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ORCIDYejin Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j37]Yejin Kim, Young-Keun Kim
:
Physics-Informed Time-Frequency Fusion Network With Attention for Noise-Robust Bearing Fault Diagnosis. IEEE Access 12: 12517-12532 (2024)- [j36]Yejin Kim, David Camacho, Chang Choi:
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations. Cogn. Comput. 16(2): 776-787 (2024) - [j35]Yejin Kim, Seonmi Kim, Youngbin Lee, Joohwan Hong, Yongjae Lee:
Multi-attention recommender system for non-fungible tokens. Eng. Appl. Artif. Intell. 137: 109179 (2024) - [j34]Dulin Wang, Xiaotian Ma, Paul E. Schulz, Xiaoqian Jiang, Yejin Kim:
Clinical outcome-guided deep temporal clustering for disease progression subtyping. J. Biomed. Informatics 158: 104732 (2024) - [j33]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine 7(1) (2024) - [j32]Myeongseop Kim, Sungjun Kim, Dabin Lee, Hyo Keun Jang, Sanghoon Park, Yejin Kim, Jaesoon Kim, Seok-Hyun Youn, Huitae Joo, Seunghyun Son, Sang Heon Lee:
Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea. Remote. Sens. 16(5): 829 (2024) - [c35]Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. ClinicalNLP@NAACL 2024: 292-300 - [c34]Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang:
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. LREC/COLING 2024: 8743-8755 - [c33]Kiana Ehsani, Tanmay Gupta, Rose Hendrix, Jordi Salvador, Luca Weihs, Kuo-Hao Zeng, Kunal Pratap Singh, Yejin Kim, Winson Han, Alvaro Herrasti, Ranjay Krishna, Dustin Schwenk, Eli VanderBilt, Aniruddha Kembhavi:
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. CVPR 2024: 16238-16250 - [c32]Rimon Melamed, Lucas H. McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà:
Prompts have evil twins. EMNLP 2024: 46-74 - [c31]Youngbin Lee, Yejin Kim, Javier Sanz-Cruzado, Richard McCreadie, Yongjae Lee:
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. ICAIF 2024: 795-803 - [c30]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c29]Seongmin Baek, Youn-Hee Gil, Yejin Kim:
3D Human Pose Estimation Using Egocentric Depth Data. VRST 2024: 57:1-57:2 - [i25]Disha Makhija, Joydeep Ghosh, Yejin Kim:
Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR abs/2402.17705 (2024) - [i24]Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. CoRR abs/2403.14255 (2024) - [i23]Yejin Kim, Youngbin Lee, Vincent Yuan, Annika Lee, Yongjae Lee:
A Temporal Graph Network Framework for Dynamic Recommendation. CoRR abs/2403.16066 (2024) - [i22]Minjoo Choi, Seonmi Kim, Yejin Kim, Youngbin Lee, Joohwan Hong, Yongjae Lee:
A Recommender System for NFT Collectibles with Item Feature. CoRR abs/2403.18305 (2024) - [i21]Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang:
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. CoRR abs/2403.18667 (2024) - [i20]Yejin Kim, Youngbin Lee, Minyoung Choe, Sungju Oh, Yongjae Lee:
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks. CoRR abs/2404.00060 (2024) - [i19]Youngbin Lee, Yejin Kim, Yongjae Lee:
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning. CoRR abs/2404.07223 (2024) - [i18]Yaobin Ling, Xiaoqian Jiang, Yejin Kim:
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data. CoRR abs/2406.10521 (2024) - [i17]Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim:
Achieving Fairness Across Local and Global Models in Federated Learning. CoRR abs/2406.17102 (2024) - [i16]Yejin Kim, Eojin Kang, Juae Kim, H. Howie Huang:
Causal Reasoning in Large Language Models: A Knowledge Graph Approach. CoRR abs/2410.11588 (2024) - 2023
- [j31]Yejin Kim, Gyuho Choi, Chang Choi:
One-Dimensional Shallow Neural Network Using Non-Fiducial Based Segmented Electrocardiogram for User Identification System. IEEE Access 11: 102483-102491 (2023) - [j30]Junhyun Cho, Donghee Yang, Yejin Kim, Sungchul Lee:
An operator splitting method for multi-asset options with the Feynman-Kac formula. Comput. Math. Appl. 135: 93-101 (2023) - [j29]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. 30(10): 1645-1656 (2023) - [j28]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics 137: 104256 (2023) - [j27]Yejin Kim, Young-Keun Kim:
Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis. Sensors 23(23): 9311 (2023) - [j26]Young-Hoon Park, Yejin Kim:
Visualization with Prediction Scheme for Early DDoS Detection in Ethereum. Sensors 23(24): 9763 (2023) - [c28]Seonmi Kim, Seyoung Kim, Yejin Kim, Junpyo Park, Seongjin Kim, Moolkyeol Kim, Chang Hwan Sung, Joohwan Hong, Yongjae Lee:
LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports? ICAIF 2023: 383-391 - [c27]Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang:
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI 2023: 49-57 - [c26]Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong:
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI 2023: 525-526 - [c25]Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim, Xiaoqian Jiang:
An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. ICHI 2023: 738-745 - [i15]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim:
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. CoRR abs/2304.10946 (2023) - [i14]Seonmi Kim, Youngbin Lee, Yejin Kim, Joohwan Hong, Yongjae Lee:
NFTs to MARS: Multi-Attention Recommender System for NFTs. CoRR abs/2306.10053 (2023) - [i13]Rimon Melamed, Lucas H. McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà:
PROPANE: Prompt design as an inverse problem. CoRR abs/2311.07064 (2023) - [i12]Kiana Ehsani, Tanmay Gupta, Rose Hendrix, Jordi Salvador, Luca Weihs, Kuo-Hao Zeng, Kunal Pratap Singh, Yejin Kim, Winson Han, Alvaro Herrasti, Ranjay Krishna, Dustin Schwenk, Eli VanderBilt, Aniruddha Kembhavi:
Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. CoRR abs/2312.02976 (2023) - [i11]Ruihan Yang, Yejin Kim, Aniruddha Kembhavi, Xiaolong Wang, Kiana Ehsani:
Harmonic Mobile Manipulation. CoRR abs/2312.06639 (2023) - 2022
- [j25]Junhyun Cho, Yejin Kim, Sungchul Lee:
An accurate and stable numerical method for option hedge parameters. Appl. Math. Comput. 430: 127276 (2022) - [j24]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinform. 38(10): 2826-2831 (2022) - [j23]Wanhyuk Seo, Yejin Kim, Ho Sim, Yungoo Song, Tae-Sub Yun:
Classification of igneous rocks from petrographic thin section images using convolutional neural network. Earth Sci. Informatics 15(2): 1297-1307 (2022) - [j22]Juae Kim, Yejin Kim, Sangwoo Kang:
Weakly labeled data augmentation for social media named entity recognition. Expert Syst. Appl. 209: 118217 (2022) - [j21]Daeun Kang, Jaeseok Moon, Saeyoung Yang, Taesoo Kwon, Yejin Kim:
Physics-Based Simulation of Soft-Body Deformation Using RGB-D Data. Sensors 22(19): 7225 (2022) - [c24]Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim:
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. COLING 2022: 4585-4592 - [c23]Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transfer Attention for Realistic Image Completion. SAI (2) 2022: 340-352 - [i10]Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim:
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling. CoRR abs/2209.05972 (2022) - 2021
- [j20]Juae Kim, Yejin Kim, Sangwoo Kang, Jungyun Seo:
Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts. IEEE Access 9: 80405-80414 (2021) - [j19]Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang:
Anticancer drug synergy prediction in understudied tissues using transfer learning. J. Am. Medical Informatics Assoc. 28(1): 42-51 (2021) - [j18]Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang:
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics 119: 103818 (2021) - [j17]Seongmin Baek, Youn-Hee Gil, Yejin Kim:
VR-Based Job Training System Using Tangible Interactions. Sensors 21(20): 6794 (2021) - [c22]Kanglin Hsieh, Xiaoqian Jiang, Yejin Kim, Yu-Chun Hsu:
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction. AMIA 2021 - [c21]Yejin Kim, Yekyung Kim:
Learning Sub-Character level representation for Korean Named Entity Recognition. FLAIRS 2021 - [i9]Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. CoRR abs/2107.06773 (2021) - [i8]Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. CoRR abs/2109.12769 (2021) - [i7]Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim:
Scalable Causal Structure Learning: New Opportunities in Biomedicine. CoRR abs/2110.07785 (2021) - 2020
- [j16]Wonseok Chae, Yejin Kim:
Text-driven Speech Animation with Emotion Control. KSII Trans. Internet Inf. Syst. 14(8): 3473-3487 (2020) - [j15]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j14]Yejin Kim, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Xiaoqian Jiang:
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. J. Biomed. Informatics 107: 103462 (2020) - [j13]Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang, Samden D. Lhatoo:
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. BMC Medical Informatics Decis. Mak. 20-S(12): 326 (2020) - [j12]Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang:
Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. 20-S(12): 327 (2020) - [j11]Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guoqiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes, Jiajie Zhang:
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 328 (2020) - [j10]Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Hampson Jaison, Guo-Qiang Zhang:
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics Decis. Mak. 20-S(12): 329 (2020) - [j9]Carroll Vance, Yejin Kim, Guo-Qiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang:
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. BMC Medical Informatics Decis. Mak. 20-S(12): 330 (2020) - [c20]Yejin Kim, Juae Kim, Jungyun Seo:
Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER. BigComp 2020: 225-228 - [c19]Yejin Kim, Sungho Yun, Seungryong Cho:
Mask-guided diffusion optical tomography image reconstruction for breast imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171A - [i6]Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim:
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. CoRR abs/2009.10931 (2020) - [i5]Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transform Attention for Realistic Image Inpainting. CoRR abs/2012.04242 (2020)
2010 – 2019
- 2019
- [j8]Mankyu Sung, Yejin Kim:
GPU-based Fast Motion Synthesis of Large Crowds Using Adaptive Multi-Joint Models. Symmetry 11(3): 422 (2019) - [c18]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. AMIA 2019 - [c17]Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019: 2740-2746 - [c16]Sun Jung Lee, Sung Hye Yu, Yejin Kim, Jun Hyuk Hong, Choung-Soo Kim, Seong Il Seo, Chang Wook Jeong, Seok-Soo Byun, Byung Ha Chung, Ji Youl Lee, In Young Choi:
Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer. MedInfo 2019: 1506-1507 - [i4]Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui:
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. CoRR abs/1905.05827 (2019) - [i3]Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim:
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. CoRR abs/1905.05830 (2019) - [i2]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - 2018
- [j7]Sang-Woo Seo, Myunggyu Kim, Yejin Kim:
Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators. Sensors 18(5): 1323 (2018) - [j6]Sungjin Hong, Yejin Kim:
Dynamic Pose Estimation Using Multiple RGB-D Cameras. Sensors 18(11): 3865 (2018) - [c15]Kyeong Seon Kim, Dohyun Kwon, Yejin Kim, Junhui Kim, Joongheon Kim:
Self-Adaptive Machine Learning Operating Systems for Security Applications. ICASSP 2018: 6946-6950 - [c14]Sang-Woo Seo, Myunggyu Kim, Yejin Kim:
Efficient Sound-source Localization Method based on Direction Estimation using 2D Microphone Array. ICIT 2018: 301-306 - [c13]Sunjun Hwang, Kyeong Seon Kim, Yejin Kim, Junhui Kim, Miji Park, SooHyun Park, Joongheon Kim:
High-dimensional statistical supervised learning for extracting information in steganography. ICOIN 2018: 897-898 - [c12]Sungjin Hong, Myung-Gyu Kim, Yejin Kim:
Kick Recognition System Using Dual RGB-D Cameras. ICVIP 2018: 12-16 - 2017
- [j5]Yejin Kim:
Dance motion capture and composition using multiple RGB and depth sensors. Int. J. Distributed Sens. Networks 13(2) (2017) - [c11]Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu:
Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. BCB 2017: 516-525 - [c10]Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM 2017: 1179-1188 - [c9]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895 - [i1]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017) - 2016
- [j4]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Hwanjo Yu:
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. BMC Medical Informatics Decis. Mak. 16(S-1): 63 (2016) - 2015
- [j3]Yejin Kim, Myunggyu Kim:
Data-Driven Approach for Human Locomotion Generation. Int. J. Image Graph. 15(2): 1540001:1-1540001:19 (2015) - [c8]Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu:
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM 2015: 13 - 2012
- [j2]Yejin Kim, Michael Neff:
Automating Expressive Locomotion Generation. Trans. Edutainment 7: 48-61 (2012) - [c7]Yejin Kim, Michael Neff:
Component-based Locomotion Composition. Symposium on Computer Animation 2012: 165-173
2000 – 2009
- 2009
- [c6]Michael Neff, Yejin Kim:
Interactive editing of motion style using drives and correlations. Symposium on Computer Animation 2009: 103-112 - 2006
- [c5]Yejin Kim, Hyeon Bae, Kyungmin Poo, Jongrack Kim, Taesup Moon, Sungshin Kim, Changwon Kim:
Soft Sensor Using PNN Model and Rule Base for Wastewater Treatment Plant. ISNN (2) 2006: 1261-1269 - [c4]Hyewon Pyun, Yejin Kim, Wonseok Chae, Hyung Woo Kang, Sung Yong Shin:
An example-based approach for facial expression cloning. SIGGRAPH Courses 2006: 23 - 2005
- [c3]Hyeon Bae, Sungshin Kim, Yejin Kim, Changwon Kim:
Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants. Discovery Science 2005: 371-373 - [c2]Hyeon Bae, Sungshin Kim, Yejin Kim:
Design of Fuzzy Controller and Parameter Optimizer for Non-linear System Based on Operator's Knowledge. FSKD (1) 2005: 833-836 - 2003
- [j1]Hyeon Bae, Sungshin Kim, Man Hyung Lee, Yejin Kim, Chang Won Kim:
Knowledge-based unmanned automation and control systems for the SBR wastewater treatment process. Artif. Life Robotics 7(3): 107-111 (2003) - [c1]Hyewon Pyun, Yejin Kim, Wonseok Chae, Hyung Woo Kang, Sung Yong Shin:
An example-based approach for facial expression cloning. Symposium on Computer Animation 2003: 167-176
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-29 21:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
