Congratulations to Prof. Jason Cong and his co-authors, Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan for receiving the ICCAD 10-Year Retrospective Most Influential Paper Award for the paper titled “Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks” presented at the 2016 International Conference on Computer-Aided Design (ICCAD). The award was presented at ICCAD’2025 in Munich, Germany, on October 27, 2025.  The paper can be accessed from the IEEE Xplore at https://ieeexplore.ieee.org/document/7827589.