Dongjun Kim

Orcid: 0009-0009-6590-192X

According to our database1, Dongjun Kim authored at least 36 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

On csauthors.net:

Bibliography

2025
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

2024
Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning.
Robotics Comput. Integr. Manuf., February, 2024

Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance.
CoRR, 2024

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning.
CoRR, 2024

SoundCTM: Uniting Score-based and Consistency Models for Text-to-Sound Generation.
CoRR, 2024

Poster: ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness.
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

ImpacTile: Tile-level Localization for the Visually Impaired using Structural Uniqueness.
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

Preliminary Study and Analysis of MUAT: Modularized Ultralight Arm Tracker for Humanoid Teleoperation.
Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

iSPADE: End-to-end Sparse Architecture for Dense DNN Acceleration via Inverted-bit Representation.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

Mean-field Chaos Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Training Unbiased Diffusion Models From Biased Dataset.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Manifold Preserving Guided Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SpARC: Token Similarity-Aware Sparse Attention Transformer Accelerator via Row-wise Clustering.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Sequential Likelihood-Free Inference with Neural Proposal.
Pattern Recognit. Lett., May, 2023

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect.
J. Artif. Soc. Soc. Simul., 2022

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.
CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.
Proceedings of the International Conference on Machine Learning, 2022

Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Score Matching Model for Unbounded Data Score.
CoRR, 2021

Posterior-Aided Regularization for Likelihood-Free Inference.
CoRR, 2021

Automatic calibration of dynamic and heterogeneous parameters in agent-based models.
Auton. Agents Multi Agent Syst., 2021

Implicit Kernel Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Sequential Likelihood-Free Inference with Implicit Surrogate Proposal.
CoRR, 2020

Adversarial Likelihood-Free Inference on Black-Box Generator.
CoRR, 2020

Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables.
CoRR, 2020

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model.
CoRR, 2019

2018
Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2016
A novel density-based clustering method using word embedding features for dialogue intention recognition.
Clust. Comput., 2016

2008
Enhancement of image degraded by fog using cost function based on human visual model.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

2007
Human Sensibility Evaluation Using Neural Network and Multiple-Template Method on Electroencephalogram (EEG).
Proceedings of the Advances in Neural Networks, 2007


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