AI-Journal Papers(저널논문)
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Recent Items
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1
Magnitude and angle dynamics in training single ReLU neurons
Lee, Sangmin; Sim, Byeongsu; Ye, Jong Chul, NEURAL NETWORKS, v.178, 2024-10
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2
Targeted Model Inversion: Distilling style encoded in predictions
Jeong, Hoyong; Chung, Kiwon; Hwang, Sung Ju; Son, Sooel, COMPUTERS SECURITY, v.144, 2024-09
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3
Representative and Back-In-Time Sampling from Real-world Hypergraphs
Choe, Min Young; Yoo, Jaemin; Lee, Geon; Baek, Woonsung; Kang, U; Shin, Kijung, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, v.18, no.6, 2024-07
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4
Deep learning model for heavy rainfall nowcasting in South Korea
Oh, Seok-Geun; Son, Seok-Woo; Kim, Young-Ha; Park, Chanil; Ko, Jihoon; Shin, Kijung; Ha, Ji-Hoon; Lee, Hyesook, WEATHER AND CLIMATE EXTREMES, v.44, 2024-06
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5
Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching
Ko, Youngjun; Song, Seongjong; Baek, Jongduk; Shim, Hyunjung, MEDICAL PHYSICS, v.51, no.6, pp.4181 - 4200, 2024-06
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6
End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography
Oh, Jieun; Kim, Boah; Oh, Gyutaek; Hwangbo, Yul; Ye, Jong Chul, ENDOCRINOLOGY AND METABOLISM, v.39, no.3, pp.500 - 510, 2024-06
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7
Hypergraph motifs and their extensions beyond binary
Lee, Geon; Yoon, S; Ko, Jihoon; Kim, Hyunju; Shin, Kijung, VLDB JOURNAL, v.33, no.3, pp.625 - 665, 2024-05
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Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
Chun, Jaewan; Lee, Geon; Shin, Kijung; Jung, Jinhong, DATA MINING AND KNOWLEDGE DISCOVERY, v.38, no.3, pp.1222 - 1257, 2024-05
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9
Optimal clustering from noisy binary feedback
Ariu, Kaito; Ok, Jungseul; Proutiere, Alexandre; Yun, Seyoung, MACHINE LEARNING, v.113, no.5, pp.2733 - 2764, 2024-05
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10
Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements
Oh, Gyutaek; Moon, Yeonsil; Moon, Won-Jin; Ye, Jong Chul, NEUROIMAGE, v.291, 2024-05
Collection's Items (Sorted by Submit Date in Descending order): 321 to 340 of 522
| Image Reconstruction Is a New Frontier of Machine Learning Wang, Ge; Ye, Jong Chul; Mueller, Klaus; Fessler, Jeffrey A., IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1289 - 1296, 2018-06 |
| Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT Han, Yoseob; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1418 - 1429, 2018-06 |
| Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network Kang, Eunhee; Chang, Won; Yoo, Jaejun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06 |
| Deep learning with domain adaptation for accelerated projection-reconstruction MR Han, Yo Seob; Yoo, Jaejun; Kim, Hak Hee; Shin, Hee Jung; Sung, Kyunghyun; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.80, no.3, pp.1189 - 1205, 2018-09 |
| Hybrid Content Caching in 5G Wireless Networks: Cloud Versus Edge Caching Kwak, Jeongho; Kim, Yeongjin; Le, Long Bao; Chong, Song, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.17, no.5, pp.3030 - 3045, 2018-05 |
| Capacity, fairness, and queueing performance analysis of opportunistic scheduling with one-bit feedback Kim, Yoora; Hwang, Ganguk; Chong, Song, COMPUTER COMMUNICATIONS, v.121, pp.19 - 32, 2018-05 |
| Dual-side Optimization for Cost-Delay Tradeoff in Mobile Edge Computing Kim, Yeongjin; Kwak, Jeongho; Chong, Song, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.67, no.2, pp.1765 - 1781, 2018-02 |
| Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality Ahn, Sungsoo; Chertkov, Michael; Gelfand, Andrew E.; Park, Sejun; Shin, Jinwoo, IEEE TRANSACTIONS ON INFORMATION THEORY, v.64, no.3, pp.1471 - 1480, 2018-03 |
| Traffic-Aware Energy-Saving Base Station Sleeping and Clustering in Cooperative Networks Kim, Jihwan; Lee, Hyang-Won; Chong, Song, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.17, no.2, pp.1173 - 1186, 2018-02 |
| Alteration in the local and global functional connectivity of resting state networks in Parkinson’s disease Ghahremani, Maryam; Yoo, Jaejun; Chung, Sun Ju; Yoo, Kwangsun; Ye, Jong Chul; Jeong, Yong, Journal of Movement Disorders, v.11, no.1, pp.13 - 23, 2018-01 |
| Game Theoretic Perspective of Optimal CSMA Jang, Hyeryung; Yun, Seyoung; Shin, Jinwoo; Yi, Yung, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.17, no.1, pp.194 - 209, 2018-01 |
| Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal Jin, Kyong Hwan; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.3, pp.1448 - 1461, 2018-03 |
| Reading between the Lines: Object Localization Using Implicit Cues from Image Tags Hwang, Sung Ju; Grauman, Kristen, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.34, no.6, pp.1145 - 1158, 2012-06 |
| Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search Hwang, Sung Ju; Grauman, Kristen, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.100, no.2, pp.134 - 153, 2012-11 |
| Beyond Born-Rytov limit for super-resolution optical diffraction tomography Lim, JooWon; Wahab, Abdul; Park, GwangSik; Lee, Kyeo Reh; Park, Yong Keun; Ye, Jong Chul, OPTICS EXPRESS, v.25, no.24, pp.30445 - 30458, 2017-11 |
| Translational motion correction algorithm for truncated cone-beam CT using opposite projections Gu, Jawook; Bae, Woong; Ye, Jong Chul, JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, v.25, no.6, pp.927 - 944, 2017-11 |
| A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction Kang, Eunhee; Min, Junhong; Ye, Jong Chul, MEDICAL PHYSICS, v.44, no.10, pp.e360 - e375, 2017-10 |
| A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media Yoo, Jaejun; Jung, Younghoon; Lim, Mikyoung; Ye, Jong Chul; Wahab, Abdul, SIAM JOURNAL ON IMAGING SCIENCES, v.10, no.3, pp.1104 - 1138, 2017 |
| CONVERGENCE AND CORRECTNESS OF MAX-PRODUCT BELIEF PROPAGATION FOR LINEAR PROGRAMMING Park, Sejun; Shin, Jinwoo, SIAM JOURNAL ON DISCRETE MATHEMATICS, v.31, no.3, pp.2228 - 2246, 2017 |
| APPROXIMATING SPECTRAL SUMS OF LARGE-SCALE MATRICES USING STOCHASTIC CHEBYSHEV APPROXIMATIONS Han, Insu; Malioutov, Dmitry; Avron, Haim; Shin, Jinwoo, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.4, pp.A1558 - A1585, 2017 |
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Type
- 522 Article
Open Access
- 36 OA Article
Date issued
- 216 2020 - 2024
- 245 2010 - 2019
- 50 2000 - 2009
- 11 1992 - 1999