A Novel Architecture for Early Detection of Negative Output Features in Deep Neural Network Accelerators. - Mohammadreza Asadikouhanjani; Seok-Bum Ko (IEEE Trans. Circuits Syst., 2020)

Enhancing the Utilization of Processing Elements in Spatial Deep Neural Network Accelerators. - Mohammadreza Asadikouhanjani; Seok-Bum Ko (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

A Real-Time Architecture for Pruning the Effectual Computations in Deep Neural Networks. - Mohammadreza Asadikouhanjani; Hao Zhang 041; Gopalakrishnan Lakshminarayanan; Hyuk-Jae Lee; Seok-Bum Ko (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Efficient Approximate DNN Accelerators for Edge Devices: An Experimental Study. - Mohammadreza Asadikouhanjani; Hao Zhang 041; Kyunghwan Cho; Young-Jin Park; Seok-Bum Ko (Approximate Computing, 2022)

Approximate Computing for Efficient Neural Network Computation: A Survey. - Hao Zhang 041; Mohammadreza Asadikouhanjani; Jie Han 001; Deivalakshmi Subbian; Seok-Bum Ko (Approximate Computing, 2022)