Jun Huan - Concepedia

Author

Jun Huan

Baidu (China)ORCID

Also Known As

Bandyopadhyay, Deepak, Chen, Zeyu, Huan, Jun, J Huan, J. Huan, Jun (Luke) Huan, Jun Huan, Tropsha, Alexander

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

Baidu (China)University of Kansas University of North Carolina at Chapel Hill Peking University Missouri University of Science and Technology

About

Jun Huan is an author at Baidu (China) specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	31	2.1K
2	Business	7	7	1.1K
3	Medicine	4	4	174
4	Public Health	2	2	30
5	Education	1	1	11

Jun Huan

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
Efficient mining of frequent subgraphs in the presence of isomorphism Jun Huan, Wei Wang, Jan F. Prins EngineeringPattern DiscoveryNetwork AnalysisPattern MiningEfficient Mining	2004	615
SPIN Jun Huan, Wei Wang, Jan F. Prins, EngineeringGraph TheoryData ScienceData MiningFrequent Pattern Mining	2004	326
Large margin transductive transfer learning Brian Quanz, Jun Huan Artificial IntelligenceTransductive Transfer LearningEngineeringMachine LearningData Science	2009	135
Inductive multi-task learning with multiple view data Jintao Zhang, Jun Huan Multiple Instance LearningEngineeringMachine LearningImage AnalysisData Science	2012	132
Mining protein family specific residue packing patterns from protein structure graphs Jun Huan, Wei Wang, Deepak Bandyopadhyay, Protein GraphEngineeringProtein Structural FamiliesStructural BioinformaticsPattern Discovery	2004	110
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks Xingjian Li, Haoyi Xiong, Hanchao Wang, arXiv (Cornell University) Few-shot LearningConvolutional Neural NetworkPre-trainingEngineeringMachine Learning	2019	88
Ultrafast Photorealistic Style Transfer via Neural Architecture Search Jie An, Haoyi Xiong, Jun Huan, Proceedings of the AAAI Conference on Artificial Intelligence Machine VisionMachine LearningImage AnalysisEngineeringPhotorealistic Style Transfer	2020	73
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang, Tianyang Wang, Haoyi Xiong, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) Artificial IntelligenceStructured PredictionData AnnotationEngineeringMachine Learning	2021	65
Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue Brian Quanz, Jun Huan, Meenakshi Mishra IEEE Transactions on Knowledge and Data Engineering Sparse CodingEngineeringMachine LearningKnowledge ExtractionKnowledge Technology	2012	62
Instance-Based Deep Transfer Learning Tianyang Wang, Jun Huan, Michelle Zhu Few-shot LearningMultiple Instance LearningEngineeringMachine LearningDeep Transfer Learning	2019	47

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