フォロー
Chao Wu
Chao Wu
確認したメール アドレス: njust.edu.cn - ホームページ
タイトル
引用先
引用先
An empirical study of {File-System} fragmentation in mobile storage systems
C Ji, LP Chang, L Shi, C Wu, Q Li, CJ Xue
8th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 16), 2016
512016
Lightweight data compression for mobile flash storage
C Ji, LP Chang, L Shi, C Gao, C Wu, Y Wang, CJ Xue
ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-18, 2017
252017
{Pattern-Guided} File Compression with {User-Experience} Enhancement for {Log-Structured} File System on Mobile Devices
C Ji, LP Chang, R Pan, C Wu, C Gao, L Shi, TW Kuo, CJ Xue
19th USENIX Conference on File and Storage Technologies (FAST 21), 127-140, 2021
202021
Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs
C Wu, C Ji, Q Li, C Gao, R Pan, C Fu, L Shi, CJ Xue
IEEE Transactions on Computers 69 (1), 72-86, 2019
152019
An I/O scheduling strategy for embedded flash storage devices with mapping cache
C Ji, LP Chang, C Wu, L Shi, CJ Xue
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
122017
Pruning deep reinforcement learning for dual user experience and storage lifetime improvement on mobile devices
C Wu, Y Cui, C Ji, TW Kuo, CJ Xue
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
102020
Boosting user experience via foreground-aware cache management in UFS mobile devices
C Wu, Q Li, C Ji, TW Kuo, CJ Xue
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
102020
Reinforcement learning based background segment cleaning for log-structured file system on mobile devices
C Wu, C Ji, CJ Xue
2019 IEEE International Conference on Embedded Software and Systems (ICESS), 1-8, 2019
72019
Dynamic merging/splitting for better responsiveness in mobile devices
C Wu, C Ji, L Shi, CJ Xue, B Huang, Y Wang
2016 5th Non-Volatile Memory Systems and Applications Symposium (NVMSA), 1-6, 2016
72016
Machine learning assisted OSP approach for improved QoS performance on 3D charge-trap based SSDs
Z Zhu, C Wu, C Ji, X Wang
Machine Learning for Cyber Security: Third International Conference, ML4CS …, 2020
32020
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
P Dong, L Lu, C Wu, C Lyu, G Yuan, H Tang, Y Wang
Advances in Neural Information Processing Systems 36, 2024
22024
All-in-one: A highly representative dnn pruning framework for edge devices with dynamic power management
Y Gong, Z Zhan, P Zhao, Y Wu, C Wu, C Ding, W Jiang, M Qin, Y Wang
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022
22022
Maximizing i/o throughput and minimizing performance variation via reinforcement learning based i/o merging for ssds: work-in-progress
C Wu, C Ji, Q Li, C Fu, CJ Xue
Proceedings of the International Conference on Compilers, Architecture and …, 2018
22018
Predicting for I/O stack optimizations on cyber–physical systems
Y Zhang, F Shen, M Li, C Wu
Microprocessors and Microsystems 101, 104896, 2023
12023
DeltaFS: Pursuing zero update overhead via metadata-enabled delta compression for log-structured file system on mobile devices
C Wu, C Ji, G Yuan, R Pan, W Guo, C Yu, Z Zhu, Y Wang
arXiv preprint arXiv:2210.04623, 2022
12022
I/o scheduling with mapping cache awareness for flash based storage systems
C Ji, C Wu, LP Chang, L Shi, CJ Xue
Proceedings of the 13th International Conference on Embedded Software, 1-10, 2016
12016
The management software research of city lights remote management system
J Lin, C Wu, J Zhang
2010 8th World Congress on Intelligent Control and Automation, 5264-5267, 2010
12010
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
X Shen, P Dong, L Lu, Z Kong, Z Li, M Lin, C Wu, Y Wang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18944 …, 2024
2024
Efficient Pruning of Large Language Model with Adaptive Estimation Fusion
J Liu, C Wu, C Yang, H Tang, H Dong, Z Kong, G Yuan, W Niu, D Huang, ...
arXiv preprint arXiv:2403.10799, 2024
2024
EdgeOL: Efficient in-situ Online Learning on Edge Devices
S Li, G Yuan, Y Wu, Y Dai, C Wu, AK Jones, J Hu, Y Wang, X Tang
arXiv preprint arXiv:2401.16694, 2024
2024
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