• 431 Citations
  • 12 h-Index
20102019
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Research Output 2010 2019

  • 431 Citations
  • 12 h-Index
  • 30 Conference contribution
  • 6 Article
  • 3 Conference article
  • 1 Paper
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Conference contribution
2019
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

Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks

Lin, C., Zhou, Y., Ma, F., Deng, J., Wang, L. & Wu, G., Apr 1 2019, INFOCOM 2019 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., p. 1819-1827 9 p. 8737589. (Proceedings - IEEE INFOCOM; vol. 2019-April).

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

Sensor networks
Technology transfer
Sensors
Merging
Energy transfer
2 Citations (Scopus)

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks

Yuan, Y., Jia, K., Ma, F., Xun, G., Wang, Y., Su, L. & Zhang, A., 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. 963-968 6 p. 8621146. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

Polysomnography
Sleep Stages
Learning
Benchmarking
Informatics

Optimizing the wisdom of the crowd: Inference, learning, and teaching

Zhou, Y., Ma, F., Gao, J. & 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. 3231-3232 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Supervised learning
Teaching
Agglomeration
Feedback
Costs
2018
11 Citations (Scopus)

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning

Yuan, Y., Xun, G., Ma, F., Suo, Q., Xue, H., Jia, K. & Zhang, A., Apr 6 2018, 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018. Institute of Electrical and Electronics Engineers Inc., p. 206-209 4 p. (2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018; vol. 2018-January).

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

Electroencephalography
Seizures
Learning
Epilepsy
Scalp
19 Citations (Scopus)

EANN: Event adversarial neural networks for multi-modal fake news detection

Wang, Y., Ma, F., Jin, Z., Yuan, Y., Xun, G., Jha, K., Su, L. & Gao, J., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 849-857 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Discriminators
Detectors
Neural networks
Experiments

EOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors

Xiao, H., Wang, F., Ma, F. & Gao, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1326-1331 6 p. 8594989. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

Tensors
Singular value decomposition
Bioinformatics
Image processing
8 Citations (Scopus)

KAME: Knowledge-based attention model for diagnosis prediction in healthcare

Ma, F., Chitta, R., You, Q., Zhou, J., Xiao, H. & Gao, J., Oct 17 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 743-752 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

Prediction
Healthcare
Graph
Knowledge-based
Health information
1 Citation (Scopus)

Leveraging the power of informative users for local event detection

Zhang, H., Ma, F., Li, Y., Zhang, C., Wang, T., Wang, Y., Gao, J. & Su, L., Oct 24 2018, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Tagarelli, A., Reddy, C. & Brandes, U. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 429-436 8 p. 8508618. (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

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

event
social media
Accidents
Experiments
Event detection
5 Citations (Scopus)

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression

Suo, Q., Zhong, W., Ma, F., Ye, Y., Huai, M. & Zhang, A., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 477-486 10 p. 8594872. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

Patient monitoring
Labels
Feature extraction
6 Citations (Scopus)

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data

Yuan, Y., Xun, G., Ma, F., Wang, Y., Du, N., Jia, K., Su, L. & Zhang, A., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 717-726 10 p. 8594896. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

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

Time series
Data mining
Data structures
Experiments
Deep learning
10 Citations (Scopus)

Risk prediction on electronic health records with prior medical knowledge

Ma, F., You, Q., Gao, J., Zhou, J., Suo, Q. & Zhang, A., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1910-1919 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Health
Learning systems
Deep learning
8 Citations (Scopus)

Text truth: An unsupervised approach to discover trustworthy information from multi-sourced text data

Zhang, H., Li, Y., Ma, F., Gao, J. & Su, L., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2729-2737 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Semantics
Experiments
19 Citations (Scopus)

Towards environment independent device free human activity recognition

Jiang, W., Miao, C., Ma, F., Yao, S., Wang, Y., Yuan, Y., Xue, H., Song, C., Ma, X., Koutsonikolas, D., Xu, W. & Su, L., Oct 15 2018, MobiCom 2018 - Proceedings of the 24th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery, p. 289-304 16 p. (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM).

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

Testbeds
Ultrasonics
Experiments
Deep learning
1 Citation (Scopus)

WiAU: An accurate device-free authentication system with resnet

Lin, C., Hu, J., Sun, Y., Ma, F., Wang, L. & Wu, G., Jun 26 2018, 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-9 9 p. (2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018).

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

Authentication
Channel state information
Routers
Experiments
2017
73 Citations (Scopus)

Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks

Ma, F., Chitta, R., Zhou, J., You, Q., Sun, T. & Gao, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1903-1911 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

Recurrent neural networks
Health
3 Citations (Scopus)

Discovering truths from distributed data

Wang, Y., Ma, F., Su, L. & Gao, J., Dec 15 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 505-514 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2017-November).

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

Servers
Data privacy
Communication
Agglomeration
Uncertainty
16 Citations (Scopus)

Personalized disease prediction using a CNN-based similarity learning method

Suo, Q., Ma, F., Yuan, Y., Huai, M., Zhong, W., Zhang, A. & Gao, J., Dec 15 2017, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Yoo, I., Zheng, J. H., Gong, Y., Hu, X. T., Shyu, C-R., Bromberg, Y., Gao, J. & Korkin, D. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 811-816 6 p. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; vol. 2017-January).

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

Learning
Fusion reactions
Health
Information use
Probability distributions
15 Citations (Scopus)

Topic discovery for short texts using word embeddings

Xun, G., Gopalakrishnan, V., Ma, F., Gao, J. & Zhang, A., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1299-1304 6 p. 7837989. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

Vector spaces
Semantics
20 Citations (Scopus)

Unsupervised discovery of drug side-effects from heterogeneous data sources

Ma, F., Meng, C., Xiao, H., Li, Q., Gao, J., Su, L. & Zhang, A., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 967-976 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

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

Public health
Drug products
Labels
Industry
2016
20 Citations (Scopus)

Crowdsourcing high quality labels with a tight budget

Li, Q., Ma, F., Gao, J., Su, L. & Quinn, C. J., Feb 8 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 237-246 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

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

Open Access
Labeling
Labels
Experiments
9 Citations (Scopus)

Influence-aware truth discovery

Zhang, H., Li, Q., Ma, F., Xiao, H., Li, Y., Gao, J. & Su, L., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 851-860 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

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

Open Access
Trustworthiness
Probabilistic model
Experiment

Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data

Ma, F. & Gao, J., Jan 29 2016, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Wu, X., Tuzhilin, A., Xiong, H., Dy, J. G., Aggarwal, C., Zhou, Z-H. & Cui, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1556-1557 2 p. 7395859. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

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

Agglomeration
Statistical Models
22 Citations (Scopus)

Towards confidence in the truth: A bootstrapping based truth discovery approach

Xiao, H., Gao, J., Li, Q., Ma, F., Su, L., Feng, Y. & Zhang, A., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1935-1944 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

Open Access
2015
73 Citations (Scopus)

FaitCrowd: Fine grained truth discovery for crowdsourced data aggregation

Ma, F., Li, Y., Li, Q., Qiu, M., Gao, J., Zhi, S., Su, L., Zhao, B., Ji, H. & Han, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 745-754 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

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

Agglomeration
2010

Hypergraph partition with harmonic average top-N and PCA for Topic Detection

Liu, X., Ma, F., Lin, H. & Shen, H., Dec 1 2010, Proceedings - 3rd International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2010. p. 269-276 8 p. 5715093. (Proceedings - 3rd International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2010).

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

Experiments