Hawoong Jeong

Hawoong Jeong

KAIST

H-index: 52

Asia-South Korea

About Hawoong Jeong

Hawoong Jeong, With an exceptional h-index of 52 and a recent h-index of 28 (since 2020), a distinguished researcher at KAIST, specializes in the field of Complex Systems, Statistical Physics, Computational Physics, Network Science, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hidden multiscale organization and robustness of real multiplex networks

Spontaneous emergence of rudimentary music detectors in deep neural networks

From Empirical Observations to Universality: Dynamics of Deep Learning with Inputs Built on Gaussian mixture

Interplay of network structure and talent configuration on wealth dynamics

Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks

Untangling pair synergy in the evolution of collaborative scientific impact

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning

Hidden Multiscale Organization and Cascading Dynamics in Real Multiplex Networks

Hawoong Jeong Information

University

Position

Professor of Physics

Citations(all)

51342

Citations(since 2020)

9446

Cited By

48030

hIndex(all)

52

hIndex(since 2020)

28

i10Index(all)

102

i10Index(since 2020)

63

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Hawoong Jeong Skills & Research Interests

Complex Systems

Statistical Physics

Computational Physics

Network Science

Data Science

Top articles of Hawoong Jeong

Title

Journal

Author(s)

Publication Date

Hidden multiscale organization and robustness of real multiplex networks

Physical Review E

Gangmin Son

Meesoon Ha

Hawoong Jeong

2024/2/2

Spontaneous emergence of rudimentary music detectors in deep neural networks

Nature Communications

Gwangsu Kim

Dong-Kyum Kim

Hawoong Jeong

2024/1/2

From Empirical Observations to Universality: Dynamics of Deep Learning with Inputs Built on Gaussian mixture

arXiv preprint arXiv:2405.00642

Jaeyong Bae

Hawoong Jeong

2024/5/1

Interplay of network structure and talent configuration on wealth dynamics

arXiv preprint arXiv:2404.04175

Jaeseok Hur

Meesoon Ha

Hawoong Jeong

2024/4/5

Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks

arXiv preprint arXiv:2402.01338

Youngkyoung Bae

Seungwoong Ha

Hawoong Jeong

2024/2/2

Untangling pair synergy in the evolution of collaborative scientific impact

EPJ Data Science

Gangmin Son

Jinhyuk Yun

Hawoong Jeong

2023/12/1

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning

Yeongwoo Song

Hawoong Jeong

2023/10/13

Hidden Multiscale Organization and Cascading Dynamics in Real Multiplex Networks

arXiv preprint arXiv:2307.01293

Gangmin Son

Meesoon Ha

Hawoong Jeong

2023/7/3

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning

Seungwoong Ha

Hawoong Jeong

2023/7/3

Quantifying team chemistry in scientific collaboration

arXiv preprint arXiv:2202.07252

Gangmin Son

Jinhyuk Yun

Hawoong Jeong

2022/2/15

Identifying Generalized Neural Representation Across Hamiltonian Manifolds via Meta-learning

arXiv preprint arXiv:2212.01168

Yeongwoo Song

Hawoong Jeong

2022/12/2

Identifying Hamiltonian manifold in neural networks.

CoRR

Yeongwoo Song

Hawoong Jeong

2022

Learning heterogeneous interaction strengths by trajectory prediction with graph neural network

arXiv preprint arXiv:2208.13179

Seungwoong Ha

Hawoong Jeong

2022/8/28

Inferring dissipation maps from videos using convolutional neural networks

Physical Review Research

Youngkyoung Bae

Dong-Kyum Kim

Hawoong Jeong

2022/8/1

Unexpected advantages of exploitation for target searches in complex networks

Chaos: An Interdisciplinary Journal of Nonlinear Science

Youngkyoung Bae

Gangmin Son

Hawoong Jeong

2022/8/1

Estimating entropy production with odd-parity state variables via machine learning

Physical Review Research

Dong-Kyum Kim

Sangyun Lee

Hawoong Jeong

2022/4/20

Inertial effects on the Brownian gyrator

Physical Review E

Youngkyoung Bae

Sangyun Lee

Juin Kim

Hawoong Jeong

2021/3/25

Spontaneous emergence of music detectors in a deep neural network trained for natural sound recognition

bioRxiv

Gwangsu Kim

Dong-Kyum Kim

Hawoong Jeong

2021/10/28

Quantumness and thermodynamic uncertainty relation of the finite-time Otto cycle

Physical Review E

Sangyun Lee

Meesoon Ha

Hawoong Jeong

2021/2/22

Attaining entropy production and dissipation maps from Brownian movies via neural networks

arXiv preprint arXiv:2106.15108

Youngkyoung Bae

Dong-Kyum Kim

Hawoong Jeong

2021/6/29

See List of Professors in Hawoong Jeong University(KAIST)

Co-Authors

H-index: 164
Albert-László Barabási

Albert-László Barabási

North Eastern University

H-index: 89
Tamas Vicsek

Tamas Vicsek

Eötvös Loránd Tudományegyetem

H-index: 66
Reka Albert

Reka Albert

Penn State University

H-index: 51
B Kahng

B Kahng

Seoul National University

H-index: 45
Sue Moon

Sue Moon

KAIST

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