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Poon, L., Farshidi, S., Li, N., & Zhao, Z. (2021). Unsupervised Anomaly Detection in Data Quality Control. In Y. Chen, H. Ludwig, Y. Tu, U. Fayyad, X. Zhu, X. Hu, S. Byna, X. Liu, J. Zhang, S. Pan, V. Papalexakis, J. Wang, A. Cuzzocrea, & C. Ordonez (Eds.), 2021 IEEE International Conference on Big Data: proceedings : Dec 15-Dec 18, 2021 : virtual event (pp. 2327-2336). IEEE. https://doi.org/10.1109/BigData52589.2021.9671672
Uriarte, R. B., Zhou, H., Kritikos, K., Shi, Z., Zhao, Z., & De Nicola, R. (2021). Distributed service‐level agreement management with smart contracts and blockchain. Concurrency and Computation: Practice and Experience, 33(14), Article e5800. https://doi.org/10.1002/cpe.5800
Liu, H., Chen, P., & Zhao, Z. (2021). Towards A Robust Meta-Reinforcement Learning-Based Scheduling Framework for Time Critical Tasks in Cloud Environments. In C. A. Ardagna, C. Chang, E. Daminai, R. Ranjan, Z. Wang, R. Ward, J. Zhang, & W. Zhang (Eds.), 2021 IEEE 14th International Conference on Cloud Computing: CLOUD 2021 : proceedings : virtual conference, 5-11 September 2021 (pp. 637-647). IEEE Computer Society. https://doi.org/10.1109/CLOUD53861.2021.00082
Zhu, Z., Chen, B., Liu, W., Zhao, Y., Liu, Z., & Zhao, Z. (2021). A Cost-Quality Beneficial Cell Selection Approach for Sparse Mobile Crowdsensing with Diverse Sensing Costs. IEEE Internet of Things Journal, 8(5), 3831-3850. https://doi.org/10.1109/JIOT.2020.3024833
Ye, D., Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2021). Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model. Reliability Engineering and System Safety, 214, Article 107734. https://doi.org/10.1016/j.ress.2021.107734
Bakker, T., Van Hoof, H., & Welling, M. (2021). Experimental design for MRI by greedy policy search. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 23, pp. 18954-18966). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2020/hash/daed210307f1dbc6f1dd9551408d999f-Abstract.html
Bergers, J., Shi, Z., Korsmit, K., & Zhao, Z. (2021). DWH-DIM: A Blockchain Based Decentralized Integrity Verification Model for Data Warehouses. In Y. Xiang, Z. Wang, H. Wang, & V. Niemi (Eds.), 2021 IEEE International Conference on Blockchain : Blockchain 2021: proceedings : 6-8 December 2021, Melbourne, Australia (pp. 221-228). IEEE Computer Society. https://doi.org/10.1109/Blockchain53845.2021.00037
Kassem, J. A., Valkering, O., Belloum, A., & Grosso, P. (2021). EPI framework: Approach for traffic redirection through containerised network functions. In Proceedings, IEEE 17th International Conference on eScience: e-Science 2021 : 20-23 September 2021, online event (pp. 80-89). IEEE Computer Society. https://doi.org/10.1109/eScience51609.2021.00018
Christandl, M., Leditzky, F., Majenz, C., Smith, G., Speelman, F., & Walter, M. (2021). Asymptotic Performance of Port-Based Teleportation. Communications in Mathematical Physics, 381(2), 379-451. https://doi.org/10.1007/s00220-020-03884-0
Mesarcik, M., Boonstra, A.-J., Meijer, C., Jansen, W., Ranguelova, E., & van Nieuwpoort, R. V. (2020). LOFAR dataset for deep learning assisted data Inspection for radio astronomy [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3702430

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