Search results
Results: 230
Number of items: 230
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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 -
Xin, R., Wang, J., Chen, P., & Zhao, Z. (2025). Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review. ACM Computing Surveys, 57(5), Article 115. https://doi.org/10.1145/3701740 -
Jiang, W., Luo, T., Liang, Z., Chen, K., He, J., Zhao, Z., Wen, J., Zhao, L., & Song, W. (2024). FBENet: Feature-Level Boosting Ensemble Network for Hashimoto’s Thyroiditis Ultrasound Image Classification. IEEE Journal of Biomedical and Health Informatics, 28(9), 5360–5369. https://doi.org/10.1109/jbhi.2024.3414389 -
Wang, Y., Kanwal, N., Engan, K., Rong, C., Grosso, P., & Zhao, Z. (2024). PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. In J. Carretero, S. Shende, J. Garcia-Blas, I. Brandic, K. Olcoz, & M. Schreiber (Eds.), Euro-Par 2024: Parallel Processing: 30th European Conference on Parallel and Distributed Processing, Madrid, Spain, August 26–30, 2024 : proceedings (Vol. I, pp. 210-224). (Lecture Notes in Computer Science; Vol. 14801), (Advanced Research in Computing and Software Science). Springer. https://doi.org/10.1007/978-3-031-69577-3_15 -
Zhu, P., Li, N., & Zhao, Z. (2024). Retrieval-augmented Query Reformulation for Heterogeneous Research Asset Retrieval in Virtual Research Environment. In WWW '24 Companion: Companion proceedings of the ACM Web Conference 2024 : May 13-17, 2024, Singapore, Singapore (pp. 907–910). The Association for Computing Machinery. https://doi.org/10.1145/3589335.3651553 -
Jiang, W., Chen, K., Liang, Z., Luo, T., Yue, G., Zhao, Z., Song, W., Zhao, L., & Wen, J. (2024). HT-RCM: Hashimoto's Thyroiditis Ultrasound Image Classification Model Based on Res-FCT and Res-CAM. IEEE Journal of Biomedical and Health Informatics, 28(2), 941-951. https://doi.org/10.1109/JBHI.2023.3331944 -
Cheng, L., Wang, Y., Cheng, F., Liu, C., Zhao, Z., & Wang, Y. (2024). A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling. IEEE Transactions on Sustainable Computing, 9(3), 422-432. https://doi.org/10.1109/TSUSC.2023.3303898 -
Hou, S., Wang, Y., & Zhao, Z. (2024). CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. In EScience '24 proceedings: 2024 IEEE 20th International Conference on e-Science (e-Science) : September 16-20, 2024, Osaka, Japan (pp. 299-300). IEEE. https://doi.org/10.1109/e-science62913.2024.10678683 -
van de Kamp, R., Bakker, K., & Zhao, Z. (2024). Paving the Path Towards Platform Engineering Using a Comprehensive Reference Model. In T. Prince Sales, S. de Kinderen, H. A. Proper, L. Pufahl, D. Karastoyanova, & M. van Sinderen (Eds.), Enterprise Design, Operations, and Computing. EDOC 2023 Workshops: IDAMS, iRESEARCH, MIDas4CS, SoEA4EE, EDOC Forum, Demonstrations Track and Doctoral Consortium, Groningen, The Netherlands, October 30–November 3, 2023 : revised selected papers (pp. 177–193). (Lecture Notes in Business Information Processing; Vol. 498). Springer. https://doi.org/10.1007/978-3-031-54712-6_11
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