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Kyungchan Ko
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- affiliation: Pohang University of Science and Technology, South Korea
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2020 – today
- 2024
- [j2]Kyungchan Ko, Taeyeol Jeong, Jongsoo Woo, James Won-Ki Hong:
Survey on blockchain-based non-fungible tokens: History, technologies, standards, and open challenges. Int. J. Netw. Manag. 34(1) (2024) - [c17]Kyungchan Ko, Sangwoo Ryu, Nguyen Van Tu, James Won-Ki Hong:
Optimizing Video Conferencing QoS: A DRL-based Bitrate Allocation Framework. NOMS 2024: 1-10 - [c16]Sangwoo Ryu, Kyungchan Ko, Nguyen Van Tu, James Won-Ki Hong:
Towards Effective Reinforcement Learning in Video Conferencing using Network Status Data and Model Analysis. NOMS 2024: 1-9 - 2023
- [c15]Kyungchan Ko, Sangwoo Ryu, James Won-Ki Hong:
Enhancing QoE of WebRTC-based Video Conferencing using Deep Reinforcement Learning. APNOMS 2023: 195-200 - [c14]Kyungchan Ko, Taeyeol Jeong, Jongsoo Woo, James Won-Ki Hong:
Alleviating Crypto Gas War in NFT Launching. ICBC 2023: 1-5 - [c13]Nguyen Van Tu, Kyungchan Ko, Sangwoo Ryu, Sangtae Ha, James Won-Ki Hong:
Improve Video Conferencing Quality with Deep Reinforcement Learning. NOMS 2023: 1-5 - 2022
- [c12]Kyungchan Ko, Taeyeol Jeong, Jongsoo Woo, James Won-Ki Hong:
An Analysis of Crypto Gas Wars in Ethereum. APNOMS 2022: 1-6 - [c11]Sangwoo Ryu, Kyungchan Ko, James Won-Ki Hong:
Stabilizing Deep Reinforcement Learning Model Training for Video Conferencing. APNOMS 2022: 1-6 - 2021
- [j1]Doyoung Lee, Seyeon Jeong, Kyungchan Ko, Jae-Hyoung Yoo, James Won-Ki Hong:
Deep Q-network-based auto scaling for service in a multi-access edge computing environment. Int. J. Netw. Manag. 31(6) (2021) - [c10]Sangwoo Ryu, Kyungchan Ko, James Won-Ki Hong:
Performance Analysis of Applying Deep Learning for Virtual Background of WebRTC-based Video Conferencing System. APNOMS 2021: 53-56 - 2020
- [c9]Kyungchan Ko, Changhoon Kang, Youngbok Park, Jongsoo Woo, James Won-Ki Hong:
Towards Blockchain-based Stainless Steel Tracking. APNOMS 2020: 318-321 - [c8]Changhoon Kang, Chaehyeon Lee, Kyungchan Ko, Jongsoo Woo, James Won-Ki Hong:
De-Anonymization of the Bitcoin Network Using Address Clustering. BlockSys 2020: 489-501 - [c7]Chaehyeon Lee, Sajan Maharjan, Kyungchan Ko, Jongsoo Woo, James Won-Ki Hong:
Machine Learning Based Bitcoin Address Classification. BlockSys 2020: 517-531
2010 – 2019
- 2019
- [c6]Chaehyeon Lee, Sajan Maharjan, Kyungchan Ko, James Won-Ki Hong:
Toward Detecting Illegal Transactions on Bitcoin Using Machine-Learning Methods. BlockSys 2019: 520-533 - [c5]Kyungchan Ko, Taeyeol Jeong, Sajan Maharjan, Chaehyeon Lee, James Won-Ki Hong:
Prediction of Bitcoin Transactions Included in the Next Block. BlockSys 2019: 591-597 - [c4]Chaehyeon Lee, Heegon Kim, Sajan Maharjan, Kyungchan Ko, James Won-Ki Hong:
Blockchain Explorer based on RPC-based Monitoring System. IEEE ICBC 2019: 117-119 - 2018
- [c3]Kyungchan Ko, Chaehyeon Lee, Taeyeol Jeong, James Won-Ki Hong:
Design of RPC-based Blockchain Monitoring Agent. ICTC 2018: 1090-1095 - 2017
- [c2]Nguyen Van Tu, Kyungchan Ko, James Won-Ki Hong:
Architecture for building hybrid kernel-user space virtual network functions. CNSM 2017: 1-6 - [c1]Kyungchan Ko, Dongho Son, Jonghwan Hyun, Jian Li, Yoonseon Han, James Won-Ki Hong:
Dynamic failover for SDN-based virtual networks. NetSoft 2017: 1-5
Coauthor Index
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last updated on 2024-07-17 21:27 CEST by the dblp team
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