Hyunsung Lee

Orcid: 0000-0001-9814-9548

According to our database1, Hyunsung Lee authored at least 13 papers between 2007 and 2023.

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

Timeline

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Links

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Bibliography

2023
How Important is Periodic Model update in Recommender System?
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Moving Objects Tracking Based on Geometric Model-Free Approach With Particle Filter Using Automotive LiDAR.
IEEE Trans. Intell. Transp. Syst., 2022

An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network.
IEEE Access, 2021

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation.
IEEE Access, 2021

2020
Fixed Priority Global Scheduling from a Deep Learning Perspective.
CoRR, 2020

A Differentiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems.
CoRR, 2020

Intelligent Replication Management for HDFS Using Reinforcement Learning.
CoRR, 2020

Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling.
IEEE Access, 2020

2019
SCARL: Attentive Reinforcement Learning-Based Scheduling in a Multi-Resource Heterogeneous Cluster.
IEEE Access, 2019

2017
OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame.
Proceedings of the 15th Annual Conference on Privacy, Security and Trust, 2017

AVM / LiDAR sensor based lane marking detection method for automated driving on complex urban roads.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2007
Rollout strategy for Hidden Markov Model (HMM)-based dynamic sensor scheduling.
Proceedings of the IEEE International Conference on Systems, 2007


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