiang Zhou |
| 2025 | Convolutional Self-Attention Network with Disentangled Intents for Course Sequence Recommendation. | Kai Yu, Dongjin Yu, Dongjing Wang |
| 2025 | Coarse-Grained Dynamic Differential Privacy Federated Learning based on D3QN. | Jingbo Yu, Tao Wu, Nina Shu, Huaixi Wang, Kang Yan, Lanlan Qi, Ruhao Jiang, Chao Chang |
| 2025 | Quantile Interval Prediction of Power Load Based on DCS-Optimized TCN-BiLSTM-Attention Model. | Yiyao Yu, Yifan Wang |
| 2025 | FBD: Fact-Based Debating for Fact Verification through Large Language Models. | Mufan Yu, Guozheng Rao, Xin Wang, Li Zhang, Kaijia Tian, Jiayin Zhang |
| 2025 | Enhanced Medical Visual Question Answering Using Multi-Feature Fusion and Similarity-Based Answer Selection. | Fenghua Yu, Haiwei Pan, Kejia Zhang, Haoyu Sun |
| 2025 | A Comparative Study of Graph-Based Learning Methods for Multivariate Time-Series Anomaly Detection in Cloud Microservice Applications. | Ming Yu, Kevin O'Shea, Yihan Li, Sen Yan, Mingming Liu |
| 2025 | IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu |
| 2025 | CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Yu |
| 2025 | Detection of Driver Behavioral State Based on 1D CNN-BIGRU and Graph Signal Processing. | JinTao Yu, He Liu, Tingwei Liang, XiaoWen Wang, Ke Meng |
| 2025 | Encrypted Traffic Classification with Graph Sketch-Based Traffic Representation. | Sitong Yu, Ding Li, Yanxing Guo, Ruyu Xie, Yan Zhang |
| 2025 | MoEFuse: Degradation-Aware Fusion of Infrared and Visible Images Using Mixture of Experts. | Aowei Yu, Yueyang Li, Weimiao Feng |
| 2025 | MoEFuse: Degradation-Aware Fusion of Infrared and Visible Images Using Mixture of Experts. | Aowei Yu, Yueyang Li, Weimiao Feng |
| 2025 | PrivRec: Privacy-Preserving Cross-Domain Recommendation with Enhanced Learning Strategies. | Feng Yu, Yuan Liu, Yicheng Di, Xue Wang, Yue Fang |
| 2025 | Contrastive Learning with Knowledge-Enhanced Prompts for Insider Threat Detection. | Haoyang Yu, Yunchuan Guo, Jing Wang, Mengxiang Zhu, Yongqiang Xu, Zifu Li |
| 2025 | Hybrid Visual Adapter and Drop-View Training for Change Captioning. | Ziyang Yu, Xiaodong Gu |
| 2025 | LLM-Enabled Style and Content Regularization for Personalized Text-to-Image Generation. | Anran Yu, Wei Feng, Yaochen Zhang, Xiang Li, Lei Meng, Lei Wu, Xiangxu Meng |
| 2025 | LMACA: Specific Emitter Identification via a Lightweight Noise-Robust Complex-valued Network with Multi-scale Median Augmented Channel Attention. | Kaicong Yu, Yi Fang, Jian Yang |
| 2025 | Joint Post-Training Pruning and Power-of-Two Quantization for Efficient Edge Computing. | Zongcheng Yue, Sean Longyu Ma, Chiu-Wing Sham, Chong Fu |
| 2025 | LHA: Layer-wise Hardware Acceleration of Progressive Quantizing Inference through Partial Reconfiguration for Edge Computing. | Zongcheng Yue, Sean Longyu Ma, Chiu-Wing Sham, Chong Fu |
| 2025 | Deep Quantization Retrieval of Audio Fingerprints Based on Double Contrast Learning. | Weize Yue, Liang He |
| 2025 | BDA-YOLO: Enhancing Thyroid Nodule Detection and Segmentation via Dynamic and Bidirectional Attention. | Yue Yu, Ruizuan Bao, Jingjun Gu, Zhaohan Zhang, Jiajun Bu |
| 2025 | MVBMR: Multi-View Breast Mass Recognition Network. | Hua Yuan, Ning Zhao, Shoubin Dong, Yimao Yan |
| 2025 | BMCNet-A: A Bone Marrow Cell Classification Model Based on Multi-scale Structure and Attention Mechanism. | Hua Yuan, Leyi Zhang, Shoubin Dong, Jian Luo |
| 2025 | An Adaptive Multi-Indicator Contrastive Predictive Coding Framework for Patient Representation Learning. | Hongxu Yuan, Yuzheng Yan, Xiaozhu Jing, Wuman Luo |