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ORCIDJi Zhang 0010
Person information
- affiliation: Huazhong University of Science and Technology, HUST, Wuhan National Laboratory for Optoelectronics, China
- affiliation: New York University, Center for Data Science, NY, USA
- affiliation: University of Amsterdam, Netherlands
Other persons with the same name
- Ji Zhang — disambiguation page
- Ji Zhang 0001
![[0000-0001-7167-6970]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7167-6970")
— University of Southern Queensland, Faculty of Health Engineering and Sciences, Toowoomba, Australia (and 1 more) - Ji Zhang 0002 — Auburn University, Department of Computer Science and Software Engineering, AL, USA
- Ji Zhang 0003 — Kaarta, Inc., Pittsburgh, PA, USA (and 1 more)
- Ji Zhang 0004 — Henan University of Science and Technology, School of Mathematics and Statistics, Luoyang, China (and 1 more)
- Ji Zhang 0005 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- Ji Zhang 0006 — Beijing Institute of Technology, School of Automation, China
- Ji Zhang 0007 — Wuhan University of Science and Technology, School of Computer Science and Technology / Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China
- Ji Zhang 0008 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Ji Zhang 0009 — Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Ji Zhang 0011 — Alibaba Group, DAMO Academy, Hangzhou, China
- Ji Zhang 0012 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Ji Zhang 0013 — Zhengzhou University, Zhengzhou, China
- Ji Zhang 0014 — Tianjin University, Tianjin, China
- Ji Zhang 0015 — Henan Polytechnic University, Jiaozuo, China
- Ji Zhang 0016 — Wuhan University, Wuhan, China
- Ji Zhang 0017 — Beijing Institute of Technology, Beijing, China
- Ji Zhang 0018 — Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- Ji Zhang 0019 — Southeast University, Nanjing, China
- Ji Zhang 0020 — China Telecom, Beijing, China
- Ji Zhang 0021 — Changzhou University, Changzhou, China
- Ji Zhang 0022 — Beijing Information Science and Technology University, Beijing, China
- Ji Zhang 0023 — University of Virginia, Charlottesville, VA, USA
- Ji Zhang 0024 — Tsinghua University, China
- Ji Zhang 0025 — North University of China, Taiyuan, China
- Ji Zhang 0026 — Massey University, Palmerston North, New Zealand
- Ji Zhang 0027 — School of Computer Science and Technology, Southwest Minzu University, China
- Ji Zhang 0028 — Taizhou People's Hospital, Taizhou, Jiangsu, China
- Ji Zhang 0029 — Zhejiang Lab, Hangzhou, China
- Ji Zhang 0030 — China Telecom Company LTD., Chendu, China
- Ji Zhang 0031 — Chongqing University, Chongqing, China
- Ji Zhang 0032 — Guizhou Normal University, Guiyang, China
- Ji Zhang 0033 — Luoyang Polytechnic, Luoyang, China
- Ji Zhang 0034 — Sichuan University, Chengdu, Sichuan, China
- Ji Zhang 0035 — Huawei Technologies, Shenzhen, Guangdong, China
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2020 – today
- 2024
[j5]Yuanzhang Wang, Fengkui Yang, Ke Zhou, Chunhua Li, Chong Liu, Ji Zhang, Zhuo Cheng:
An optimized learning-based directory placement policy with two-rounds selection in distributed file systems. Future Gener. Comput. Syst. 154: 235-250 (2024)- [j4]Ke Liu, Kan Wu, Hua Wang, Ke Zhou, Peng Wang, Ji Zhang, Cong Li:
SLAP: Segmented Reuse-Time-Label Based Admission Policy for Content Delivery Network Caching. ACM Trans. Archit. Code Optim. 21(2): 32 (2024) - [c10]Liang Bao, Hua Wang, Ke Zhou, Guangyu Zhang, Ji Zhang, Xi Peng, Qingqing Yang, Renhai Chen, Gong Zhang:
Speal: Achieving a More Accurate Model with Less Training Data in Performance Evaluation of Storage System through Sampling Optimization. DASFAA (2) 2024: 179-194 - [c9]Ruisong Zhou, Yuzhan Zhang, Chunhua Li, Ke Zhou, Peng Wang, Gong Zhang, Ji Zhang, Guangyu Zhang:
HyperDB: a Novel Key Value Store for Reducing Background Traffic in Heterogeneous SSD Storage. ICPP 2024: 453-463 - 2023
- [j3]Yu Liu, Yunchuan Guan, Tianming Jiang, Ke Zhou, Hua Wang, Guangxing Hu, Ji Zhang, Wei Fang, Zhuo Cheng, Ping Huang:
SPAE: Lifelong disk failure prediction via end-to-end GAN-based anomaly detection with ensemble update. Future Gener. Comput. Syst. 148: 460-471 (2023) - [c8]Ke Liu, Kan Wu, Hua Wang, Ke Zhou, Ji Zhang, Cong Li:
SLAP: An Adaptive, Learned Admission Policy for Content Delivery Network Caching. IPDPS 2023: 457-467 - 2022
- [c7]Chunhua Li, Man Wu, Yuhan Liu, Ke Zhou, Ji Zhang, Yunqing Sun:
SS-LRU: a smart segmented LRU caching. DAC 2022: 397-402 - [c6]Yuanzhang Wang, Fengkui Yang, Ji Zhang, Chunhua Li, Ke Zhou, Chong Liu, Zhuo Cheng, Wei Fang, Jinhu Liu:
LDPP: A Learned Directory Placement Policy in Distributed File Systems. ICPP 2022: 27:1-27:11 - [c5]Li Liu, Chunhua Li, Zhou Zhang, Yuhan Liu, Ke Zhou, Ji Zhang:
A Data-aware Learned Index Scheme for Efficient Writes. ICPP 2022: 28:1-28:11 - 2021
- [j2]Ji Zhang, Ke Zhou, Guoliang Li, Yu Liu, Ming Xie, Bin Cheng, Jiashu Xing:
$\hbox {CDBTune}^{+}$: An efficient deep reinforcement learning-based automatic cloud database tuning system. VLDB J. 30(6): 959-987 (2021) - 2020
- [j1]Ji Zhang, Ke Zhou, Ping Huang, Xubin He, Ming Xie, Bin Cheng, Yongguang Ji, Yinhu Wang:
Minority Disk Failure Prediction Based on Transfer Learning in Large Data Centers of Heterogeneous Disk Systems. IEEE Trans. Parallel Distributed Syst. 31(9): 2155-2169 (2020) - [c4]Ji Zhang, Yuanzhang Wang, Yangtao Wang, Ke Zhou, Sebastian Schelter, Ping Huang, Bin Cheng, Yongguang Ji:
Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost. DAC 2020: 1-6 - [c3]Ji Zhang, Ping Huang, Ke Zhou, Ming Xie, Sebastian Schelter:
HDDse: Enabling High-Dimensional Disk State Embedding for Generic Failure Detection System of Heterogeneous Disks in Large Data Centers. USENIX ATC 2020: 111-126
2010 – 2019
- 2019
- [c2]Ji Zhang, Ke Zhou, Ping Huang, Xubin He, Zhili Xiao, Bin Cheng, Yongguang Ji, Yinhu Wang:
Transfer Learning based Failure Prediction for Minority Disks in Large Data Centers of Heterogeneous Disk Systems. ICPP 2019: 66:1-66:10 - [c1]Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, Zekang Li:
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. SIGMOD Conference 2019: 415-432
Coauthor Index
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