Yu-Hsin’s paper on “Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks” has been accepted for publication in the Journal of Solid-State Circuits (JSSC) Special Issue on the 2016 International Solid State Circuits Conference (ISSCC)