期刊论文

会议论文 期刊论文 国家专利 奖 励 项目/基金 标准制定 开源资源

2024

  1. 方浩天，李春花，王清，周可。一种基于深度学习的微服务性能异常检测方法，计算机研究与发展，2024年第61卷第3期600-613

    2. CCF A

  1. Peng Wang, Hong Jiang, Yu Liu, Zhelong Zhao, Ke Zhou, and Zhihai Huang. Beyond Belady to Attain A Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks. IEEE Transactions on Parallel and Distributed Systems. 35(11): 1949-1963 (2024)

    2. CCF A

  1. Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou. Exploring Hierarchical Information in Hyperbolic Space for Self-supervised Image Hashing. IEEE Transactions on Image Processing, 2024. VOL. 33,1768-1781, 2024

    2. CCF A

  1. Lei H, Li C, Zhou K, et al. X-Stor: A Cloud-Native NoSQL Database Service with Multi-Model Support[J]. Proceedings of the VLDB Endowment, 2024, 17(12): 4025-4037.

    2. CCF A

  1. 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[J]. TACO. Vol. 21, No. 2, 2024, 32: 1-24.

    2. CCF A

  1. 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[J]. Future Generation Computer Systems, 2024, 156: 116-129.

    2. JCR 1区

  1. 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. 2024 IEEE International Conference on Multimedia and Expo (ICME 2024)

    2. CCF B

  1. 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 Generation Computer Systems. 154 (2024) 235–250.

    2. CCF B

  1. Kai Han, Yu Liu, Rukai Wei, Ke Zhou, Jinhui Xu, Kun Long. Supervised Hierarchical Online Hashing for Cross-modal Retrieval. ACM Transactions on Multimedia Computing, Communications and Applications, Volume 20, Issue 4

    2. CCF B

  1. Peng Wang, Yu Liu, Ziqi Liu, Zhelong Zhao, Ke Liu, Ke Zhou, Zhihai Huang. ε-LAP: A Lightweight and Adaptive Cache Partitioning Scheme with Prudent Resizing Decisions for Content Delivery Networks. IEEE Transactions on Cloud Computing 12(3): 942-953 (2024)

    2. CCF C

2023

  1. J Cheng, Y Xie, Y Liu, J Song, X Liu, Z He, W Zhang, X Han, H Zhou, K Zhou, H Zhou, J Dong, X Zhang. Human emotion recognition with a microcomb-enabled integrated optical neural network[J]. Nanophotonics, 2023, 12(20): 3883-3894.

    2. JCR 1区

  1. Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou. Deep debiased contrastive hashing. Pattern Recognition, 2023, 139: 109483.

    2. CCF B

  1. 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. FGCS, 2023, 148: 460-471.

    2. CCF C

  1. Yunchuan Guan, Yu Liu, Ke Zhou, Qiang Li, Tuanjie Wang, Hui Li. A disk failure prediction model for multiple issues. Frontiers of Information Technology & Electronic Engineering, 2023, 24(7): 964-979.

    2. CCF C

  1. Yanzhao Xie, Guangxing Hu, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao. How visual chirality affects the performance of image hashing. Neural Computing and Applications, 2023, 35(12): 9003-9016.

    2. CCF C

  1. 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 Computing and Applications, 2023, 35(15): 10891-10907.

    2. CCF C

2022

  1. 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)

    2. CCF C

  1. 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)

    2. CCF C

2021

  1. Honglong Wu, Xuebin Wang, Mengtian Chu, Dongfang Li, Lixin Cheng, Ke Zhou. "HCMB: A stable and efficient algorithm for processing the normalization of highly sparse Hi-C contact data". Computational and Structural Biotechnology Journal.

    2. JCR 1区

  1. Xiaocui Li, Ke Zhou, Chunhua Li, Xinyu Zhang, Yu Liu, Yangtao Wang. "Multi-view clustering via neighbor domain correlation learning." Neural Computing and Applications. 33(8):3403--3415.(2021)

    2. JCR 2区

  1. Yangtao Wang, Jingkuan Song, Ke Zhou, Yu Liu*. "Unsupervised deep hashing with node representation for image retrieval." Pattern Recognit 2021. 112: 107785.(2021)

    2. JCR 1区

  1. 刘渝, 郭婵, 冯树耀, 周可, 肖志立. "基于语义相似性的跨模态图文内容筛选存储机制研究." 计算机研究与发展. 58(2):338--355(2021).

    2. CCF A

  1. Ji Zhang, Ke Zhou, Guoliang Li, Yu Liu, Ming Xie, Bin Cheng, Jiashu Xing. "CDBTune + : An Efficient Deep Reinforcement Learning Based Automatic Cloud Database Tuning System." VLDB J. 30(6): 959--987 (2021)

    2. CCF A

  1. Yu Liu, Yangtao Wang, Lianli Gao, Chan Guo, Yanzhao Xie, Zhili Xiao "Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data." ACM Transaction on Data Science, 2021. 2(2): 11:1-11:26(2021).

2020

  1. Yu Liu, Yangtao Wang, Ke Zhou,Yujuan Yang, Yifei Liu. "Semantic-aware data quality assessment for image big data". Future Generation Computer Systems. 102:53--65(2020)

    2. JCR 1区

  1. Hua Wang, Jiawei Zhang, Ping Huang, Xinbo Yi, Bin Cheng, Ke Zhou* "Cache What You Need to Cache: ReducingWrite Traffic in Cloud Cache via “One-Time-Access-Exclusion” Policy". ACM Transactions on Storage. 16, 3, Article 18 (July 2020), 24 pages.

    2. CCF A

  1. Ke zhou, Yu Zhang, Ping Huang, Hua Wang, Yang Liu. "Efficient SSD Cache for Cloud Block Storage via Leveraging Block Reuse Distances", IEEE Transactions on Parallel and Distributed Systems, PP(99):1-1

    2. CCF A

  1. Tianming Jiang，Ping Huang，Ke Zhou "Cost-Efficiency Disk Failure Prediction via Threshold-Moving." Concurrency and Computation: Practice and Experience

    2. CCF A

  1. Ji Zhang，Ke Zhou，Ping Huang，Xubin He，Yin hu 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)

    2. CCF A

  1. 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).

    2. CCF B

  1. 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).

    2. CCF B

  1. Lihua Cai, Honglong Wu, Ke Zhou. "Improved cancer biomarkers identification using network-constrained infinite latent feature selection". February 2021PLoS ONE. 16(2):1-15 (2020)

    2. CCF B

  1. 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).

    2. CCF B

  1. Tianming Jiang, Ping Huang, Ke Zhou. "Achieving High Data Reliability at Low Scrubbing Cost via Failure-Aware Scrubbing". Journal of Parallel and Distributed Computing

    2. CCF B

  1. 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)

    2. CCF C

2019

  1. Yu Liu, Jingkuan Song*, Ke Zhou*, Lingyu Yan, Li Liu, Fuhao Zou and Ling Shao. "Deep Self-Taught Hashing for Image Retrieval." IEEE Transaction on Cybernetics. 49(6):2229--2241 (2019).

    2. PDF JCR 1区

  1. Ke zhou, Si Sun, Hua Wang, Ping Huang, Xubin He, Ran Lai, Wenyan Li, Wenjie Liu, Tianming Jiang. "Improving Cache Performance for Large-Scale Photo Stores via Heuristic Prefetching Scheme." IEEE Transactions on Parallel and Distributed Systems. 30(9):2033

    2. PDF CCF A

  1. 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 Generation Computer Systems. 101:668--679 (2019).

    2. PDF JCR 1区

  1. Jiangfeng Zeng, Xiao Ma, Ke Zhou*. "Enhancing Attention-Based LSTM With Position Context for Aspect-Level Sentiment Classification." IEEE Access. DOI: 10.1109/ACCESS.2019.2893806.

    2. JCR 2区

  1. Dongfang Li(共同一作), Ke Zhou(共同通讯), etc. . "Discrepant gut microbiota markers for the classification of obesity related metabolic abnormalities." Scientific Reports. 17, Sept. 2019.

    2. PDF JCR 3区

  1. Chunhua Li, Peng Wang, Changhong Sun, Ke Zhou, Ping Huang. "WiBPA: An Efficient Data Integrity Audit Scheme without Bilinear Pairings." Computers Materials & Continua. 58(2):319--333 (2019).

    2. PDF JCR 4区

  1. Dagnaw Girum, Ke Zhou, and Hua Wang. "dCACH: Content Aware Clustered and Hierarchical Distributed Deduplication." Journal of Software Engineering and Applications. 12(11):460--490 (2019).

    2. PDF

2018

  1. Ke Zhou, Jiangfeng Zeng*, Yu Liu, Fuhao Zou. "Deep sentiment hashing for text retrieval in social CIoT." Future Generation Computer Systems. 86：362-–371 (2018).

    2. PDF JCR 1区

  1. Hao Jin, Hong Jiang, Ke Zhou*. "Dynamic and Public Auditing with Fair Arbitration for Cloud Data." IEEE Transactions on Cloud Computing. 6(3):680--693 (2018).

    2. PDF JCR 1区

  1. Hao Jin, Ke Zhou*, Hong Jiang, Dongliang Lei, Ronglei Wei, LiHua Cai. "Full integrity and freshness for cloud data." Future Generation Computer Systems. 80:640–-652 (2018).

    2. PDF JCR 1区

  1. Ke Zhou, Wenjie Liu, Kun Tang, Ping Huang, Xubin He. "Alleviating Memory Refresh Overhead via Data Compression for High performance and Energy Efficiency." IEEE Transactions on Parallel and Distributed Systems. 29(7):1469--1483 (2018).

    2. PDF CCF A

  1. 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).

    2. PDF JCR 2区

  1. 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." Journal of digital imaging. 1--12 (2018).

    2. PDF JCR 3区

2017

  1. 李春花,王桦*,张彦哲,周可. "采用扩展公钥的云存储广播加密优化方法." 计算机研究与发展. 54(12): 2818--2824 (2017).

    2. PDF CCF A

2016

  1. 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 Transactions on Parallel and Distributed Systems. 27(12):3469

    2. PDF CCF A

  1. 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 Transactions on Communications. 64(7):2707--2718 (2016).

    2. PDF CCF B

  1. Zhijie Huang, Hong Jiang, Ke Zhou*. "An Improved Decoding Algorithm for Generalized RDP Codes." IEEE Communications Letters. 20(4):632--635 (2016).

    2. PDF CCF B

  1. Fuhao Zou, Yu Liu*, Hua Wang, Jingkuan Song, Jie Shao, Ke Zhou, Sheng Zheng. "Multi-view multi-label learning for image annotation." Multimedia Tools and Applications. 75(20):12627--12644 (2016).

    2. PDF CCF C

2015

  1. Cai L, Wu H, Li D, Zhou K*, Zou F. "Type 2 Diabetes Biomarkers of Human Gut Microbiota Selected via Iterative Sure Independent Screening Method." PLoS ONE. 10(10): e0140827 (2015).

    2. PDF JCR 3区

  1. F. Zou, Y. Wang, Y. Yang, K. Zhou, Y. Chen, and J. Song. "Supervised feature learning via l2-norm regularized logistic regression for 3D object recognition." Neurocomputing. 151:603--611 (2015).

    2. PDF JCR 2区

  1. Zhijie Huang, Hong Jiang, Ke Zhou*, Yuhong Zhao, Chong Wang. "Lowest Density MDS Array Codes of Distance 3." IEEE Communications Letters. 19(10):1670--1673 (2015).

    2. PDF JCR 3区

2014

  1. Jiansheng Wei, Hong Jiang, Ke Zhou*, Dan Feng. "Efficiently Representing Membership for Variable Large Data Set." IEEE Transactions on Parallel and Distributed Systems. 25(4):960--970 (2014).

    2. PDF CCF A

2012

  1. Jin Liu, Ke Zhou, Hui Tian. "Efficient Least-significant-bits Steganography for VoIP." Advancements in Computing Technology-Theories and Applications in Computing Science & Technology, 2012.

    2. PDF

  1. Hui Tian, Hong Jiang, Ke Zhou, Dan Feng. "Transparency-Orientated Encoding Strategies for Voice-over-IP Steganography." The Computer Journal. 55(6): 702--716 (2012).

    2. PDF CCF B

  1. Hui Tian, Ke Zhou, Jing Lu. "A VoIP-Based Covert Communication Scheme Using Compounded Pseudorandom Sequence." Advancements in Computing Technology. 4(1): 223--230 (2012).

2011

  1. Ping Huang, Ke Zhou*, Chunling Wu. "ShiftFlash: Make flash-based storage more resilient and robust." Performance Evaluation. 68(11): 1193--1206 (2012).

    2. PDF CCF B

  1. Hui Tian, Hong Jiang, Ke Zhou, Dan Feng. "Adaptive Partial-Matching Steganography for Voice over IP Using Triple M Sequences." Computer Communications. 34(18): 2236--2247 (2011).

    2. PDF JCR 3区

2010

  1. Hui Tian, Ke Zhou*, Dan Feng. "Dynamic matrix encoding strategy for voice-over-IP steganography." J. Cent. South Univ. Technol. (2010) 17: 1285−-1292.

    2. PDF CCF B

  1. Ke zhou, Wang hua, Li chunhua. "Cloud storage technology and its applications." ZTE Communications. 8(4)：27--30 (2010).

    2. PDF

  1. Niu zhongying, ke zhou, Dan feng, Yang tainming. "Access control lists for object-based storage systems." Chinese journal of electronics. 19(3)：431--436 (2010).

    2. PDF

Copyright © 2021.Intelligent Data Storage and Management Lab All rights reserved.

联系我们

  • 027-87793548

  • liu_yu@hust.edu.cn

地址

湖北省武汉市洪山区 珞喻路1037，华中科技大学 武汉光电国家研究中心 C524-C539.