代表性论文:
1. Cheng Ji, Li-Pin Chang, Riwei Pan, Chao Wu, Congming Gao, Liang Shi, Tei-Wei Kuo and Chun Jason Xue. Pattern-Guided File Compression with User-Experience Enhancement for Log-Structured File System on Mobile Devices. In Proceedings of USENIX Conference on File and Storage Technologies (FAST), 2021. (CCF A)
2. Cheng Ji, R. Pan, L. Chang, L. Shi, Z. Zhu, Y. Liang, T. Kuo, and C. Xue. Inspection and Characterization of App File Usage in Mobile Devices. ACM Transactions on Storage (TOS), 2020. (CCF A)
3. Cheng Ji, Li-Pin Chang, Sangwook Shane Hahn, Sungjin Lee, Riwei Pan, Liang Shi, Jihong Kim, and Jason Xue. File Fragmentation in Mobile Devices: Measurement, Evaluation, and Treatment. IEEE Transactions on Mobile Computing (TMC), 2019. (CCF A)
4. Cheng Ji, L. Chang, C. Wu, L. Shi, and C. Xue. An I/O Scheduling Strategy for Embedded Flash Storage Devices with Mapping Cache. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018. (CCF A)
5. C Ji, F Wu, Z Zhu, L Chang, H Liu, W Zhai, Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems. Journal of Systems Architecture (JSA), 2021. (CCF B)
6. Cheng Ji, Li-Pin Chang, Liang Shi, Congming Gao, Chao Wu, Yuangang Wang, and Chun Jason Xue. Lightweight Data Compression for Mobile Flash Storage. ACM Transactions on Embedded Computing Systems (TECS), 2017. (CCF B)
7. Y. Liang, C Ji (*通讯), C. Fu, R. Ausavarungnirun, Q. Li, R. Pan, S. Chen, L. Shi, T. Kuo, C. Xue, iTRIM: I/O-Aware TRIM for Improving User Experience on Mobile Devices, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021. (CCF A)
8. C. Wu, C Ji (*通讯), Q. Li, C. Gao, R. Pan, C. Fu, L. Shi, and C. Xue. Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning based I/O Merging for SSDs. IEEE Transactions on Computers (TC), 2020. (CCF A)
9. C. Wu, Y. Cui, C Ji (*通讯), T. Kuo, and C. Xue. Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices. in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020. (CCF A)
10. C. Wu, Q. Li, C Ji (*通讯), T. Kuo, and C. Xue, "Boosting User Experience via Foreground-Aware Cache Management in UFS Mobile Devices," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020. (CCF A)
11. Z Zhu, C Wu, C Ji, X Wang. Machine learning assisted OSP approach for improved QoS performance on 3D charge-trap based SSDs, International Journal of Intelligent Systems, 2021. (IF 10.312)
12. J. Cao, Z. Lian, W. Liu, Z. Zhu, C. Ji. HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. To appear in Design Automation Conference (DAC), 2021. (CCF A)
13. Z. Zhu, L. Tan, Y. Li, C. Ji. PHDFS: Optimizing I/O performance of HDFS in deep learning cloud computing platform, Journal of Systems Architecture, 2020. (CCF B)
14. Cheng Ji, Chao Wu, Li-Pin Chang, Liang Shi, and Chun Xue. I/O Scheduling with Mapping Cache Awareness for Flash Based Storage Systems. In Proceedings of International Conference on Embedded Software (EMSOFT), 2016. (CCF B)