default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKe Zhou 0001
Person information
- affiliation (PhD 2003): Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
Other persons with the same name
- Ke Zhou — disambiguation page
- Ke Zhou 0002 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Ke Zhou 0003
![[0000-0001-7177-9152]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7177-9152")
— University of Nottingham, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c105]Difan Tan, Jiawei Li, Hua Wang, Xiaoxiao Li, Wenbo Liu, Zijin Qin, Ke Zhou, Ming Xie, Mengling Tao:
Tela: A Temporal Load-Aware Cloud Virtual Disk Placement Scheme. ASPLOS (1) 2025: 1084-1100- [i6]Yunchuan Guan, Yu Liu, Ke Zhou, Zhiqi Shen, Serge J. Belongie, Jenq-Neng Hwang, Lei Li:
Learning to Learn Weight Generation via Trajectory Diffusion. CoRR abs/2502.01117 (2025) - 2024
- [j64]Yulai Tong, Jiazhen Liu, Hua Wang, Mingjian He, Ke Zhou, Rongfeng He, Qin Zhang, Cheng Wang:
DAG-aware harmonizing job scheduling and data caching for disaggregated analytics frameworks. Future Gener. Comput. Syst. 156: 116-129 (2024) - [j63]Xing Wang, Qi-liang Wu, Gui-rong Tan, Dai-li Qian, Ke Zhou:
A forecast model of short-term wind speed based on the attention mechanism and long short-term memory. Multim. Tools Appl. 83(15): 45603-45623 (2024) - [j62]Hongyu Lei, Chunhua Li, Ke Zhou, Jianping Zhu, Kezhou Yan, Fen Xiao, Ming Xie, Jiang Wang, Shiyu Di:
X-Stor: A Cloud-native NoSQL Database Service with Multi-model Support. Proc. VLDB Endow. 17(12): 4025-4037 (2024) - [j61]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) - [j60]Peng Wang, Yu Liu, Ziqi Liu, Zhelong Zhao, Ke Liu, Ke Zhou, Zhihai Huang:
$\varepsilon$ɛ-LAP: A Lightweight and Adaptive Cache Partitioning Scheme With Prudent Resizing Decisions for Content Delivery Networks. IEEE Trans. Cloud Comput. 12(3): 942-953 (2024) - [j59]Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing. IEEE Trans. Image Process. 33: 1768-1781 (2024) - [j58]Kai Han, Yu Liu, Rukai Wei, Ke Zhou, Jinhui Xu, Kun Long:
Supervised Hierarchical Online Hashing for Cross-modal Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 103:1-103:23 (2024) - [j57]Peng Wang, Hong Jiang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang:
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks. IEEE Trans. Parallel Distributed Syst. 35(11): 1949-1963 (2024) - [c104]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 - [c103]Xiaojun Guo, Hua Wang, Ke Zhou, Hong Jiang, Yaodong Han, Guangjie Xing:
FLOWS: Balanced MRC Profiling for Heterogeneous Object-Size Cache. EuroSys 2024: 421-440 - [c102]Guangjie Xing, Shuheng Gao, Hua Wang, Ke Zhou, Yaodong Han, Mengling Tao:
VDMig: An Adaptive Virtual Disk Migration Scheme for Cloud Block Storage System. ICCD 2024: 446-453 - [c101]Rukai Wei, Heng Cui, Yu Liu, Yanzhao Xie, Yufeng Hou, Ke Zhou:
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval. ICME 2024: 1-6 - [c100]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 - [c99]Man Luo, Ke Zhou, Hua Wang, Zhibin Jiang, Han Kong, Yongguang Ji:
CAMS: A Cost-Aware Migration Scheme for Cloud Object Storage Systems. NAS 2024: 1-4 - [c98]Peng Wang, Yu Liu, Kai Han, Ziqi Liu, Ke Liu, Mingyang Wang, Ke Zhou, Zhihai Huang:
CGHit: A Content-Oriented Generative-Hit Framework for Content Delivery Networks. NAS 2024: 1-8 - [c97]Shushu Yi, Shaocong Sun, Li Peng, Yingbo Sun, Ming-Chang Yang, Zhichao Cao, Qiao Li, Myoungsoo Jung, Ke Zhou, Jie Zhang:
BIZA: Design of Self-Governing Block-Interface ZNS AFA for Endurance and Performance. SOSP 2024: 313-329 - [i5]Peng Wang, Yu Liu, Ziqi Liu, Mingyang Wang, Ke Liu, Ke Zhou, Zhihai Huang:
CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks. CoRR abs/2402.16262 (2024) - [i4]Rukai Wei, Heng Cui, Yu Liu, Yufeng Hou, Yanzhao Xie, Ke Zhou:
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval. CoRR abs/2408.05711 (2024) - [i3]Yunchuan Guan, Yu Liu, Ketong Liu, Ke Zhou, Zhiqi Shen:
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification. CoRR abs/2410.02267 (2024) - 2023
- [j56]Girum Dagnaw, Ke Zhou, Hua Wang:
SACRO : Solid state drive-assisted chunk caching for restore optimization. Concurr. Comput. Pract. Exp. 35(18) (2023) - [j55]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) - [j54]Yunchuan Guan, Yu Liu, Ke Zhou, Qiang Li, Tuanjie Wang, Hui Li:
A disk failure prediction model for multiple issues. Frontiers Inf. Technol. Electron. Eng. 24(7): 964-979 (2023) - [j53]Yanzhao Xie, Guangxing Hu, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao:
How visual chirality affects the performance of image hashing. Neural Comput. Appl. 35(12): 9003-9016 (2023) - [j52]Yanzhao Xie, Yangtao Wang, Rukai Wei, Yu Liu, Ke Zhou, Lisheng Fan:
A hash centroid construction method with Swin transformer for multi-label image retrieval. Neural Comput. Appl. 35(15): 10891-10907 (2023) - [j51]Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
Deep debiased contrastive hashing. Pattern Recognit. 139: 109483 (2023) - [j50]Yulai Tong, Jiazhen Liu, Hua Wang, Ke Zhou, Rongfeng He, Qin Zhang, Cheng Wang:
Sieve: A Learned Data-Skipping Index for Data Analytics. Proc. VLDB Endow. 16(11): 3214-3226 (2023) - [j49]Yanzhao Xie, Rukai Wei, Jingkuan Song, Yu Liu, Yangtao Wang, Ke Zhou:
Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval. IEEE Trans. Multim. 25: 9161-9174 (2023) - [c96]Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang:
Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning. CIKM 2023: 587-596 - [c95]Ke Liu, Hua Wang, Ke Zhou, Cong Li:
A Lightweight and Adaptive Cache Allocation Scheme for Content Delivery Networks. DATE 2023: 1-6 - [c94]Yibin Gu, Hua Wang, Man Luo, Jingyu Tang, Ke Zhou:
Offline and Online Algorithms for Cache Allocation with Monte Carlo Tree Search and a Learned Model. ICCD 2023: 126-133 - [c93]Guangyu Zhang, Chunhua Li, Ke Zhou, Li Liu, Ce Zhang, Wancheng Chen, Haotian Fang, Bin Cheng, Jie Yang, Jiashu Xing:
DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation. ICDE 2023: 1126-1139 - [c92]Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen:
Smart Cache Insertion and Promotion Policy for Content Delivery Networks. ICPP 2023: 183-192 - [c91]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 - [c90]Rukai Wei, Yu Liu, Jingkuan Song, Heng Cui, Yanzhao Xie, Ke Zhou:
CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing. ACM Multimedia 2023: 1677-1688 - [i2]Rukai Wei, Yu Liu, Jingkuan Song, Heng Cui, Yanzhao Xie, Ke Zhou:
CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing. CoRR abs/2310.18926 (2023) - 2022
- [j48]Yu Liu, Hua Wang, Ke Zhou, Chunhua Li, Rengeng Wu:
A survey on AI for storage. CCF Trans. High Perform. Comput. 4(3): 233-264 (2022) - [j47]Yanzhao Xie, Yangtao Wang, Yu Liu, Ke Zhou:
Label graph learning for multi-label image recognition with cross-modal fusion. Multim. Tools Appl. 81(18): 25363-25381 (2022) - [j46]Chong Wang, Hao Jin, Ronglei Wei, Ke Zhou:
Revocable, dynamic and decentralized data access control in cloud storage. J. Supercomput. 78(7): 10063-10087 (2022) - [c89]Mingjian He, Hua Wang, Ke Zhou, Kaichao Cui, Huabing Yan, Chang Guo, Rongfeng He:
DSDP: Dual Stream Data Prefetcher. PACT 2022: 372-383 - [c88]Yu Liu, Yanzhao Xie, Jingkuan Song, Rukai Wei, Ke Zhou:
Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval. APWeb/WAIM (2) 2022: 129-143 - [c87]Chunhua Li, Man Wu, Yuhan Liu, Ke Zhou, Ji Zhang, Yunqing Sun:
SS-LRU: a smart segmented LRU caching. DAC 2022: 397-402 - [c86]Yibin Gu, Yifan Li, Hua Wang, Li Liu, Ke Zhou, Wei Fang, Gang Hu, Jinhu Liu, Zhuo Cheng:
LPCA: learned MRC profiling based cache allocation for file storage systems. DAC 2022: 511-516 - [c85]Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen:
Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks. ICCD 2022: 195-202 - [c84]Peng Wang, Zhelong Zhao, Yu Liu, Ke Zhou, Zhihai Huang, Yanxiong Chen:
A Lightweight and Adaptive Cache Partitioning Scheme for Content Delivery Networks. ICCD 2022: 407-410 - [c83]Yun Zou, Xiaoyan Tan, Jingkuan Song, Ke Zhou, Fuhao Zou:
Deep Category-Aware Hashing for Object Retrieval in Multi-Label Image. ICME 2022: 1-6 - [c82]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 - [c81]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 - [c80]Baoqing Cai, Yu Liu, Ce Zhang, Guangyu Zhang, Ke Zhou, Li Liu, Chunhua Li, Bin Cheng, Jie Yang, Jiashu Xing:
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements. SIGMOD Conference 2022: 646-659 - [i1]Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
Hyperbolic Hierarchical Contrastive Hashing. CoRR abs/2212.08904 (2022) - 2021
- [j45]Xiaocui Li, Ke Zhou, Chunhua Li, Xinyu Zhang, Yu Liu, Yangtao Wang:
Multi-view clustering via neighbor domain correlation learning. Neural Comput. Appl. 33(8): 3403-3415 (2021) - [j44]Yangtao Wang, Jingkuan Song, Ke Zhou, Yu Liu:
Unsupervised deep hashing with node representation for image retrieval. Pattern Recognit. 112: 107785 (2021) - [j43]Ke Zhou, Jingkuan Song:
Introduction to the Special Issue on Learning-based Support for Data Science Applications. Trans. Data Sci. 2(2): 9:1 (2021) - [j42]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) - [c79]Li Liu, Ke Zhou:
PTierDB: Building Better Read-Write Cost Balanced Key-Value Stores for Small Data on SSD. DATE 2021: 796-801 - 2020
- [j41]Tianming Jiang, Ping Huang, Ke Zhou:
Cost-efficiency disk failure prediction via threshold-moving. Concurr. Comput. Pract. Exp. 32(14) (2020) - [j40]Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu:
Semantic-aware data quality assessment for image big data. Future Gener. Comput. Syst. 102: 53-65 (2020) - [j39]Rongbo Shen, Jianhua Yao, Kezhou Yan, Kuan Tian, Cheng Jiang, Ke Zhou:
Unsupervised domain adaptation with adversarial learning for mass detection in mammogram. Neurocomputing 393: 27-37 (2020) - [j38]Tianming Jiang, Ping Huang, Ke Zhou:
Achieving high data reliability at low scrubbing cost via failure-aware scrubbing. J. Parallel Distributed Comput. 144: 220-229 (2020) - [j37]Hua Wang, Jiawei Zhang, Ping Huang, Xinbo Yi, Bin Cheng, Ke Zhou:
Cache What You Need to Cache: Reducing Write Traffic in Cloud Cache via "One-Time-Access-Exclusion" Policy. ACM Trans. Storage 16(3): 18:1-18:24 (2020) - [j36]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) - [j35]Ke Zhou, Yu Zhang, Ping Huang, Hua Wang, Yongguang Ji, Bin Cheng, Ying Liu:
Efficient SSD Cache for Cloud Block Storage via Leveraging Block Reuse Distances. IEEE Trans. Parallel Distributed Syst. 31(11): 2496-2509 (2020) - [j34]Xiaocui Li, Yangtao Wang, Jingkuan Song, Yu Liu, Xinyu Zhang, Ke Zhou, Chunhua Li:
A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions. World Wide Web 23(1): 549-572 (2020) - [j33]Xiaocui Li, Hongzhi Yin, Ke Zhou, Xiaofang Zhou:
Semi-supervised clustering with deep metric learning and graph embedding. World Wide Web 23(2): 781-798 (2020) - [j32]Ke Zhou, Yangtao Wang, Yu Liu, Yujuan Yang, Yifei Liu, Guoliang Li, Lianli Gao, Zhili Xiao:
A framework for image dark data assessment. World Wide Web 23(3): 2079-2105 (2020) - [c78]Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li:
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion. CIKM 2020: 1575-1584 - [c77]Hua Wang, Yang Yang, Ping Huang, Yu Zhang, Ke Zhou, Mengling Tao, Bin Cheng:
S-CDA: A Smart Cloud Disk Allocation Approach in Cloud Block Storage System. DAC 2020: 1-6 - [c76]Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou, Yifei Liu, Li Liu:
Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis. DAC 2020: 1-6 - [c75]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 - [c74]Yu Zhang, Ke Zhou, Ping Huang, Hua Wang, Jianying Hu, Yangtao Wang, Yongguang Ji, Bin Cheng:
A Machine Learning Based Write Policy for SSD Cache in Cloud Block Storage. DATE 2020: 1279-1282 - [c73]Yu Liu, Yangtao Wang, Jingkuan Song, Chan Guo, Ke Zhou, Zhili Xiao:
Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval. ICME 2020: 1-6 - [c72]Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou:
Label-Attended Hashing for Multi-Label Image Retrieval. IJCAI 2020: 955-962 - [c71]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 - [c70]Yu Zhang, Ping Huang, Ke Zhou, Hua Wang, Jianying Hu, Yongguang Ji, Bin Cheng:
OSCA: An Online-Model Based Cache Allocation Scheme in Cloud Block Storage Systems. USENIX ATC 2020: 785-798
2010 – 2019
- 2019
- [j31]Jiangfeng Zeng, Xiao Ma, Ke Zhou:
Enhancing Attention-Based LSTM With Position Context for Aspect-Level Sentiment Classification. IEEE Access 7: 20462-20471 (2019) - [j30]Rongbo Shen, Kezhou Yan, Kuan Tian, Cheng Jiang, Ke Zhou:
Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning. Future Gener. Comput. Syst. 101: 668-679 (2019) - [j29]Jiangfeng Zeng, Xiao Ma, Ke Zhou:
Photo-realistic face age progression/regression using a single generative adversarial network. Neurocomputing 366: 295-304 (2019) - [j28]Yu Liu, Jingkuan Song, Ke Zhou, Lingyu Yan, Li Liu, Fuhao Zou, Ling Shao:
Deep Self-Taught Hashing for Image Retrieval. IEEE Trans. Cybern. 49(6): 2229-2241 (2019) - [j27]Ke Zhou, Si Sun, Hua Wang, Ping Huang, Xubin He, Rui Lan, Wenyan Li, Wenjie Liu, Tianming Yang:
Improving Cache Performance for Large-Scale Photo Stores via Heuristic Prefetching Scheme. IEEE Trans. Parallel Distributed Syst. 30(9): 2033-2045 (2019) - [c69]Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu, Jingkuan Song, Zhili Xiao:
A Framework for Image Dark Data Assessment. APWeb/WAIM (1) 2019: 3-18 - [c68]Jiangfeng Zeng, Ming Yang, Ke Zhou, Xiao Ma, Yangtao Wang, Xiaodong Xu, Zhili Xiao:
Improved Review Sentiment Analysis with a Syntax-Aware Encoder. APWeb/WAIM (2) 2019: 73-87 - [c67]Yangtao Wang, Yu Liu, Yifei Liu, Ke Zhou, Yujuan Yang, Jiangfeng Zeng, Xiaodong Xu, Zhili Xiao:
Analysis and Management to Hash-Based Graph and Rank. APWeb/WAIM (1) 2019: 289-296 - [c66]Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, Xiaofang Zhou:
Semi-supervised Clustering with Deep Metric Learning. DASFAA (3) 2019: 383-386 - [c65]Tianming Jiang, Ping Huang, Ke Zhou:
Scrub Unleveling: Achieving High Data Reliability at Low Scrubbing Cost. DATE 2019: 1403-1408 - [c64]Tianming Jiang, Jiangfeng Zeng, Ke Zhou, Ping Huang, Tianming Yang:
Lifelong Disk Failure Prediction via GAN-Based Anomaly Detection. ICCD 2019: 199-207 - [c63]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 - [c62]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 - 2018
- [j26]Jiangfeng Zeng, Xiao Ma, Ke Zhou:
CAAE++: Improved CAAE for Age Progression/Regression. IEEE Access 6: 66715-66722 (2018) - [j25]Hao Jin, Ke Zhou, Hong Jiang, Dongliang Lei, Ronglei Wei, Chun-hua Li:
Full integrity and freshness for cloud data. Future Gener. Comput. Syst. 80: 640-652 (2018) - [j24]Ke Zhou, Jiangfeng Zeng, Yu Liu, Fuhao Zou:
Deep sentiment hashing for text retrieval in social CIoT. Future Gener. Comput. Syst. 86: 362-371 (2018) - [j23]Rongbo Shen, Fuhao Zou, Jingkuan Song, Kezhou Yan, Ke Zhou:
EFUI: An ensemble framework using uncertain inference for pornographic image recognition. Neurocomputing 322: 166-176 (2018) - [j22]Rongbo Shen, Kezhou Yan, Fen Xiao, Jia Chang, Cheng Jiang, Ke Zhou:
Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection. J. Digit. Imaging 31(5): 680-691 (2018) - [j21]Hao Jin, Hong Jiang, Ke Zhou:
Dynamic and Public Auditing with Fair Arbitration for Cloud Data. IEEE Trans. Cloud Comput. 6(3): 680-693 (2018) - [j20]Hao Jin, Ke Zhou, Yan Luo:
A framework with data-centric accountability and auditability for cloud storage. J. Supercomput. 74(11): 5903-5926 (2018) - [j19]Ke Zhou, Wenjie Liu, Kun Tang, Ping Huang, Xubin He:
Alleviating Memory Refresh Overhead via Data Compression for High Performance and Energy Efficiency. IEEE Trans. Parallel Distributed Syst. 29(7): 1469-1483 (2018) - [c61]Xiaocui Li, Yangtao Wang, Xinyu Zhang, Ke Zhou, Chunhua Li:
A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy. ADMA 2018: 211-223 - [c60]Chong Wang, Ke Zhou, Ronglei Wei:
QS-Code: A Quasi-Systematic Erasure Code with Partial Security for Cloud Storage. ICCCS (3) 2018: 206-216 - [c59]Chunhua Li, Jiaqi Hu, Ke Zhou, Yuanzhang Wang, Hongyu Deng:
Using Blockchain for Data Auditing in Cloud Storage. ICCCS (3) 2018: 335-345 - [c58]Ke Zhou, Yu Zhang, Ping Huang, Hua Wang, Yongguang Ji, Bin Cheng, Ying Liu:
LEA: A Lazy Eviction Algorithm for SSD Cache in Cloud Block Storage. ICCD 2018: 569-572 - [c57]Girum Dagnaw, Hua Wang, Ke Zhou:
CACH-Dedup: Content Aware Clustered and Hierarchical Deduplication. ICPADS 2018: 399-407 - [c56]Hua Wang, Xinbo Yi, Ping Huang, Bin Cheng, Ke Zhou:
Efficient SSD Caching by Avoiding Unnecessary Writes using Machine Learning. ICPP 2018: 82:1-82:10 - [c55]Ke Zhou, Si Sun, Hua Wang, Ping Huang, Xubin He, Rui Lan, Wenyan Li, Wenjie Liu, Tianming Yang:
Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study. ICS 2018: 284-294 - [c54]Chunhua Li, Jinbiao He, Cheng Lei, Chan Guo, Ke Zhou:
Achieving Privacy-Preserving CP-ABE Access Control with Multi-Cloud. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 801-808 - [c53]Chong Wang, Ke Zhou, Zhongying Niu, Ronglei Wei, Hongwei Li:
LVFS: A Lightweight Video Storage File System for IP Camera-Based Surveillance Applications. MMM (2) 2018: 189-199 - [c52]Li Liu, Hua Wang, Ke Zhou:
An Optimized Implementation for Concurrent LSM-Structured Key-Value Stores. NAS 2018: 1-8 - [c51]Chunhua Li, Weirui Xie, Ke Zhou:
Efficient Binary-Encoding Access Control Policy Combination for Large-Scale Collaborative Scenarios. TrustCom/BigDataSE 2018: 560-566 - 2017
- [j18]Panfeng Zhang, Ping Huang, Xubin He, Hua Wang, Ke Zhou:
Resemblance and mergence based indexing for high performance data deduplication. J. Syst. Softw. 128: 11-24 (2017) - 2016
- [j17]Zhijie Huang, Hong Jiang, Ke Zhou:
An Improved Decoding Algorithm for Generalized RDP Codes. IEEE Commun. Lett. 20(4): 632-635 (2016) - [j16]Fuhao Zou, Yu Liu, Hua Wang, Jingkuan Song, Jie Shao, Ke Zhou, Sheng Zheng:
Multi-view multi-label learning for image annotation. Multim. Tools Appl. 75(20): 12627-12644 (2016) - [j15]Zhijie Huang, Hong Jiang, Ke Zhou, Chong Wang, Yuhong Zhao:
XI-Code: A Family of Practical Lowest Density MDS Array Codes of Distance 4. IEEE Trans. Commun. 64(7): 2707-2718 (2016) - [j14]Yuhong Zhao, Hong Jiang, Ke Zhou, Zhijie Huang, Ping Huang:
DREAM-(L)G: A Distributed Grouping-Based Algorithm for Resource Assignment for Bandwidth-Intensive Applications in the Cloud. IEEE Trans. Parallel Distributed Syst. 27(12): 3469-3484 (2016) - [j13]Lingyu Yan, Fuhao Zou, Rui Guo, Lianli Gao, Ke Zhou, Chunzhi Wang:
Feature aggregating hashing for image copy detection. World Wide Web 19(2): 217-229 (2016) - [c50]Jiangfeng Zeng, Ke Zhou, Xiao Ma, Fuhao Zou, Hua Wang:
Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks. CIKM 2016: 1905-1908 - [c49]Ping Huang, Wenjie Liu, Kun Tang, Xubin He, Ke Zhou:
ROP: Alleviating Refresh Overheads via Reviving the Memory System in Frozen Cycles. ICPP 2016: 169-178 - [c48]Panfeng Zhang, Ping Huang, Xubin He, Hua Wang, Lingyu Yan, Ke Zhou:
RMD: A Resemblance and Mergence Based Approach for High Performance Deduplication. ICPP 2016: 536-541 - [c47]Wenjie Liu, Ping Huang, Tang Kun, Tao Lu, Ke Zhou, Chun-hua Li, Xubin He:
LAMS: A latency-aware memory scheduling policy for modern DRAM systems. IPCCC 2016: 1-8 - [c46]Wenjie Liu, Ping Huang, Tao Lu, Xubin He, Hua Wang, Ke Zhou:
Improve Restore Speed in Deduplication Systems Using Segregated Cache. MASCOTS 2016: 487-492 - [c45]Wenjie Liu, Ping Huang, Kun Tang, Ke Zhou, Xubin He:
CAR: A Compression-Aware Refresh Approach to Improve Memory Performance and Energy Efficiency. SIGMETRICS 2016: 373-374 - 2015
- [j12]Zhijie Huang, Hong Jiang, Ke Zhou, Yuhong Zhao, Chong Wang:
Lowest Density MDS Array Codes of Distance 3. IEEE Commun. Lett. 19(10): 1670-1673 (2015) - [j11]Fuhao Zou, Yunfei Wang, Yang Yang, Ke Zhou, Yunpeng Chen, Jingkuan Song:
Supervised feature learning via l2-norm regularized logistic regression for 3D object recognition. Neurocomputing 151: 603-611 (2015) - [j10]Fuhao Zou, Yunpeng Chen, Jingkuan Song, Ke Zhou, Yang Yang, Nicu Sebe:
Compact Image Fingerprint Via Multiple Kernel Hashing. IEEE Trans. Multim. 17(7): 1006-1018 (2015) - [c44]Hao Jin, Hong Jiang, Ke Zhou, Ronglei Wei, Dongliang Lei, Ping Huang:
Full Integrity and Freshness for Outsourced Storage. CCGRID 2015: 362-371 - [c43]Chun-hua Li, Ronglei Wei, Zebang Wu, Ke Zhou, Cheng Lei, Hao Jin:
Adopting Multi-mode Access Control for Secure Data Sharing in Cloud. ICA3PP (3) 2015: 532-546 - [c42]Ke Zhou, Yu Liu, Jingkuan Song, Linyu Yan, Fuhao Zou, Fumin Shen:
Deep Self-taught Hashing for Image Retrieval. ACM Multimedia 2015: 1215-1218 - 2014
- [j9]Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng:
Efficiently Representing Membershipfor Variable Large Data Sets. IEEE Trans. Parallel Distributed Syst. 25(4): 960-970 (2014) - [c41]Dongliang Lei, Ke Zhou, Hao Jin, Junping Liu, Ronglei Wei:
SFDS: A Security and Flexible Data Sharing Scheme in Cloud Environment. CCBD 2014: 101-108 - [c40]Yuhong Zhao, Hong Jiang, Ke Zhou, Zhijie Huang, Ping Huang:
Meeting service level agreement cost-effectively for video-on-demand applications in the cloud. INFOCOM 2014: 298-306 - [c39]Ping Huang, Pradeep Subedi, Xubin He, Shuang He, Ke Zhou:
FlexECC: Partially Relaxing ECC of MLC SSD for Better Cache Performance. USENIX ATC 2014: 489-500 - 2013
- [c38]Lijun Wang, Yongfeng Huang, Ji Chen, Ke Zhou, Chun-hua Li:
Medoop: A medical information platform based on Hadoop. Healthcom 2013: 1-6 - [c37]Hua Wang, Ping Huang, Shuang He, Ke Zhou, Chun-hua Li, Xubin He:
A novel I/O scheduler for SSD with improved performance and lifetime. MSST 2013: 1-5 - [c36]Ping Huang, Guangping Wan, Ke Zhou, Miaoqing Huang, Chun-hua Li, Hua Wang:
Improve Effective Capacity and Lifetime of Solid State Drives. NAS 2013: 50-59 - [c35]Junjie Xie, Yuhui Deng, Ke Zhou:
Totoro: A Scalable and Fault-Tolerant Data Center Network by Using Backup Port. NPC 2013: 94-105 - 2012
- [j8]Hui Tian, Hong Jiang, Ke Zhou, Dan Feng:
Transparency-Orientated Encoding Strategies for Voice-over-IP Steganography. Comput. J. 55(6): 702-716 (2012) - [j7]Hui Tian, Hong Jiang, Ke Zhou, Dan Feng:
Erratum to "Adaptive partial-matching steganography for voice over IP using triple M sequences" [Comput. Commun. 34 (2011) 2236-2247]. Comput. Commun. 35(2): 272 (2012) - [c34]Jin Liu, Ke Zhou, Hui Tian:
Least-significant-digit steganography in low bitrate speech. ICC 2012: 1133-1137 - [c33]Ke Zhou, Jin Liu, Hui Tian, Chun-hua Li:
State-based steganography in low bit rate speech. ACM Multimedia 2012: 1109-1112 - [c32]Ke Zhou, Ping Huang, Chun-hua Li, Hua Wang:
An Empirical Study on the Interplay between Filesystems and SSD. NAS 2012: 124-133 - [c31]Ping Huang, Ke Zhou, Hua Wang, Chun-hua Li:
BVSSD: build built-in versioning flash-based solid state drives. SYSTOR 2012: 8 - 2011
- [j6]Hui Tian, Hong Jiang, Ke Zhou, Dan Feng:
Adaptive partial-matching steganography for voice over IP using triple M sequences. Comput. Commun. 34(18): 2236-2247 (2011) - [j5]Ping Huang, Ke Zhou, Chunling Wu:
ShiftFlash: Make flash-based storage more resilient and robust. Perform. Evaluation 68(11): 1193-1206 (2011) - [c30]Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng:
DBA: A Dynamic Bloom Filter Array for Scalable Membership Representation of Variable Large Data Sets. MASCOTS 2011: 466-468 - [c29]Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng, Hua Wang:
Detecting Duplicates over Sliding Windows with RAM-Efficient Detached Counting Bloom Filter Arrays. NAS 2011: 382-391 - 2010
- [j4]Chun-hua Li, Ke Zhou, Dan Feng:
Capturing the object behaviour for storage system evaluation. Int. J. High Perform. Comput. Netw. 6(3/4): 226-233 (2010) - [j3]Junping Liu, Ke Zhou, Zhikun Wang, Liping Pang, Dan Feng:
Modeling the Impact of Disk Scrubbing on Storage System. J. Comput. 5(11): 1629-1637 (2010) - [c28]Zhongying Niu, Hong Jiang, Ke Zhou, Dan Feng, Shu Ping Zhang, Tianming Yang, Dongliang Lei, Anli Chen:
DSFS: Decentralized security for large parallel file systems. GRID 2010: 209-216 - [c27]Tianming Yang, Hong Jiang, Dan Feng, Zhongying Niu, Ke Zhou, Yaping Wan:
DEBAR: A scalable high-performance de-duplication storage system for backup and archiving. IPDPS 2010: 1-12 - [c26]Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng:
MAD2: A scalable high-throughput exact deduplication approach for network backup services. MSST 2010: 1-14
2000 – 2009
- 2009
- [c25]Ze Deng, Dan Feng, Ke Zhou, Zhan Shi, Chao Luo:
Range Query Using Learning-Aware RPS in DHT-Based Peer-to-Peer Networks. CCGRID 2009: 180-187 - [c24]Hui Tian, Ke Zhou, Hong Jiang, Jin Liu, Yongfeng Huang, Dan Feng:
An M-Sequence Based Steganography Model for Voice over IP. ICC 2009: 1-5 - [c23]Hui Tian, Ke Zhou, Hong Jiang, Yongfeng Huang, Jin Liu, Dan Feng:
An Adaptive Steganography Scheme for Voice Over IP. ISCAS 2009: 2922-2925 - [c22]Hui Tian, Ke Zhou, Hong Jiang, Dan Feng:
Digital logic based encoding strategies for steganography on voice-over-IP. ACM Multimedia 2009: 777-780 - [c21]Zhongying Niu, Ke Zhou, Hong Jiang, Tianming Yang, Wei Yan:
Identification and Authentication in Large-Scale Storage Systems. NAS 2009: 421-427 - [c20]Hua Wang, Ke Zhou, Ling Yuan:
Fault-Tolerant Online Backup Service: Formal Modeling and Reasoning. NAS 2009: 452-460 - [c19]Junping Liu, Ke Zhou, Liping Pang, Zhikun Wang, Yuhui Deng, Dan Feng:
A Novel Cost-Effective Disk Scrubbing Scheme. NCM 2009: 686-691 - 2008
- [c18]Jingning Liu, Tianming Yang, Zuoheng Li, Ke Zhou:
TSPSCDP: A Time-Stamp Continuous Data Protection Approach Based on Pipeline Strategy. FCST 2008: 96-102 - [c17]Zhikun Wang, Dan Feng, Ke Zhou, Fang Wang:
PCOW: Pipelining-Based COW Snapshot Method to Decrease First Write Penalty. GPC 2008: 266-274 - [c16]Hui Tian, Ke Zhou, Yongfeng Huang, Dan Feng, Jin Liu:
A Covert Communication Model Based on Least Significant Bits Steganography in Voice over IP. ICYCS 2008: 647-652 - [c15]Hua Wang, Ke Zhou:
Goal-based Dependability Analysis and Improvement Framework for Network Storage Systems. NAS 2008: 271-277 - 2007
- [c14]Zhipeng Tan, Dan Feng, Fei He, Ke Zhou:
Studying of Multi-dimensional Based Replica Management in Object Storage System. EUC Workshops 2007: 341-354 - [c13]Lei Tian, Dan Feng, Hong Jiang, Ke Zhou, Lingfang Zeng, Jianxi Chen, Zhikun Wang, Zhenlei Song:
PRO: A Popularity-based Multi-threaded Reconstruction Optimization for RAID-Structured Storage Systems. FAST 2007: 277-290 - [c12]Zhongying Niu, Ke Zhou, Dan Feng, Hong Jiang, Frank Wang, Hua Chai, Wei Xiao, Chun-hua Li:
Implementing and Evaluating Security Controls for an Object-Based Storage System. MSST 2007: 87-99 - [c11]Zhikun Wang, Ke Zhou, Dan Feng, Lingfang Zeng, Junping Liu:
FTRAID: A Fat-tree Based Parallel Storage Architecture for Very Large Disk Array. IEEE NAS 2007: 185-192 - 2006
- [j2]Yuhui Deng, Frank Wang, Na Helian, Dan Feng, Ke Zhou:
Optimal Clustering Size of Small File Access in Network Attached Storage Device. Parallel Process. Lett. 16(4): 501-512 (2006) - [c10]Ke Zhou, Zhongying Niu:
Decease I/O Mean Response Time Using Software Pipelining. IMSCCS (1) 2006: 332-337 - [c9]Ke Zhou, Qiang Zou, Dan Feng, Lingfang Zeng:
Self-Similarity in Data Traffic for Object-Based Storage System. IWNAS 2006: 23-28 - [c8]Ke Zhou, Chun-hua Li, Dan Feng, Yang Wang, Liang Lu, Yong-guang Ji:
A Distributed Object Tracing System. IWNAS 2006: 29-35 - [c7]Ke Zhou, Ze Deng:
A Domain-Based Storage Management Framework for the WAN. IWNAS 2006: 63-64 - [c6]Lingfang Zeng, Ke Zhou, Zhan Shi, Dan Feng, Fang Wang, Changsheng Xie, Zhitang Li, Zhanwu Yu, Jianya Gong, Qiang Cao, Zhongying Niu, Lingjun Qin, Qun Liu, Yao Li:
Storage challenge - HUSt: a heterogeneous unified storage system for GIS grid. SC 2006: 325 - [c5]Ke Zhou, Ze Deng:
Put mass storage into grid. SoSE 2006: 1-4 - [c4]Ke Zhou, Frank Wang, Yuhui Deng:
Pipelining scheduling and hierarchical-volume management in a storage area network. SoSE 2006: 1-6 - 2005
- [j1]Frank Wang, Na Helian, Sining Wu, Yuhui Deng, Ke Zhou, Yike Guo, Steve Thompson, Ian Johnson, Dave Milward, Robert Maddock, Benjamin Khoo Boon Tat:
Cluster Computing and Grid 2005 Works in Progress. IEEE Distributed Syst. Online 6(9) (2005) - [c3]Lingfang Zeng, Dan Feng, Fang Wang, Ke Zhou:
A Strategy of Load Balancing in Object Storage System. CIT 2005: 310-314 - [c2]Chun-hua Li, Zheng-Ding Lu, Ke Zhou:
SVR-Parameters Selection for Image Watermarking. ICTAI 2005: 466-470 - 2004
- [c1]Dan Feng, Yuhui Deng, Ke Zhou, Fang Wang:
Enlarge Bandwidth of Multimedia Server with Network Attached Storage System. NPC 2004: 489-492
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-21 02:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
