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- Daejin Jo
aka: DaeJin Jo
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Publication search results
found 48 matches
- 2024
- Jaeeun Park, Joohyung Lee, Daejin Kim, Jun Kyun Choi:
Deep Reinforcement Learning Driven Joint Dynamic TDD and RRC Connection Management Scheme in Massive IoT Networks. IEEE Access 12: 34973-34992 (2024) - Jimmy Reyes, Josu Najera-Zuloaga, Dae-Jin Lee, Jaime Arrué, Yuri A. Iriarte:
A Bimodal Extension of the Beta-Binomial Distribution with Applications. Axioms 13(10): 662 (2024) - Ibon Martínez-Arranz, Cristina Alonso, Rebeca Mayo, Itziar Mincholé, José M. Mato, Dae-Jin Lee:
Genetic algorithms applied to translational strategy in metabolic-dysfunction associated steatohepatitis (MASH). Learning from mouse models. Comput. Methods Programs Biomed. 255: 108346 (2024) - Fernando García-García, Dae-Jin Lee, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Joaquín Martínez-Minaya, Miren Hayet-Otero, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge:
Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity. IEEE J. Biomed. Health Informatics 28(5): 2613-2623 (2024) - Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. ACL (Findings) 2024: 14969-14981 - Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR abs/2407.16574 (2024) - 2023
- Daejin Kim, Min-Soo Kim, Hyunjung Shim, Jongwuk Lee:
Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks. Inf. Sci. 634: 608-620 (2023) - So-Hyun Cho, Su-Min Lee, Na-Young Lee, ByoungChul Ko, Hojeong Kim, Dae-Jin Jang, Jong-Ha Lee:
High-Resolution Tactile-Sensation Diagnostic Imaging System for Thyroid Cancer. Sensors 23(7): 3451 (2023) - Tae-Mi Jung, Dae-Jin Jang, Jong-Ha Lee:
The Novel Digital Therapeutics Sensor and Algorithm for Pressure Ulcer Care Based on Tissue Impedance. Sensors 23(7): 3620 (2023) - Hongbin Zhuang, Xiao-Yan Li, Jou-Ming Chang, Dajin Wang:
An Efficient Algorithm for Hamiltonian Path Embedding of $k$k-Ary $n$n-Cubes Under the Partitioned Edge Fault Model. IEEE Trans. Parallel Distributed Syst. 34(6): 1802-1815 (2023) - Sungwoong Kim, Daejin Jo, Donghoon Lee, Jongmin Kim:
MAGVLT: Masked Generative Vision-and-Language Transformer. CVPR 2023: 23338-23348 - Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang Dong Yoo, Sungwoong Kim:
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation. EMNLP (Findings) 2023: 2683-2702 - Sungwoong Kim, DaeJin Jo, Donghoon Lee, Jongmin Kim:
MAGVLT: Masked Generative Vision-and-Language Transformer. CoRR abs/2303.12208 (2023) - Eunbi Choi, Kyoung-Woon On, Gunsoo Han, Sungwoong Kim, Daniel Wontae Nam, Daejin Jo, Seungeun Rho, Taehwan Kwon, Minjoon Seo:
Effortless Integration of Memory Management into Open-Domain Conversation Systems. CoRR abs/2305.13973 (2023) - Daejin Jo, Daniel Wontae Nam, Gunsoo Han, Kyoung-Woon On, Taehwan Kwon, Seungeun Rho, Sungwoong Kim:
Hexa: Self-Improving for Knowledge-Grounded Dialogue System. CoRR abs/2310.06404 (2023) - 2022
- Joohyung Lee, Daejin Kim, Dusit Niyato:
A Novel Joint Dataset and Incentive Management Mechanism for Federated Learning Over MEC. IEEE Access 10: 30026-30038 (2022) - Dongmin Cha, Taehun Kim, Joonyeong Lee, Dajin Kim:
SAC-GAN: Face Image Inpainting with Spatial-Aware Attribute Controllable GAN. ACCV (7) 2022: 202-218 - DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim:
Selective Token Generation for Few-shot Natural Language Generation. COLING 2022: 5837-5856 - DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee:
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. NeurIPS 2022 - Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - DaeJin Jo, Taehwan Kwon, Eun-Sol Kim, Sungwoong Kim:
Selective Token Generation for Few-shot Natural Language Generation. CoRR abs/2209.08206 (2022) - DaeJin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee:
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. CoRR abs/2210.05409 (2022) - 2021
- Nakyoung Kim, DaeJin Kim, Joohyung Lee, Dusit Niyato, Jun Kyun Choi:
Incentive-Based Coded Distributed Computing Management for Latency Reduction in IoT Services - A Game Theoretic Approach. IEEE Internet Things J. 8(10): 8259-8278 (2021) - Joon Jin Song, Melissa Innerst, Kyuhee Shin, Bo-Young Ye, Minho Kim, Daejin Yeom, GyuWon Lee:
Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements. Remote. Sens. 13(11): 2039 (2021) - Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski:
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 2021: 41-52 - 2020
- Joohyung Lee, DaeJin Kim, Dusit Niyato:
Market Analysis of Distributed Learning Resource Management for Internet of Things: A Game-Theoretic Approach. IEEE Internet Things J. 7(9): 8430-8439 (2020) - DaeJin Jo:
Token Manipulation Generative Adversarial Network for Text Generation. CoRR abs/2005.02794 (2020) - 2017
- Taejoong Chung, Jinyoung Han, Daejin Choi, Ted Taekyoung Kwon, Jong-Youn Rha, Hyunchul Kim:
Privacy Leakage in Event-based Social Networks: A Meetup Case Study. Proc. ACM Hum. Comput. Interact. 1(CSCW): 35:1-35:22 (2017) - Jinyoung Han, Daejin Choi, Jungseock Joo, Chen-Nee Chuah:
Predicting Popular and Viral Image Cascades in Pinterest. ICWSM 2017: 82-91 - Eojin Lee, Jongwook Chung, Daejin Jung, Sukhan Lee, Sheng Li, Jung Ho Ahn:
Work as a team or individual: Characterizing the system-level impacts of main memory partitioning. IISWC 2017: 156-166
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