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ORCIDChao Wu 0006
Person information
- affiliation: Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- affiliation (PhD 2020): City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Chao Wu — disambiguation page
- Chao Wu 0001
![[0000-0003-0885-6869]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0885-6869")
— Zhejiang University, School of Public Affairs, Hangzhou, China (and 1 more) - Chao Wu 0002 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Chao Wu 0003 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China
- Chao Wu 0004 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Chao Wu 0005 — Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, China (and 1 more)
- Chao Wu 0007 — Hunan University of Science and Technology, School of Mathematics and Computational Science, Xiangtan, China
- Chao Wu 0008 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Chao Wu 0009 — University of Michigan, Ann Arbor, MI, USA
- Chao Wu 0010 — Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Chao Wu 0011 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Chao Wu 0012 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Chao Wu 0013 — First Affiliated Hospital of Chongqing Medical University, Department of Radiology, China
- Chao Wu 0014 — NTT Laboratories, NTT Access Network Service Systems Laboratories, NTT Corporation, Tokyo, Japan
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2020 – today
- 2024
[j8]Mengquan Li, Kenli Li, Chao Wu, Gang Liu, Mingfeng Lan, Yunchuan Qin, Zhuo Tang, Weichen Liu:
Automated Optical Accelerator Search Toward Superior Acceleration Efficiency, Inference Robustness, and Development Speed. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 249-262 (2024)- [i2]Jun Liu, Chao Wu, Changdi Yang, Hao Tang, Haoye Dong, Zhenglun Kong, Geng Yuan, Wei Niu, Dong Huang, Yanzhi Wang:
Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. CoRR abs/2403.10799 (2024) - 2023
- [j7]Yangmei Zhang, Fanfan Shen, Mengquan Li, Chao Wu:
Predicting for I/O stack optimizations on cyber-physical systems. Microprocess. Microsystems 101: 104896 (2023) - [c9]Jun Liu, Chao Wu, Geng Yuan, Wei Niu, Wenbin Zhang, Houbing Herbert Song:
A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. AMC-SME 2023: 3-12 - [c8]Mengquan Li, Chao Wu, Congming Gao, Cheng Ji, Kenli Li:
RLAlloc: A Deep Reinforcement Learning-Assisted Resource Allocation Framework for Enhanced Both I/O Throughput and QoS Performance of Multi-Streamed SSDs. DAC 2023: 1-6 - 2022
- [i1]Chao Wu, Cheng Ji, Geng Yuan, Riwei Pan, Weichao Guo, Chao Yu, Zongwei Zhu, Yanzhi Wang:
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices. CoRR abs/2210.04623 (2022) - 2021
- [c7]Cheng Ji, Li-Pin Chang, Riwei Pan, Chao Wu, Congming Gao, Liang Shi, Tei-Wei Kuo, Chun Jason Xue:
Pattern-Guided File Compression with User-Experience Enhancement for Log-Structured File System on Mobile Devices. FAST 2021: 127-140 - 2020
- [j6]Zongwei Zhu, Chao Wu, Cheng Ji, Xianmin Wang:
Machine learning assisted OSP approach for improved QoS performance on 3D charge-trap based SSDs. Int. J. Intell. Syst. 35(12): 2103-2116 (2020) - [j5]Chao Wu, Cheng Ji, Qiao Li, Congming Gao, Riwei Pan, Chenchen Fu, Liang Shi, Chun Jason Xue:
Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs. IEEE Trans. Computers 69(1): 72-86 (2020) - [j4]Chao Wu, Qiao Li, Cheng Ji, Tei-Wei Kuo, Chun Jason Xue:
Boosting User Experience via Foreground-Aware Cache Management in UFS Mobile Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3263-3275 (2020) - [j3]Chao Wu, Yufei Cui, Cheng Ji, Tei-Wei Kuo, Chun Jason Xue:
Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3993-4005 (2020) - [c6]Zongwei Zhu, Chao Wu, Cheng Ji, Xianmin Wang:
Machine Learning Assisted OSP Approach for Improved QoS Performance on 3D Charge-Trap Based SSDs. ML4CS (3) 2020: 86-99
2010 – 2019
- 2019
- [c5]Chao Wu, Cheng Ji, Chun Jason Xue:
Reinforcement Learning based Background Segment Cleaning for Log-structured File System on Mobile Devices. ICESS 2019: 1-8 - 2018
- [j2]Cheng Ji, Li-Pin Chang, Chao Wu, Liang Shi, Chun Jason Xue:
An I/O Scheduling Strategy for Embedded Flash Storage Devices With Mapping Cache. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(4): 756-769 (2018) - [c4]Chao Wu, Cheng Ji, Qiao Li, Chenchen Fu, Chun Jason Xue:
Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs: work-in-progress. CASES 2018: 1:1-1:2 - 2017
- [j1]Cheng Ji, Li-Pin Chang, Liang Shi, Congming Gao, Chao Wu, Yuangang Wang, Chun Jason Xue:
Lightweight Data Compression for Mobile Flash Storage. ACM Trans. Embed. Comput. Syst. 16(5s): 183:1-183:18 (2017) - 2016
- [c3]Cheng Ji, Chao Wu, Li-Pin Chang, Liang Shi, Chun Jason Xue:
I/O scheduling with mapping cache awareness for flash based storage systems. EMSOFT 2016: 21:1-21:10 - [c2]Cheng Ji, Li-Pin Chang, Liang Shi, Chao Wu, Qiao Li, Chun Jason Xue:
An Empirical Study of File-System Fragmentation in Mobile Storage Systems. HotStorage 2016 - [c1]Chao Wu, Cheng Ji, Liang Shi, Chun Jason Xue, Bin Huang, Yuangang Wang:
Dynamic merging/splitting for better responsiveness in mobile devices. NVMSA 2016: 1-6
Coauthor Index
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last updated on 2024-04-25 02:08 CEST by the dblp team
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