• 386 Citations
  • 11 h-Index
20102019
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Fingerprint Dive into the research topics where Fenglong Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 21 Similar Profiles
Health Engineering & Materials Science
Learning Medicine & Life Sciences
Labels Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Experiments Engineering & Materials Science
Discriminators Engineering & Materials Science
Agglomeration Engineering & Materials Science
Fusion reactions Engineering & Materials Science

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Research Output 2010 2019

  • 386 Citations
  • 11 h-Index
  • 30 Conference contribution
  • 5 Article
  • 3 Conference article
  • 1 Paper
2 Citations (Scopus)

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions

Ma, F., Wang, Y., Xiao, H., Yuan, Y., Chitta, R., Zhou, J. & Gao, J., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1070-1075 6 p. 8621395. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

Informatics
Neural Networks (Computer)
Recurrent neural networks
Health Status
Websites

Deepfusion: A deep learning framework for the fusion of heterogeneous sensory data

Xue, H., Jiang, W., Miao, C., Yuan, Y., Ma, F., Ma, X., Wang, Y., Yao, S., Xu, W., Zhang, A. & Su, L., Jul 2 2019, Mobihoc 2019 - Proceedings of the 2019 20th ACM International Symposium on Mobile Ad Hoc Networking and Computing. Association for Computing Machinery, p. 151-160 10 p. (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)).

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

Fusion reactions
Sensors
Intelligent buildings
Testbeds
Deep learning

Influenza-like symptom prediction by analyzing self-reported health status and human mobility behaviors

Ma, F., Zhong, S., Gao, J. & Bian, L., Sep 4 2019, ACM-BCB 2019 - Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. Association for Computing Machinery, Inc, p. 233-242 10 p. (ACM-BCB 2019 - Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics).

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

Open Access
Human Influenza
Health Status
Support vector machines
Health
Classifiers

MCVae: Margin-based conditional variational autoencoder for relation classification and pattern generation

Ma, F., Gao, J., Li, Y., Du, N., Zhang, C. & Fan, W., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 3041-3048 8 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

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

Processing
Experiments

Metric learning on healthcare data with incomplete modalities

Suo, Q., Zhong, W., Ma, F., Yuan, Y., Gao, J. & Zhang, A., Jan 1 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 3534-3540 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

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

Discriminators