An intelligent end–edge–cloud architecture for visual IoT-assisted healthcare systems Z Yang, B Liang, W Ji IEEE internet of things journal 8 (23), 16779-16786, 2021 | 75 | 2021 |
Crowd V-IoE: Visual internet of everything architecture in AI-driven fog computing W Ji, B Liang, Y Wang, R Qiu, Z Yang IEEE Wireless Communications 27 (2), 51-57, 2020 | 38 | 2020 |
Visual E2C: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities Z Yang, D Hu, Q Guo, L Zuo, W Ji IEEE Wireless Communications 30 (3), 204-210, 2023 | 13 | 2023 |
Javp: Joint-aware video processing with edge-cloud collaboration for dnn inference Z Yang, W Ji, Q Guo, Z Wang Proceedings of the 31st ACM International Conference on Multimedia, 9152-9160, 2023 | 10 | 2023 |
Perllm: Personalized inference scheduling with edge-cloud collaboration for diverse llm services Z Yang, Y Yang, C Zhao, Q Guo, W He, W Ji arXiv preprint arXiv:2405.14636, 2024 | 9 | 2024 |
Meta measurement of intelligence with crowd network Z Yang, W Ji International Journal of Crowd Science 4 (3), 295-307, 2020 | 5 | 2020 |
An intelligence optimization method based on crowd intelligence for IoT devices K Wang, Z Yang, B Liang, W Ji International Journal of Crowd Science 5 (3), 218-227, 2021 | 4 | 2021 |
Dsp: Dynamic sequence parallelism for multi-dimensional transformers X Zhao, S Cheng, C Chen, Z Zheng, Z Liu, Z Yang, Y You arXiv preprint arXiv:2403.10266, 2024 | 3 | 2024 |
Crowd evolution method based on intelligence level clustering L Ge, Z Yang, W Ji International Journal of Crowd Science 5 (2), 204-215, 2021 | 3 | 2021 |
Understanding crowd intelligence in large-scale systems: a hierarchical binary particle swarm optimization approach L Zhai, Z Yang, W Ji 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 3 | 2020 |
Adaptive joint configuration optimization for collaborative inference in edge-cloud systems Z Yang, W Ji, Z Wang Science China Information Sciences 67 (4), 149103, 2024 | 2 | 2024 |
A quality-time model of heterogeneous agents measure for crowd intelligence Z Yang, W Ji 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 2 | 2020 |
A universal intelligence measurement method based on meta-analysis Z Yang, W Ji 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 2 | 2019 |
CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration Z Yang, W Ji, Q Guo, D Hu, C Zhao, X Li, X Zhao, Y Zhao, C Gong, Y You arXiv preprint arXiv:2502.04078, 2025 | | 2025 |
JVAP: A Joint Video Acceleration Processing Architecture for Online Edge Systems N Li, Z Yang, M Li, W Ji 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1-6, 2023 | | 2023 |
Crowd Intelligence Empowered Video Transmission in Ultra-low-bandwidth Constrained Circumstances H Qiao, Z Yang, B Liang, W Ji 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | | 2020 |