I am Anpeng Wang (王安鹏), currently an undergraduate student majoring in Robotics Engineering at the School of Control Science and Engineering, Shandong University. Academically, I am fortunate to study under the supervision of Professor Runmin Cong and am now affiliated with Multimedia and Vision Processing Group (MVP Group), which is attached to the Key Laboratory of Machine Intelligence and System Control, Ministry of Education.
My core research interests focus on Few-shot Learning. Currently, I am conducting relevant exploratory work around these research directions.
Regarding my future academic plan, I have decided to continue pursuing a Master’s degree at the School of Control Science and Engineering, Shandong University starting from 2026, where I will continue to delve deeply into the aforementioned research fields.
If you are interested in any form of academic cooperation, please feel free to contact me via email: rawwap@mail.sdu.edu.cn.
🔥 News
- 2025.11: 🎉🎉🎉 My first paper is accepted by AAAI 2026 (Oral)!
📝 Publications
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
Runmin Cong, Anpeng Wang, Bin Wan, Cong Zhang, Xiaofei Zhou, Wei Zhang
- This paper focuses on Cross-Domain Few-Shot Segmentation, leveraging feature disentanglement enabled by contrastive-adversarial learning.
🎖 Honors and Awards
- 2024.09 Shandong University Outstanding Student Scholarship
- 2024.07 Shandong University Innovation and Entrepreneurship Scholarship
- 2023.12 APMCM Asia-Pacific Mathematical Contest in Modeling First Prize
- 2023.09 Shandong University Outstanding Student Scholarship
- 2023.08 National University Students Intellingent Car Race National Second Prize
📖 Educations
- 2026.09 (future), Master, School of Control Science and Engineering, Shandong University, Jinan, China. Advisor: Prof. Runmin Cong
- 2022.09 - 2026.07 (now), Undergraduate, School of Control Science and Engineering, Shandong University, Jinan, China. Advisor: Prof. Runmin Cong
💻 Professional Services
- 2025, Reviewer for Association for the Advancement of Artificial Intelligence (AAAI 2026)