FPGA based implementation of deep neural networks using on-chip memory only. - Jinhwan Park; Wonyong Sung (ICASSP, 2016)

Architecture exploration of a programmable neural network processor for embedded systems. - Wonyong Sung; Jinhwan Park (SAMOS, 2016)

FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. - Minjae Lee; Kyuyeon Hwang; Jinhwan Park; Sungwook Choi; Sungho Shin; Wonyong Sung (SiPS, 2016)

Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks. - Iksoo Choi; Jinhwan Park; Wonyong Sung (INTERSPEECH, 2018)

Hierarchical Recurrent Neural Networks for Acoustic Modeling. - Jinhwan Park; Iksoo Choi; Yoonho Boo; Wonyong Sung (INTERSPEECH, 2018)

Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. - Jinhwan Park; Yoonho Boo; Iksoo Choi; Sungho Shin; Wonyong Sung (NeurIPS, 2018)

On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns. - Yoonho Boo; Jinhwan Park; Lukas Lee; Wonyong Sung (SLT, 2018)

Single Stream Parallelization of Recurrent Neural Networks for Low Power and Fast Inference. - Wonyong Sung; Jinhwan Park (CoRR, 2018)

Simple Gated Convnet for Small Footprint Acoustic Modeling. - Lukas Lee; Jinhwan Park; Wonyong Sung (ASRU, 2019)

Exploration of On-device End-to-End Acoustic Modeling with Neural Networks. - Wonyong Sung; Lukas Lee; Jinhwan Park (SiPS, 2019)

HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. - Sungho Shin; Jinhwan Park; Yoonho Boo; Wonyong Sung (AAAI, 2020)

Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks. - Jinhwan Park; Xue Qian; Youngmin Jo; Wonyong Sung (ICASSP, 2020)

Effect of Adding Positional Information on Convolutional Neural Networks for End-to-End Speech Recognition. - Jinhwan Park; Wonyong Sung (INTERSPEECH, 2020)

S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima. - Wonyong Sung; Iksoo Choi; Jinhwan Park; Seokhyun Choi; Sungho Shin (CoRR, 2020)

Convolution-Based Attention Model With Positional Encoding For Streaming Speech Recognition On Embedded Devices. - Jinhwan Park; Chanwoo Kim 001; Wonyong Sung (SLT, 2021)

Macro-Block Dropout for Improved Regularization in Training End-to-End Speech Recognition Models. - Chanwoo Kim 001; Sathish Indurti; Jinhwan Park; Wonyong Sung (SLT, 2022)

Conformer-Based on-Device Streaming Speech Recognition with KD Compression and Two-Pass Architecture. - Jinhwan Park; Sichen Jin; Junmo Park; Sungsoo Kim; Dhairya Sandhyana; Changheon Lee; Myoungji Han; Jungin Lee; Seokyeong Jung; Changwoo Han; Chanwoo Kim 001 (SLT, 2022)

A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer. - Kyungmin Lee; Haeri Kim; Sichen Jin; Jinhwan Park; Youngho Han (INTERSPEECH, 2023)

On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition. - Nagaraj Adiga; Jinhwan Park; Chintigari Shiva Kumar; Shatrughan Singh; Kyungmin Lee; Chanwoo Kim 001; Dhananjaya Gowda (CoRR, 2023)