Ji Zhang
Orcid: 0000-0002-3770-1463Affiliations:
- Huazhong University of Science and Technology, HUST, Wuhan National Laboratory for Optoelectronics, China
- New York University, Center for Data Science, NY, USA
- University of Amsterdam, Netherlands
According to our database1,
Ji Zhang
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
SLAP: Segmented Reuse-Time-Label Based Admission Policy for Content Delivery Network Caching.
ACM Trans. Archit. Code Optim., June, 2024
HyperDB: a Novel Key Value Store for Reducing Background Traffic in Heterogeneous SSD Storage.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Speal: Achieving a More Accurate Model with Less Training Data in Performance Evaluation of Storage System through Sampling Optimization.
Proceedings of the Database Systems for Advanced Applications, 2024
2023
SPAE: Lifelong disk failure prediction via end-to-end GAN-based anomaly detection with ensemble update.
Future Gener. Comput. Syst., November, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2021
$\hbox {CDBTune}^{+}$: An efficient deep reinforcement learning-based automatic cloud database tuning system.
VLDB J., 2021
2020
Minority Disk Failure Prediction Based on Transfer Learning in Large Data Centers of Heterogeneous Disk Systems.
IEEE Trans. Parallel Distributed Syst., 2020
HDDse: Enabling High-Dimensional Disk State Embedding for Generic Failure Detection System of Heterogeneous Disks in Large Data Centers.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020
Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning.
Proceedings of the 2019 International Conference on Management of Data, 2019
Transfer Learning based Failure Prediction for Minority Disks in Large Data Centers of Heterogeneous Disk Systems.
Proceedings of the 48th International Conference on Parallel Processing, 2019