The Boundary Between Privacy and Utility in Data Anonymization - Vibhor Rastogi; Dan Suciu; Sungho Hong (CoRR, 2006)

The Boundary Between Privacy and Utility in Data Publishing. - Vibhor Rastogi; Sungho Hong; Dan Suciu (VLDB, 2007)

Single Neuron Computation: From Dynamical System to Feature Detector. - Sungho Hong; Blaise Agüera y Arcas; Adrienne L. Fairhall (Neural Comput., 2007)

Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space. - Brian Nils Lundstrom; Sungho Hong; Matthew H. Higgs; Adrienne L. Fairhall (Neural Comput., 2008)

Intrinsic Gain Modulation and Adaptive Neural Coding. - Sungho Hong; Brian Nils Lundstrom; Adrienne L. Fairhall (PLoS Comput. Biol., 2008)

Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. - Shyam Kumar Sudhakar; Sungho Hong; Ivan Raikov; Rodrigo Publio; Claus Lang; Thomas G. Close; Daqing Guo; Mario Negrello; Erik De Schutter (PLoS Comput. Biol., 2017)

Correction: Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. - Shyam Kumar Sudhakar; Sungho Hong; Ivan Raikov; Rodrigo Publio; Claus Lang; Thomas G. Close; Daqing Guo; Mario Negrello; Erik De Schutter (PLoS Comput. Biol., 2019)

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks. - Dongqi Han; Erik De Schutter; Sungho Hong (NeurIPS, 2020)

Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model. - Ines Wichert; Sanghun Jee; Erik De Schutter; Sungho Hong (Frontiers Neuroinformatics, 2020)

GPU-enabled Function-as-a-Service for Machine Learning Inference. - Ming Zhao 002; Kritshekhar Jha; Sungho Hong (IPDPS, 2023)

Synergistic Formulaic Alpha Generation for Quantitative Trading based on Reinforcement Learning. - Hong-Gi Shin; Sukhyun Jeong; Eui-Yeon Kim; Sungho Hong; Young-Jin Cho; Yong-Hoon Choi (ICOIN, 2024)