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Efficient Autonomous Driving System Design: From Software to Hardware., , , , , , , , and . ISVLSI, page 373-375. IEEE, (2022)Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware., , , , , , and . ISVLSI, page 24-29. IEEE Computer Society, (2016)Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China., , , , and . Remote. Sens., 16 (13): 2456 (July 2024)Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA., , , , , , and . FPT, page 227-230. IEEE, (2017)Real-time object detection towards high power efficiency., , , , , , , , , and 1 other author(s). DATE, page 704-708. IEEE, (2018)Compressed CNN Training with FPGA-based Accelerator., , , , , , and . FPGA, page 189. ACM, (2019)Efficient Computing Platform Design for Autonomous Driving Systems., , , , , , , , , and . ASP-DAC, page 734-741. ACM, (2021)Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud., , , , , , , and . FCCM, page 102-110. IEEE, (2020)From model to FPGA: Software-hardware co-design for efficient neural network acceleration., , , , , , and . Hot Chips Symposium, page 1-27. IEEE, (2016)SpCNA: An FPGA-based Accelerator for Point Cloud Convolutional Neural Networks., , , and . FCCM, page 211. IEEE, (2023)