教师介绍


刘楚波，男，副教授。2016年6月博士毕业于湖南大学。2016年7月至2018年9月在湖南大学从事博士后研究工作。研究方向涉及并行分布式计算、博弈论、体系结构、人工智能、近似算法与随机算法等。已在国际顶级期刊会议IEEE-TPDS、IEEE-TCC、IEEE-TMC、ACM-TOMPECS、DAC等发表论文30余篇，其中CCF-A类和SCI-1区论文10余篇。研究成果获IEEE-TCSC青年****奖、湖南省自然科学一等奖、中国产学研合作创新成果一等奖、IFIP-NPC-2019最佳论文奖和IEEE-ISPA杰出论文奖。同时担任IEEE-TPDS、IEEE-TCC、IEEE-TII等国际期刊审稿人。主持国家自然科学青年基金和面上项目各1项、作为课题骨干参与国家重点研发计划2项。

中文名： 刘楚波 英文名：
学历： 博士 职称： 副教授
联系电话： 电子邮件： liuchubo@hnu.edu.cn
研究方向： 并行分布式计算、博弈论、体系结构、人工智能
联系地址： 湖南省长沙市岳麓区麓山南路2号,湖南大学信息科学与工程学院312室（410082）
所属机构： 计算机科学系 学院教师




近期学术论文
(1)Chubo Liu, Fan Tang, Kenli Li, et al. Distributed Task Migration Optimization in MEC by Extending Multi-agent Deep Reinforcement Learning Approach. IEEE Transactions on Parallel and DistributedSystems, 2021, 32(7):1603-1614.(SCI 2区，CCF A类)
(2) Zihao Zeng, Chubo Liu, Zhuo Tang, et al.Training Acceleration for Deep Neural Networks: A Hybrid Parallelization Strategy. 58th ACM Design Automation Conference (DAC), 2021 (CCF A类，Accepted)
(3) Yan Ding,Chubo Liu, Xu Zhou et al.A Code-Oriented Partitioning Computation Offloading Strategy for Multiple Users and Multiple Mobile Edge Computing Servers.IEEE Transactions on Industrial Informatics, 2020, 16(7): 4800-4810. (JCR 1区)
(4)Chubo Liu,Kenli Li, Jie Liang, Keqin Li.COOPER-MATCH: Job Offloading with A Cooperative Game for Guranteeing Strict Deadlines in MEC. IEEE Transactions onMobile Computing, 2019, DOI: 10.1109/TMC.2019.**.(SCI 2区，CCF A类)
(5)Chubo Liu, Kenli Li, Jie Liang, Keqin Li. COOPER-SCHED: A Cooperative Scheduling Framework for Mobile Edge Computing with Expected Deadline Guarantee. IEEE Transactions on Parallel and DistributedSystems, 2019, DOI: 10.1109/TPDS.2019.**. (SCI 2区，CCF A类)
(6)Chubo Liu,Kenli Li, Jie Liang, Keqin Li. Service Reliability in an HC: Considering From the Perspective of Scheduling With Load-Dependent Machine Reliability.IEEE Transactions on Reliability, 2019, 68(2): 476-495.(SCI 3区)
(7)Chubo Liu, Kenli Li, Keqin Li. A Game Approach to Multi-servers Load Balancingwith Load-Dependent Server Availability Consideration. IEEETransactions on CloudComputing, 2018, DOI: 10.1109/TCC.2018.**.(JCR 1区)
(8)Chubo Liu, Kenli Li, Keqin Li, Rajkumar Buyya. A New Cloud Service Mechanismfor Profit Optimizations of a Cloud Provider and Its Users. IEEE Transactions on CloudComputing, 2018, DOI: 10.1109/TCC.2017.**.(JCR 1区)
(9)Chubo Liu, Kenli Li, Zhuo Tang, Keqin Li. Bargaining Game Based Scheduling forPerformance Guarantees in Cloud Computing. ACM Transactions on Modeling and PerformanceEvaluation of Computing Systems, 2018, 3(1): 1-25.
(10)Chubo Liu, Kenli Li, Keqin Li. Minimal Cost Server Configuration for Meeting Time-Varying Resource Demands in Cloud Centers. IEEE Transactions on Parallel and DistributedSystems, 2018, 29(11): 2503-2513. (SCI 2区，CCF A类)
(11)Chubo Liu, Kenli Li, Chengzhong Xu, Keqin Li. Strategy Configurations of Multiple Users Competition for Cloud Service Reservation. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(2):508-520.(SCI 2区，CCF A类)
(12)Kenli Li, Chubo Liu, Keqin Li, Albert Y. Zomaya. A Framework of Price Bidding Configurations for Resource Usage in Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(8): 2168-2181. (SCI 2区，CCF A类)
(13)Kenli Li, Chubo Liu, Keqin Li. An approximation algorithm based on game theory for scheduling simple linear deteriorating jobs. Theoretical Computer Science, 2014, 543: 46-51. (SCI 4区，CCF B类)
(14)Yikun Hu, Chubo Liu, Kenli Li, Xuedi Chen, Keqin Li. Slack allocation algorithm for energy minimization in cluster systems. Future Generation Computer Systems, 2017, 74: 119-131. (SCI 2区，CCF C类)
(15)Junyan Hu, Kenli Li, Chubo Liu, Keqin Li. A Game-Based Price Bidding Algorithm forMulti-attribute Cloud Resource Provision. IEEE Transactions on Services Computing,2018, DOI: 10.1109/TSC.2018.**.(SCI 2区，CCF B类)
(16)Xuedi Chen Kenli Li, Chubo Liu, Keqin Li. SLA-based energy aware scheduling of precedence-constrained applications on DVFS-enabled clusters. 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2014: 336-343. (CCF C类)

科研项目
1.国家自然科学基金面上项目，**，深度学习计算服务化异步并行处理体系结构研究，2021/01-2024/12，在研，主持
2.国家自然科学基金青年项目，**，基于博弈论的云提供商及其用户效益协同优化服务机制和策略，2018/01-2020/12，结题，主持
3.国家自然科学基金面上项目，**，面向边计算服务质量优化的博弈论方法研究，2019/01-2022/12，在研，参与