| A self-organizing incremental neural network based on local distribution learning Y Xing, X Shi, F Shen, K Zhou, J Zhao Neural Networks 84, 143-160, 2016 | 28 | 2016 |
| Solving the data imbalance problem of P300 detection via random under-sampling bagging SVMs X Shi, G Xu, F Shen, J Zhao 2015 International Joint Conference on Neural Networks (IJCNN), 1-5, 2015 | 22 | 2015 |
| A fast hybrid data sharing framework for hierarchical mobile edge computing J Xie, D Guo, X Shi, H Cai, C Qian, H Chen IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2609-2618, 2020 | 20 | 2020 |
| A universal method to combat multipaths for RFID sensing G Wang, C Qian, K Cui, X Shi, H Ding, W Xi, J Zhao, J Han IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 277-286, 2020 | 18 | 2020 |
| On-device IoT certificate revocation checking with small memory and low latency X Shi, S Shi, M Wang, J Kaunisto, C Qian Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 16 | 2021 |
| When tags ‘read’each other: Enabling low-cost and convenient tag mutual identification H Cai, G Wang, X Shi, J Xie, M Wang, C Qian, S Chen ACM Transactions on Sensor Networks (TOSN) 18 (2), 1-22, 2022 | 11 | 2022 |
| HDS: A fast hybrid data location service for hierarchical mobile edge computing D Guo, J Xie, X Shi, H Cai, C Qian, H Chen IEEE/ACM Transactions on Networking 29 (3), 1308-1320, 2021 | 11 | 2021 |
| TagAttention: Mobile object tracing without object appearance information by vision-RFID fusion X Shi, M Wang, G Wang, B Huang, H Cai, J Xie, C Qian 2019 IEEE 27th International Conference on Network Protocols (ICNP), 1-11, 2019 | 10 | 2019 |
| Multi-scale V-Net: a deep learning framework for brain tumor segmentation in multiparametric MRI Y Liu, X Shi, Y Xia, Y Lei, L Tang, T Liu, W Curran, H Mao, X Yang Medical Physics 45 (6), E568-E568, 2018 | 8 | 2018 |
| Tagattention: Mobile object tracing with zero appearance knowledge by vision-rfid fusion X Shi, H Cai, M Wang, G Wang, B Huang, J Xie, C Qian IEEE/ACM Transactions on Networking 29 (2), 890-903, 2021 | 5 | 2021 |
| Perception coordination network: A neuro framework for multimodal concept acquisition and binding YL Xing, XF Shi, FR Shen, JX Zhao, JX Pan, AH Tan IEEE transactions on neural networks and learning systems 30 (4), 1104-1118, 2018 | 5 | 2018 |
| A Generalized method to combat multipaths for RFID sensing G Wang, X Shi, H Cai, C Qian, H Ding, W Xi, K Zhao, J Zhao, J Han IEEE/ACM Transactions on Networking 31 (1), 336-351, 2022 | 4 | 2022 |
| Towards automatic troubleshooting for user-level performance degradation in cellular services X Shi, M Osinski, C Qian, J Wang Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022 | 2 | 2022 |
| Don't Work on Individual Data Plane Algorithms. Put Them Together! C Qian, S Shi, X Shi, M Wang Proceedings of the 19th ACM Workshop on Hot Topics in Networks, 60-66, 2020 | 1 | 2020 |
| Automatic troubleshooting system for user-level performance degradation in cellular services J Wang, AK Sheoran, X Shi, C Qian, M Osinski US Patent App. 17/957,915, 2024 | | 2024 |
| Automated ai/ml management of user experiences: system and method J Wang, X Shi, AK Sheoran, M Osinski, C Qian US Patent App. 17/957,981, 2024 | | 2024 |
| Automated ai/ml event management system J Wang, AK Sheoran, X Shi, M Osinski, C Qian US Patent App. 17/957,956, 2024 | | 2024 |
| ML-based Cellular Service Issue Troubleshooting Using Limited Ground Truth Data X Shi, C Qian, A Sheoran, J Wang 2022 IEEE International Symposium on Local and Metropolitan Area Networks …, 2022 | | 2022 |
| Data-Driven Approaches and Systems for the Reliability of Mobile Network Services X Shi University of California, Santa Cruz, 2022 | | 2022 |
| Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces X Shi, F Shen, J Zhao 2016 International Joint Conference on Neural Networks (IJCNN), 3038-3045, 2016 | | 2016 |
