| 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 | 63 | 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 | 36 | 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 | 33 | 2021 |
| 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 | 19 | 2024 |
| 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 | 19 | 2019 |
| Robust uncertainty control of the simplified Kalman filter for acoustic echo cancelation C Wu, X Wang, Y Guo, Q Fu, Y Yan Circuits, Systems, and Signal Processing 35 (12), 4584-4595, 2016 | 18 | 2016 |
| 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 | 16 | 2024 |
| 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 | 12 | 2020 |
| 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 |
| 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 | 11 | 2020 |
| A Robust Dual-Microphone Speech Source Localization Algorithm for Reverberant Environments. Y Guo, X Wang, C Wu, Q Fu, N Ma, GJ Brown Interspeech, 3354-3358, 2016 | 11 | 2016 |
| 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 | 9 | 2022 |
| 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 |
| 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 |
| A reverberation robust target speech detection method using dual-microphone in distant-talking scene X Wang, Y Guo, C Wu, Q Fu, Y Yan Speech Communication 72, 47-58, 2015 | 6 | 2015 |
| Search for efficient large language models X Shen, P Zhao, Y Gong, Z Kong, Z Zhan, Y Wu, M Lin, C Wu, X Lin, ... arXiv preprint arXiv:2409.17372, 2024 | 4 | 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 | 4 | 2023 |
| 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 | 3 | 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 | 3 | 2024 |
| Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge Y Gong, P Zhao, Z Zhan, Y Wu, C Wu, Z Kong, M Qin, C Ding, Y Wang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 3 | 2023 |
