Personal Profile

Dr. Zhou Ke, supervisor of doctorate candidates, is a level 2 professor of Huazhong University of Science and Technology and is selected as a member of National Major Talent Project. He is also an outstanding member of China Computer Federation and senior member of Chinese institute of electronics.His research areas mainly fall on mass data storage and management.He now works as the vice director of key laboratory of Ministry of Education of Information storage system and the director of the joint research center of intelligent cloud storage technology by Huazhong University of Science and Technology(HUST) and Tencent. A list of awards were attained by Mr.Zhou, including one second prize of National Award for Technological Invention, three first prizes and one second prize at ministerial and provincial-level,SC’06 storage challenge finalist award. 3 national standard and 1 industrial standard were developed under his leadership. On top of the above mentioned, he has obtained over 60 authorized invention patents and published over 100 articles on domestic  and international journals and conferences.

Academic Degrees

2003,Huazhong University of Science and Technology, Professional Doctorate Degree of computer system structure

Professional Experience

2008.11 to now, Huazhong University of Science and Technology

Professor, Supervisor of Doctorate Candidates

Courses Taught

[1] Computer Architecture,

[2] Design and Analysis of Algorithms

Awards and Honors

[1] 2002, the second prize of National Award for Technological Invention , 《Network disc array of system integration and heterogeneous channel interface protocol transformation》

[2] 2006, the first prize of Technological Invention Award of Hubei Province, 《The core technology and constructive method of high-performance network storage system》

[3] 2006, SuperComputing 2006 storage challenge finalist Award,《HUST: A Heterogeneous Unified Storage System for GIS Grid》

[4] 2013, the second prize of scientific and technological progress of science and technology awards of Chinese Institute of Electronics,《The key technologies of Steganographycommunication and detection based on network streaming media》

[5] 2014, the first prize of Technological Invention Award of Hubei province, 《Hybrid cloud storage system and key technologies》

[6] 2015, the first prize of scientific and technological progress of science and technology awards of Chinese Institute of Electronics, 《The key technologies and application of hybrid cloud storage system》

[7] 2017, tutor of gold medal winner of the third session of China College Students'Internet+'Innovation and Entrepreneurship Competition,《M-Cloud：Intelligent storage cloud》

[8] 2018, tutor of gold medal winner of College Students Entrepreneurship Competition, 《M-Cloud:The smart engine of big data》

[9] 2021, tutor of gold medal winner of the seventh session of  China College Students' 'Internet+'Innovation and Entrepreneurship Competition,《The innovation and exploration of database intelligent housekeeper》

[10] 2022, tutor of gold medal winner of the eighth session of  China College Students' 'Internet+'Innovation and Entrepreneurship Competition,《IntelliBlock: Intelligent Brain of ExaByte block storage system》

Selected Projects Funded

[1] Project supported by the Key Program of the National Natural Science Foundation of China,62232007, A new data management theory and method for cloud edge - end collaboration,2023/01-2027/12.

[2] Joint research center of intelligent cloud storage technology by Huazhong University of Science and Technology(HUST) and Tencent ,2018/01-2022/12.

[3] Research and application of artificial Intelligence-based technology to improve the operation and maintenance capability of private cloud,MCM20180406,Ministry of Education - China Mobile Research Fund, 2019/01-2020/12.

[4] Mobile internet and fourth generation mobile communication (TD-LTE) industrialization special project of National Development and Reform Commission, research and development and industrialization of Xunlei mobile Internet big data platform,2016/07-2017/12.

[5] Project supported by the Key Program of the National Natural Science Foundation of China,61232004,Research on Network Public Storage Service System structure and Data organization,2013/01-2017/12.

Selected publications

[1] Chunhua Li, Man Wu, Yuhan Liu, Ke Zhou*, Ji Zhang and Yunqing Sun. SS-LRU: A Smart Segmented LRU Caching for Storage System. In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22), July 10-14, 2022, San Francisco, CA, USA, 6 pages. https://doi.org/10.1145/3489517.3530469.

[2] Baoqing Cai, Yu Liu, Ce Zhang, Guangyu Zhang, Ke Zhou*, Li Liu, Chunhua Li, Bin Cheng, Jie Yang, and Jiashu Xing. 2022. HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements. In Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22), June 12–17, 2022, Philadelphia, PA, USA. ACM, New York, NY,USA, 15 pages. https://doi.org/10.1145/3514221.3517882

[3] 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. The VLDB Journal (2021) 30:959–987

[4] Ji Zhang，Kun Wan, Ke Zhou*. AlphaJoin: Join Order Selection à la AlphaGo. The 46th International Conference on Very Large Data Bases (VLDB 2020), 2020, Tokyo, Japan, Aug 31 -Sep 4. (CCF A)

[5] Hua Wang, 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 Transactions on Storage, Vol. 16, No. 3, Article 18. Publication date: July 2020.

[6] Ji Zhang, Ke Zhou*, Ping Huang, 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 (ATC), 2020. (CCF A)

[7] 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. 31st USENIX Annual Technical Conference (ATC), 2020. (CCF A)

[8] Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou*, Yifei Liu, Li Liu. Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis. 57th ACM/EDAC/IEEE Design Automation Conference (DAC), 2020. (CCF A)

[9] Ji Zhang, Yuanzhang Wang, Yangtao Wang, Ke Zhou*, Schelter Sebastian, Ping Huang, Bin Cheng, Yongguang Ji. Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost. 57th ACM/EDAC/IEEE Design Automation Conference (DAC), 2020. (CCF A)

[10] 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. 57th ACM/EDAC/IEEE Design Automation Conference (DAC), 2020. (CCF A)

[11] Tianming Jiang, Jiangfeng Zeng, Ke Zhou*, Ping Huang, Tianming Yang. Lifelong Disk Failure Prediction via GAN-based Anomaly Detection. IEEE 37th International Conference on Computer Design, ICCD 2019, November 17-20, 2019, Abu Dhabi, United Arab Emirates.

[12] Ke zhou, Si Sun, Hua Wang, Ping Huang, Xubin He, Ran Lai, Wenyan Li, Wenjie Liu, Tianming Yang. Improving Cache Performance for Large-Scale Photo Stores via Heuristic Prefetching Scheme. IEEE Transactions on Parallel and Distributed Systems, Volume: 30, Issue: 9, SEPTEMBER 2019, Pp. 2033-2045. (CCF A)

[13] 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. The 48th Internatonal Conference on Parallel Processing, Kyoto, Japan, Aug 5 - 8, 2019.

[14] Ji Zhang, Yu Liu, Ke Zhou*, Guoliang Li, ZhiLi Xiao, Bin Cheng, JiaShu Xing, YangTao Wang, TianHen Cheng, Li Liu, MinWei Ran, ZeKang Li . An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. ACM International Conference on Management of Data(SIGMOD) 2019, Amsterdam, Netherlands, June 30 - July 5, 2019. (CCF A)

[15] Yu Liu, Jingkuan Song, Ke Zhou*, Linyu Yan, Li Liu, Fuhao Zou, Ling Shao. Deep Self-taught Hashing for Image Retrieval. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2018.2822781, Volume: 49 , Issue: 6 , June 2019, pp 2229 – 2241

[16] Tianming Jiang, Ping Huang, Ke Zhou*. Scrub Unleveling: Achieving High Data Reliability at Low Scrubbing Cost. The 22nd Design Automation and test in Europe(DATE 2019), Florence, Italy, March 25~29, 2019.

[17] Ke Zhou, Yu Zhang, Ping Huang, Hua Wang, Yongguang Ji, Bin Cheng and Ying Liu. LEA: A Lazy Eviction Algorithm for SSD Cache in Cloud Block Storage. IEEE 36th International Conference on Computer Design, ICCD 2018. Orlando, Florida, USA, October 7 - 10, 2018.

[18] Ke Zhou, Jiangfeng Zeng, Yu Liu, Fuhao Zou. Deep sentiment hashing for text retrieval in social CIoT. Future Generation Computer Systems, 86 (2018) 362–371

[19] Hao Jin, Hong Jiang, Ke Zhou*. Dynamic and Public Auditing with Fair Arbitration for Cloud Data, IEEE Transactions on Cloud Computing, vol. 6, no. 3, pp. 680-693, July-Sept. 2018.

[20] 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.

[21] Hua Wang, Xinbo Yi, Ping Huang, Bin Cheng, Ke Zhou*. Efficient SSD Caching by Avoiding Unnecessary Writes using Machine Learning. The 47th Internatonal Conference on Parallel Processing, Eugene, OR, USA, Aug 13-16, 2018.

[22] 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. The 32nd ACM International Conference on Supercomputing, Beijing, June 12-15, 2018.

[23] 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. Volume:29, Issue:7, JULY 2018, pp 1469-1483. (CCF A)

[24] Ke Zhou, Shaofu Hu, Ping Huang, Yuhong Zhao. LX-SSD: Enhancing the Lifespan of NAND Flash-based Memory via Recycling Invalid Pages. 33rd International Conference on Massive Storage Systems and Technology (MSST 2017), Santa Clara, CA, USA, May 2017.

[25] 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, VOL. 27, Issue 12, December 2016. PP 3469-3484. (CCF A)

[26] Wenjie Liu, Ping Huang, Kun Tang, Ke Zhou* and Xubin He. CAR: A Compression-Aware Refresh Approach to Improve Memory Performance and Energy Efficiency. Poster presentation, In Proceedings of the 42th ACM SIGMETRICS, Antibes, France, Jun 14-18 2016.

[27] 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, VOL. 64, NO. 7, July 2016. Pp 2707-2718.

[28] Ke Zhou, Yu Liu, Jinkuan Song, Linyu Yan, Fuhao Zou and Fumin Shen, Deep Self-taught Hashing for Image Retrieval, in 23th ACM International Conference on Multimedia, MM 2015, October 26-30, 2015, Brisbane, Australia, 2015, pp. 1215-1218. (CCF A)

[29] YuhongZhao, HongJiang, Ke Zhou*. Meeting Service Level Agreement Cost-Effectively for Video-on-Demand Applications in the Cloud. The 33rd Annual IEEE International Conference on Computer Communications(INFOCOM’14), April 27th – May 2nd, 2014, Toronto, Canada. (CCF A)

[30] Jiansheng Wei, Hong Jiang, Ke Zhou*, Dan Feng. Efficiently Representing Membership for Variable Large Data Sets. IEEE Transactions on Parallel and Distributed Systems, VOL. 25, NO. 4, APRIL 2014. PP 960 – 970. (CCF A)

[31] Hua Wang, Ping Huang, Shuang He, Ke Zhou*, Chunhua Li, and Xubin He. A Novel I/O Scheduler for SSD with Improved Performance and Lifetime. In Proceedings of the 29th IEEE Conference on Mass Storage Systems and Technologies (MSST2013), USA, May 6-10, 2013.

[32] Ping Huang, Ke Zhou*, Chunling Wu. ShiftFlash: Make flash-based storage more resilient and robust. Performance Evaluation, Vol. 68/11(2011). pp 1193-1206.

[33] JianSheng Wei, Hong Jiang, Ke Zhou*, Dan Feng. MAD2: A Scalable High-Throughput Exact Deduplication Approach for Network Backup Services. In Proceedings of the 26th IEEE Conference on Mass Storage Systems and Technologies (MSST2010), USA, May 3-7 , 2010.

[34] Zhongying Niu, Ke Zhou*, Dan Feng.  Implementing and Evaluating Security Controls for an Object-Based Storage System. In Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies (MSST’07), San Diego, California, USA, Sep. 24-27, 2007, pp. 77-89.

Professional Affiliations

An outstanding member of China Computer Federation

Research Group

Intelligent Data Storage and Management Laboratory

Web: http://idsm.wnlo.hust.edu.cn

Enrollment Information

Personal Homepage

Web: http://faculty.hust.edu.cn/zhouke2/en/index/1738809/list/index.htm