Who I am? -- A dreamer and researcher who is determined to pursue knowledge in a finite lifetime. I believe in the road lightened by dreams and the years saturated by struggle. God help those who help themselves.
I’m Yu Liu who was born in Chongqing, grew up in Yichang, and now works at Huazhong University of Science and Technology (HUST). At present, I am affiliated with the IDSM (Intelligence Data Storage and Management) laboratory led by Professor Ke Zhou. I’m carrying out my research on data science and AI for storage at Computer Science and Technology College. I will devote myself to similarity hashing, dark data, smart storage, and AIOps.
If you are passionate about life, interested in programming, data science, and storage, and hope to make a contribution to the world, please contact me. It’s a good place and a great chance to improve your education, accumulate your knowledge, and give full play to your talents here.
Anyone who is an enthusiast for front-ends, especially interested in ExtJs, contact me, please. I am pleased to share my experience and insights with you.
从怀揣梦想的少年，到如今的科研人员。我遵循梦想的指引，相信坚持的力量，践行脚踏实地的经营，期待天道酬勤的历程。人生无常，落子无悔，沧海横流，但求无心无愧，只为寻找属于我的那一缕阳光。
我是刘渝，出于重庆，长于宜昌，如今就职于华中科技大学。我在计算机学院和武汉光电国家研究中心开展人工智能赋能存储的研究工作，现隶属于光电信息存储研究部周可团队。我致力于人工智能技术与存储技术的结合，包括相似性语义哈希、智能存储和面向数据与系统的智能运维。
如果你充满激情，热爱编程、数据科学和存储，有志于在有生之年为这个世界做点什么，留下点什么，欢迎与我联系。
如果你是一名前端爱好者，尤其是对ExtJs感兴趣，也欢迎你和我联系。作为爱好，我很愿意分享我的经验和见解。
My research direction is Data Science and AI for Storage. Now, I focus on the similarity-hash-based smart storage and AIOps for data and systems. In addition, I have been paying attention to the development of extjs. You can find code or follow my work on lightyear416's Github
The happiest thing in the world is to struggle for a noble ideal.
December 2021 - Present
I’m working in computer science and technology college, HUST. My research direction is Data Science and AI for Storage including similarity-hash-based smart storage and AIOps for data and systems.
April 2018 - November 2021
I worked in a software engineering post-doctoral station, WNLO, HUST. Supervised by Professor Ke Zhou, my research direction was Data Science and AI for Storage including image hash, deep learning, dark data, and database tuning.
July 2012 - July 2013
I worked at Wuhan Huazhong Xingye Network Technology Limited. I have completed the front-end design and coding of the Wuhan Railway Administration insurance information system (PC, App, and Wechat).
September 2013 - September 2017
I studied at Wuhan National Laboratory for Optoelectronics, majoring in Computer Science and Technology (Computer System Architecture) for a doctorate degree. Supervised by Professor Ke Zhou and Associate Professor Fuhao Zou, my research focused on applying artificial intelligence to storage. In this period, I got a national scholarship and published 2 papers, one of which is listed in CCF-A.
September 2008 - June 2012
I studied in the School of Computer Science and Engineering of WIT, majoring in Pattern Recognition and Intelligent Systems for a three-year master's degree. Supervised by Professor Yanduo Zhang, my major research direction was Game Theory and Robot Cooperation Strategy, and my engineering direction was B/S Front-ends technology. I won the third in the 2009 FIRA World Cup weightlifting group. Besides, I completed the front-end design and coding of the 709th and 613th Research Institute’s multi-mode asynchronous information management system (B/S Architecture).
September 2004 - June 2008
I studied at the College of Post and Telecommunication of WIT, majoring in Computer Science and Technology (Software) for a four-year bachelor's degree. In the meantime, I passed CET-4.
With love to do business, with grateful heart man.
纵向
国家自然科学基金重点项目, 62232007, 面向云边端协同的新型数据管理理论与方法, 2023.01-2027.12, Cooperation
湖北省自然科学基金面上项目, 2022CFB060, 机器学习使能的云数据库智能运维关键技术研究, 2022.06-2024.06, Host
国家自然科学基金青年科学基金项目, 61902135, 面向图像暗数据的点亮与存储新技术研究, 2020.01-2022.12, Host
教育部-中国移动科研基金项目, mcm20180406, 基于人工智能提升私有云运营运维能力技术研究与应用, 2019.10-2021.08, Cooperation
国家自然科学基金面上项目，61672254，面向监控视频大数据的视频图谱构建关键技术研究，2017.01-2020.12, Cooperation
国家自然科学基金青年科学基金项目，61502189，面向长尾现象的数据缓存技术研究，2016.01-2018.12, Cooperation
横向
Success is not final, failure is not fatal, it is the courage to continue that counts.
HUST
Rukai Wei, Liu Yu, Jingkuan Song, Yanzhao Xie, Ke Zhou. Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing[J]. IEEE Transaction on Image Processing, 2024, 33: 1768-1781.
Corresponding Author
Paper
Kai Han, Liu Yu, Rukai Wei, Ke Zhou, Jinhui Xu, Kun Long. Supervised Hierarchical Online Hashing for Cross-modal Retrieval[J]. ACM Transaction on Multimedia Computing, Communications, and Applications, 2024, 20(4): 103:1-103:23.
Corresponding Author
Paper
HUST
Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang. Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning[C]//Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023: 587-596.
Corresponding Author
Paper
Slide
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[C]//Proceedings of the 31st ACM International Conference on Multimedia, 2023: 1677-1688.
Corresponding Author
Paper
Slide
Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen. Smart Cache Insertion and Promotion Policy for Content Delivery Networks[C]//Proceedings of the International Conference on Parallel Processing. 2023: 183-192.
Corresponding Author
Paper
Slide
Yanzhao Xie, Rukai Wei, Jingkuan Song, Yu Liu, Yangtao Wang, Ke Zhou. Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval[J]. IEEE Transaction on Multimedia, 2023, 25: 9161-9174.
Corresponding Author
Paper
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[J]. Future Generation Computer Systems, 2023, 148: 460-471.
First Author
Paper
Junwei Cheng, Yanzhao Xie, Yu Liu, Junjie Song, Xinyu Liu, Zhenming He, Wenkai Zhang, Xinjie Han, Hailong Zhou, Ke Zhou, Heng Zhou, Jianji Dong, Xinliang Zhang. Human emotion recognition with a microcomb-enabled integrated optical neural network[J]. Nanophotonics, 2023, 12(20): 3883-3894.
Co-First Author
Paper
Yunchuan Guan, Yu Liu, Ke Zhou, Qiang Li, Tuanjie Wang, Hui Li. A disk failure prediction model for multiple issues[J]. Front Inform Technol Electron Eng, 2023, 24(7): 964-979.
Corresponding Author
Paper
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[J]. Neural Computing and Applications, 2023, 35(15): 10891-10907.
Paper
Yanzhao Xie, Guangxing Hu, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao. How visual chirality affects the performance of image hashing[J]. Neural Computing and Applications, 2023, 35(12): 9003-9016.
Corresponding Author
Paper
Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou. Deep debiased contrastive hashing[J]. Pattern Recognit, 2023, 139: 109483.
Corresponding Author
Paper
HUST
Peng Wang, Yu Liu, Zhelong Zhao, Ke Zhou, Zhihai Huang, Yanxiong Chen. Adaptive Size-Aware Cache Insertion Policy for Content Delivery Networks[C]//Proceedings of the 2022 IEEE 40th International Conference on Computer Design. 2022: 195-202.
Corresponding Author
Paper
Slide
Peng Wang, Zhelong Zhao, Yu Liu, Ke Zhou, Zhihai Huang, Yanxiong Chen. A Lightweight and Adaptive Cache Partitioning Scheme for Content Delivery Networks[C]//Proceedings of the 2022 IEEE 40th International Conference on Computer Design. 2022: 407-410.
Corresponding Author
Paper
Slide
Yu Liu, Hua Wang, Ke Zhou, Chunhua Li, Rengeng Wu. A survey on AI for storage[J]. CCF Transactions on High Performance Computing, 2022, 4(3): 233-264.
First Author
Paper
Yanzhao Xie, Yangtao Wang, Yu Liu, Ke Zhou. Label graph learning for multi-label image recognition with cross-modal fusion[J]. Multimedia Tools and Applications, 2022, 81(18): 25363-25381.
Paper
Yu Liu, Yanzhao Xie, Jingkuan Song, Rukai Wei, Ke Zhou. Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval[C]//Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. Springer, Cham, 2022: 129-143.
First Author
Paper
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[C]//Proceedings of the 2022 International Conference on Management of Data. 2022: 646-659.
Co-First Author
Paper
HUST
Yangtao Wang, Yanzhao Xie, Yu Liu, Lisheng Fan. G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition[C]//Proceedings of the 2021 International Conference on Multimedia Retrieval. 2021: 322-330.
Paper
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[J]. VLDB Journal, 2021, 30(6): 959-987.
Paper
Yu Liu, Yangtao Wang, Lianli Gao, Chan Guo, Yanzhao Xie, Zhili Xiao. Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data[J]. ACM Transaction on Data Science, 2021, 2(2): 11:1-11:26.
First Author
Paper
Yangtao Wang, Jingkuan Song, Ke Zhou, Yu Liu. Unsupervised deep hashing with node representation for image retrieval[J]. Pattern Recognit, 2021, 112: 107785.
Corresponding Author
Paper
Xiaocui Li, Ke Zhou, Chunhua Li, Xinyu Zhang, Yu Liu, Yangtao Wang. Multi-view clustering via neighbor domain correlation learning[J]. Neural Computing and Applications, 2021, 33(8): 3403-3415.
Paper
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[J]. 计算机研究与发展, 2021, 58(2): 338-355.
First Author
Paper
HUST
Yu Liu, Yangtao Wang, Jingkuan Song, Chan Guo, Ke Zhou, Zhili Xiao. Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval[C]//Proceedings of 2020 IEEE International Conference on Multimedia and Expo. 2020:1-6.
First Author
Paper
Slide
Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou, Yifei Liu, Li Liu. Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis[C]//Proceedings of the 57th ACM/IEEE Design Automation Conference. 2020:1-6.
First Author
Paper
Slide
Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li. Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion[C]//Proceedings of the 29th ACM International Conference on Information and Knowledge Management. 2020:1575-1584.
Corresponding Author
Paper
Slide
Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou. Label-Attended Hashing for Multi-Label Image Retrieval[C]//Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. 2020:955-962.
Corresponding Author
Paper
Slide
Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang and Yifei Liu. Semantic-aware data quality assessment for image big data[J]. Future Generation Computer Systems, 2020, 102: 53-65.
First Author
Paper
Ke Zhou, Yangtao Wang, Yu Liu, Yujuan Yang, Yifei Liu, Guoliang Li, Lianli Gao and Zhili Xiao. A framework for image dark data assessment[J]. World Wide Web, 2020, 23(3): 2079-2105.
Corresponding Author
Paper
Xiaocui Li, Yangtao Wang, Jingkuan Song, Yu Liu, Xinyu Zhang, Ke Zhou and Chunhua Li. A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions[J]. World Wide Web, 2020, 23(1): 549-572.
Paper
HUST & UESTC
Yu Liu, Jingkuan Song, Ke Zhou, Linyu Yan, Li Liu, Fuhao Zou and Ling Shao. Deep Self-taught Hashing for Image Retrieval[J]. IEEE transactions on cybernetics, 2019, 49(6): 2229-2241.
First Author
Paper
Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu, Jingkuan Song and Zhili Xiao. A Framework for Image Dark Data Assessment[C]//Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. Springer, Cham, 2019: 3-18.
First Author
Best Paper Runner Up
Paper
Slide
Yangtao Wang, Yu Liu, Yifei Liu, Ke Zhou, Yujuan Yang, Jiangfeng Zeng, Xiaodong Xu and Zhili Xiao. Analysis and Management to Hash-Based Graph and Rank[C]//Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. Springer, Cham, 2019: 289-296.
Paper
Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran and Zekang Li. An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning[C]//Proceedings of the 2019 International Conference on Management of Data. 2019: 415-432.
Paper
HUST & UESTC
HUST
Zou Fuhao, Liu Yu, Wang Hua, Song Jingkuan, Shao Jie, Zhou Ke and Zheng Sheng. Multi-view multi-label learning for image annotation[J]. Multimedia Tools and Applications, 2016, 75(20): 12627-12644.
Corresponding Author
Paper
No pain, no gain.
评奖
中国电子学会, 技术发明奖, 二等奖, 超大型数据中心EB级存储服务系统与应用(周可; 王桦; 谢明; 李春花; 程彬; 刘渝), KJ2022-F2-15-R06, 2023.02.
竞赛
2023腾讯开悟人工智能全国公开赛组委会, 2023腾讯开悟人工智能全国公开赛, 博弈算法高级赛道, 总决赛, 亚军 (队员: 张伟明, 侯玉峰, 王铭阳, 高正丰. 指导老师: 刘渝, 周可.), 2023.12.
2023腾讯开悟人工智能全国公开赛组委会, 2023腾讯开悟人工智能全国公开赛, 博弈算法中级赛道, 总决赛, 第6名 (队员: 罗阳, 宫照杭, 花英中. 指导老师: 刘渝.), 2023.12.
2023腾讯开悟人工智能全国公开赛组委会, 2023腾讯开悟人工智能全国公开赛, 工程赛道, 总决赛, 第7名 (队员: 郑明晗, 宋俊杰, 孟星宇, 张伟明, 余润杰. 指导老师: 周可, 刘渝.), 2023.12.
人力资源和社会保障部、全国博士后管理委员会, 第二届全国博士后创新创业大赛, 国赛, 优胜奖, 《少瑜智库-数据库智能运维引擎》(队员: 刘渝, 周可, 张永强, 魏如凯, 郑明晗, 蔡宝清, 侯玉峰, 崔恒.), 2023.10.
工业和信息化部、教育部、江苏省人民政府, 第十二届"中国软件杯", 大学生软件设计大赛, 总决赛, 三等奖, 《基于 FPGA 的 FFT 算法并行优化》(队员: 宋俊杰, 徐睿阳. 指导老师: 刘渝.), 2023.08.
腾讯科技(深圳)有限公司, 第三届"腾讯开悟多智能体强化学习大赛", 总决赛, 第4名（队员: 刘一真, 张伟明, 谭頔凡. 指导老师: 刘渝, 周可.), 2023.04.
中关村空间信息产业技术联盟，第五届"北斗+"创新创业大赛，全国总决赛，第四名，《善睐盒子-遥感智能应急一站式服务》(队员: 郑明晗, 赵哲泷, 余润杰, 邢广杰, 谭頔凡, 许志康. 指导老师: 周可, 张东映, 刘渝.), 2023.05.
工业部和信息化部、教育部、江苏省人民政府, 第十一届"中国软件杯", 大学生软件设计大赛, 总决赛, 三等奖, 《高性能分析型连接查询设计与实现》(队员: 蔡宝清, 郑璟泓. 指导老师: 刘渝, 周可.), 2022.08.
腾讯科技(深圳)有限公司, 第二届"腾讯开悟多智能体强化学习大赛", 总决赛, 第6名 (队员: 谢延昭, 刘一真, 谭頔凡. 指导老师: 王桦, 刘渝, 周可.), 2022.04.
教育部、中央统战部、央网络安全和信息化领导小组办公室、国家发展和改革委员会、工业和信息化部、人力资源和社会保障部、农业农村部、中国科学院、中国工程院、国家知识产权局、国家乡村振兴局、共青团中央、江西省人民政府, 第七届中国国际"互联网+"大学生创新创业大赛, 产业赛道, 国赛, 金奖, 《数据库智能管家的创新与探索》(队员: 周瑞松, 张光钰, 蔡宝清, 方浩天, 狄时禹. 指导老师: 刘渝, 李春花, 周可.), 2021.10.
教育部、中央网络安全和信息化领导小组办公室、国家发展和改革委员会、工业和信息化部、人力资源和社会保障部、国家知识产权局、中国科学院、中国工程院、共青团中央、陕西省人民政府, 第三届中国"互联网+"大学生创新创业大赛, 国赛, 金奖, 《M-Cloud: 智慧存储云》(队员: 肖芳, 胡莹莹, 严洁, 刘渝, 陈晓玥, 杨龙萍. 指导老师: 周可.), 2017.09.
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已授权
一种内容筛选存储方法及系统. ZL 202010819959.3. CN 111984807 B. 周可; 刘渝; 汪洋涛; 管飞宇.
Method for valuation of image dark data based on similarity hashing. US 16/526967. US 11138479B2. Ke ZHOU; Yu LIU; Yujuan YANG; Hua WANG; Chunhua LI; Yangtao WANG; Yifei LIU.
一种基于内容语义元数据的图像查询方法与系统. ZL 201910546661.7. CN 110413807 B. 周可; 刘毅斐; 刘渝; 汪洋涛; 杨玉娟.
一种基于元数据图的元数据组织管理方法和系统. ZL 201710461529.7. CN 107291875 B. 周可; 王桦; 邹楠; 刘渝; 杨玉娟.
暗数据评估系统V1.0, 2022SR0935241, 原始取得, 全部权利, 2022.05.01
基于内容的无监督暗数据索引系统V1.0, 2022SR0934386, 原始取得, 全部权利, 2022.04.01
基于标签共现关系的多标签数据索引系统V1.0, 2022SR0935388, 原始取得, 全部权利, 2022.04.01
暗数据存储系统V1.0, 2022SR0935663, 原始取得, 全部权利, 2021.01.01
申请中
一种多媒体数据的哈希生成模型的构建方法及应用. ZL 202310276840.X. 韩凯, 刘渝, 周可.
一种基于对象大小感知的自适应缓存插入方法及系统. ZL 202311783796.8. 王鹏, 刘渝, 周可, 邱思宇.
一种基于重构对抗训练的数据库系统异常检测方法和装置. ZL 202311416862.8. 刘渝, 魏如凯, 周可, 张永强.
一种网络流量异常检测方法及系统. ZL 202310503241.7. 刘渝, 夷洲, 周可.
一种基于强化学习的分布式存储系统自动调参方法及系统. ZL 202310059553.3. 刘渝, 夷洲, 周可, 李强, 张海军, 孙斌.
一种磁盘故障预测模型的构建方法及应用. ZL 202211642693.5
一种缓存方法、高效图像语义检索方法和系统. ZL 202011333525.9
二阶相似感知的图像哈希码提取模型建立方法及其应用. ZL 202011059408.8
二阶相似性感知的自学习图嵌入深度哈希算法. ZL 202011059408.8. 刘渝, 汪洋涛, 周可.
一种基于节点表征的无监督深度哈希模型训练方法及图像检索方法. ZL 202011100519.2. 汪洋涛, 刘渝, 李春花, 牛中盈, 王冲, 周可.
一种图像检索方法和系统. ZL 201810637971.5. 周可, 刘渝, 汪洋涛.
As the old saying goes: Unity is strength. Cooperation and win-win.
B536 New_WNLO HUST
1037, Luoyu, Hongshan
Wuhan, Hubei, China
liu_yu@hust.edu.cn
lightyear416@163.com
lightyear416@gmail.com
Mobile: (+86) 13429882168
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