Haikun Liu

Haikun Liu

Ph.D, Professor of Huazhong University of Science and Technology

个人介绍

个人介绍

刘海坤，博士，华中科技大学教授，博士生导师，国家“万人计划”青年拔尖人才入选者，湖北省杰出青年基金获得者。2012年于华中科技大学计算机系统结构专业博士毕业，2013.1-2015.1在新加坡南洋理工大学任研究员。目前主要从事内存计算、虚拟化/云计算等方向的研究。近年来主持国家重点研发计划课题2项、国家自然科学基金项目3项，以及上千万的华为横向技术合作项目。在ASPLOS/ISCA/HPCA/DAC/ICS/SC/HPDC等计算机顶级国际会议以及包括IEEE TC/TCAD/TPDS、ACM TACO/ToS、《中国科学》等CCF A/B类重要国际期刊上发表论文80多篇，论文累加被谷歌学术搜索引用2300多次，单篇最高600多次。获得专利授权18项，其中美国专利4项。博士论文被评为2012年度湖北省优秀博士论文，2016年获得ACM-Wuhan新星奖，2018年获教育部高等学校科学研究优秀成果奖自然科学一等奖，2020年获国家自然科学二等奖，上海市技术发明一等奖，2022年获得华为奥林帕斯先锋奖。多次担任知名国际会议如IEEE Big Data Congress、ICA3PP、ICPADS的程序委员会领域主席，以及国际顶级会议如SC/ICDCS/Cluster/CCGrid/ISMM等著名国际会议的PC 20多次。ACM/IEEE会员，CCF高级会员、CCF高性能计算专委会委员，CCF体系结构专委会委员。

联系方式

手 机 18871190722
通信地址 湖北武汉市洪山区珞喻路1037号计算机学院
Email hkliu@hust.edu.cn

教育背景

2007.9 - 2012.4 华中科技大学，计算机系统结构博士学位，导师: 金海教授
2004.9 - 2007.3 华中科技大学，计算机应用专业硕士学位，导师:胡和平教授
2000.9 - 2004.7 华北电力大学，计算机科学与技术专业学士学位

工作经历

2020.11 - 至今 华中科技大学，计算机学院，教授，博导
2015.11 -2020.10 华中科技大学，计算机学院，副教授，博导
2013.1 - 2015.1 南洋理工大学，计算机科学与工程学院，Research Fellow
2012.6 - 2015.10 华北电力大学，控制与计算机工程学院，讲师
2010.1 - 2011.1 美国韦恩州立大学，电气与计算机工程系，研究助理

奖励情况

2022年 多层级内存型存储系统与关键技术，华为公司奥林帕斯先锋奖
2021年 面向多租户资源竞争的云计算基础理论与核心方法，国家自然科学二等奖，2020-Z-107-2-03-R03
2020年 面向内存计算的软件定义关键技术及应用，上海市技术发明一等奖
2018年 云计算环境下虚拟机资源管理基础理论和核心方法，教育部自然科学一等奖
2016年 ACM-Wuhan新星奖
2013年 2013年湖北省优秀博士论文奖

会议论文

  • Haodi Lu, Haikun Liu∗, Chencheng Ye, Xiaofei Liao, Fubing Mao, Yu Zhang, Hai Jin, Software-Defined, Fast and Strongly-Consistent Data Replication for RDMA-Based PM Datastores, Proceedings of the 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS’23), May 15-19, 2023, St. Petersburg, Florida, USA, pp.90-101
  • Zhuohui Duan, Jiabo Yao, Haikun Liu*, Xiaofei Liao, Hai Jin, Yu Zhang. 2023. Revisiting Log-structured Merging for KV Stores in Hybrid Memory Systems. In Proceedings of the 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’23), March 25-29, 2023, Vancouver, Canada. ACM, New York, NY, USA, pp. 674–687
  • Tao Wang, Haikun Liu, Hai Jin, Efficient Remote Memory Paging for Disaggregated Memory Systems, Proceedings of the 22nd International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2022), Copenhagen, Denmark (Online), 10-12 October 2022, (Best Student Paper Award)
  • Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, and Hui Yu. 2022. TDGraph: a topology-driven accelerator for high-performance streaming graph processing. In Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA ‘22). ACM, New York, NY, USA, 116–129.
  • Fuping Niu, Jianhui Yue, Jiangqiu Shen, Xiaofei Liao, Haikun Liu and Hai Jin, “FlashWalker: An In-Storage Accelerator for Graph Random Walks,” Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022, pp. 1063-1073
  • Xiaofei Liao, Zhan Zhang, Haikun Liu*, and Hai Jin, Improving Bank-level Parallelism for In-memory Checkpointing in Hybrid Memory Systems, IEEE Transactions on Big Data, vol. 8, no. 2, pp. 289-301, 1 April 2022
  • Mingzhe Liu, Haikun Liu*, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu. 2022. Towards Low-Latency I/O Services for Mixed Workloads Using Ultra-Low Latency SSDs. In Proceedings of the 2022 International Conference on Supercomputing (ICS’22), June 28–30, 2022, Virtual Event, USA. ACM, New York, NY, USA, 12 pages.
  • Zhuohui Duan, Haobo Wang, Haikun Liu*, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao. 2022. CLIMBER: Defending Phase Change Memory Against Inconsistent Write Attacks. In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22), July 10–14, 2022, San Francisco, CA, USA. ACM, New York, NY, USA
  • Cong Liu, Haikun Liu*, Hai Jin, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li. 2022. ReGNN: A ReRAM-based Heterogeneous Architecture for General Graph Neural Networks. In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22), July 10–14, 2022, San Francisco, CA, USA. ACM, New York, NY, USA
  • Haikun Liu, Jiahong Xu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao, A Simulation Framework for Memristor-Based Heterogeneous Computing Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. vol.41, no.12, pp. 5476-5488, 2022
  • Hai Jin, Cong Liu, Haikun Liu, Ruikun Luo, Jiahong Xu, Fubing Mao, and Xiaofei Liao “ReHy: A ReRAM-Based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training,” in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 11, pp. 2872-2884, 1 Nov. 2022
  • Zhuohui Duan, Haodi Lu, Haikun Liu*, Xiaofei Liao, Hai Jin, Yu Zhang, Song Wu, Hardware-supported Remote Persistence for Distributed Persistent Memory, In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’21), St. Louis, MO, USA, November 14-19, 2021（CCF A类会议）
  • Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, HNGraph: Parallel Graph Processing in Hybrid Memory Based NUMA Systems, Proceedings of the 2021 IEEE International Conference on Cluster Computing (Cluster’21), Portland, OR, USA, September 7-10, 2021, pp.388-397
  • Zhuohui Duan, Haikun Liu*, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He, Gengar: An RDMA-based Distributed Hybrid Memory Pool, Proceedings of the International Conference on Distributed Computing Systems (ICDCS’21), July 7-10, 2021, Washington DC, USA, pp.92-103
  • Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu, DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. Proceedings of the IEEE International Symposium on High-Performance Computer Architecture (HPCA’21), Seoul, South Korea, February 27 - March 3, 2021，pp.371-384
  • Dang Yang, Haikun Liu*, Hai Jin and Yu Zhang, “HMvisor: Dynamic Hybrid Memory Management for Virtual Machines,” SCIENCE CHINA Information Sciences, 2021, 64(9): 192104:1-192104:16
  • Bo Tan, Haikun Liu*, Jia Rao, Xiaofei Liao, Hai Jin, Yu Zhang, Towards Lightweight Serverless Computing via Unikernel as a Function, Proceedings of 2020 IEEE/ACM International Symposium on Quality of Service (IWQoS 2020), June 15-17, 2020, pp.1-10
  • Haikun Liu*, Yuanyuan Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Wenbin Jiang, Bingsheng He, Space-Oblivious Compression and Wear Leveling for Non-Volatile Main Memories, Proceedings of 36th International Conference on Massive Storage Systems and Technology (MSST 2020), October 29-30, 2020
  • Zhuohui Duan, Haikun Liu*, Xiaofei Liao, Hai Jin, Wenbin Jiang and Yu Zhang, HiNUMA: NUMA-aware Data Placement and Migration in Hybrid Memory Systems, in Proceedings of 37th IEEE International Conference on Computer Design (ICCD’19), Abu Dhabi, United Arab Emirates, November 17 - 20, 2019, pp.367-375
  • Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, and Lin Gu. 2019. DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. In Proceedings of 2019 Architectural Support for Programming Languages and Operating Systems (ASPLOS’19), April 13-17, 2019, Providence, RI, USA. ACM, New York, NY, USA, pp.601-614
  • Song Wu, Die Hu, Shadi Ibrahim, Hai Jin, Jiang Xiao, Fei Chen, Haikun Liu, When FPGA-Accelerator Meets Stream Data Processing in the Edge. Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS’19), Dallas, TX, USA, July 7-10, 2019, pp.1818-1829
  • Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu, Towards Concurrency Race Debugging: An Integrated Approach of Constraint Solving and Dynamic Slicing, Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT’18), Limassol, Cyprus, Nov 01-04, 2018
  • Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu, CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing, Proceedings of the 2018 USENIX Annual Technical Conference (USENIX ATC’18), Boston, MA, USA, July 11–13, 2018, pp.441-452
  • Zhuohui Duan, Haikun Liu*, Xiaofei Liao, Hai Jin, HME: A Lightweight Emulator for Hybrid Memory, Proceedings of the Design, Automation, and Test in Europe (DATE 2018), Dresden, Germany, March 19-23, 2018, pp. 1375-1380 (CCF B类, Best Paper Nomination,13/766)
  • Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zhen and Rentong Guo. Hardware/Software Cooperative Caching for Hybrid DRAM/NVM Memory Architectures, Proceedings of the International Conference on Supercomputing (ICS 2017). Chicago, IL, USA, June 13-16, 2017, Article No.: 26, pp 1-10
  • Di Chen, Hai Jin, Xiaofei Liao, Haikun Liu*, Rentong Guo, Dong Liu, MALRU: Miss-penalty Aware LRU-based Cache Replacement for Hybrid Memory Systems, Proceedings of the Design, Automation, and Test in Europe (DATE 2017). Lausanne, Switzerland, March 27 - 31, 2017
  • Haikun Liu, Bingsheng He, “Reciprocal Resource Fairness: Towards Cooperative Multiple Resource Fair Sharing in IaaS Clouds”, International Conference for High Performance Computing, Networking, Storage and Analysis (SC’14), New Orleans, LA, USA, Nov. 16-21, 2014, pp. 970-981
  • Shanjiang Tang, Bu-Sung Lee, Bingsheng He, Haikun Liu, “Long-Term Resource Fairness: Towards Economic Fairness on Pay-as-you-use Computing Systems,” Proceedings of International Conference on Supercomputing (ICS’14), Munich, Germany, June 10-13, 2014, pp. 251-260
  • Haikun Liu, Cheng-Zhong Xu, Hai Jin, Jiayu Gong, Xiaofei Liao, “Performance and Energy Modeling for Live Migration of Virtual Machine”, Proceedings of the 20th ACM International Symposium on High Performance Parallel and Distributed Computing (HPDC’11), June 8-11, 2011, San Jose, CA, USA, pp.171-182. (Acceptance rate: 22/170 =13%，CCF B类会议, Google scholar统计截止2023 5. 11日已被引用606次,该系列会议近12年引用数第一)
  • Haikun Liu, Hai Jin, Xiaofei Liao, Liting Hu and Chen Yu, “Live Migration of Virtual Machine Based on Full System Trace and Replay”, Proceedings of the 18th International Symposium on High Performance Distributed Computing (HPDC’09), June 11-13, 2009, Munich, Germany, pp.101-110. (CCF B类顶级国际会议，Google scholar统计截止2016. 8. 11日已被引用332次)

期刊论文

  • Xiaofei Liao, Zhan Zhang, Haikun Liu*, and Hai Jin, Improving Bank-level Parallelism for In-memory Checkpointing in Hybrid Memory Systems, IEEE Transactions on Big Data, vol. 8, no. 2, pp. 289-301, 1 April 2022
  • Haikun Liu, Jiahong Xu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao, A Simulation Framework for Memristor-Based Heterogeneous Computing Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. vol.41, no.12, pp. 5476-5488, 2022
  • Hai Jin, Cong Liu, Haikun Liu, Ruikun Luo, Jiahong Xu, Fubing Mao, and Xiaofei Liao “ReHy: A ReRAM-Based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training,” in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 11, pp. 2872-2884, 1 Nov. 2022
  • Haikun Liu*, Di Chen, Hai Jin, Xiaofei Liao, Bin-sheng He, Kan Hu and Yu Zhang, A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions, Journal of Computer Science and Technology, 2021, 36(1): 4-32.
  • Haikun Liu, Renshan Liu, Xiaofei Liao, Hai Jin, Bingsheng He and Yu Zhang, “Object-level Memory Allocation and Migration in Hybrid Memory Systems,” IEEE Transactions on Computers, vol.69, no.9, September 2020, pp.1401-1413
  • Hai Jin, Di Chen, Haikun Liu*, Xiaofei Liao, Rentong Guo, and Yu Zhang, Miss Penalty Aware Cache Replacement for Hybrid Memory Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 12, Dec. 2020, pp. 4669- 4682
  • Hai Jin, Zhiwei Li, Haikun Liu*, Xiaofei Liao and Yu Zhang, “Hotspot-aware Hybrid Memory Management for In-Memory Key-Value Stores,” IEEE Transactions on Parallel and Distributed Systems, vol.31, no.4, April, 2020, pp.779-792
  • Haikun Liu*, Bingsheng He, Xiaofei Liao, Hai Jin, “Towards Declarative and Data-centric Virtual Machine Image Management in IaaS Clouds,” IEEE Transactions on Cloud Computing, vol.7, no.4, Dec. 2019, pp.1124-1138
  • Wenbin Jiang, Yang Ma, Bo Liu, Haikun Liu*, Bing Bing Zhou, Jian Zhu, Song Wu, and Hai Jin. 2019. Layup: Layer-adaptive and Multi-type Intermediate-oriented Memory Optimization for GPU-based CNNs. ACM Transactions on Architecture and Code Optimization (TACO), Vol.16, No.4, Article 39 (October 2019), 23 pages.
  • Xiaoyuan Wang, Haikun Liu*, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, and Song Jiang. Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. ACM Transactions on Architecture and Code Optimization (TACO). Vol. 16, No. 2, April, 2019, Article 11: 1-26
  • Haikun Liu*, Bingsheng He, F2C: Enabling Fair and Fine-grained Resource Sharing in Multi-tenant IaaS Clouds, IEEE Transactions on Parallel and Distributed Systems, Vol.27, No.9, September 2016, pp. 2589-2602
  • Haikun Liu*, Hai Jin, Xiaofei Liao, Wei Deng, Bingsheng He and Cheng-Zhong Xu, “Hotplug or Ballooning: A Comparative Study on Dynamic Memory Management Techniques for Virtual Machines,” IEEE Transactions on Parallel and Distributed Systems, Vol. 26, No. 5, May 2015, pp. 1350-1363
  • Haikun Liu* and Bingsheng He, “VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments,” IEEE Transactions on Parallel and Distributed Systems, Vol.26, No.4, April 2015, pp. 1192-1205
  • Haikun Liu, Hai Jin, Cheng-Zhong Xu, Xiaofei Liao, “Performance and Energy Modeling for Live Migration of Virtual Machine”, Cluster Computing, 2013, Vol.16, No.2, pp.249-264
  • Haikun Liu, Hai Jin, Xiaofei Liao, Bo Ma and Cheng-zhong Xu, “VMckpt: lightweight and live virtual machine checkpointing”, SCIENCE CHINA Information Sciences, 2012, Vol.55, No.12, pp. 2865-2880
  • Haikun Liu, Hai Jin, Xiaofei Liao, Chen Yu, and Cheng-zhong Xu, Live Virtual Machine Migration via Asynchronous Replication and State Synchronization, IEEE Transactions on Parallel and Distributed Systems, Vol. 22, No. 12, December 2011, pp.1986-1999.