Search results
Results: 229
Number of items: 229
-
Islam, N. T., & Zhao, Z. (2026). How Good are LLMs at Retrieving Documents in a Specific Domain? In G. De Tré, S. Sotirov, J. Kacprzyk, G. Psaila, G. Smits, T. Andreasen, G. Bordogna, & H. Legind Larsen (Eds.), Flexible Query Answering Systems: 16th International Conference, FQAS 2025, Burgas, Bulgaria, September 11–13, 2025 : proceedings (pp. 277-288). (Lecture Notes in Computer Science; Vol. 16119), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-032-05607-8_26
-
Jiang, W., Wu, F., Zhang, F., Chen, Q., Zhao, Z., & Guo, S. (2026). CRL-MM: Context-Aware Relational Learning and Multidimensional Matching for Few-Shot Knowledge Graph Completion. IEEE Transactions on Neural Networks and Learning Systems, 37(3), 1405-1419. https://doi.org/10.1109/TNNLS.2025.3615900
-
Volentir, A., Soveizi, N., & Zhao, Z. (2025). Socially-Informed Jupyter Notebook Quality: A Role- and Lifecycle-Aware Metrics Framework. In 2025 25th International Conference on Software Quality, Reliability and Security Companion : QRS-C 2025: proceedings : 16-20 July 2025, Hangzhou, China (pp. 584-593). IEEE Computer Society. https://doi.org/10.1109/QRS-C65679.2025.00077 -
Zhao, Z., Kissling, W. D., Hengeveld, G. M., Athanasiadis, I., Soetaert, K., & Hof, A. (2025). A Virtual Lab Maturity Model for Guiding the Co-Development of Advanced Virtual Research Environments. In Proceedings - 19th IEEE International Conference on Service-Oriented System Engineering: 21-24 July 2025, Tucson, Arizona (pp. 20-26). (SOSE; Vol. 2025). IEEE Computer Society. https://doi.org/10.1109/SOSE67019.2025.00007 -
Li, N., Farshidi, S., & Zhao, Z. (2025). Search Multiple Types of Research Assets From Jupyter Notebook. Software - Practice and Experience, 55(5), 946-965. https://doi.org/10.1002/spe.3406 -
Wang, Y., Tripathi, S., Farshidi, S., & Zhao, Z. (2025). D-VRE: From a Jupyter-enabled Private Research Environment to Decentralized Collaborative Research Ecosystem. Blockchain: Research and Applications, 6(1), Article 100244. https://doi.org/10.1016/j.bcra.2024.100244 -
Islam, N. T., Wang, R., & Zhao, Z. (2025). Using Explainable Techniques to Enhance Chain of Thoughts in LLMs. In 2025 IEEE International Conference on eScience : eScience 2025: 15-18 September 2025, Chicago, United States : proceedings (pp. 323-324). IEEE Computer Society. https://doi.org/10.1109/eScience65000.2025.00052 -
Li, N., Qi, Y., Xin, R., Zhu, P., & Zhao, Z. (2025). Leveraging active learning for ocean data quality assessment: reducing labeling workload and addressing severe data imbalance challenges. International Journal of Data Science and Analytics, 20(5), 4777-4798. https://doi.org/10.1007/s41060-025-00751-w -
Soveizi, N., Candeias, T., Zivkovic, M., & Zhao, Z. (2025). Unsupervised Detection of Anomalous Commits in Software Repositories. In B. Bouqata, T. Seceleanu, J. Berrocal, K. El Maghaouri, & Y. Sun (Eds.), 2025 IEEE International Conference on Software Services Engineering : IEEE SSE 2025: Helsinki, Finland, 7-12 July 2025 : proceedings (pp. 31-38). IEEE Computer Society. https://doi.org/10.1109/SSE67621.2025.00013 -
Daniëlse, P., Tai, H., Ilager, S., & Zhao, Z. (2025). Investigating Efficient Edge Offloading Architectures for Serverless Systems. In 2025 IEEE International Parallel and Distributed Processing Symposium Workshops : IPDPSW 2025: 3-7 June 2025, Milan, Italy : proceedings (pp. 1035-1038). IEEE Computer Society. https://doi.org/10.1109/IPDPSW66978.2025.00161
Page 1 of 23