| 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 | 61 | 2016 |
| 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 | 34 | 2017 |
| {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 | 27 | 2021 |
| 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 | 17 | 2019 |
| 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 | 12 | 2017 |
| 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 | 11 | 2020 |
| 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 | 10 | 2020 |
| 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 | 9 | 2024 |
| 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 | 8 | 2024 |
| 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 | 8 | 2019 |
| 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 | 7 | 2022 |
| 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 | 7 | 2016 |
| 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 | 3 | 2020 |
| 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 | 2 | 2022 |
| 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 | 2 | 2018 |
| Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning S Li, C Wu, A Li, Y Wang, X Tang, G Yuan The Twelfth International Conference on Learning Representations, 2024 | 1 | 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 | 1 | 2024 |
| MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference Y Wu, Y Gong, Z Zhan, G Yuan, Y Li, Q Wang, C Wu, Y Wang 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-10, 2023 | 1 | 2023 |
| Predicting for I/O stack optimizations on cyber–physical systems Y Zhang, F Shen, M Li, C Wu Microprocessors and Microsystems 101, 104896, 2023 | 1 | 2023 |
| Automated Optical Accelerator Search Toward Superior Acceleration Efficiency, Inference Robustness and Development Speed M Li, K Li, C Wu, G Liu, M Lan, Y Qin, Z Tang, W Liu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 1 | 2023 |
