Yunqi Gao
Orcid: 0009-0003-0599-8383
According to our database1,
Yunqi Gao
authored at least 17 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
PipeSFL: A Fine-Grained Parallelization Framework for Split Federated Learning on Heterogeneous Clients.
IEEE Trans. Mob. Comput., March, 2025
A Dynamic Sliding Window Based Tensor Communication Scheduling Framework for Distributed Deep Learning.
IEEE Trans. Netw. Sci. Eng., 2025
J. Parallel Distributed Comput., 2025
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
Proceedings of the 26th IEEE International Conference on High Performance Switching and Routing, 2025
2024
DGS: An Efficient Delay-Guaranteed Scheduling Framework for Wireless Deterministic Networking.
IEEE Trans. Netw. Serv. Manag., December, 2024
US-Byte: An Efficient Communication Framework for Scheduling Unequal-Sized Tensor Blocks in Distributed Deep Learning.
IEEE Trans. Parallel Distributed Syst., January, 2024
GWPF: Communication-efficient federated learning with Gradient-Wise Parameter Freezing.
Comput. Networks, 2024
Proceedings of the Artificial Intelligence and Robotics - 9th International Symposium, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
OF-WFBP: A near-optimal communication mechanism for tensor fusion in distributed deep learning.
Parallel Comput., November, 2023
Single-image clothed 3D human reconstruction guided by a well-aligned parametric body model.
Multim. Syst., June, 2023
IEEE Robotics Autom. Lett., March, 2023
2021
HEI-Human: A Hybrid Explicit and Implicit Method for Single-View 3D Clothed Human Reconstruction.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
2020
FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction.
Sensors, 2020
FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping Recognition.
IEEE Access, 2020
Proceedings of the CCRIS 2020: International Conference on Control, 2020