| Location-aware deep collaborative filtering for service recommendation Y Zhang, C Yin, Q Wu, Q He, H Zhu IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3796-3807, 2021 | 173 | 2021 |
| Covering-based web service quality prediction via neighborhood-aware matrix factorization Y Zhang, K Wang, Q He, F Chen, S Deng, Z Zheng, Y Yang IEEE Transactions on Services Computing 14 (5), 1333-1344, 2021 | 154 | 2021 |
| Efficient Query of Quality Correlation for Service Composition Y Zhang, G Cui, S Deng, F Chen, Y Wang, Q He IEEE Transactions on Services Computing, DOI:10.1109/TSC.2018.2830773,2018, 2021 | 93 | 2021 |
| Traffic flow prediction over muti-sensor data correlation with graph convolution network W Li, X Wang, Y Zhang, Q Wu Neurocomputing 427, 50-63, 2021 | 82 | 2021 |
| Privacy-preserving quality prediction for edge-based IoT services Y Zhang, J Pan, L Qi, Q He Future Generation Computer Systems 114, 336-348, 2021 | 75 | 2021 |
| A novel multi-scale cooperative mutation fruit fly optimization algorithm Y Zhang, G Cui, J Wu, WT Pan, Q He Knowledge-Based Systems 114, 24-35, 2016 | 70 | 2016 |
| Integrated CNN and federated learning for COVID-19 detection on chest X-ray images Z Li, X Xu, X Cao, W Liu, Y Zhang, D Chen, H Dai IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 68 | 2022 |
| Interference-aware game-theoretic device allocation for mobile edge computing G Cui, Q He, F Chen, Y Zhang, H Jin, Y Yang IEEE Transactions on Mobile Computing 21 (11), 4001-4012, 2021 | 66 | 2021 |
| An energy-and cost-aware computation offloading method for workflow applications in mobile edge computing K Peng, M Zhu, Y Zhang, L Liu, J Zhang, VCM Leung, L Zheng EURASIP Journal on Wireless Communications and Networking 2019, 1-15, 2019 | 65 | 2019 |
| EHSO: Evolutionary Hybrid Sampling in overlapping scenarios for imbalanced learning Y Zhu, Y Yan, Y Zhang, Y Zhang Neurocomputing 417, 333-346, 2020 | 52 | 2020 |
| An optimization algorithm for service composition based on an improved FOA Y Zhang, G Cui, Y Wang, X Guo, S Zhao Tsinghua Science and Technology 20 (1), 90-99, 2015 | 52 | 2015 |
| Service recommendation based on quotient space granularity analysis and covering algorithm on Spark Y Zhang, Y Zhou, F Wang, Z Sun, Q He Knowledge-Based Systems 147, 25-35, 2018 | 51 | 2018 |
| A time-aware dynamic service quality prediction approach for services Y Jin, W Guo, Y Zhang Tsinghua Science and Technology 25 (2), 227-238, 2019 | 45 | 2019 |
| Cold start recommendation based on attribute-fused singular value decomposition X Guo, SC Yin, YW Zhang, W Li, Q He IEEE Access 7, 11349-11359, 2019 | 44 | 2019 |
| Revisiting graph-based recommender systems from the perspective of variational auto-encoder Y Zhang, Y Zhang, D Yan, S Deng, Y Yang ACM Transactions on Information Systems 41 (3), 1-28, 2023 | 37 | 2023 |
| LDAS: Local density-based adaptive sampling for imbalanced data classification Y Yan, Y Jiang, Z Zheng, C Yu, Y Zhang, Y Zhang Expert Systems with Applications 191, 116213, 2022 | 37 | 2022 |
| Spatial distribution-based imbalanced undersampling Y Yan, Y Zhu, R Liu, Y Zhang, Y Zhang, L Zhang IEEE Transactions on Knowledge and Data Engineering 35 (6), 6376-6391, 2022 | 35 | 2022 |
| An LSH-based offloading method for IoMT services in integrated cloud-edge environment X Xu, Q Huang, Y Zhang, S Li, L Qi, W Dou ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 34 | 2021 |
| FedCDR: Privacy-preserving federated cross-domain recommendation D Yan, Y Zhao, Z Yang, Y Jin, Y Zhang Digital Communications and Networks 8 (4), 552-560, 2022 | 33 | 2022 |
| Recurrent tensor factorization for time-aware service recommendation Y Zhang, C Yin, Z Lu, D Yan, M Qiu, Q Tang Applied Soft Computing 85, 105762, 2019 | 33 | 2019 |