In-Ho Kang - Concepedia

Author

In-Ho Kang

Seoul National University ORCID

Also Known As

IN-HO KANG, In-Ho Kang, Inho Kang, Kang, Inho, Sung-Jin Park

Publications

709

Citations

H-Index

Concepts

All Affiliations

Seoul National University Naver (South Korea)Korea Advanced Institute of Science and Technology Rutgers, The State University of New Jersey

About

In-Ho Kang is an author at Seoul National University specializing in engineering, natural language processing, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	650
2	Data Science	6	6	426
3	Language Studies	4	4	271
4	Computer Science	3	3	351
5	Management	1	1	46

In-Ho Kang

Publications

650

Citations

H-Index

Page 1

	Year	Citations
Query type classification for web document retrieval In-Ho Kang, Gil-Chang Kim Query Type ClassificationEngineeringShort User QueriesIntelligent Information RetrievalHeterogeneous Web	2003	250
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information Seonhoon Kim, In-Ho Kang, Nojun Kwak Proceedings of the AAAI Conference on Artificial Intelligence Structured PredictionEngineeringMachine LearningSemantic Sentence MatchingRecurrent Neural Network	2019	184
A differentiated one-class classification method with applications to intrusion detection In-Ho Kang, Myong K. Jeong, Dongjoon Kong Expert Systems with Applications Hardware SecurityData ClassificationClassification MethodAnomaly DetectionMachine Learning	2011	55
A New Feature Selection Method for One-Class Classification Problems Young‐Seon Jeong, In-Ho Kang, Myong K. Jeong, IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) Anomaly DetectionMachine LearningEngineeringDiagnosisFeature Selection	2012	46
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information Seonhoon Kim, In-Ho Kang, Nojun Kwak arXiv (Cornell University) Structured PredictionEngineeringMachine LearningSemantic Sentence MatchingRecurrent Neural Network	2018	40
Unsupervised named entity classification models and their ensembles Jaeho Kim, In-Ho Kang, Key‐Sun Choi EngineeringCorpus LinguisticsText MiningNatural Language ProcessingEntity Classification Models	2002	36
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceVideo Question AnsweringEngineeringMachine LearningVideo Summarization	2021	28
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers Boseop Kim, HyoungSeok Kim, Sang‐Woo Lee, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing EngineeringMultilingualismPart-of-speech TaggingLarge Language ModelLanguage Learning	2021	11

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