Chao Wu
Orcid: 0000-0002-7829-1413Affiliations:
- Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- City University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2020)
According to our database1,
Chao Wu
authored at least 19 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Automated Optical Accelerator Search Toward Superior Acceleration Efficiency, Inference Robustness, and Development Speed.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024
CoRR, 2024
2023
Microprocess. Microsystems, 2023
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
RLAlloc: A Deep Reinforcement Learning-Assisted Resource Allocation Framework for Enhanced Both I/O Throughput and QoS Performance of Multi-Streamed SSDs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023
2022
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices.
CoRR, 2022
2021
Pattern-Guided File Compression with User-Experience Enhancement for Log-Structured File System on Mobile Devices.
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021
2020
Boosting User Experience via Foreground-Aware Cache Management in UFS Mobile Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs.
IEEE Trans. Computers, 2020
Machine learning assisted OSP approach for improved QoS performance on 3D charge-trap based SSDs.
Int. J. Intell. Syst., 2020
2019
Reinforcement Learning based Background Segment Cleaning for Log-structured File System on Mobile Devices.
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019
2018
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs: work-in-progress.
Proceedings of the International Conference on Compilers, 2018
2017
ACM Trans. Embed. Comput. Syst., 2017
2016
Proceedings of the 5th Non-Volatile Memory Systems and Applications Symposium, 2016
Proceedings of the 8th USENIX Workshop on Hot Topics in Storage and File Systems, 2016
Proceedings of the 2016 International Conference on Embedded Software, 2016