🎓 About Me

🚀 Research Interests

Y. Q. Gao, B. Hu, M. B. Mashhadi, W. Wang, R. Tafazolli, and M. Debbah, “PipeDAP: An Efficient Communication Framework for Scheduling Decoupled All-Reduce Primitives in Distributed DNN Training,” IEEE Transactions on Emerging Topics in Computing, Accepted on May. 19, 2025. (SCI Q1)
Y. Q. Gao, Z. Zhang, B. Hu, M. B. Mashhadi, A. L. Jin and P. Xiao, “NetPlacer+: Model Parallelism based on Load Balance in Distributed Deep Learning,” IEEE Transactions on Emerging Topics in Computational Intelligence, Accepted on Feb. 25, 2025. (SCI Q1)
Y. Q. Gao, B. Hu, M. B. Mashhadi, W. Wang, M. Bennis, “PipeSFL: A Fine-Grained Parallelization Framework for Split Federated Learning on Heterogeneous Clients,” IEEE Transactions on Mobile Computing, vol. 24, no. 3, pp. 1774-1791, 2025. (CCF A, SCI Q1)
Y. Q. Gao, B. Hu, M. B. Mashhadi, W. Wang, R. Tafazolli, and M. Debbah, “A Dynamic Sliding Window based Tensor Communication Scheduling Framework for Distributed Deep Learning,” IEEE Transactions on Network Science and Engineering, vol. 12, no. 2, pp. 1080-1095, 2025. (SCI Q1)
M. H. Chang, Y. Q. Gao, B. Hu, P. Xiao, S. C. Zhang, C. H. Gu, and Y. S. Liu, “Dynamic Queuing for Approximate Fairness in Programmable Shared Memory Switches,” IEEE 26th International Conference on High Performance Switching and Routing (HPSR), 2025.

D. Yang, Y. Q. Gao, B. Hu, A. L. Jin, W. Wang, and Y. You, “GWPF: Communication-Efficient Federated Learning with Gradient-Wise Parameter Freezing,” Elsevier Computer Networks, vol. 255, no. 110886, 2024. (CCF B, SCI Q1)
M. H. Chang, H. J. Lv, Y. Q. Gao, B. Hu, W. Wang, and Z. Yang, “DGS: An Efficient Delay-Guaranteed Scheduling Framework for Wireless Deterministic Networking,” IEEE Transactions on Network and Service Management, vol. 21, no. 6, pp. 6582-6596, 2024. (CCF C, SCI Q1)
Y. Q. Gao, B. Hu, M. B. Mashhadi, A. L. Jin, P. Xiao, and C. M. Wu, “US-Byte: An Efficient Communication Framework for Scheduling Unequal-sized Tensor Blocks in Distributed Deep Learning,” IEEE Transactions on Parallel and Distributed Systems, Vol. 35, Issue. 1, pp. 123-139, 2024. (CCF A, SCI Q1)

Y. Q. Gao, Z. C. Zhang, B. Hu, A. L. Jin, and C. M. Wu, “OF-WFBP: A Near-optimal Communication Mechanism for Tensor Fusion in Distributed Deep Learning,” Elsevier Parallel Computing, Vol. 118, No.103053, pp. 1-13, 2023. (CCF B)

Y. Q. Gao, F. Luan, J. Q. Pan, X. Li, and Y. D. He, “FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction,” MDPI SENSORS, vol. 20, no. 15, pp. 4191-4204, 2020. (SCI Q1)
J. Q. Pan, F. Luan, Y. Q. Gao and Y. J. Wei, “FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping Recognition,” IEEE ACCESS, vol. 8, pp. 139966-139973, 2020. (SCI Q1)

2024.10 Zhejiang University Outstanding Graduate Student
2024.07 Public Study Abroad approved by China Scholarship Council (CSC)
2022.10 Zhejiang University Triple A Graduate Student (3%)
2022.10 Zhejiang University Outstanding Graduate Student
2022.10 Zhejiang University New PhD Student Scholarship
2021.06 Outstanding Graduate of Liaoning Province (1%)
2021.06 Outstanding Thesis of Northeastern University (1%)
2020.11 National Second Prize of Intel Embedded System Invitation Competition
2020.10 Postgraduate Recommendation to Zhejiang University
2020.10 China National Scholarship (1%)
2020.10 Northeastern University Outstanding Student (1%)
2019.10 Huawei Scholarship
2019.06 Second Prize of Liaoning Province of China Electronic Design Competition
2019.03 H Prize of the United States Mathematical Modelling Competition
2018.10 China National Scholarship (1%)
2018.10 Northeastern University Outstanding Student (1%)
2018.06 First Prize of Liaoning Province Electronic Design Competition

2024.11 - now, Visiting Researcher, University of Surrey, Institute for Communication Systems, 5G/6G Innovation Centre
2021.09 - now, Ph.D. Zhejiang University, Department of Information Science and Electronic Engineering
2017.09 - 2021.06, B.S. Northeastern University, Department of Computer Science and Engineering