| 2025 | Stock Prices Forecasting Using a Cerebellar Model Neural Network and Extreme Learning Machine. | Jin-Liang Zhang, Chih-Min Lin |
| 2025 | MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection. | Lizhao Zhang, Shengsong Kong, Tao Guo, Shaobo Li, Zhenzhou Ji |
| 2025 | ISC-Swin: Inter Sample Contrastive Enhancement for Swin-Transformer in Ultrasound Spine Feature Segmentation. | Chen Zhang, Wenjing Jia, Yongping Zheng, Sai Ho Ling |
| 2025 | Applying Large Language Models as Hybrid-Algorithm Experts for Job Shop Scheduling Problems. | Zhiyan Zhang, Zimo Ji, Haixuan Wang, Junkai Wang |
| 2025 | LLM-Guided Evolutionary Strategy Generation for Quantitative Trading. | Di Zhang, Zhengyong Jiang, Qiong Ji, Hengyan Liu, Tianshi Wang, Angelos Stefanidis |
| 2025 | Adaptive Time-Constrained Consensus Control for a Class of Disturbed Multi-Agent Systems. | Shen Zhang, Xiaozheng Jin, Jia Fu |
| 2025 | SAM2v-BTR: Accelerating SAM 2 Training for 3D Medical Image Segmentation Through Bootstrap and Memory Annealing. | Enzhi Zhang, Junichiro Iwasawa, Keita Oda, Yuta Tokuoka |
| 2025 | PDD: Planning Offline Meta-RL with Prompt Decision Diffuser. | Shilin Zhang, Zican Hu, Wenhao Wu, Xinyi Xie, Jiangxiang Tang, Zhi Wang |
| 2025 | Solving the Circular Disassembly Line Balancing Problem in Shifts Considering Human Learning Effect Based on IMPALA Algorithm. | Haitao Zhang, Xiwang Guo, Jiacun Wang, Shujin Qin, Bin Hu, Liang Qi, Siqi Chen, Jun Wang |
| 2025 | WaveConvX: Multi-Level Wavelet Enhancement for Histopathology Image Classification. | Yuzhe Zhang, Yi Fang, Feiran Liu, Zixuan Liu, Xibin Jia |
| 2025 | Intelligent Guidance for the Visually Impaired: A Wearable Smart Helmet System. | Junqi Zhang, Zhuowen Duan, Mingrui Yu, Wenjie Chen |
| 2025 | RCIM: Relation-Driven Collaborative and Integrative Multimodal Knowledge Graph Completion. | Ruijia Zhang, Zheng Dong, Qin Lu |
| 2025 | CD-Net: Context-Driven Ultrasound Image Enhancement, a 2.5D Approach for Scoliosis Assessment. | Chen Zhang, Sumartini Dana, Wenjing Jia, Yongping Zheng, Sai Ho Ling |
| 2025 | Advances in AI-Driven Diagnostics for Traditional Chinese Medicine: A Review of Tongue, Face, and Pulse Analysis. | Siqi Zhang, Alice Xiaodan Dong, Weidong Huang |
| 2025 | OMATE-ZT: Optimized Multi-Attribute Trust Evaluation Model for Zero-Trust in Industrial Internet of Things. | Meng Zhang, Yuliang Cheng, Hangyu Wang, Fei Lv |
| 2025 | Defending Deepfake via Texture Feature Perturbation. | Xiao Zhang, Changfang Chen, Tianyi Wang |
| 2025 | A Graph Attention-Based DRL Framework for Joint Task Offloading and Resource Allocation in Mobile Edge Computing. | Yuchen Zhang, Xin Chen, Libo Jiao, Ning Zhang, Aobo Cao, Zhekun Zhang |
| 2025 | HBRA: Heterogeneous Graph Learning for Bidirectional Marital Recommendations in Aging Societies. | Fenghao Zhang, Zesheng Cheng, Zi Jin |
| 2025 | Leveraging Learning Bias for Noisy Anomaly Detection. | Yuxin Zhang, Yunkang Cao, Yuqi Cheng, Yihan Sun, Weiming Shen |
| 2025 | Enhancing Multi-Hop Reading Comprehension through Multi-Hop Attention Diffusion with Hierarchical Graph Extensions. | Yingying Zhang, Bo Cheng |
| 2025 | Meta-Aware Learning in text-to-SQL Large Language Model. | Wenda Zhang |
| 2025 | uFedMBA: Unforgotten Personalized Federated Learning with Memory Bank for Adaptively Aggregated Layers. | Yijun Zhai, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Fang Qu, Ziyi Li, Li Gao, Youyu Luo |
| 2025 | A Privacy-Preserving Federated Learning System for Estimated Time of Arrival Prediction of Multi-Region Vehicular Trips. | Jiahui Zhai, Shen Wang |
| 2025 | Privacy-Preserving Estimated Time of Arrival Prediction with Lightweight Multi-Task Federated Learning. | Jiahui Zhai, Jing Bi, Haitao Yuan, Ziqi Wang, Hongyao Ma, Chen Wang, Jia Zhang |
| 2025 | A Triplet Optimization and Difference Detail Perception Network with Adaptive Feature Enhancement for Radiology Report Generation. | Yijie Zeng, Zhen Zhang, Wenfeng Jiang, Song Liu |