Tae Won Kim - RankMe

Year	Rank	Type	Title / Venue / Authors
2021	A	`conf`	Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping by State Representation Learning Based on a Preprocessed Input Image. IROS Tae Won Kim, Yeseong Park, Youngbin Park, Sang Hyoung Lee, Il Hong Suh
2020	J	`jnl`	Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image. CoRR Tae Won Kim, Yeseong Park, Youngbin Park, Il Hong Suh
2017	J	`jnl`	The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. CoRR Jens B. Stephansen, Aditya Ambati, Eileen B. Leary, Hyatt E. Moore IV, Oscar Carrillo, Ling Lin, Birgit Högl, Ambra Stefani, Seung Chul Hong, Tae Won Kim, Fabio Pizza, Giuseppe Plazzi, Stefano Vandi, Elena Antelmi, Dimitri Perrin, Samuel T. Kuna, Paula K. Schweitzer, Clete Kushida, Paul E. Peppard, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot
2005	J	`jnl`	A Transparent, High Barrier, and High Heat Substrate for Organic Electronics. Proc. IEEE Min Yan, Tae Won Kim, Ahmet Gün Erlat, Matthew Pellow, Donald F. Foust, Jie Liu, Marc Schaepkens, Christian M. Heller, Paul A. McConnelee, Thomas P. Feist, Anil R. Duggal
2003	A	`conf`	Task description language for underwater robots. IROS Tae Won Kim, Junku Yuh
2002	J	`jnl`	Application of on-line neuro-fuzzy controller to AUVs. Inf. Sci. Tae Won Kim, Junku Yuh
2001	A*	`conf`	A Novel Neuro-Fuzzy Controller for Autonomous Underwater Vehicles. ICRA Tae Won Kim, Junku Yuh
1996	A*	`conf`	A visual servoing algorithm using fuzzy logics and fuzzy-neural networks. ICRA Il Hong Suh, Tae Won Kim
1995	J	`jnl`	Analysis and design of two types of digital repetitive control systems. Autom. Woo Sok Chang, Il Hong Suh, Tae Won Kim
1994	J	`jnl`	Fuzzy membership function based neural networks with applications to the visual servoing of robot manipulators. IEEE Trans. Fuzzy Syst. Il Hong Suh, Tae Won Kim
1991	A	`conf`	Visual servoing by a fuzzy reasoning method. IROS Il Hong Suh, Tae Won Kim, Shin Heu, Sang-Rok Oh

Year

Rank

Type

Title / Venue / Authors

2021

conf

Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping by State Representation Learning Based on a Preprocessed Input Image.

IROS

Tae Won Kim, Yeseong Park, Youngbin Park, Sang Hyoung Lee, Il Hong Suh

2020

jnl

Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image.

CoRR

Tae Won Kim, Yeseong Park, Youngbin Park, Il Hong Suh

2017

jnl

The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy.

CoRR

Jens B. Stephansen, Aditya Ambati, Eileen B. Leary, Hyatt E. Moore IV, Oscar Carrillo, Ling Lin, Birgit Högl, Ambra Stefani, Seung Chul Hong, Tae Won Kim, Fabio Pizza, Giuseppe Plazzi, Stefano Vandi, Elena Antelmi, Dimitri Perrin, Samuel T. Kuna, Paula K. Schweitzer, Clete Kushida, Paul E. Peppard, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot

2005

jnl

A Transparent, High Barrier, and High Heat Substrate for Organic Electronics.

Proc. IEEE

Min Yan, Tae Won Kim, Ahmet Gün Erlat, Matthew Pellow, Donald F. Foust, Jie Liu, Marc Schaepkens, Christian M. Heller, Paul A. McConnelee, Thomas P. Feist, Anil R. Duggal

2003

conf

Task description language for underwater robots.

IROS

Tae Won Kim, Junku Yuh

2002

jnl

Application of on-line neuro-fuzzy controller to AUVs.

Inf. Sci.

Tae Won Kim, Junku Yuh

2001

conf