🧑🎓 About Me
I’m a Phd student at the School of Cyber Science and Technology, Sun Yat-Sen University 
, supervised by Prof. Lei Xue. I have got the bachelor degree in China University of Geosciences, Wuhan 
. I have got the master degree in Beijing Institute of Technology 
as a member of the State Key Laboratory of Intelligent information processing and control, supervised by Prof. Yufeng Zhan and Prof. Yuanqing Xia. I am now working on federated learning(FL), deep reinforcement learning(DRL) and cloud computing. If you are seeking any form of academic cooperation, please feel free to email me at qitianyuqty@163.com.
I am active on 
🏷 Projects
- 2022.01 - 2024.12, Research on key methods of incentive mechanism for federated learning sustainable training. (Participate) Supported by the Young Scientists Fund of the National Natural Science Foundation of China. Responsible for the optimization research of federated learning algorithm based on reinforcement learning.
- 2022.09 - 2022.12, Comprehensive Study of Reinforcement Learning Applications in Aviation. (Participate) Supported by the China’s aviation system engineering research institute. Responsible for researching on UAV path planning based on reinforcement learning.
- 2021.03 - 2022.03, Cloud-side collaborative software design. (Participate) Supported by the China Unicom. Responsible for researching on task scheduling algorithm in Cloud-Edge collaborative environment.
- 2018.05 - 2021.12, Data-driven cloud data center intelligent management technology and platform. (Participate) Supported by the National Key Research and Development Program of China. Responsible for the optimization of the task graph classification algorithm in the scheduling algorithm.
📝 Publications
📜 Articles
TSO: Self-Training with Scaled Preference Optimization
Submitted to AAAI 2025
(coming soon)
Kaihui Chen, Hao Yi, Qingyang Li, Tianyu Qi, Yulan Hu, Fuzheng Zhang
Submitted to IEEE Transactions on Services Computing
(coming soon)
Tianyu Qi, Yufeng Zhan, Peng Li, Yuanqing Xia
Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization
2023 IEEE International Conference on Computer Communications
| 20-05-2024 | Slide |
Tianyu Qi, Yufeng Zhan, Peng Li, Yuanqing Xia
Hwamei: A Learning-based Aggregation Framework for Hierarchical Federated Learning
2023 43rd IEEE International Conference on Distributed Computing Systems
| 18-07-2023 | Slide |
Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia
The Research on Approximating the Real Network Degree Distribution Level Based on DCSBM
2022 41st Chinese Control Conference (CCC)
| 25-07-2022 | Slide |
Tianyu Qi, Hongwei Zhang, Yufeng Zhan, Yuanqing Xia
📁 Patents
- An edge intelligent optimization method and device(issued), Yufeng Zhan, Jiasheng Wang, Tianyu Qi, Dihua Zhai, Yuan Zhang, Chuge Wu, Yuanqing Xia, 2023.01.24, CN115357402B
- A cloud-edge-device collaborative federated learning intelligent optimization method and device(filed), Yufeng Zhan, Tianyu Qi, Dihua Zhai, Yuan Zhang, Chuge Wu, Yuanqing Xia
🎖 Honors and Awards
- 2024.06 Outstanding graduates of Beijing Institute of Technology. (Top 10%)
- 2023.11 Society scholarship of Bank of China, 2023.
- 2023.08 Third Prize of China Computer Game Competition, 2023.
- 2023.06 Third Prize in the National Mathorcup Mathematical Modeling Competition, 2023.
- 2022.10 Excellent student of Beijing Institute of Technology, 2022.
- 2022.10 First prize of China Computer Game Competition,2022. (Top 1%)
- 2022.09 The special scholarship of Beijing Institute of Technology, 2022.
- 2021.06 Outstanding graduates of China University of Geosciences, Wuhan. (Top 1%)
- 2020.10 Principle’s scholarship of China University of Geosciences, Wuhan. (Top 3%)
📖 Educations
- 2024.09 - Now, Doctor in Cyber Science and Technology major, Ph.D, Sun Yat-Sen University.
- 2021.09 - 2024.06, Master of Automation major, Postgraduate, Beijing Institute of Technology. (Grade: 89.71/100)
- 2017.09 - 2021.06, Bachelor of Automation major, Undergraduate, China University of Geosciences, Wuhan. (GPA: 3.97/5)
📚 Skills
- Software: Matlab & Simulink, C & C++, Python, Pytorch, Bash, Linux, Docker, Latex, MS Office
- Language: English (CET-6, IELTS-6.5), Chinese (Native)
💻 Internships
- 2024.02 - 2024.07, Kuaishou Technology
, Large Language Model Interns. Responsible for the alignment of KwaiYii using Reinforcement Learning from Human Feedback (RLHF). Optimize the Direct Preference Optimization (DPO) algorithm - 2021.06 - 2021.08, Taiji Computer Corporation Limited
, IoT technology Interns. Responsible for the deployment of the back-end environment of the IoT platform and some product prototype design