Jinmook Lee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Learning Process

Top Venues

IEEE Trans. Circuits Syst.

Publications

Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CHI (2024)
Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CoRR (2024)
Jinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, Hoi-Jun Yoo
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices. IEEE Trans. Circuits Syst. (10) (2020)
Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Jinmook Lee, Hoi-Jun Yoo
A 146.52 TOPS/W Deep-Neural-Network Learning Processor with Stochastic Coarse-Fine Pruning and Adaptive Input/Output/Weight Skipping. VLSI Circuits (2020)
Kyuho Jason Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
The Development of Silicon for AI: Different Design Approaches. IEEE Trans. Circuits Syst. (12) (2020)
Juhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, Hoi-Jun Yoo
A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices. VLSI Circuits (2019)
Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, Hoi-Jun Yoo
LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16. ISSCC (2019)
Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision. IEEE J. Solid State Circuits 54 (1) (2019)
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture. VLSI Circuits (2019)
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2019)
Sanghoon Kang, Jinmook Lee, Changhyeon Kim, Hoi-Jun Yoo
B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification. VLSI Circuits (2018)
Donghyeon Han, Jinsu Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices. ISCAS (2018)
Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo
UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision. ISSCC (2018)
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo
DNPU: An Energy-Efficient Deep-Learning Processor with Heterogeneous Multi-Core Architecture. IEEE Micro 38 (5) (2018)
Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Youchang Kim, Hoi-Jun Yoo
Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Hoi-Jun Yoo
A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices. ISCAS (2017)
Jinmook Lee, Seongwook Park, Injoon Hong, Hoi-Jun Yoo
An Energy-Efficient Speech-Extraction Processor for Robust User Speech Recognition in Mobile Head-Mounted Display Systems. IEEE Trans. Circuits Syst. II Express Briefs (4) (2017)
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Juhyoung Lee, Hoi-Jun Yoo
An energy-efficient deep learning processor with heterogeneous multi-core architecture for convolutional neural networks and recurrent neural networks. COOL Chips (2017)
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Hoi-Jun Yoo
14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks. ISSCC (2017)
Jinmook Lee, Dongjoo Shin, Hoi-Jun Yoo
A 21mW low-power recurrent neural network accelerator with quantization tables for embedded deep learning applications. A-SSCC (2017)
Jinmook Lee, Seongwook Park, Injoon Hong, Hoi-Jun Yoo
An 8.3mW 1.6Msamples/s multi-modal event-driven speech enhancement processor for robust speech recognition in smart glasses. ESSCIRC (2016)
Seongwook Park, Sungpill Choi, Jinmook Lee, Minseo Kim, Junyoung Park, Hoi-Jun Yoo
14.1 A 126.1mW real-time natural UI/UX processor with embedded deep-learning core for low-power smart glasses. ISSCC (2016)
Seongwook Park, Junyoung Park, Kyeongryeol Bong, Dongjoo Shin, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications. IEEE Trans. Biomed. Circuits Syst. 9 (6) (2015)
Jinmook Lee, Seongwook Park, Injoon Hong, Hoi-Jun Yoo
A 3.13nJ/sample energy-efficient speech extraction processor for robust speech recognition in mobile head-mounted display systems. ISCAS (2015)
Seongwook Park, Kyeongryeol Bong, Dongjoo Shin, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications. ISSCC (2015)