Exploring FPGA-GPU Heterogeneous Architecture for ADAS: Towards Performance and Energy. - Xiebing Wang; Linlin Liu; Kai Huang 001; Alois C. Knoll (ICA3PP, 2017)

Improving the performance of ADAS application in heterogeneous context: A case of lane detection. - Xiebing Wang; Mingyue Cui; Kai Huang 001; Alois C. Knoll; Long Chen 005 (ITSC, 2017)

Implementing and Parallelizing Real-time Lane Detection on Heterogeneous Platforms. - Xiebing Wang; Christopher Kiwus; Canhao Wu; Biao Hu 001; Kai Huang 001; Alois C. Knoll (ASAP, 2018)

h²ECU: A High-Performance and Heterogeneous Electronic Control Unit for Automated Driving. - Xiebing Wang; Kai Huang 001; Long Chen 005; Alois C. Knoll (IEEE Micro, 2018)

A Hybrid Framework for Fast and Accurate GPU Performance Estimation through Source-Level Analysis and Trace-Based Simulation. - Xiebing Wang; Kai Huang 001; Alois C. Knoll; Xuehai Qian (HPCA, 2019)

Peak Temperature Minimization for Hard Real-Time Systems Using DVS and DPM. - Mingchuan Zhou; Long Cheng 007; Manuel Dell'antonio; Xiebing Wang; Zhenshan Bing; M. Ali Nasseri; Kai Huang 001; Alois C. Knoll (J. Circuits Syst. Comput., 2019)

Performance Optimisation of Parallelized ADAS Applications in FPGA-GPU Heterogeneous Systems: A Case Study With Lane Detection. - Xiebing Wang; Kai Huang 001; Alois C. Knoll (IEEE Trans. Intell. Veh., 2019)

Efficient Performance Estimation and Work-Group Size Pruning for OpenCL Kernels on GPUs. - Xiebing Wang; Xuehai Qian; Alois C. Knoll; Kai Huang 001 (IEEE Trans. Parallel Distributed Syst., 2020)

Heterogeneous Computing for Advanced Driver Assistance Systems (Heterogenes Computing für fortschrittliche Fahrerassistenzsysteme) - Xiebing Wang (2020)