👋 About Me

Hello! I am Qun Yang (杨群), currently a direct Ph.D. student at the College of Computer Science and Technology, National University of Defense Technology (NUDT), China.

I am honored to be advised by Prof. Wei Chen and co-supervised by Assoc. Researcher Long Lan. At the same time, I am very fortunate to receive guidance and collaborate with Assoc. Prof. Li Shen from Sun Yat-sen University and Dr. Enneng Yang.

I welcome academic exchanges and cooperation. Please feel free to contact me!

As a new researcher, I am eager to learn, grow, and contribute to the academic community. My research interests include:

• Large Language Model: continual pretraining/finetuning, knowledge editing
• Machine Learning: model merging, multi-task learning, continual/incremental learning, data-free learning, dataset/knowledge distillation

📖 Education

• 2024.09 – Present: Ph.D. Student (Direct-PhD) at College of Computer Science and Technology, National University of Defense Technology (NUDT), China.

📝 Selected Preprints and Publications

Conference Papers

• Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
  ICML 2026 | Code
  Qun Yang, Enneng Yang, Wei Chen, Li Shen, Long Lan.

• MergOPT: A Merge-Aware Optimizer for Robust Model Merging
  ICLR 2026| Code
  Enneng Yang, Qun Yang, Peng Wang, Anke Tang, Guibing Guo, Xiaochun Cao, Li Shen.

💬 Contact

• Email: yangqun@nudt.edu.cn / 2537148609@qq.com
• GitHub: yangqun123456