Automated, retargetable back-annotation for host compiled performance and power modeling. - Suhas Chakravarty; Zhuoran Zhao 001; Andreas Gerstlauer (CODES+ISSS, 2013)

Network/system co-simulation for design space exploration of IoT applications. - Zhuoran Zhao 001; Vasileios Tsoutsouras; Dimitrios Soudris; Andreas Gerstlauer (SAMOS, 2017)

Source-Level Performance, Energy, Reliability, Power and Thermal (PERPT) Simulation. - Zhuoran Zhao 001; Andreas Gerstlauer; Lizy K. John (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters. - Zhuoran Zhao 001; Kamyar Mirzazad Barijough; Andreas Gerstlauer (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices. - Rafael Stahl; Zhuoran Zhao 001; Daniel Mueller-Gritschneder; Andreas Gerstlauer; Ulf Schlichtmann (SAMOS, 2019)

Quality/Latency-Aware Real-time Scheduling of Distributed Streaming IoT Applications. - Kamyar Mirzazad Barijough; Zhuoran Zhao 001; Andreas Gerstlauer (ACM Trans. Embed. Comput. Syst., 2019)

Network-level Design Space Exploration of Resource-constrained Networks-of-Systems. - Zhuoran Zhao 001; Kamyar Mirzazad Barijough; Andreas Gerstlauer (ACM Trans. Embed. Comput. Syst., 2020)