| Eann: Event adversarial neural networks for multi-modal fake news detection Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 587 | 2018 |
| Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks F Ma, R Chitta, J Zhou, Q You, T Sun, J Gao Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 463* | 2017 |
| Towards environment independent device free human activity recognition W Jiang, C Miao, F Ma, S Yao, Y Wang, Y Yuan, H Xue, C Song, X Ma, ... Proceedings of the 24th annual international conference on mobile computing …, 2018 | 323 | 2018 |
| Faitcrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation F Ma, Y Li, Q Li, M Qiu, J Gao, S Zhi, L Su, B Zhao, H Ji, J Han Proceedings of the 21st ACM SIGKDD International Conference on Knowledge …, 2015 | 223 | 2015 |
| Kame: Knowledge-based attention model for diagnosis prediction in healthcare F Ma, Q You, H Xiao, R Chitta, J Zhou, J Gao Proceedings of the 27th ACM International Conference on Information and …, 2018 | 143 | 2018 |
| Risk prediction on electronic health records with prior medical knowledge F Ma, J Gao, Q Suo, Q You, J Zhou, A Zhang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 106 | 2018 |
| Deep patient similarity learning for personalized healthcare Q Suo, F Ma, Y Yuan, M Huai, W Zhong, J Gao, A Zhang IEEE transactions on nanobioscience 17 (3), 219-227, 2018 | 92 | 2018 |
| Weak Supervision for Fake News Detection via Reinforcement Learning Y Wang, W Yang, F Ma, J Xu, B Zhong, Q Deng, J Gao Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence …, 2020 | 90 | 2020 |
| Personalized Disease Prediction Using A CNN-Based Similarity Learning Method Q Suo, F Ma, Y Yuan, M Huai, W Zhong, A Zhang Proceedings of 2017 IEEE International Conference on Bioinformatics and …, 2017 | 82 | 2017 |
| Deterrent: Knowledge guided graph attention network for detecting healthcare misinformation L Cui, H Seo, M Tabar, F Ma, S Wang, D Lee Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 78 | 2020 |
| Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records J Luo, M Ye, C Xiao, F Ma Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 71 | 2020 |
| A novel channel-aware attention framework for multi-channel eeg seizure detection via multi-view deep learning Y Yuan, G Xun, F Ma, Q Suo, H Xue, K Jia, A Zhang 2018 IEEE EMBS international conference on biomedical & health informatics …, 2018 | 69 | 2018 |
| Multi-grained named entity recognition C Xia, C Zhang, T Yang, Y Li, N Du, X Wu, W Fan, F Ma, P Yu arXiv preprint arXiv:1906.08449, 2019 | 65 | 2019 |
| Minimizing charging delay for directional charging in wireless rechargeable sensor networks C Lin, Y Zhou, F Ma, J Deng, L Wang, G Wu IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1819-1827, 2019 | 64 | 2019 |
| Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach H Xiao, J Gao, Q Li, F Ma, L Su, Y Feng, A Zhang Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 63 | 2016 |
| A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks Q Suo, F Ma, G Canino, J Gao, A Zhang, P Veltri, A Gnasso AMIA 2017 Annual Symposium, 2017 | 62 | 2017 |
| Discovering Social Spammers from Multiple Views H Shen, F Ma, X Zhang, L Zong, X Liu, W Liang Neurocomputing 225, 49--57, 2017 | 61 | 2017 |
| Muvan: A multi-view attention network for multivariate temporal data Y Yuan, G Xun, F Ma, Y Wang, N Du, K Jia, L Su, A Zhang 2018 IEEE International Conference on Data Mining (ICDM), 717-726, 2018 | 60 | 2018 |
| Crowdsourcing High Quality Labels with a Tight Budget Q Li, F Ma, J Gao, L Su, C Quinn ACM International Conference on Web Search and Data Ming (WSDM), 2016 | 59 | 2016 |
| Joint imbalanced classification and feature selection for hospital readmissions G Du, J Zhang, Z Luo, F Ma, L Ma, S Li Knowledge-Based Systems 200, 106020, 2020 | 55 | 2020 |
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
