Shuang Li

Shuang Li

PhD Candidate · College of Future Technology · Peking University

Email: Jaeger1412@163.com
Homepage: https://github.com/JaegerCQ
WeChat: Jaeger1412

---

About Me

I am a PhD candidate in Biomedical Engineering at the College of Future Technology, Peking University, supervised by Prof. Changhui Li and Prof. Yao Yao. My research interests include computational 3D imaging, AI4Science, and applications of deep learning in physics and biology. I completed my undergraduate studies at Kuang Yaming Honors School, Nanjing University, majoring in Biophysics.
I have published first‑author papers in Nature Communications, Photoacoustics, and Journal of Biomedical Optics, and have received the Peking University Presidential Scholarship and the National Scholarship.

---

Education

• 2022–Present
  PhD Student, Biomedical Engineering, College of Future Technology, Peking University
• 2018–2022
  BSc, Biophysics, Kuang Yaming Honors School, Nanjing University

---

Publications

1. S. Li, Y. Wang, J. Gao, et al. SlingBAG: Point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging. Nature Communications, 2025.
2. S. Li, Q. Chen, C. Kim, et al. Zero-shot artifact2artifact: Self-incentive artifact removal for photoacoustic imaging. Photoacoustics, 2025.
3. S. Li, G. Zhang, Y. Wang, et al. Photoacoustic imaging of peripheral vessels in extremities by large-scale synthetic matrix array. Journal of Biomedical Optics, 2024.
4. Y. Zhang, S. Li, Y. Wang, et al. Iterative optimization algorithm with structural prior for artifacts removal of photoacoustic imaging. Photoacoustics, 2025.
5. H. Wan, J. Chen, S. Li, et al. Design of underwater acoustic touchscreen based on deep convolutional neural network. Applied Acoustics, 2023.
6. Z. Zhang, Z. Mei, Q. Han, S. Li, et al. Acoustic signal-based precise positioning of Bragg peak for laser-accelerated monoenergetic proton pulses. Medical Physics, 2025.

---

Open‑Source Projects

• SlingBAG
  3D Gaussian Splatting–based iterative reconstruction for large-scale photoacoustic imaging with point‑cloud iteration and differentiable rendering.
  https://github.com/JaegerCQ/SlingBAG
• ZS‑A2A
  Zero‑shot self‑supervised artifact removal for 3D reconstruction; plug‑and‑play; fast quality enhancement.
  https://github.com/JaegerCQ/ZS-A2A

---

Patents

• Underwater acoustic 3D touchscreen system based on leaky Lamb waves and convolutional neural networks (First inventor)
• 3D photoacoustic imaging method and system for peripheral vessels (Second inventor)

---

Skills

• Python (PyTorch), Matlab, C++
• Parallel Computing: CUDA, Taichi
• 3D Design: Solidworks, Blender, Unity
• Languages: Chinese, English, German

---

Awards

• 2025 Presidential Scholarship, Peking University
• 2025 National Scholarship, Peking University
• 2024 Industrial Bank Scholarship
• 2021 M Prize (International First Prize), Mathematical Contest in Modeling
• 2019 Top‑Notch Talent Program Scholarship, First Prize
• 2019 People’s Scholarship, First Prize