| IMS diameter router with load balancing C Yigang, P Ke, LX Yang US Patent 8,468,267, 2013 | 194 | 2013 |
| Time series anomaly detection for trustworthy services in cloud computing systems C Huang, G Min, Y Wu, Y Ying, K Pei, Z Xiang IEEE Transactions on Big Data 8 (1), 60-72, 2017 | 84 | 2017 |
| An intelligent anomaly detection scheme for micro-services architectures with temporal and spatial data analysis Y Zuo, Y Wu, G Min, C Huang, K Pei IEEE Transactions on Cognitive Communications and Networking 6 (2), 548-561, 2020 | 79 | 2020 |
| Towards experienced anomaly detector through reinforcement learning C Huang, Y Wu, Y Zuo, K Pei, G Min Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 58 | 2018 |
| IMS gateway systems and methods Y Cai, S Chen, Q He, L Jiang, K Pei, JA Stafford, J Su, YP Wu, CL Zhang US Patent 8,139,735, 2012 | 49 | 2012 |
| IMS budget control for a media change during an IMS session Y Cai, Q He, K Pei, J Su, C Zhang, JZ Zhao US Patent 8,295,456, 2012 | 30 | 2012 |
| Providing notification in ims networks Y Cai, X Li, K Pei, J Su, JZ Zhao US Patent App. 11/563,470, 2008 | 29 | 2008 |
| IMS gateway systems and methods that validate routing to online charging systems Y Cai, K Pei, J Su, G Xing, J Zhao US Patent App. 11/190,702, 2006 | 18 | 2006 |
| Statistical certification of acceptable robustness for neural networks C Huang, Z Hu, X Huang, K Pei Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 16 | 2021 |
| Distributive correlation of charging records across network domains K Pei, R Sharma US Patent App. 13/260,436, 2012 | 14 | 2012 |
| Charging in ims networks for sessions that are transferred between access networks Y Cai, YD Li, K Pei, C Xu US Patent App. 12/808,108, 2010 | 14 | 2010 |
| Monitoring perception reliability in autonomous driving: Distributional shift detection for estimating the impact of input data on prediction accuracy F Hell, G Hinz, F Liu, S Goyal, K Pei, T Lytvynenko, A Knoll, C Yiqiang Proceedings of the 5th ACM Computer Science in Cars Symposium, 1-9, 2021 | 10 | 2021 |
| Cross-modal matching cnn for autonomous driving sensor data monitoring Y Chen, F Liu, K Pei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Capture uncertainties in deep neural networks for safe operation of autonomous driving vehicles L Ding, D Li, B Liu, W Lan, B Bai, Q Hao, W Cao, K Pei 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | 5 | 2021 |
| Label-assisted memory autoencoder for unsupervised out-of-distribution detection S Zhang, C Pan, L Song, X Wu, Z Hu, K Pei, P Tino, X Yao Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 5 | 2021 |
| Performance analysis and simulation of mobile IP with Route Optimization K Pei, J Li, F Guo Acta Electronica Sinica 30 (4), 484-487, 2002 | 5 | 2002 |
| Towards an active probing extension for the ONOS SDN controller C Metter, V Burger, Z Hu, K Pei, F Wamser 2018 28th International Telecommunication Networks and Applications …, 2018 | 4 | 2018 |
| Automating Vehicle SOA Threat Analysis Using a Model-Based Methodology. YG Dantas, S Barner, P Ke, V Nigam, U Schöpp ICISSP, 180-191, 2023 | 2 | 2023 |
| Methods for deep learning model failure detection and model adaption: A survey X Wu, Z Hu, K Pei, L Song, Z Cao, S Zhang 2021 IEEE International Symposium on Software Reliability Engineering …, 2021 | 2 | 2021 |
| Self-supervised sun glare detection CNN for self-aware autonomous driving Y Chen, F Liu, K Pei Machine Learning for Autonomous Driving Workshop at the 35th Conference on …, 2021 | 2 | 2021 |
