| Big data driven hidden Markov model based individual mobility prediction at points of interest Q Lv, Y Qiao, N Ansari, J Liu, J Yang IEEE Transactions on Vehicular Technology 66 (6), 5204-5216, 2016 | 162 | 2016 |
| Characterizing user behavior in mobile internet J Yang, Y Qiao, X Zhang, H He, F Liu, G Cheng IEEE transactions on emerging topics in computing 3 (1), 95-106, 2014 | 148 | 2014 |
| Variational Bayesian matrix factorization for bounded support data Z Ma, AE Teschendorff, A Leijon, Y Qiao, H Zhang, J Guo IEEE transactions on pattern analysis and machine intelligence 37 (4), 876-889, 2014 | 138 | 2014 |
| A mobility analytical framework for big mobile data in densely populated area Y Qiao, Y Cheng, J Yang, J Liu, N Kato IEEE transactions on Vehicular Technology 66 (2), 1443-1455, 2016 | 108 | 2016 |
| A hybrid Markov-based model for human mobility prediction Y Qiao, Z Si, Y Zhang, FB Abdesslem, X Zhang, J Yang Neurocomputing 278, 99-109, 2018 | 97 | 2018 |
| A novel deep framework for dynamic malware detection based on API sequence intrinsic features C Li, Q Lv, N Li, Y Wang, D Sun, Y Qiao Computers & Security 116, 102686, 2022 | 79 | 2022 |
| Survey of deep learning for autonomous surface vehicles in marine environments Y Qiao, J Yin, W Wang, F Duarte, J Yang, C Ratti IEEE Transactions on Intelligent Transportation Systems 24 (4), 3678-3701, 2023 | 65 | 2023 |
| A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications J Xie, Z Song, Y Li, Y Zhang, H Yu, J Zhan, Z Ma, Y Qiao, J Zhang, J Guo Wireless Communications and Mobile Computing 2018 (1), 8738613, 2018 | 56 | 2018 |
| Mobile big-data-driven rating framework: measuring the relationship between human mobility and app usage behavior Y Qiao, X Zhao, J Yang, J Liu IEEE Network 30 (3), 14-21, 2016 | 47 | 2016 |
| Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework G Xu, W Hu, Y Qiao, Y Zhou Scientometrics 124 (3), 2057-2081, 2020 | 39 | 2020 |
| Characterizing Flow, Application, and User Behavior in Mobile Networks: A Framework for Mobile Big Data Yuanyuan Qiao, Zhizhuang Xing, Zubair Md Fadlullah, Jie Yang, Nei Kato IEEE Wireless Communications 25 (1), 40-49, 2018 | 39 | 2018 |
| Siamese neural networks for user identity linkage through web browsing Y Qiao, Y Wu, F Duo, W Lin, J Yang IEEE transactions on neural networks and learning systems 31 (8), 2741-2751, 2019 | 34 | 2019 |
| An improved Markov method for prediction of user mobility Y Cheng, Y Qiao, J Yang 2016 12th International Conference on Network and Service Management (CNSM …, 2016 | 31 | 2016 |
| Prediction of user mobility pattern on a network traffic analysis platform H He, Y Qiao, S Gao, J Yang, J Guo Proceedings of the 10th International Workshop on Mobility in the Evolving …, 2015 | 23 | 2015 |
| Oscillation resolution for massive cell phone traffic data L Qi, Y Qiao, FB Abdesslem, Z Ma, J Yang Proceedings of the First Workshop on Mobile Data, 25-30, 2016 | 22 | 2016 |
| Hidden Markov Model based user mobility analysis in LTE network Q Lv, Z Mei, Y Qiao, Y Zhong, Z Lei 2014 International Symposium on wireless personal multimedia communications …, 2014 | 20 | 2014 |
| Global and individual mobility pattern discovery based on hotspots J Yang, X Zhang, Y Qiao, Z Fadlullah, N Kato 2015 IEEE International Conference on Communications (ICC), 5577-5582, 2015 | 18 | 2015 |
| User location prediction with energy efficiency model in the long term‐evolution network Y Qiao, J Yang, H He, Y Cheng, Z Ma International Journal of Communication Systems 29 (14), 2169-2187, 2016 | 17 | 2016 |
| Prediction of user app usage behavior from geo-spatial data X Zhao, Y Qiao, Z Si, J Yang, A Lindgren Proceedings of the Third International ACM SIGMOD Workshop on Managing and …, 2016 | 17 | 2016 |
| Offline traffic analysis system based on Hadoop Y Qiao, Z Lei, Y Lun, M GUO The Journal of China Universities of Posts and Telecommunications 20 (5), 97-103, 2013 | 17 | 2013 |
Lv QiujianZweryfikowany adres z iie.ac.cn
