An iterative pattern mapping for parallel string matching architecture in intrusion detection systems. - Hyunjin Kim 001 (IEICE Electron. Express, 2012)

A Memory-Efficient Bit-Split Pattern Matching Architecture Using Shared Match Vectors for Deep Packet Inspection. - Hyunjin Kim 001 (IEICE Trans. Commun., 2012)

PAC-k: A Parallel Aho-Corasick String Matching Approach on Graphic Processing Units Using Non-Overlapped Threads. - ThienLuan Ho; Seungrohk Oh; Hyunjin Kim 001 (IEICE Trans. Commun., 2016)

Circular Bit-Vector-Mismatches: A New Approximate Circular String Matching with k-Mismatches. - ThienLuan Ho; Seungrohk Oh; Hyunjin Kim 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

A Finite Automaton-Based String Matching Engine on Graphic Processing Unit. - JinMyung Yoon; KangIl Choi; Hyun Jin Kim 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

A New Fractional Binary-to-Decimal Number Conversion for Errorless Calculation. - Jinhyuck Kim; Hyun Jin Kim 001 (ICISA, 2018)

New algorithms for fixed-length approximate string matching and approximate circular string matching under the Hamming distance. - ThienLuan Ho; Seungrohk Oh; Hyunjin Kim 001 (J. Supercomput., 2018)

Correction to: New algorithms for fixed-length approximate string matching and approximate circular string matching under the Hamming distance. - ThienLuan Ho; Seungrohk Oh; Hyunjin Kim 001 (J. Supercomput., 2018)

A Cost-Efficient Iterative Truncated Logarithmic Multiplication for Convolutional Neural Networks. - Hyun Jin Kim 001; Min Soo Kim 003; Alberto A. Del Barrio; Nader Bagherzadeh (ARITH, 2019)

A Cost-Efficient Approximate Dynamic Ranged Multiplication and Approximation-Aware Training on Convolutional Neural Networks. - Hyun Jin Kim 001; Alberto A. Del Barrio (IEEE Access, 2021)

PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs. - Raul Murillo 001; Alberto A. Del Barrio; Guillermo Botella; Min Soo Kim 003; Hyunjin Kim 001; Nader Bagherzadeh (CoRR, 2021)

AresB-Net: accurate residual binarized neural networks using shortcut concatenation and shuffled grouped convolution. - Hyunjin Kim 001 (PeerJ Comput. Sci., 2021)

CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps. - Hyunjin Kim 001; Jungwoo Shin; Alberto A. Del Barrio (CoRR, 2022)

A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks. - Hyunjin Kim 001; Mohammed Alnemari; Nader Bagherzadeh (PeerJ Comput. Sci., 2022)

PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution. - Jungwoo Shin; Hyunjin Kim 001 (PeerJ Comput. Sci., 2022)

The Effects of Approximate Multiplication on Convolutional Neural Networks. - Min Soo Kim 003; Alberto A. Del Barrio; Hyun Jin Kim 001; Nader Bagherzadeh (IEEE Trans. Emerg. Top. Comput., 2022)

PLAM: A Posit Logarithm-Approximate Multiplier. - Raul Murillo 001; Alberto A. Del Barrio; Guillermo Botella; Min Soo Kim 003; Hyun Jin Kim 001; Nader Bagherzadeh (IEEE Trans. Emerg. Top. Comput., 2022)

HARD: Hardware-Aware Lightweight Real-Time Semantic Segmentation Model Deployable from Edge to GPU. - YoungWook Kwon; WanSoo Kim; Hyun Jin Kim 001 (ACCV (7), 2024)

1-D Spatial Attention in Binarized Convolutional Neural Networks. - Hyunjin Kim 001; Jungwoo Shin; Wansoo Kim; Alberto A. Del Barrio (ICASSP, 2024)

Low-biased probabilistic multipliers using complementary inaccurate compressors. - Hyun Jin Kim 001; Alberto A. Del Barrio (Digit. Signal Process., 2024)