Electrical & Computer Engineering Male Student working at computer
Hang Liu (Chinese: 刘航) is an assistant professor in the Department of Electrical and Computer Engineering of the University of Massachusetts Lowell. His research interests include exploiting emerging hardware — such as Graphics Processing Unit (GPU), Field-Programmable Gate Array (FPGA), high-end CPU and SSD — to build high-performance systems for graph computing, machine learning, computational omics, numerical simulation and cloud computing.  His representative publications appear in top tier conferences, such as, FAST ’17, SIGMOD ’16 and SC ’15. Particularly, his graph traversal systems are ranked highly in both Graph500 and Green Graph500 benchmarks, which measure the performance and energy efficiency of the most powerful supercomputers in the world.  Liu serves as a member of the program committees (PC) for several major conferences, i.e., IPDPS ’18, HPDC '18, ASPLOS ’18 (shadow PC) and Eurosys ’17 (shadow PC).
Hang LiuAssistant Professor
  • College
    Francis College of Engineering
  • Department
    Electrical & Computer Eng
  • Phone
    (978) 934-5497
  • Office
    Cumnock Hall - 6A
  • Email
  • Profile Links

Research Interests

High-Performance Computing for Graph Computing, Machine Learning, Numerical Simulation, and Computational Omics

Education

  • Ph D: Electrical & Computer Engineering , (2017), George Washington University - Washington DC, USA
  • BS: Software Engineering, (2011), Huazhong University of Science and Technology - Wuhan, China

Selected Publications

  • Liu, H., Huang, H. (2017) " Graphene: Fine-Grained IO Management for Graph Computing," FAST '17
  • Zhao, Y., Jian, Y., Liu, Z., Liu, H., Liu, Q., Chen, C., Li, Z., Wang, L., Huang, H.H., Zeng, C. (2017) "Network Analysis Reveals the Recognition Mechanism for Dimer Formation of Bulb-type Lectins.," Scientific Reports 7:1 pp. 2876
  • Mittal, R., Seo, J.H., Vedula, V., Choi, Y.J., Liu, H., Huang, H.H., Jain, S., Younes, L., Abraham, T., George, R.T. (2016) "Computational modeling of cardiac hemodynamics: Current status and future outlook.," Journal of Computational Physics 305: pp. 1065 - 1082
  • Liu, H., Huang, H., Hu, Y. (2016) "iBFS: Concurrent Breadth-First Search on GPU," Proceedings of ACM SIGMOD International Conference on Management of Data
  • Liu, H., Huang, H. (2015) "Enterprise: Breadth-First Graph Traversal on GPUs," Proceedings of International Conference for High Performance Computing, Networking, Storage and Analysis
  • Huang, H.H., Liu, H. (2014) "Big data machine learning and graph analytics: Current state and future challenges.," 2014 IEEE International Conference on Big Data (Big Data) pp. 16
  • Liu, H., Xiang, Y., Lan, T., Huang, H. (2014) "Optimizing Job Reliability via Contention-free, Distributed Scheduling of VM Checkpointing," Proceedings of the SIGCOMM Workshop on Distributed Cloud Computing
  • Liu, H., Seo, J., Mittal, R., Huang, H.H. (2013) "GPU-accelerated scalable solver for banded linear systems.," 2013 IEEE International Conference on Cluster Computing (CLUSTER) pp. 1
  • Liu, H., Seo, J., Mittal, R., Huang, H. (2012) "Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation," Proceedings of International Conference for High Performance Computing, Networking, Storage and Analysi