Dohyun Kwon

According to our database1, Dohyun Kwon authored at least 21 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization.
CoRR, 2024

2023
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning.
CoRR, 2023

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation.
CoRR, 2023

Multi-agent system for target tracking on a sphere and its asymptotic behavior.
Commun. Nonlinear Sci. Numer. Simul., 2023

Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning.
Proceedings of the International Conference on Machine Learning, 2023

A Fully First-Order Method for Stochastic Bilevel Optimization.
Proceedings of the International Conference on Machine Learning, 2023

2022
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles.
IEEE Trans. Veh. Technol., 2022

Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management.
IEEE Syst. J., 2021

Training Wasserstein GANs without gradient penalties.
CoRR, 2021

2020
Self-adaptive power control with deep reinforcement learning for millimeter-wave Internet-of-vehicles video caching.
J. Commun. Networks, 2020

Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks.
IEEE Internet Things J., 2020

Learning-based Dot-Grid Alignment for Projection Distortion Correction.
Proceedings of the 2020 International Conference on Information Networking, 2020

2019
Multi-Agent Deep Reinforcement Learning for Connected Vehicles.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Optimal Trajectory Learning for UAV-BS Video Provisioning System: A Deep Reinforcement Learning Approach.
Proceedings of the 33rd International Conference on Information Networking, 2019

Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2019

2018
Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks.
Sensors, 2018

Opportunistic Medium Access for Hyper-Dense Beamformed IEEE 802.11ax Wireless Networks.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

Distributed dynamic power-aware buffering for multi-Gbps video streaming in IEEE 802.11ad fast session transfer.
Proceedings of the 2018 International Conference on Information Networking, 2018

Self-Adaptive Machine Learning Operating Systems for Security Applications.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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