Faculty Profile for Dr. Kecheng Yang

Selected Scholarly/Creative Work

• Jiang, Z., Yang, K., Fisher, N., Guan, N., Audsley, N., & Dong, Z. (2024). Hopscotch: A Hardware-Software Co-design for Efficient Cache Resizing on Multi-core SoCs. IEEE Transactions on Parallel and Distributed Systems (TPDS), 35(1), 89–104. https://doi.org/10.1109/TPDS.2023.3332711
• Guo, Z., Vaidhun, S., Arafat, A. A., Guan, N., & Yang, K. (2023). Stealing Static Slack via WCRT and Sporadic P-Servers in Deadline-Driven Scheduling. In Proceedings of the 44th IEEE Real-Time Systems Symposium (RTSS) (pp. 40–52). IEEE Computer Society Press. https://doi.org/10.1109/RTSS59052.2023.00014
• Zhou, Y., Guo, Z., Dong, Z., & Yang, K. (2023). TensorRT Implementations of Model Quantization on Edge SoC. In Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) (pp. 486–493). IEEE. https://doi.org/10.1109/MCSoC60832.2023.00078
• Tian, A., Guerra John, E., & Yang, K. (2023). Poster: Unraveling Reward Functions for Head-to-Head Autonomous Racing in AWS DeepRacer. In Proceedings of the 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), as part of the 8th National Workshop for REU Research in Networking and Systems (REUNS) (pp. 592–594). ACM Press. https://doi.org/10.1145/3565287.3617987
• McCalip, J., Pradhan, M., & Yang, K. (2023). Reinforcement Learning Approaches for Racing and Object Avoidance on AWS DeepRacer. In Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 958–961). IEEE Computer Society Press. https://doi.org/10.1109/COMPSAC57700.2023.00129