姓名：

李洪亮

性别：

男

职称：

副教授

是否博导：

是

最高学历：

研究生

最高学位：

博士

Email：

个人主页：

基本信息：

      李洪亮，博士、副教授、博士生导师，担任中国计算机学会分布式计算与系统专业委员会执行委员。于2012年在吉林大学计算机学院获得博士学位、曾于2011年在加拿大多伦多大学做访问学者、于2011年在加拿大Platform Computing   Inc.任软件工程师，于2016-2017年在美国天普大学吴杰教授课题组做博士后访问学者。曾获吉林省科技进步一等奖 1 项，中国商业联合会科技进步一等奖 1 项，所负责的“云计算技术”系列课程获批国家级一流本科课程虚拟仿真课程和吉林省一流本科课程国家，获 ACM 中国新星奖和 IBM 优秀教师奖教金等个人奖项。

主要面向云计算、数据中心和高性能计环境，研究系统资源调度和各类并行作业容错方法等，近年来主要开展大规模深度学习作业的分布式深度学习集群环境中的资源调度和容错优化研究。主持国家自然基金项目等国家级科研项目 2 项，省级科研项目 1 项，国际合作项目 1 项；参与国家级/省级科研项目 5 项等，相关成果发表论文 40 余篇，获得国家发明专利 8 项。

教学方面主要负责云计算技术和分布式存储等系列课程的建设工作，其中“云计算技术综合虚拟仿真实验”课程获批国家级一流本科课程虚拟仿真课程和吉林省一流本科课程。

所研究方向：

分布式计算, 调度算法，容错，云计算

招生信息：

所在学科专业：计算机系统结构

招收博士/硕士研究生、本科实习生，欢迎同学们联系研讨。

讲授课程：

《云计算技术A》，计算机学院本科生选修课

《云计算技术B》，计算机学院本科生限选课

《云计算技术》，软件学院本科生限选课

《分布式存储》，软件学院本科生必修课

《分布式计算和云计算》，计算机学院研究生选修课

《云计算技术》，软件学院研究生选修课

《云计算技术综合虚拟仿真实验》获国家级一流本科课程

教育经历：

2011-2011，加拿大，多伦多大学，访问学者

2009-2012，吉林大学，太阳成集团tyc4633，博士

2006-2009，吉林大学，太阳成集团tyc4633，硕士

2002-2006，吉林大学，太阳成集团tyc4633，本科

工作经历：

2016至今，吉林大学，太阳成集团tyc4633，副教授

2016-2017，美国，天普大学，博士后访问学者

2012-2016，吉林大学，太阳成集团tyc4633，讲师

2011-2011，加拿大，Platform Computing   Inc.，软件工程师

科研项目：

吉林省科技厅，面上项目，在研

国家自然基金，青年科学基金，结题

国家重点研发计划项目，子课题，结题

IBM国际合作项目，结题

学术论文：

Selected   Publications

Journal   Papers

[1] H.   Li, Z. Wang, H. Zhao, M. Zhang, X. Li, H. Xu. Convergence-aware Optimal   Checkpointing for Exploratory Deep Learning Training Jobs. Future   Generation Computer Systems (FGCS), Nov. 2024. (EA). 中科院一区

[2] H.   Li, H. Zhao, T. Sun, X. Li, H. Xu, K. Li. Interference-aware   Opportunistic Job Placement for Shared Distributed Deep Learning Clusters. Journal   of Parallel and Distributed Computing (JPDC), Jan. 2024. CCF-B类DOI:10.1016/j.jpdc.2023.104776

[3] Z.   Xu, X Wei, J Hao, J Han, H Li*, C L, Z Li, D Tian, N Zhang. DGFormer:   A Physics-Guided Station Level Weather Forecasting Model with Dynamic   Spatial-Temporal Graph Neural Network, GeoInformatica, Feb. 2024. CCF-B类DOI:10.1007/s10707-024-00511-1  

[4] Z.   Xu, X, Wei, J. Hao, J. Li, H. Li*, Z. Ding, S. Li. HiRM: Hierarchical   Resource Management for Earth System Models on Many-core Clusters. CCF   Transactions on High Performance Computing (THPC). Jan. 2024. CCF-C类DOI:10.1007/s42514-023-00176-6

[5] H.   Li, J. Wu, Z. Jiang, X. Li, X. Wei. A Task Allocation Method for Stream   Processing with Recovery Latency Guarantee. Journal of Computer Science   and technology (JCST), vol.33, no.6, pp.1125-1139, 2018.11. (CCF-B类) DOI:10.1007/s11390-018-1876-6  

[6] H.   Li, J. Wu, Z. Jiang, X. Li, X. Wei. Minimum Backups for Stream Processing   with Recovery Latency Guarantees. IEEE Transactions on Reliability,   vol.66, no.99, pp.1-12. 2017. (中科院二区) DOI:10.1109/TR.2017.2712563

[7] X.   Wei, L. Li, X. Li, X. Wang, S. Gao. H. Li. Pec: Proactive Elastic   Collaborative Resource Scheduling in Data Stream Processing. IEEE   Transactions on Parallel and Distributed Systems (TPDS), vol. 30. No. 7,   pp. 1628-1642, July 1 2019. (CCF-A类) DOI:10.1109/TPDS.2019.2891587

[8] X.   Wei, Z. Xu, H. Li, Z. Ding. Coordinated process scheduling algorithms   for coupled earth system models. Concurrency and Computation: Practice and   Experience (CCPE), e6346, Oct 25, 2021. (CCF-C类)

[9] Y.   Zhuang, X. Wei, H. Li, Y. Wang, X. He. An optimal checkpointing model   with online OCI adjustment for stream processing applications. Concurrency   and Computation: Practice and Experience (CCPE). June 10, 2019. (CCF-C类) DOI:10.1002/cpe.5347

[10] X.   Wei, Y. Zhuang, H. Li, Z. Liu. Reliable stream data processing for   elastic distributed stream processing systems. Cluster Computing. May   21, 2019. (中科院三区) DOI:10.1007/s10586-019-02939-9

[11] W.   Wei, X. Wei, H. Li. Topology-aware Task Allocation for Online   Distributed Stream Processing Applications with Latency Constraints. Physica   A: Statistical Mechanics and its Applications. Vol. 534, Nov. 15, 2019. (中科院二区) DOI:10.1016/j.physa.2019.122024

[12] X.   Wei, H. Li, K. Yang, L. Zou. Topology-aware Partial Virtual Cluster   Mapping Algorithm on Shared Distributed Infrastructures. IEEE Transactions   of Parallel and Distributed Systems (TPDS), vol.25, no.10, pp.2721-2730,   October 2014. (CCF-A类) DOI:10.1109/TPDS.2013.224

[13] H.   Li, X. Wei, Q. Fu, Y. Luo. MapReduce Delay Scheduling with Deadline   Constraint. Concurrency and Computation: Practice and Experience (CCPE),   vol.26, no.3, pp.766-778, March 10, 2014. (CCF-C类) DOI:10.1002/cpe.3050

[14] X.   Wei, Y. Jin, H. Li, X. Wang and S. Hu. Virtual Resource Consolidation   for Green Computing Based on Virtual Cluster Live Migration. Journal of   Communications, vol.11, no.2, pp.192-202, February 2016.   DOI:10.12720/jcm.11.2.192-202

[15] X.   Wei, W. Li, H. Tian, H. Li, H. Xu, T. Xu. THC-MP: High Performance   Numerical Simulation of Reactive Transport and Multiphase Flow in Porous   Media. Computers & Geosciences, vol. 80, pp.26-37, 2015.

[16] X.   Wei, X. Bai, S. Bai and H. LI. On-demand Tile Preload for Large-scale   Seismic Data 3D-visualization. Journal of Computational Information   Systems, vol.11, no.4, pp.1513-1520, February 2015.   DOI:10.12733/jcis13585

[17] X.   Wei, S. Hu, H. Li, F. Yang, Y. Jin. A survey on virtual network embedding   in cloud computing centers. Open Automation and Control Systems Journal,   vol.6, no.1, pp.414-425, 2014.

[18] X.   Wei, H. Li, L. Hu, Q. Guo, N. Jiang. LimeVI: A Platform for Virtual   Cluster Live Migration over WAN. International Journal of Computer Systems   Science and Engineering (CSSE), vol.26, No.5, pp.353-364, September 2011.

Conference   Papers

[1] H.   Li, H. Zhao, Z. Xu, X. Li, and H. Xu. ExplSched: Maximizing Deep Learning   Cluster Efficiency for Exploratory Jobs. IEEE International Conference on   Cluster Computing (CLUSTER 2023), Oct. 31, 2023, Santa Fe, New Mexico,   USA. (CCF-B 类)

[2] H.   Zhao, X. Li, H. Li*. Visage: Visual-Aware Generation of Adversarial   Examples in Black-Box for Text Classification. The 13th CCF International   Conference on Natural Language Processing and Chinese Computing (NLPCC 2024),   Nov. 1, 2024, Hangzhou, China. (the Best paper award)

[3] H.   Li, D. Xu, Z. Xu, X. Li. Hybrid Parameter Update: Alleviating Imbalance   Impacts for Distributed Deep Learning. 24th IEEE International Conference on   High Performance Computing and Communications (HPCC2022), Dec. 2022. (CCF-C类)

[4] H.   Li, T. Sun, X. Li, H. Xu. Job Placement Strategy with Opportunistic   Resource Sharing for Distributed Deep Learning Clusters. 2020 IEEE 22nd International   Conference on High Performance Computing and Communications (HPCC2020),   Dec. 2020. (CCF-C类)

[5] H.   Li, Z Xu, F. Tang, X. Wei, Z. Ding. CPSA: A Coordinated Process   Scheduling Algorithm for Coupled Earth System Model. 2020 29th International Conference   on Computer Communication and Networks (ICCCN), August 2020. (CCF-C类)

[6] Y.   Zhuang, X. Wei, H. Li, M. Hou, Y. Wang. Reducing Fault-tolerant   Overhead for Distributed Stream Processing with Approximate Backup. 2020 29th   International Conference on Computer Communication and Networks (ICCCN),   August 2020. (CCF-C类)

[7] Y.   Zhuang, X. Wei, H. Li, Y. Wang and X. He. An Optimal Checkpointing   Model with Online OCI Adjustment for Stream Processing Applications. 2018   27th International Conference on Computer Communication and Networks (ICCCN),   pp. 1-9, July 30 2018, Hangzhou, China. (CCF-C类) DOI:10.1109/ICCCN.2018.8487327

[8] H.   Li, J. Wu, Z. Jiang, X. Li, X. Wei. Task Allocation for Stream Processing   with Recovery Latency Guarantee. in Cluster Computing (CLUSTER), 2017   IEEE International Conference on. IEEE, 2017, pp. 379–383. (CCF-B类) DOI:10.1109/CLUSTER.2017.10

[9] H.   Li, J. Wu, Z. Jiang, X. Li, X. Wei, Y. Zhuang. Integrated Recovery and   Task Allocation for Stream Processing. 2017 IEEE 36th International   Performance Computing and Communications Conference (IPCCC), Dec. 10,   2017, San Diego, CA, USA. (CCF-C类) DOI:10.1109/PCCC.2017.8280443

获奖情况：

国家级一流本科课程虚拟仿真课程2023

吉林省科技进步一等奖2018
  中国商业联合会科学技术奖一等奖 2014
  CSC-IBM中国优秀教师奖教金 2014
  ACM中国新星奖2015
  HPC China 2015 会议优秀论文奖 2015