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刘莉

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讲师
导师类别：硕士生导师
性别：女
学历：博士研究生
学位：博士

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所属院系：计算机与人工智能学院
关联学科学院：
所属专业：计算机科学与技术
邮箱 : l_liu@wtu.edu.cn
工作电话 : 086-18627759961

个人简介

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刘莉，女，讲师，工学博士，2022年12月毕业于华中科技大学计算机系统结构专业，主要研究方向为数据存储和数据管理，具体包括键值存储系统性能优化、索引优化等。目前关注的研究方向包括向量索引和近似最近邻搜索优化。在DATE、ICPP、 DAC、SIGMOD、ICDE等国会议上发表论文10余篇，授权发明专利4项。获第八届中国国际“互联网+”大学生创新创业大赛-国赛金奖，指导研究生参加中国国际大学生创新创业大赛、iCAN、研究生创新实践系列赛事获国家级、省级奖项若干。

研究方向Research Directions

数据存储与数据管理,人工智能应用

2. 机电结构优化与控制研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行2. 机电结构优化与控制研究内容：在对机电结构进行分析和优化的基础上，运用控制理论进行结构参数的调整，使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计研究内容：以仿生结构为研究对象，运用连续体结构拓扑优化设计理论和方法，对多相仿生结构(机构)材料进行整体布局设计。整体布局设计。

研究成果

Li Liu, Long Chen, Feng Yu, Tao Peng, Xinrong Hu, and Minghua Jiang. UAV-LMDN: Lightweight Multi-scale Small Object Detection Network for Unmanned Aerial Vehicle Perspective. In International Conference on Computer Animation and Social Agents (CASA2024), pp. 57-71. Singapore: Springer Nature Singapore, 2024.
Li Liu, Yukun Chen, Feng Yu, Tao Peng, Xinrong Hu, and Minghua Jiang. LRDN: Lightweight Risk Detection Network for Power System Operations. In International Conference on Computer Animation and Social Agents (CASA2024), pp. 72-85. Singapore: Springer Nature Singapore, 2024.
Li Liu, Xinlei Zhou, Mingwei He, Feng Yu, Tao Peng, Xinrong Hu, and Minghua Jiang. A Real-Time Semantic Segmentation Network for Robotic Arm Grasp. In Computer Graphics International Conference (CGI 2024), pp. 179-191. Cham: Springer Nature Switzerland, 2024.
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. 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, CA, USA, April 3-7, 2023: 1126-1139.
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. 2022 International Conference on Management of Data (SIGMOD 2022), Philadelphia, PA, USA, June 12-17, 2022: 646-659.
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. 59th ACM/IEEE Design Automation Conference (DAC 2022), San Francisco, California, USA, July 10 - 14, 2022: 511-516.
Li Liu, Chunhua Li, Zhou Zhang, Yuhan Liu, Ke Zhou, Ji Zhang. A Data-aware Learned Index Scheme for Efficient Writes. 51st International Conference on Parallel Processing (ICPP 2022), Bordeaux, France, August 29 - September 1, 2022: 28:1-28:11.
Li Liu, Ke Zhou. PTierDB: Building Better Read-Write Cost Balanced Key-Value Stores for Small Data on SSD. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE 2021), Grenoble, France, February 1-5, 2021: 796-801.
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/IEEE Design Automation Conference (DAC 2020), San Francisco, CA, USA, July 20-24, 2020: 1-6.
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. In: Proceedings of 2019 International Conference on Management of Data (SIGMOD 2019), Amsterdam, The Netherlands, June 30 - July 5, 2019: 415-432
Li Liu, Hua Wang, Ke Zhou. An Optimized Implementation for Concurrent LSM-Structured Key-Value Stores. 2018 IEEE International Conference on Networking, Architecture and Storage (NAS 2018), Chongqing, China, October 11-14, 2018: 1-8.

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杨学周田艳萍祝建行袁王飞

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