Jung Hoon Lee

Cmol crossnets as defect-tolerant classifiers

Jung Hoon Lee, 2007 .

Analysis of functional neural codes of deep learning models

S. Vijayan, Jung Hoon Lee, 2022, 2205.10952.

Architectures for nanoelectronic implementation of artificial neural networks: new results

Xiaolong Ma, Jung Hoon Lee, Özgür Türel, 2005, Neurocomputing.

Neuromorphic architectures for nanoelectronic circuits

Konstantin K. Likharev, Xiaolong Ma, Jung Hoon Lee, 2004, Int. J. Circuit Theory Appl..

Defect‐tolerant nanoelectronic pattern classifiers

Konstantin K. Likharev, Jung Hoon Lee, K. Likharev, 2007, Int. J. Circuit Theory Appl..

In Situ Training of CMOL CrossNets

Jung Hoon Lee, Konstantin Likharev, K. Likharev, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

CMOL CrossNets: Possible Neuromorphic Nanoelectronic Circuits

Xiaolong Ma, Jung Hoon Lee, Konstantin Likharev, 2005, NIPS.

CMOL CrossNets as Pattern Classifiers

Jung Hoon Lee, Konstantin Likharev, K. Likharev, 2005, IWANN.

Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models

You Jin Kim, Jung Hoon Lee, Yun Gyung Cheong, 2019, Proceedings of the Second Workshop on Storytelling.

Research of Quantitative Modeling that Classify Personal Color Skin Tone

Yong Hyeon Kim, Yu Seok Oh, Jung Hoon Lee, 2018 .