연구성과로 돌아가기

2024 연구성과별 연구자 정보 (1576 / 2344)

※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Lee, Seunghun Lee, SH 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Lee, Jihoon Lee, JH 2 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Bae, Chan Ho Bae, CH 3 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea 0009-0007-6620-6641 BAE, CHAN HO ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Choi, Myung-Seok Choi, MS 4 Korea Inst Sci & Technol Informat KISTI, AI Data Res Ctr, Daejeon 34141, South Korea 0000-0003-4821-3390 Choi, Myung-Seok ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Lee, Ryong Lee, RY 5 교신저자 Korea Inst Sci & Technol Informat KISTI, AI Data Res Ctr, Daejeon 34141, South Korea ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Ahn, Sangtae Ahn, S 6 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea AFQ-7342-2022 Ahn, Sangtae ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models Ahn, Sangtae Ahn, S 6 교신저자 Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea AFQ-7342-2022 Ahn, Sangtae ryonglee@kisti.re.kr;stahn@knu.ac.kr;
Optimizing Secrecy Energy Efficiency in RIS-assisted MISO systems using Deep Reinforcement Learning Razaq, Mian Muaz Razaq, MM 1 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea ACN-8991-2022 Razaq, Muaz 0000-0001-6074-2522 Razaq, Muaz mianmuaz97@gmail.com;huanhuansong@126.com;auroraplm@knu.ac.kr;p4ho@uwaterloo.ca;
Optimizing Secrecy Energy Efficiency in RIS-assisted MISO systems using Deep Reinforcement Learning Song, Huanhuan Song, HH 2 Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Peoples R China mianmuaz97@gmail.com;huanhuansong@126.com;auroraplm@knu.ac.kr;p4ho@uwaterloo.ca;
Optimizing Secrecy Energy Efficiency in RIS-assisted MISO systems using Deep Reinforcement Learning Peng, Limei Peng, LM 3 교신저자 Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea mianmuaz97@gmail.com;huanhuansong@126.com;auroraplm@knu.ac.kr;p4ho@uwaterloo.ca;
Optimizing Secrecy Energy Efficiency in RIS-assisted MISO systems using Deep Reinforcement Learning Ho, Pin-Han Ho, PH 4 Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada mianmuaz97@gmail.com;huanhuansong@126.com;auroraplm@knu.ac.kr;p4ho@uwaterloo.ca;
Optimizing surface treatment for Nb-doped SrTiO3 substrates: effects on structural and chemical properties Son, Minjae Son, M 1 Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea leedy@knu.ac.kr;ktkang@knu.ac.kr;
Optimizing surface treatment for Nb-doped SrTiO3 substrates: effects on structural and chemical properties Sualiheen, Karishma Sualiheen, K 2 Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea leedy@knu.ac.kr;ktkang@knu.ac.kr;
Optimizing surface treatment for Nb-doped SrTiO3 substrates: effects on structural and chemical properties Choi, Sangjin Choi, S 3 Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea leedy@knu.ac.kr;ktkang@knu.ac.kr;
Optimizing surface treatment for Nb-doped SrTiO3 substrates: effects on structural and chemical properties Jeong, Seung Gyo Jeong, SG 4 Univ Minnesota, Dept Chem Engn & Mat Sci, Minneapolis, MN 55455 USA leedy@knu.ac.kr;ktkang@knu.ac.kr;
페이지 이동: