| 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 | 242 | 2018 |
| Inception: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems H Jin, L Su, H Xiao, K Nahrstedt Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc …, 2016 | 200 | 2016 |
| Cloud-enabled privacy-preserving truth discovery in crowd sensing systems C Miao, W Jiang, L Su, Y Li, S Guo, Z Qin, H Xiao, J Gao, K Ren Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems …, 2015 | 179 | 2015 |
| Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems H Jin, L Su, H Xiao, K Nahrstedt IEEE/ACM Transactions on Networking 26 (5), 2019-2032, 2018 | 155 | 2018 |
| Developing synthesis flows without human knowledge C Yu, H Xiao, G De Micheli Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 101 | 2018 |
| Towards data poisoning attacks in crowd sensing systems C Miao, Q Li, H Xiao, W Jiang, M Huai, L Su Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc …, 2018 | 94 | 2018 |
| Privacy-preserving truth discovery in crowd sensing systems C Miao, W Jiang, L Su, Y Li, S Guo, Z Qin, H Xiao, J Gao, K Ren ACM Transactions on Sensor Networks (TOSN) 15 (1), 1-32, 2019 | 72 | 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 | 71 | 2016 |
| 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 | 55 | 2017 |
| A truth discovery approach with theoretical guarantee H Xiao, J Gao, Z Wang, S Wang, L Su, H Liu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 47 | 2016 |
| Towards differentially private truth discovery for crowd sensing systems Y Li, H Xiao, Z Qin, C Miao, L Su, J Gao, K Ren, B Ding 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 37 | 2020 |
| Tackling the redundancy and sparsity in crowd sensing applications C Meng, H Xiao, L Su, Y Cheng Proceedings of the 14th ACM Conference on embedded network sensor systems CD …, 2016 | 37 | 2016 |
| 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 | 37 | 2016 |
| A general framework for diagnosis prediction via incorporating medical code descriptions F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 35 | 2018 |
| Network security apparatus and method of detecting malicious behavior in computer networks via cost-sensitive and connectivity constrained classification J Gao, D Turaga, LH Vu, H Xiao US Patent 10,305,921, 2019 | 33 | 2019 |
| Towards confidence interval estimation in truth discovery H Xiao, J Gao, Q Li, F Ma, L Su, Y Feng, A Zhang IEEE Transactions on Knowledge and Data Engineering 31 (3), 575-588, 2018 | 29 | 2018 |
| Learning temporal state of diabetes patients via combining behavioral and demographic data H Xiao, J Gao, L Vu, DS Turaga Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 25 | 2017 |
| Fedcon: A contrastive framework for federated semi-supervised learning Z Long, J Wang, Y Wang, H Xiao, F Ma arXiv preprint arXiv:2109.04533, 2021 | 23 | 2021 |
| Fedsemi: An adaptive federated semi-supervised learning framework Z Long, L Che, Y Wang, M Ye, J Luo, J Wu, H Xiao, F Ma arXiv preprint arXiv:2012.03292 24, 2020 | 20 | 2020 |
| Temporal multi-view inconsistency detection for network traffic analysis H Xiao, J Gao, DS Turaga, LH Vu, A Biem Proceedings of the 24th International Conference on World Wide Web, 455-465, 2015 | 20 | 2015 |
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
