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Fingerprint Dive into the research topics where Jingrui He is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Labels Engineering & Materials Science
Image retrieval Engineering & Materials Science
Tensors Engineering & Materials Science
Classifiers Engineering & Materials Science
Semiconductor materials Engineering & Materials Science
Feedback Engineering & Materials Science
Feature extraction Engineering & Materials Science
Learning systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2004 2019

  • 1461 Citations
  • 17 h-Index
  • 77 Conference contribution
  • 27 Article
  • 1 Chapter
  • 1 Comment/debate

Deep multimodality model for multi-task multi-view learning

Zheng, L., Cheng, Y. & He, J., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 10-16 7 p. (SIAM International Conference on Data Mining, SDM 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image classification
Learning algorithms
Websites
Deep neural networks
Deep learning

Demo-Net: Degree-specific graph neural networks for node and graph classification

Wu, J., He, J. & Xu, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 406-415 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Convolution
Neural networks
Seed
Hilbert spaces
Density (specific gravity)

Gold panning from the mess: Rare category exploration, exposition, representation, and interpretation

Zhou, D. & He, J., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3213-3214 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Decision support systems
Labels
Gold
1 Citation (Scopus)

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation

Wu, J., He, J. & Liu, Y., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 871-880 10 p. 8622603. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Accidents
Sampling
Air traffic control
Electric network analysis
Labels

Motif-Preserving Dynamic Local Graph Cut

Zhou, D., He, J., Davulcu, H. & Maciejewski, R., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1156-1161 6 p. 8622263. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Finance
Stars
Large scale systems

Projects 2014 2024