Wooseok Yi

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits 57 (6) (2022)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC (2020)
Wooseok Yi, Junki Park, Jae-Joon Kim
GeCo: Classification Restricted Boltzmann Machine Hardware for On-Chip Semisupervised Learning and Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Junki Park, Wooseok Yi, Daehyun Ahn, Jaeha Kung, Jae-Joon Kim
Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (9) (2020)
Wooseok Yi, Yulhwa Kim, Jae-Joon Kim
Effect of Device Variation on Mapping Binary Neural Network to Memristor Crossbar Array. DATE (2019)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jae-Joon Kim
BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation. DAC (2019)
Junki Park, Jaeha Kung, Wooseok Yi, Jae-Joon Kim
Maximizing system performance by balancing computation loads in LSTM accelerators. DATE (2018)
Wooseok Yi, Junki Park, Jae-Joon Kim
GeCo: classification restricted Boltzmann machine hardware for on-chip learning. RSP (2017)