| 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 | 237* | 2017 |
| 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 | 188 | 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 | 156 | 2015 |
| 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 | 114 | 2018 |
| 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 | 54* | 2018 |
| 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 | 48 | 2017 |
| 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 | 47 | 2016 |
| 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 | 46 | 2016 |
| 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 | 45 | 2017 |
| Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources F Ma, C Meng, H Xiao, Q Li, J Gao, L Su, A Zhang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 42 | 2017 |
| Discovering Social Spammers from Multiple Views H Shen, F Ma, X Zhang, L Zong, X Liu, W Liang Neurocomputing 225, 49--57, 2017 | 42 | 2017 |
| 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 | 39 | 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 | 39 | 2018 |
| Topic Discovery for Short Texts Using Word Embeddings G Xun, V Gopalakrishnan, F Ma, Y Li, J Gao, A Zhang 2016 IEEE 16th International Conference on Data Mining (ICDM), 1299--1304, 2016 | 34 | 2016 |
| 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 | 33 | 2018 |
| 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 | 30 | 2018 |
| Topical Influential User Analysis with Relationship Strength Estimation in Twitter X Liu, H Shen, F Ma, W Liang Data Mining Workshop (ICDMW), 2014 IEEE International Conference on, 1012-1019, 2014 | 28 | 2014 |
| 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 | 26 | 2019 |
| Texttruth: an unsupervised approach to discover trustworthy information from multi-sourced text data H Zhang, Y Li, F Ma, J Gao, L Su Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 24 | 2018 |
| Influence-aware Truth Discovery H Zhang, Q Li, F Ma, H Xiao, Y Li, J Gao, L Su Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 21 | 2016 |
Jing GaoAssociate Professor, Computer Science and Engineering, SUNY at BuffaloVerified email at buffalo.edu
