| 2026 | Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning. | Awatif Yasmin, Tarek Mahmud, Sana Alamgeer, Anne H. H. Ngu |
| 2026 | Agent-Orchestrated Federated Representation Learning for Non-IID Data. | Lei Yao, Tian Zhao |
| 2026 | Detection and Visualization of Vulnerability Fixes Considering Dependencies in Open Source Software. | Tomohiko Yano, Hiroki Kuzuno, Yoshiaki Shiraishi |
| 2026 | Real-Time Predictive Crowd Twin Platform by Efficient Data Assimilation. | Atsuhiro Yano, Tatsuya Amano, Hirozumi Yamaguchi |
| 2026 | Hybrid Local-Cloud Storage Optimization for Blockchain-Based IoT Systems. | Wei Yang, XiaoHua Wu, YiChang Chen, JunKai Liao, Wei Chen |
| 2026 | Semi-Online Authentication and Accounting Framework for WLAN Roaming. | Xirui Yang, Hideaki Goto, Takuo Suganuma |
| 2026 | Demand-Aware Identification of High-Fidelity Link Sets in Quantum Networks. | Shun Yamachika, Yuto Kakihara, Shota Inoue, Hiroyuki Ohsaki |
| 2026 | Saliency-Guided Knowledge Distillation for Driver-Aware Salient Object Detection. | Roksana Yahyaabadi, Soodeh Nikan |
| 2026 | Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs. | Divakar Kumar Yadav, Tian Zhao, Deepak Kumar |
| 2026 | Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference. | Divakar Kumar Yadav, Tian Zhao |
| 2026 | An Empirical Study of Turbidity Forecasting on Open Aquaponics Sensor Data. | Yipeng Xu, Lijie Zhou, Alejandro Guerra-Manzanares, Kwadwo Dompreh, Siegfried K. Yeboah, Matthew Pike |
| 2026 | Stepwise PCTL Generation with Closed-Loop Validation for Automated SysML Activity Diagram Verification. | Jia Xu, Lei Yu, Peng Wang, Li Yang, Changzhi Deng, YuSheng Liu, Dongxing Teng, Fengjun Zhang |
| 2026 | Menstrual Cycle Prediction with Wearable and Personal Historical Information: Heterogeneous Effects Across Irregularity Profiles. | Jing Xu, Dave Towey, Julienne Adwin, Hongyu Wang, Ge Zhang |
| 2026 | SD-MIL: A Two-Stage De-Noising Framework for Smart Contract Vulnerability Detection via Multi-Instance Learning. | Jiaying Xie, Yanxiang Tong, Xiao Wang, Shunhui Ji, Pengcheng Zhang |
| 2026 | Congestion-Aware Scheduling for Heterogeneous LLM-Agent Teams. | Weiqi Xie, Yuyao Li |
| 2026 | Evo-AA: Evolution-Aware Adaptation of Protein Language Models. | Yuxuan Wu, Huiqun Yu, Guisheng Fan, Hengrun Zhang |
| 2026 | From Stochastic Generation to Deterministic Logic: A Cross-Domain Survey of Prompt Engineering Across NLP, Vision, and Software Engineering. | Tianyang Wu, Hui Li, Dongcheng Li |
| 2026 | Extending HARD-Lite: Toward Scalable Hardware-Assisted Malware Detection. | Chutitep Woralert, Chen Liu |
| 2026 | A Federated Learning Approach Towards Cross-Architecture Ransomware Detection Using Low-Level Hardware Information. | Chutitep Woralert, Chen Liu |
| 2026 | Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models. | Benedict Wolff, Jacopo Bennati |
| 2026 | T-DAA: Dynamic Account Allocation for Blockchain Sharding Based on Time-Decay Weighted Graph. | Bo Wei, Zhongyong Guo, Yibing Li, Weilong Gong, Yangjie Cao |
| 2026 | History and Future of the SWEBOK Guide: Guide to the Software Engineering Body of Knowledge. | Hironori Washizaki, Mara Isabel Snchez Segura, Juan Garbajosa, Steve Tockey, Joaquim Jorge |
| 2026 | GenAI-Driven Transformation of ICT Continuing Education Program: A Case Study of "Smart SE". | Hironori Washizaki, Shoichi Okazaki, Kazunori Sakamoto, Satoshi Okuda |
| 2026 | Evidence-Based Reliability Estimation in Deep Neural Networks using Dempster-Shafer Theory. | Ahsan Waseem, Alexander Perez-Pons, Muhammad Nadeem, Hossain Shahriar, Mohammad Ashiqur Rahman |
| 2026 | ADHDPulse: A Smartphone-Based Approach to Monitor ADHD Symptom Improvement and ADHD Symptom Levels Prediction. | Shweta Ware, Allison Baun, Caleb Kwakye, Ethan Swift, Sofia Dimotsi, Peiyi Wang, Nikoloz Gvelesiani, Laura E. Knouse |