| 2024 | Enhancing ADS Testing: An Open Educational Resource for Metamorphic Testing. | Yifan Zhang, Dave Towey, Matthew Pike, Zhi Quan Zhou, Tsong Yueh Chen |
| 2024 | Enabling Effective Metamorphic- Relation Generation by Novice Testers: A Pilot Study. | Yifan Zhang, Dave Towey, Matthew Pike |
| 2024 | Empirical Study on GitHub Issue Report Templates. | Jin Zhang, Maoqi Peng, Yang Zhang |
| 2024 | Performability Modeling and Analysis for Real-Time Object Detection on UAV Systems. | Qingyang Zhang, Fumio Machida, Ermeson C. Andrade |
| 2024 | CodeFuse: Multimodal Code Search Model with Fine-Grained Attention Alignment. | Shengnan Zhang, Shuiyan Li, Rongzhi Qi, Xiaofeng Zhou |
| 2024 | Enhancing Security of Generalization Methods Based on m-Invariance for Dynamic Data Publication. | Fusu Zhang, Yoko Kamidoi, Shin'ichi Wakabayashi |
| 2024 | Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks. | Jingyu Zhang, Jacky Keung, Xiaoxue Ma, Xiangyu Li, Yan Xiao, Yishu Li, Wing Kwong Chan |
| 2024 | Audio Steganography Based Backdoor Attack for Speech Recognition Software. | Mengyuan Zhang, Shunhui Ji, Hanbo Cai, Hai Dong, Pengcheng Zhang, Yunhe Li |
| 2024 | A Learning-Based and Network-Aware Power Management for Mobile Devices. | Jin Zhang, Jiangjie Huang, Long Peng, Xiaodong Liu, Jie Yu, Wenzhu Wang |
| 2024 | Blurred Facial Recognition Based on AdaFace. | Quan-Bin Zhang, Po-Yang Chi, Shang-Ze Lin, Chia-Xsuan Wu, Yi-Zeng Hsieh |
| 2024 | EdgeFL: A Lightweight Decentralized Federated Learning Framework. | Hongyi Zhang, Jan Bosch, Helena Holmstrm Olsson |
| 2024 | Advanced ML Approaches to PGx Recommendations in Precision Medicine. | Michael Zastrozhin, Danika Gupta, Nisha Talagala, Jason Akram, Roman Grachev, Allan Gobbs, Nasreen Karaf, Alex Timoshenko |
| 2024 | Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation. | Saika Zaman, Sajedul Talukder, Md. Zarif Hossain, Sai Puppala, Ahmed Imteaj |
| 2024 | Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures. | Mohammad Zaeed, Tanzima Z. Islam, Vladimir Indic |
| 2024 | Textual Differential Privacy for Context-Aware Reasoning with Large Language Model. | Junwei Yu, Jieyu Zhou, Yepeng Ding, Lingfeng Zhang, Yuheng Guo, Hiroyuki Sato |
| 2024 | Sequential Recommendation with Temporal Influence Based on Hawkes Process. | Peiji Yu, Tianxing Wu, Dongjing Wang, Dengwei Xu |
| 2024 | Multivariate Time-Series Anomaly Detection in IoT with a Bi-Dual GM GRU Autoencoder. | Yuan-Cheng Yu, Yen-Chieh Ouyang, Ling-Wei Wu, Chun-An Lin, Kuo-Yu Tsai |
| 2024 | Enhancing Crime Investigation: Attention-Based GAN for Sketch-to-Portrait Conversion. | Sheng Yun, Haoran Xue, Xueqing Zhang, Junkai Zhang, Yijun Zhao |
| 2024 | Trusted Off-Chain Machine Learning Scheme Based on ZK -SNARK and Oracle. | Zehui Yuan, Xue Zeng, Libo Feng, Xian Deng, Zhixing Zhang, Peng Wu, Fake Fang, Jiale Xie |
| 2024 | Boundary-Guided Black-Box Fairness Testing. | Ziqiang Yin, Wentian Zhao, Tian Song |
| 2024 | MT-PART: Metamorphic-Testing-Based Adaptive Random Testing Through Partitioning. | Zhihao Ying, Dave Towey, Tsong Yueh Chen, Zhi Quan Zhou |
| 2024 | Application of a Bacterial Image Analysis System for Antibiotic Susceptibility Test Detection. | Cheng-Yu Ye, Cheng-Kai Huang, Meng-Hua Yen |
| 2024 | An Empirical Study on AI-Powered Edge Computing Architectures for Real-Time IoT Applications. | Awatif Yasmin, Tarek Mahmud, Minakshi Debnath, Anne H. H. Ngu |
| 2024 | Training Sequential CAG Segmentation Models Without Labeled CAG Video Data. | Ting-Chia Yao, Kai-Wen Lin, Chih-Kuo Lee, Po-Hsuan Tseng, Che-Rung Lee |
| 2024 | Interlinking Clinical Guidelines via Mining Medical Literature Knowledge for Multi-Morbidity Decision-Making. | Hang Yang, Liang Xiao, Rujun Zhu, Ziji Liu, Jianxia Chen |