Browse "School of Electrical Engineering(전기및전자공학부)" by Author Shin, Kijung
Showing results 1 to 25 of 25
| Classification of Edge-dependent Labels of Nodes in Hypergraphs Choe, Min Young; Kim, Sunwoo; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.298 - 309, Association for Computing Machinery, 2023-08-09 |
| Comprehensive data analysis on the EOS blockchain = EOS 블록체인의 종합적인 데이터 분석에 관한 연구link Choo, Hyunjin; Kim, Yongdae; 김용대; Shin, Kijung; et al, 한국과학기술원, 2020 |
| CoreScope: Graph Mining Using k-Core Analysis — Patterns, Anomalies and Algorithms Shin, Kijung; Eliassi-Rad, Tina; Faloutsos, Christos, IEEE International Conference on Data Mining (ICDM), IEEE Computer Society, 2016-12-13 |
| D-Cube: Dense-Block Detection in Terabyte-Scale Tensors Shin, Kijung; Hooi, Bryan; Kim, Jisu; Faloutsos, Christos, ACM International Conference on Web Search and Data Mining (WSDM), ACM Special Interest Group on Information Retrieval (SIGIR), 2017-02-09 |
| Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression Kang, Dongyeop; Lim, Woosang; Shin, Kijung; Sael, Lee; Kang, U., 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014, pp.1269 - 1278, Association for Computing Machinery, Inc, 2014-11-05 |
| Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data Han, Seungjae; Cho, Eun-Seo; Park, Inkyu; Shin, Kijung; Yoon, Young-Gyu, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.595 - 604, Springer International Publishing, 2021-09-28 |
| FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Hooi, Bryan; Song, Hyun Ah; Beutel, Alex; Shah, Neil; Shin, Kijung; Faloutsos, Christos, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2016-08-15 |
| How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction Yoon, Se-eun; Song, Hyungseok; Shin, Kijung; Yi, Yung, The Web Conference 2020, WWW 2020, pp.2627 - 2633, Association for Computing Machinery, 2020-04-20 |
| How much and when do we need higher-order information in hypergraphs? A Case Study on Hyperedge Prediction = 하이퍼그래프에서 고차 정보는 언제 얼마나 필요할까? 하이퍼엣지 예측에서의 사례 연구link Yoon, Se-eun; Yi, Yung; 이융; Shin, Kijung; et al, 한국과학기술원, 2020 |
| How Transitive Are Real-World Group Interactions? - Measurement and Reproduction Kim, Sunwoo; Bu, Fanchen; Choe, Min Young; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.1132 - 1143, Association for Computing Machinery, 2023-08-08 |
| Incorporating Side Information in Tensor Completion Lamba, Hemank; Nagarajan, Vaishnavh; Shin, Kijung; Shajarisales, Naji, International Conference Companion on World Wide Web (WWW Companion), International World Wide Web Conference Committee, 2016-04-14 |
| M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees Shin, Kijung; Hooi, Bryan; Faloutsos, Christos, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp.264 - 280, Springer, 2016-09-23 |
| MiDaS: Representative Sampling from Real-world Hypergraphs Choe, Min Young; Yoo, Jaemin; Lee, Geon; Baek, Woonsung; Kang, U; Shin, Kijung, 31st ACM World Wide Web Conference, WWW 2022, pp.1080 - 1092, Association for Computing Machinery, Inc, 2022-04-25 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators Lee, Geon; Yoo, Jaemin; Shin, Kijung, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.5144 - 5147, Association for Computing Machinery, 2022-10-19 |
| Mining of Real-world Hypergraphs: Patterns, Tools, and Generators Lee, Geon; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.5811 - 5812, Association for Computing Machinery, 2023-08-06 |
| Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators Kim, Sunwoo; Choe, Min Young; Yoo, Jaemin; Shin, Kijung, The 22nd IEEE International Conference on Data Mining, ICDM 2022, pp.1005 - 1010, IEEE Computer Society, 2022-11-30 |
| Reciprocity in directed hypergraphs: measures, findings, and generators Kim, Sunwoo; Choe, Minyoung; Yoo, Jaemin; Shin, Kijung, DATA MINING AND KNOWLEDGE DISCOVERY, v.37, no.6, pp.2330 - 2388, 2023-11 |
| Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition Cho, Junmo; Han, Seungjae; Cho, Eun-Seo; Shin, Kijung; Yoon, Young-Gyu, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, pp.1938 - 1947, Institute of Electrical and Electronics Engineers Inc., 2023-01 |
| S-HOT: Scalable High-Order Tucker Decomposition Oh, Jinoh; Shin, Kijung; Papalexakis, Evangelos E.; Faloutsos, Christos; Yu, Hwanjo, ACM International Conference on Web Search and Data Mining (WSDM), ACM Special Interest Group on Information Retrieval (SIGIR), 2017-02-09 |
| SMF: Drift Aware Matrix Factorization with Seasonal Patterns Hooi, Bryan; Shin, Kijung; Liu, Shenghua; Faloutsos, Christos, SIAM International Conference on Data Mining (SDM), SIAM, 2019-05-03 |
| Towards Deep Attention in Graph Neural Networks: Problems and Remedies Lee, Soo Yong; Bu, Fanchen; Yoo, Jaemin; Shin, Kijung, 40th International Conference on Machine Learning, ICML 2023, pp.18733 - 18773, ML Research Press, 2023-07-26 |
| Tutorials at The Web Conference 2023 Fionda, Valeria; Hartig, Olaf; Abdolazimi, Reyhaneh; Amer-Yahia, Sihem; Chen, Hongzhi; Chen, Xiao; Cui, Peng; et al, WWW '23: The ACM Web Conference 2023, ACM, 2023-04-30 |
| Why You Should Charge Your Friends for Borrowing Your Stuff Shin, Kijung; Lee, Euiwoong; Eswaran, Dhivya; Procaccia, Ariel D., International Joint Conference on Artificial Intelligence (IJCAI), International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2017-08-25 |
| WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams Shin, Kijung, IEEE International Conference on Data Mining (ICDM), IEEE Computer Society, 2017-11-20 |
| zooRank: Ranking Suspicious Entities in Time-Evolving Tensors Lamba, Hemank; Hooi, Bryan; Shin, Kijung; Faloutsos, Christos; Pfeffer, Jürgen, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp.68 - 84, Springer, 2017-09-21 |
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