CloudSocket: Smart grid platform for datacenters. - Seil Lee; Hanjoo Kim; Seongsik Park; Sei Joon Kim; Hyeokjun Choe; Chang-Sung Jeong; Sungroh Yoon (ICCD, 2016)

Near-Data Processing for Machine Learning. - Hyeokjun Choe; Seil Lee; Seongsik Park; Sei Joon Kim; Eui-Young Chung; Sungroh Yoon (CoRR, 2016)

CloudSocket: Fine-Grained Power Sensing System for Datacenters. - Seil Lee; Hanjoo Kim; Seongsik Park; Sei Joon Kim; Hyeokjun Choe; Sungroh Yoon (IEEE Access, 2018)

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. - Seongsik Park; Sei Joon Kim; Hyeokjun Choe; Sungroh Yoon (DAC, 2019)

Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models. - Hyunyoung Oh; Hayoon Yi; Hyeokjun Choe; Yeongpil Cho; Sungroh Yoon; Yunheung Paek (DATE, 2019)

Variance-stationary Differentiable NAS. - Hyeokjun Choe; Byunggook Na; Jisoo Mok; Sungroh Yoon (BMVC, 2021)

AdvRush: Searching for Adversarially Robust Neural Architectures. - Jisoo Mok; Byunggook Na; Hyeokjun Choe; Sungroh Yoon (ICCV, 2021)

Accelerating Neural Architecture Search via Proxy Data. - Byunggook Na; Jisoo Mok; Hyeokjun Choe; Sungroh Yoon (IJCAI, 2021)

AutoSNN: Towards Energy-Efficient Spiking Neural Networks. - Byunggook Na; Jisoo Mok; Seongsik Park; Dongjin Lee; Hyeokjun Choe; Sungroh Yoon (ICML, 2022)

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms? - Chanhui Lee; Juhyeon Kim; Yongjun Jeong; Juhyun Lyu; Junghee Kim; Sangmin Lee; Sangjun Han; Hyeokjun Choe; Soyeon Park; Woohyung Lim; Sungbin Lim; Sanghack Lee (CoRR, 2023)