| Cellular network traffic prediction incorporating handover: a graph convolutional approach S Zhao, X Jiang, G Jacobson, R Jana, WL Hsu, R Rustamov, M Talasila, ... The 17th Annual IEEE International Conference on Sensing, Communication and …, 2020 | 62 | 2020 |
| Packaging and sharing machine learning models via the Acumos AI open platform S Zhao, M Talasila, G Jacobson, C Borcea, SA Aftab, JF Murray 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 58 | 2018 |
| Privacy-Aware Federated Learning for Page Recommendation S Zhao, R Bharati, C Borcea, Y Chen 2020 IEEE International Conference on Big Data, 2020 | 29 | 2020 |
| Speaking with actions-learning customer journey behavior Q Wu, WL Hsu, T Xu, Z Liu, G Ma, G Jacobson, S Zhao 2019 IEEE 13th International Conference on Semantic Computing (ICSC), 279-286, 2019 | 27 | 2019 |
| Ad blocking and counter-ad blocking: analysis of online ad blocker usage S Zhao, C Wang, A Kalra, L Vaks, C Borcea, Y Chen The annual Americas Conference on Information Systems (AMCIS), 2017 | 20 | 2017 |
| Webpage depth viewability prediction using deep sequential neural networks C Wang, S Zhao, A Kalra, C Borcea, Y Chen IEEE Transactions on Knowledge and Data Engineering 31 (3), 601-614, 2019 | 19 | 2019 |
| Federated meta-location learning for fine-grained location prediction X Jiang, S Zhao, G Jacobson, R Jana, WL Hsu, M Talasila, SA Aftab, ... 2021 IEEE International Conference on Big Data (Big Data), 446-456, 2021 | 8 | 2021 |
| To be tough or soft: measuring the impact of counter-ad-blocking strategies on user engagement S Zhao, A Kalra, C Borcea, Y Chen The Web Conference (WWW 2020), 2020 | 5 | 2020 |
| Ad blocking whitelist prediction for online publishers S Zhao, A Kalra, C Wang, C Borcea, Y Chen 2019 IEEE International Conference on Big Data, 1711-1716, 2019 | 5 | 2019 |
| Characterizing and learning representation on customer contact journeys in cellular services S Zhao, WL Hsu, G Ma, T Xu, G Jacobson, R Rustamov The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD …, 2020 | 4 | 2020 |
| Personalized Dynamic Counter Ad-Blocking Using Deep Learning S Zhao, M Chen, C Borcea, Y Chen IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| Predictive models and analysis for webpage depth‐level dwell time C Wang, S Zhao, A Kalra, C Borcea, Y Chen Journal of the Association for Information Science and Technology 69 (8 …, 2018 | 3 | 2018 |
| FGLP: A federated fine-grained location prediction system for mobile users X Jiang, S Zhao, G Jacobson, R Jana, WL Hsu, M Talasila, SA Aftab, ... arXiv preprint arXiv:2106.08946, 2021 | 2 | 2021 |
| Learning Personalized Representations using Graph Convolutional Network H Shen, J Oh, S Zhao, G Wang, T Taghavi, S Lee 17th International Workshop on Mining and Learning with Graphs, co-located …, 2022 | 1 | 2022 |
| Providing Customer Care Based on Analysis of Customer Care Contact Wen-ling Hsu, Guang-qin Ma, Guy Jacobson, Jenq-chyuan Wang, Tan Xu, Kevin ... US Patent App. 17/106,934, 2022 | 1* | 2022 |
| Artificial intelligence automation to improve network quality based on predicted locations M Talasila, AS Aftab, W Hsu, C Borcea, Y Chen, X Jiang, S Zhao, ... US Patent 11,848,828, 2023 | | 2023 |
| A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data W Ye, H Yang, S Zhao, H Fang, X Shi, N Neppalli SIGIR Industry Track, 2023 | | 2023 |
Cristian BorceaProfessor, Department of Computer Science, New Jersey Institute of TechnologyZweryfikowany adres z njit.edu
