The diameter of the world wide web - Réka Albert; Hawoong Jeong; Albert-László Barabási (CoRR, 1999)

Subnetwork hierarchies of biochemical pathways. - Petter Holme; Mikael Huss; Hawoong Jeong (Bioinform., 2003)

Analysis of topological characteristics of huge online social networking services. - Yong-Yeol Ahn; Seungyeop Han; Haewoon Kwak; Sue B. Moon; Hawoong Jeong (WWW, 2007)

Comparison of online social relations in volume vs interaction: a case study of cyworld. - Hyunwoo Chun; Haewoon Kwak; Young-Ho Eom; Yong-Yeol Ahn; Sue B. Moon; Hawoong Jeong (Internet Measurement Conference, 2008)

Community Identification in Directed Networks. - Youngdo Kim; Seung-Woo Son 003; Hawoong Jeong (Complex (2), 2009)

Phase Transition of Active Rotators in Complex Networks. - Seung-Woo Son 003; Hawoong Jeong; Hyunsuk Hong (Complex (1), 2009)

Inefficiency in Networks with Multiple Sources and Sinks. - Hyejin Youn; Michael T. Gastner; Hawoong Jeong (Complex (1), 2009)

Mining communities in networks: a solution for consistency and its evaluation. - Haewoon Kwak; Yoonchan Choi; Young-Ho Eom; Hawoong Jeong; Sue B. Moon (Internet Measurement Conference, 2009)

Understanding topological mesoscale features in community mining. - Sue B. Moon; Jinyoung You; Haewoon Kwak; Daniel Kim 001; Hawoong Jeong (COMSNETS, 2010)

Finite-Size Scaling in Random $K$-Satisfiability Problems - Sang Hoon Lee; Meesoon Ha; Chanil Jeon; Hawoong Jeong (CoRR, 2010)

Global organization of protein complexome in the yeast Saccharomyces cerevisiae. - Sang Lee; Pan-Jun Kim; Hawoong Jeong (BMC Syst. Biol., 2011)

The map equation for link community - Youngdo Kim; Hawoong Jeong (CoRR, 2011)

Fundamental Structural Constraint of Scale-Free Networks - Yongjoo Baek; Daniel Kim 001; Meesoon Ha; Hawoong Jeong (CoRR, 2012)

Anatomy of Scientific Evolution. - Jinhyuk Yun; Pan-Jun Kim; Hawoong Jeong (CoRR, 2014)

Scaling Properties in Time-Varying Networks with Memory. - Hyewon Kim; Meesoon Ha; Hawoong Jeong (CoRR, 2015)

Intellectual Interchanges in the History of Massive Online Open-editing Encyclopedia, Wikipedia. - Jinhyuk Yun; Sang Hoon Lee; Hawoong Jeong (CoRR, 2015)

Early Adhesion of Structural Inequality in the Formation of Collaborative Knowledge, Wikipedia. - Jinhyuk Yun; Sang Hoon Lee; Hawoong Jeong (CoRR, 2016)

Technological novelty profile and invention's future impact. - Daniel Kim 001; Daniel Burkhardt Cerigo; Hawoong Jeong; Hyejin Youn (EPJ Data Sci., 2016)

Understanding the Historic Emergence of Diversity in Painting via Color Contrast. - Byunghwee Lee; Daniel Kim 001; Hawoong Jeong; Seunghye Sun; Juyong Park (CoRR, 2017)

Emergence of Long-Term Memory in Popularity. - Hyungjoon Soh; Joo Hyung Hong; Jaeseung Jeong 002; Hawoong Jeong (CoRR, 2017)

Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning. - Seungwoong Ha; Hawoong Jeong (CoRR, 2020)

Learning entropy production via neural networks. - Dong-Kyum Kim; Youngkyoung Bae; Sangyun Lee; Hawoong Jeong (CoRR, 2020)

Uncovering Hidden Dependency in Weighted Networks via Information Entropy. - Mi Jin Lee; Eun Lee; Byunghwee Lee; Hawoong Jeong; Deok-Sun Lee; Sang Hoon Lee (CoRR, 2020)

Deep Reinforcement Learning for Feedback Control in a Collective Flashing Ratchet. - Dong-Kyum Kim; Hawoong Jeong (CoRR, 2020)

Explosive synchronization in multilayer dynamically dissimilar networks. - Sarika Jalan; Ajay Deep Kachhvah; Hawoong Jeong (J. Comput. Sci., 2020)

Discovering conservation laws from trajectories via machine learning. - Seungwoong Ha; Hawoong Jeong (CoRR, 2021)

Attaining entropy production and dissipation maps from Brownian movies via neural networks. - Youngkyoung Bae; Dong-Kyum Kim; Hawoong Jeong (CoRR, 2021)

Quantifying team chemistry in scientific collaboration. - Gangmin Son; Jinhyuk Yun; Hawoong Jeong (CoRR, 2022)

Identifying Hamiltonian manifold in neural networks. - Yeongwoo Song; Hawoong Jeong (CoRR, 2022)

Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network. - Seungwoong Ha; Hawoong Jeong (ICLR, 2023)

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning. - Seungwoong Ha; Hawoong Jeong (ICML, 2023)

Untangling pair synergy in the evolution of collaborative scientific impact. - Gangmin Son; Jinhyuk Yun; Hawoong Jeong (EPJ Data Sci., 2023)

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning. - Yeongwoo Song; Hawoong Jeong (ICLR, 2024)

Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks. - Youngkyoung Bae; Seungwoong Ha; Hawoong Jeong (CoRR, 2024)

From Empirical Observations to Universality: Dynamics of Deep Learning with Inputs Built on Gaussian mixture. - Jaeyong Bae; Hawoong Jeong (CoRR, 2024)

Stochastic Restarting to Overcome Overfitting in Neural Networks with Noisy Labels. - Youngkyoung Bae; Yeongwoo Song; Hawoong Jeong (CoRR, 2024)

Network analysis reveals news press landscape and asymmetric user polarization. - Byunghwee Lee; Hyo-sun Ryu; Jae Kook Lee; Hawoong Jeong; Beom Jun Kim (CoRR, 2024)

Exploring how deep learning decodes anomalous diffusion via Grad-CAM. - Jaeyong Bae; Yongjoo Baek; Hawoong Jeong (CoRR, 2024)

Stochastic resetting mitigates latent gradient bias of SGD from label noise. - Youngkyoung Bae; Yeongwoo Song; Hawoong Jeong (Mach. Learn. Sci. Technol., 2025)