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9 Students Majoring in AI at Seoul National University Selected as Qualcomm's Research Scholarship Students
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2021.03.02.
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9 Students Majoring in AI at Seoul National University Selected as Qualcomm's Research Scholarship Students
- Selected as part of the 20 most innovative papers in the field of AI in 2019-2020 and scholarships were awarded to graduate student authors
- 10 of the 20 are SNU students' papers, and Jaemin Yoo of the Department of Computer Science and Engineering, is the only one to have two of his research papers to be selected
(Students Receiving the Qualcomm Innovation Research Scholarship. (From left) Dongjoo Kim, Byeongchang Kim, Jaekyeom Kim, Gyeongsik Moon, Sungyong Baik, Jaemin Yoo, Soochan Lee, Saehyung Lee, Yeonwoo Jeong)
- 10 of the 20 are SNU students' papers, and Jaemin Yoo of the Department of Computer Science and Engineering, is the only one to have two of his research papers to be selected
(Students Receiving the Qualcomm Innovation Research Scholarship. (From left) Dongjoo Kim, Byeongchang Kim, Jaekyeom Kim, Gyeongsik Moon, Sungyong Baik, Jaemin Yoo, Soochan Lee, Saehyung Lee, Yeonwoo Jeong)
10 papers by graduate students of Seoul National University were selected at the Qualcomm Innovation Fellowship, which selects the best university papers in the field of AI, machine learning, and self-driving, and provides unconditional scholarships to its authors.
Qualcomm has been running annual fellowships since 2009 to encourage students conducting innovative research, starting with universities in the U.S. and Europe and later, expanding to India and South Korea.
At the 2020 Qualcomm Innovation Fellowship that was held for the first time for Koreans, 150 papers were submitted, and the final 20 that that were selected included 10 from Seoul National University, 8 from KAIST, 1 from POSTECH and 1 from Sungkyunkwan University.
Jaemin Yoo, a student of the Department of Computer Science and Engineering at Seoul National University, was the only one to win two fellowships for two of his papers with one regarding the extraction of deep learning data and one regarding graph sampling.
Dongjoo Kim, a student of the Department of Computer Science and Engineering (Advisor Professor Gunhee Kim), was selected for the fellowship for his research on overcoming the algorithmic problem of continuously learning in an environment with unbalanced data.
Byeongchang Kim, a student of the Department of Computer Science and Engineering (Advisor Professor Gunhee Kim), was selected for the fellowship for his paper regarding the development of an artificial intelligence conversation model that distinguishes meaningless and useful content when conversing with chatbots.
Jaekyeom Kim, a student of the Department of Computer Science and Engineering (Advisor Professor Gunhee Kim), was selected for the fellowship for his paper regarding the improvement of the domain difference problem of a learned model by conducting adversarial learning with a small amount of data at the time of inference.
Gyeongsik Moon, a student of the Department of Electrical and Computer Engineering (Advisor Professor Kyoung Mu Lee), was selected for the fellowship for his research on I2L-MeshNet, a method that allows the estimation of an individual's 3D posture and form from a single image.
Sungyong Baik, a student of the Department of Electrical and Computer Engineering (Advisor Professor Kyoung Mu Lee) was selected for the fellowship for his research on a novel meta-learning method that allows him to acquire deep learning models with a small amount of data.
Jaemin Yoo, a student of the Department of Computer Science and Engineering (Advisor Professor Y Kang), was selected for two fellowships for his paper regarding the extraction of knowledge acquired by deep learning models into artificial data forms and his second paper for sampling large graphs for efficient graph inference.
Soochan Lee, a student of the Department of Computer Science and Engineering (Advisor Professor Gunhee Kim), was selected for the fellowship for designing a continuous learning model that can automatically expand model structure without human intervention and learn different kinds of tasks sequentially.
Saehyung Lee (Advisor Professor Sungroh Yoon), a student of the Department of Electrical and Computer Engineering, was selected for the fellowship for his research on data augmentation, which can improve the generalization problem seen in adversarial training of artificial neural networks.
Yeonwoo Jeong (Advisor Professor Hyun Oh Song), a student of the Department of Computer Science and Engineering, was selected for the fellowship for his research on how to separate discrete and continuous information that best represents data from complexly twisted data.
"Global companies like Qualcomm show their highest support for students who come up with innovative ideas and conduct challenging research", said Professor Byoung-Tak Zhang at the AI Research Institute at Seoul National University. "I hope there will be more investments made for the development of ideas of young researchers in Korea," he added.
https://www.qualcomm.com/research/research/university-relations/innovati...
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