Zhishan Guo

Computer Science

Zhishan Guo is an associate professor in the Department of Computer Science at NC State University. His research interests lie in real-time scheduling theory, machine learning theory and their applications to Cyber-Physical Systems.

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Computer ScienceUNC - Chapel Hill2016
MPhilMaster of Philosophy in Mechanical and Automation EngineeringChinese University of Hong Kong2011
BEBachelor of Engineering in Computer Science and TechnologyTsinghua University2009
 

Honors and Awards

  • 2023 | ACM SIGBED CAREER Award
  • 2022 | UCF Reach for the Stars Award
  • 2021 | Best Industry Solution Award, RTSS
  • 2020 | Best Paper Award, EMSOFT
  • 2019 | Best Student Paper Award, RTSS
  • 2019 | Outstanding Paper Award, RTSS
  • 2014 | Outstanding (Faculty) Undergraduate Teaching Award, UNC-Chapel Hill

 

Publications

AA-forecast: anomaly-aware forecast for extreme events
Farhangi, A., Bian, J., Huang, A., Xiong, H., Wang, J., & Guo, Z. (2023), Data Mining and Knowledge Discovery, 37(3), 1209–1229. https://doi.org/10.1007/s10618-023-00919-7
Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model
Al Arafat, A., Vaidhun, S., Liu, L., Yang, K., & Guo, Z. (2023), 2023 IEEE 29TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM, RTAS, pp. 67–79. https://doi.org/10.1109/RTAS58335.2023.00013
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach
Hossain, M. S. B., Guo, Z., & Choi, H. (2023), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(6), 2829–2840. https://doi.org/10.1109/JBHI.2023.3262164
GLARE: A Dataset for Traffic Sign Detection in Sun Glare
Gray, N., Moraes, M., Bian, J., Wang, A., Tian, A., Wilson, K., … Guo, Z. (2023, July 28), IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 7. https://doi.org/10.1109/TITS.2023.3294411
Precise Mixed-Criticality Scheduling on Varying-Speed Multiprocessors
Vaidhun, S., She, T., Gu, Q., Das, S. K., Yang, K., & Guo, Z. (2023), IEEE Transactions on Computers. https://doi.org/10.1109/TC.2022.3197078
Real-Time Scheduling of Autonomous Driving System with Guaranteed Timing Correctness
Sun, J., Duan, K., Li, X., Guan, N., Guo, Z., Deng, Q., & Tan, G. (2023), 2023 IEEE 29TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM, RTAS, pp. 185–197. https://doi.org/10.1109/RTAS58335.2023.00022
SSDA: Secure Source-Free Domain Adaptation
Ahmed, S., Al Arafat, A., Rizve, M. N., Hossain, R., Guo, Z., & Rakin, A. S. (2023), 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), pp. 19123–19133. https://doi.org/10.1109/ICCV51070.2023.01757
Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification
Abdelzaher, T., Agrawal, K., Baruah, S., Burns, A., Davis, R. I. I., Guo, Z., & Hu, Y. (2023, March 13), REAL-TIME SYSTEMS, Vol. 3. https://doi.org/10.1007/s11241-023-09395-0
Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions
Reghenzani, F., Guo, Z., & Fornaciari, W. (2023), ACM Computing Surveys, 55(14S). https://doi.org/10.1145/3589950
TensorRT Implementations of Model Quantization on Edge SoC
Zhou, Y., Guo, Z., Dong, Z., & Yang, K. (2023), 2023 IEEE 16TH INTERNATIONAL SYMPOSIUM ON EMBEDDED MULTICORE/MANY-CORE SYSTEMS-ON-CHIP, MCSOC, pp. 486–493. https://doi.org/10.1109/MCSoC60832.2023.00078

View all publications via NC State Libraries

Zhishan Guo