About Me
I am a Ph.D. student at Nankai University, with prior training in network engineering and computer application technology at Jiangxi University of Science and Technology. My recent work focuses on large model fine-tuning, federated learning security, and backdoor defense. I am interested in building robust and trustworthy intelligent systems for real-world deployment.
Research Interests
- Large Language Model Fine-tuning and Alignment
- Parameter-Efficient Tuning (LoRA/Adapter) and Secure Deployment
- Federated Learning Security, Backdoor Detection and Defense
Academic Experience
- Ph.D. Candidate, Nankai University (2024-Present)
- M.Eng. in Computer Application Technology, Jiangxi University of Science and Technology (2021-2024)
- B.Eng. in Network Engineering, Jiangxi University of Science and Technology (2016-2020)
Publications
Selected publications.
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2026
FLSDA: A synergistic defense against backdoor attacks in federated learning
Yangtao Chen, Hang Gao, Hao Wang, Tiegang Gao
DOI: 10.1016/j.ins.2025.122974 -
2024
Multiple reference points-based multi-objective feature selection for multi-label learning
Yangtao Chen, Wenbin Qian
DOI: 10.1007/s10489-024-05387-0 -
2024
An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization
Peng Liang, Yangtao Chen, Yafeng Sun, Ying Huang, Wei Li
DOI: 10.1016/j.eswa.2023.122164 -
2024
A solution potential-based adaptation reference vector evolutionary algorithm for many-objective optimization
Wei Li, Yangtao Chen, Yuehua Dong, Ying Huang
DOI: 10.1016/j.swevo.2023.101451 -
2023
A cooperative particle swarm optimization with difference learning
Wei Li, Jianghui Jing, Yangtao Chen, Yishan Chen
DOI: 10.1016/j.ins.2023.119238 -
2022
Dual-Stage Hybrid Learning Particle Swarm Optimization Algorithm for Global Optimization Problems
Wei Li, Yangtao Chen, Qian Cai, Cancan Wang, Ying Huang, Soroosh Mahmoodi
DOI: 10.23919/csms.2022.0018
Academic Service & Activities
- Active in scholarly discussions and collaborative projects.
- Open to student research internships and project collaboration.