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Kwang Taik Kim
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2020 – today
- 2024
- [j6]Hyoyoung Lim, Jinsung Lee, Jongyun Lee, Sandesh Dhawaskar Sathyanarayana, Junseon Kim, Anh Nguyen, Kwang Taik Kim, Youngbin Im, Mung Chiang, Dirk Grunwald, Kyunghan Lee, Sangtae Ha:
An Empirical Study of 5G: Effect of Edge on Transport Protocol and Application Performance. IEEE Trans. Mob. Comput. 23(4): 3172-3186 (2024) - [i11]Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour:
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. CoRR abs/2404.06324 (2024) - [i10]Xiang Li, Mustafa Abdallah, Yuan-Yao Lou, Mung Chiang, Kwang Taik Kim, Saurabh Bagchi:
Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks. CoRR abs/2409.10839 (2024) - [i9]Yuan-Yao Lou, Jonathan C. Spencer, Kwang Taik Kim, Mung Chiang:
Utilizing Priors in Sampling-based Cost Minimization. CoRR abs/2409.19834 (2024) - [i8]Yuan-Yao Lou, Jonathan C. Spencer, Kwang Taik Kim, Mung Chiang:
E-MPC: Edge-assisted Model Predictive Control. CoRR abs/2410.00695 (2024) - [i7]Xiang Li, Cheng Chen, Yuan-Yao Lou, Mustafa Abdallah, Kwang Taik Kim, Saurabh Bagchi:
HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices. CoRR abs/2411.00608 (2024) - 2023
- [j5]Eric Ruzomberka, Kwang Taik Kim, Arnob Ghosh, David J. Love, Mung Chiang:
A Novel Framework for Cost Constrained Network Sharing. IEEE Trans. Mob. Comput. 22(8): 4422-4438 (2023) - [j4]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. IEEE/ACM Trans. Netw. 31(6): 2682-2697 (2023) - [j3]Seok-Ki Ahn, Sung Ho Chae, Kwang Taik Kim, Young-Han Kim:
Successive Cancellation Integer Forcing via Practical Binary Codes. IEEE Trans. Wirel. Commun. 22(9): 6383-6396 (2023) - 2022
- [c15]Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Kwang Taik Kim, Saurabh Bagchi:
DAG-based Task Orchestration for Edge Computing. SRDS 2022: 23-34 - [i6]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR abs/2203.13950 (2022) - [i5]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Interference Cancellation GAN Framework for Dynamic Channels. CoRR abs/2208.08019 (2022) - 2021
- [c14]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. GLOBECOM 2021: 1-6 - [c13]Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. GLOBECOM 2021: 1-6 - [c12]Yihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang:
Minimizing Age-of-Information in Heterogeneous Multi-Channel Systems: A New Partial-Index Approach. MobiHoc 2021: 11-20 - [i4]Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. CoRR abs/2112.11485 (2021) - [i3]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. CoRR abs/2112.11491 (2021) - 2020
- [c11]Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang:
Coded Edge Computing. INFOCOM 2020: 237-246 - [c10]Yihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang, Zhi Ding, Risto Wichman, Jyri Hämäläinen:
Low-Overhead Joint Beam-Selection and Random-Access Schemes for Massive Internet-of-Things with Non-Uniform Channel and Load. INFOCOM 2020: 2126-2135 - [i2]Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim, Mung Chiang, Chunyi Peng, Saurabh Bagchi:
I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing. CoRR abs/2011.05925 (2020)
2010 – 2019
- 2019
- [c9]Yihan Zou, Kwang Taik Kim, Zhi Ding, Risto Wichman, Jyri Hämäläinen, Xiaojun Lin, Mung Chiang:
Low-Overhead Multi-Antenna-Enabled Random Access for Machine-Type Communications with Low Mobility. GLOBECOM 2019: 1-6 - 2017
- [j2]Sung Hoon Lim, Kwang Taik Kim, Young-Han Kim:
Distributed Decode-Forward for Relay Networks. IEEE Trans. Inf. Theory 63(7): 4103-4118 (2017) - 2016
- [j1]Kwang Taik Kim, Seok-Ki Ahn, Yong-Seok Kim, Jeongho Park, Chiao-Yi Chen, Young-Han Kim:
Interference Management via Sliding-Window Coded Modulation for 5G Cellular Networks. IEEE Commun. Mag. 54(11): 82-89 (2016) - 2015
- [c8]Kwang Taik Kim, Seok-Ki Ahn, Young-Han Kim, Hosung Park, Lele Wang, Chiao-Yi Chen, Jeongho Park:
Adaptive Sliding-Window Coded Modulation in Cellular Networks. GLOBECOM 2015: 1-7 - [i1]Sung Hoon Lim, Kwang Taik Kim, Young-Han Kim:
Distributed Decode-Forward for Relay Networks. CoRR abs/1510.00832 (2015) - 2014
- [c7]Kwanghun Han, Misuk Huh, Kwang Taik Kim, KyungHun Jang:
Matrix network coding based multicast scheme over wireless multihop networks. ICCE 2014: 211-212 - [c6]Sung Hoon Lim, Kwang Taik Kim, Young-Han Kim:
Distributed decode-forward for multicast. ISIT 2014: 636-640 - [c5]Sung Hoon Lim, Kwang Taik Kim, Young-Han Kim:
Distributed decode-forward for broadcast. ITW 2014: 556-560 - 2011
- [c4]Kwang Taik Kim, Wonjong Noh, Vahid Tarokh:
Robust scalable physical layer network coding. Allerton 2011: 1446-1453 - [c3]Kwang Taik Kim, Chan-Soo Hwang, Vahid Tarokh:
Network error correction from matrix network coding. ITA 2011: 394-402
2000 – 2009
- 2006
- [c2]Kwang Taik Kim, Toby Berger:
The Degree of Suboptimality of Sending a Lossy Version of the Innovations Process in Gauss-Markov Rate-Distortion. ISIT 2006: 808-812 - 2005
- [c1]Kwang Taik Kim, Toby Berger:
Sending a lossy version of the innovations process is suboptimal in QG rate-distortion. ISIT 2005: 209-213
Coauthor Index
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last updated on 2024-12-12 21:59 CET by the dblp team
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