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2020 – today
- 2024
[j21]Haein Cho, Soon-Yi Kang, Byungchan Kim
:
Alder-type partition inequality at the general level. Discret. Math. 347(11): 114157 (2024)- 2023
- [j20]Hyungbin Kim, Byungchan Kim, Yongho Kim, Cheolwoo You, Hyunhee Park:
K-FL: Kalman Filter-Based Clustering Federated Learning Method. IEEE Access 11: 36097-36105 (2023) - [j19]Byungchan Kim, Eunmi Kim:
Refined parity biases in integer partitions. Discret. Math. 346(4): 113308 (2023) - 2022
- [j18]Asher J. Albertson, Eric C. Landsness, Michelle J. Tang, Ping Yan, Hanyang Miao, Zachary P. Rosenthal, Byungchan Kim, Joseph C. Culver, Adam Q. Bauer, Jin-Moo Lee:
Normal aging in mice is associated with a global reduction in cortical spectral power and network-specific declines in functional connectivity. NeuroImage 257: 119287 (2022) - [c4]Byungchan Kim, Hyunhee Park:
Performance Analysis of HARQ in 2-step RACH Procedure Using Markov Chain Model. BWCCA 2022: 147-158 - 2021
- [j17]JiSun Huh, Byungchan Kim:
On the number of equivalence classes arising from partition involutions II. Discret. Math. 344(7): 112410 (2021) - 2020
- [j16]Byungchan Kim, Eunmi Kim, Jeremy Lovejoy:
Parity bias in partitions. Eur. J. Comb. 89: 103159 (2020) - [c3]Ki Hyun Kim, Sangwoo Shim, Yongsub Lim, Jongseob Jeon, Jeongwoo Choi, Byungchan Kim, Andre S. Yoon:
RaPP: Novelty Detection with Reconstruction along Projection Pathway. ICLR 2020
2010 – 2019
- 2018
- [j15]Jehanne Dousse, Byungchan Kim:
An overpartition analogue of q-binomial coefficients, II: Combinatorial proofs and (q, t)-log concavity. J. Comb. Theory A 158: 228-253 (2018) - [j14]Ravi V. Chacko, Byungchan Kim, Suh Woo Jung, Amy Daitch, Jarod Roland, Nicholas V. Metcalf, Maurizio Corbetta, Gordon L. Shulman, Eric C. Leuthardt:
Distinct phase-amplitude couplings distinguish cognitive processes in human attention. NeuroImage 175: 111-121 (2018) - 2017
- [j13]Byungchan Kim:
Group Actions on Partitions. Electron. J. Comb. 24(3): 3 (2017) - 2015
- [j12]Byungchan Kim, Eunmi Kim, Jeehyeon Seo:
Asymptotics for q-expansions involving partial theta functions. Discret. Math. 338(2): 180-189 (2015) - 2014
- [j11]Byungchan Kim, Eunmi Kim:
On the Subpartitions of the Ordinary Partitions, II. Electron. J. Comb. 21(4): 4 (2014) - 2013
- [j10]Byeong-Sang Kim, Shinsuk Park, Jae-Bok Song, Byungchan Kim:
Equilibrium point control of a robot manipulator using biologically-inspired redundant actuation system. Adv. Robotics 27(8): 567-579 (2013) - [j9]George E. Andrews, Song Heng Chan, Byungchan Kim:
The odd moments of ranks and cranks. J. Comb. Theory A 120(1): 77-91 (2013) - 2012
- [j8]Youn-Seo Choi, Byungchan Kim:
Partition identities from third and sixth order mock theta functions. Eur. J. Comb. 33(8): 1739-1754 (2012) - 2011
- [j7]Byungchan Kim:
Partition Statistics for Cubic Partition Pairs. Electron. J. Comb. 18(1) (2011) - [j6]Byungchan Kim:
Overpartition pairs modulo powers of 2. Discret. Math. 311(10-11): 835-840 (2011) - 2010
- [j5]Byungchan Kim:
On inequalities and linear relations for 7-core partitions. Discret. Math. 310(4): 861-868 (2010) - [j4]Bruce C. Berndt, Byungchan Kim, Ae Ja Yee:
Ramanujan's lost notebook: Combinatorial proofs of identities associated with Heine's transformation or partial theta functions. J. Comb. Theory A 117(7): 957-973 (2010) - [j3]Byungchan Kim, Jooyoung Park, Shinsuk Park, Sungchul Kang:
Impedance Learning for Robotic Contact Tasks Using Natural Actor-Critic Algorithm. IEEE Trans. Syst. Man Cybern. Part B 40(2): 433-443 (2010)
2000 – 2009
- 2009
- [j2]Byungchan Kim:
A short note on the overpartition function. Discret. Math. 309(8): 2528-2532 (2009) - [j1]Hyun K. Kim, Byungduk Kang, Byungchan Kim, Shinsuk Park:
Estimation of Multijoint Stiffness Using Electromyogram and Artificial Neural Network. IEEE Trans. Syst. Man Cybern. Part A 39(5): 972-980 (2009) - 2008
- [c2]Byungchan Kim, Byungduk Kang, Shinsuk Park, Sungchul Kang:
Learning robot stiffness for contact tasks using the natural actor-critic. ICRA 2008: 3832-3837 - 2007
- [c1]Byungduk Kang, Byungchan Kim, Shinsuk Park, Hyunkyu Kim:
Modeling of Artificial Neural Network for the Prediction of the Multi-Joint Stiffness in Dynamic Condition. IROS 2007: 1840-1845
Coauthor Index
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