Ke Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 100

Top Venues

Future Gener. Comput. Syst.

ICPP

IEEE Trans. Parallel Distributed Syst.

Neurocomputing

Publications

Peng Wang, Yu Liu, Ziqi Liu, Ming-Yang Wang, Ke Liu, Ke Zhou, Zhihai Huang
CoGenT: A Content-oriented Generative-hit Framework for Content Delivery Networks. CoRR (2024)
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)
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) (2024)
Xiaojun Guo, Hua Wang, Ke Zhou, Hong Jiang, Yaodong Han, Guangjie Xing
FLOWS: Balanced MRC Profiling for Heterogeneous Object-Size Cache. EuroSys (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen
Smart Cache Insertion and Promotion Policy for Content Delivery Networks. ICPP (2023)
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 (2023)
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) (2023)
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)
Girum Dagnaw, Ke Zhou, Hua Wang
SACRO : Solid state drive-assisted chunk caching for restore optimization. Concurr. Comput. Pract. Exp. 35 (18) (2023)
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) (2023)
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)
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou
Deep debiased contrastive hashing. Pattern Recognit. 139 (2023)
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)
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 (2023)
Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang
Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning. CIKM (2023)
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)
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) (2023)
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) (2023)
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 (2023)
Yu Liu, Hua Wang, Ke Zhou, Chunhua Li, Rengeng Wu
A survey on AI for storage. CCF Trans. High Perform. Comput. 4 (3) (2022)
Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen
Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks. ICCD (2022)
Chong Wang, Hao Jin, Ronglei Wei, Ke Zhou
Revocable, dynamic and decentralized data access control in cloud storage. J. Supercomput. 78 (7) (2022)
Yun Zou, Xiaoyan Tan, Jingkuan Song, Ke Zhou, Fuhao Zou
Deep Category-Aware Hashing for Object Retrieval in Multi-Label Image. ICME (2022)
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)
Chunhua Li, Man Wu, Yuhan Liu, Ke Zhou, Ji Zhang, Yunqing Sun
SS-LRU: a smart segmented LRU caching. DAC (2022)
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou
Hyperbolic Hierarchical Contrastive Hashing. CoRR (2022)
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) (2022)
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)
Yangtao Wang, Jingkuan Song, Ke Zhou, Yu Liu
Unsupervised deep hashing with node representation for image retrieval. Pattern Recognit. 112 (2021)
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) (2021)
Li Liu, Ke Zhou
PTierDB: Building Better Read-Write Cost Balanced Key-Value Stores for Small Data on SSD. DATE (2021)
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) (2021)
Ke Zhou, Jingkuan Song
Introduction to the Special Issue on Learning-based Support for Data Science Applications. Trans. Data Sci. 2 (2) (2021)
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)
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 Annual Technical Conference (2020)
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)
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) (2020)
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) (2020)
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)
Tianming Jiang, Ping Huang, Ke Zhou
Cost-efficiency disk failure prediction via threshold-moving. Concurr. Comput. Pract. Exp. 32 (14) (2020)
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)
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 Annual Technical Conference (2020)
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) (2020)
Tianming Jiang, Ping Huang, Ke Zhou
Achieving high data reliability at low scrubbing cost via failure-aware scrubbing. J. Parallel Distributed Comput. 144 (2020)
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 (2020)
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)
Xiaocui Li, Hongzhi Yin, Ke Zhou, Xiaofang Zhou
Semi-supervised clustering with deep metric learning and graph embedding. World Wide Web 23 (2) (2020)
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)
Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu
Semantic-aware data quality assessment for image big data. Future Gener. Comput. Syst. 102 (2020)
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) (2020)
Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou
Label-Attended Hashing for Multi-Label Image Retrieval. IJCAI (2020)
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) (2020)
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)
Tianming Jiang, Ping Huang, Ke Zhou
Scrub Unleveling: Achieving High Data Reliability at Low Scrubbing Cost. DATE (2019)
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) (2019)
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)
Jiangfeng Zeng, Xiao Ma, Ke Zhou
Photo-realistic face age progression/regression using a single generative adversarial network. Neurocomputing 366 (2019)
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)
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) (2019)
Jiangfeng Zeng, Xiao Ma, Ke Zhou
Enhancing Attention-Based LSTM With Position Context for Aspect-Level Sentiment Classification. IEEE Access 7 (2019)
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)
Tianming Jiang, Jiangfeng Zeng, Ke Zhou, Ping Huang, Tianming Yang
Lifelong Disk Failure Prediction via GAN-Based Anomaly Detection. ICCD (2019)
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 (2019)
Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia W. Sadiq, Xiaofang Zhou
Semi-supervised Clustering with Deep Metric Learning. DASFAA (3) (2019)
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)
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 (2018)
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)
Hao Jin, Ke Zhou, Yan Luo
A framework with data-centric accountability and auditability for cloud storage. J. Supercomput. 74 (11) (2018)
Rongbo Shen, Fuhao Zou, Jingkuan Song, Kezhou Yan, Ke Zhou
EFUI: An ensemble framework using uncertain inference for pornographic image recognition. Neurocomputing 322 (2018)
Chunhua Li, Weirui Xie, Ke Zhou
Efficient Binary-Encoding Access Control Policy Combination for Large-Scale Collaborative Scenarios. TrustCom/BigDataSE (2018)
Ke Zhou, Jiangfeng Zeng, Yu Liu, Fuhao Zou
Deep sentiment hashing for text retrieval in social CIoT. Future Gener. Comput. Syst. 86 (2018)
Hao Jin, Hong Jiang, Ke Zhou
Dynamic and Public Auditing with Fair Arbitration for Cloud Data. IEEE Trans. Cloud Comput. 6 (3) (2018)
Jiangfeng Zeng, Xiao Ma, Ke Zhou
CAAE++: Improved CAAE for Age Progression/Regression. IEEE Access 6 (2018)
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) (2018)
Chong Wang, Ke Zhou, Ronglei Wei
QS-Code: A Quasi-Systematic Erasure Code with Partial Security for Cloud Storage. ICCCS (3) (2018)
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) (2018)
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)
Hua Wang, Xinbo Yi, Ping Huang, Bin Cheng, Ke Zhou
Efficient SSD Caching by Avoiding Unnecessary Writes using Machine Learning. ICPP (2018)
Li Liu, Hua Wang, Ke Zhou
An Optimized Implementation for Concurrent LSM-Structured Key-Value Stores. NAS (2018)
Chunhua Li, Jiaqi Hu, Ke Zhou, Yuanzhang Wang, Hongyu Deng
Using Blockchain for Data Auditing in Cloud Storage. ICCCS (3) (2018)
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)
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)
Girum Dagnaw, Hua Wang, Ke Zhou
CACH-Dedup: Content Aware Clustered and Hierarchical Deduplication. ICPADS (2018)
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)
Panfeng Zhang, Ping Huang, Xubin He, Hua Wang, Ke Zhou
Resemblance and mergence based indexing for high performance data deduplication. J. Syst. Softw. 128 (2017)
Zhijie Huang, Hong Jiang, Ke Zhou
An Improved Decoding Algorithm for Generalized RDP Codes. IEEE Commun. Lett. 20 (4) (2016)
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) (2016)
Ping Huang, Wenjie Liu, Kun Tang, Xubin He, Ke Zhou
ROP: Alleviating Refresh Overheads via Reviving the Memory System in Frozen Cycles. ICPP (2016)
Wenjie Liu, Ping Huang, Tao Lu, Xubin He, Hua Wang, Ke Zhou
Improve Restore Speed in Deduplication Systems Using Segregated Cache. MASCOTS (2016)
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) (2016)
Jiangfeng Zeng, Ke Zhou, Xiao Ma, Fuhao Zou, Hua Wang
Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks. CIKM (2016)
Lingyu Yan, Fuhao Zou, Rui Guo, Lianli Gao, Ke Zhou, Chunzhi Wang
Feature aggregating hashing for image copy detection. World Wide Web 19 (2) (2016)
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)
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) (2016)
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)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ke Zhou